Total 23 Information Technology job vacancies

COMPANY DESCRIPTION

NVPC is the national agency dedicated to growing a culture of volunteerism and philanthropy in Singapore. By engaging individuals, organisations, communities and leaders across the people, private and public sectors, we seek to create a more caring, inclusive, and compassionate society. Together, we envision Singapore as a City of Good, where everyone is able to give every day and everywhere (3Es), contributing their time, talent, treasure, ties and testimony (5Ts). Learn more at nvpc.org.sg.

RESPONSIBILITIES

• Develop proof-of-concept solutions to validate new product ideas or technical approaches

• Design and build automated workflows to streamline manual business processes using tools such as Power Automate

• Assist in scripting and building integrations between internal systems and external platforms

• Collaborate with the team to identify automation opportunities and recommend practical solutions

• Support technical documentation of solutions, architectures, and implementation guides

• Pursuing a degree in Computer Science, Software Engineering, Information Technology, or a related fields
• Hands-on programming experience in at least one language (e.g. Python, JavaScript)
• Familiarity with APIs, scripting, and basic software development practices
• Exposure to or interest in automation platforms (e.g. Power Automate, UiPath)
• Ability to work independently on technical tasks with guidance

We are looking for a Head of Engineering to lead the development and delivery of large-scale digital products.

As Head of Engineering, you will provide technical and organizational leadership across multiple engineering teams responsible for building and operating mission-critical products. You will shape engineering direction, guide architectural decisions, and ensure systems are delivered with high standards of reliability, scalability, and security. Beyond delivery, you will play a key role in strengthening engineering culture, growing technical capability, and fostering collaboration between engineering, product, and stakeholders to deliver impactful digital solutions.

Job Responsibilities

Engineering Leadership & Delivery

• Lead and guide multiple engineering teams responsible for building and operating large-scale digital products and platforms.
• Define engineering direction and ensure alignment between technical strategy and product outcomes.
• Drive effective delivery through modern engineering practices, strong technical leadership, and continuous improvement.

Architecture & Technical Direction

• Provide architectural oversight across services and platforms to ensure scalability, reliability, and maintainability.
• Review system designs and guide teams through complex technical decisions and trade-offs.
• Support system modernization and adoption of cloud-native technologies and scalable platform architectures.

Team Leadership & Capability Development

• Build and mentor high-performing engineering teams.
• Coach senior engineers and technical leads to strengthen technical leadership within teams.
• Foster an engineering culture focused on ownership, collaboration, and continuous learning.

Cross-Functional Collaboration

• Partner closely with product managers, designers, and business stakeholders to translate requirements into scalable technical solutions.
• Contribute to product roadmap planning and technical feasibility discussions.
• Facilitate coordination across teams to ensure cohesive system design and delivery.

Engineering Excellence

• Promote best practices in system reliability, performance, observability, and security.
• Introduce tools and engineering processes that improve development efficiency and software quality.
• Support recruitment and development of strong technical talent.

Job Requirements

• 10+ years of software engineering experience, including several years in engineering leadership roles.
• Proven experience delivering and operating large-scale, high-availability software systems in production environments.
• Experience working in product-driven engineering environments, where teams own the full lifecycle of products from design and development to production operation and continuous improvement.
• Demonstrated experience collaborating closely with product managers, designers, and stakeholders to deliver user-centric products, rather than purely project-based delivery.
• Strong understanding of end-to-end system architecture, including application layers, APIs, integration, and infrastructure.
• Experience guiding teams working with modern software stacks, cloud platforms, and distributed systems.
• Demonstrated ability to lead multiple teams or complex engineering initiatives.
• Strong leadership and communication skills, with the ability to balance technical decision-making, team development, and stakeholder engagement.
• Experience working in Agile or iterative product development environments.
• Passion for building technology that delivers real-world impact at scale.

Infrastructure Management

• Manage and maintain complex cloud environments for AI workloads.
• Ensure secure, stable connectivity between internal systems and AI platforms.
• Perform ongoing system maintenance and monitoring to guarantee optimal AI model performance.
• Implement and maintain security protocols for AI data handling and model deployment.

Rapid Prototyping & Technical Validation

• Conduct technical due diligence for new AI technologies, frameworks, and vendor solutions.
• Build proof-of-concepts to validate AI model feasibility and performance.
• Perform stress-testing of AI vendor APIs, model endpoints, and third-party integrations.
• Document technical findings and provide recommendations for AI technology adoption.

Pipeline Development & AI Infrastructure

• Develop and maintain automated data pipelines for AI model training and inference.
• Write robust code to ensure reliable data movement from source systems to AI models.
• Implement MLOps practices for model deployment, monitoring, and maintenance.
• Build and maintain AI model serving infrastructure and API endpoints.

Must-Have Requirements

• Bachelor’s degree in Computer Science, Data Science, AI/Machine Learning, or related technical field.
• 3+ years of experience in AI/ML engineering or related technical roles.
• Strong programming skills in Python, with experience in AI/ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with cloud infrastructure management (AWS, Azure, or GCP).
• Knowledge of MLOps practices, model deployment, and monitoring.
• Experience with API development and integration for AI services.
• Understanding of data pipeline tools and ETL processes for AI applications.

Job Purpose

Intercontinental Exchange, Inc. (ICE) offers a unique opportunity to work on cutting-edge technology and complex business challenges in the financial sector. The Senior Network Engineer role within the ICE Network Engineering team provides technical leadership across network design, validation, deployment, maintenance, and operational support.

The successful candidate will help advance one of the world’s largest global financial networks, supporting a broad portfolio of mission-critical services. This role requires the ability to thrive in a dynamic, team-based global environment, demonstrating strong problem-solving, sound decision-making, and a high degree of professionalism.

Responsibilities

• Design, configure, and implement complex Juniper- and Arista-based data centre and WAN solutions that support real-time market data and multicast services, with an emphasis on ultra-low latency, resilience, and reliability.
• Collaborate with cross-functional teams to gather business and technical requirements and translate them into scalable, effective network designs.
• Support and maintain a range of multi-vendor production network environments that are critical to business operations.
• Develop and maintain high-quality network documentation, including diagrams, configurations, standards, and operating procedures.
• Provide expert-level troubleshooting and escalation support for network incidents and outages, restoring service quickly and minimizing operational impact.
• Stay current with industry trends, emerging technologies, and best practices related to WAN, data centre, and low-latency network engineering.
• Understand and follow ICE operational policies and procedures and actively promote adherence to them across day-to-day engineering activities.
• Provide the technical expertise required to ensure network changes are planned, validated, and executed safely, effectively, and efficiently.
• Work closely with vendors, service providers, and internal technology teams to deliver seamless, high-performance network solutions.

Knowledge and Experience

• Bachelor’s degree in computer science, Information Technology, or a related field.
• Must hold a current Juniper and/or Cisco professional-level certification.
• 7+ years of networking experience, including at least 5 years designing, configuring, and implementing complex Juniper-based global MPLS WAN networks.
• In-depth knowledge of WAN protocols and technologies, including BGP, IS-IS, OSPF, MPLS, VPLS, VPNs, and QoS.
• Extensive knowledge of two or more network operating systems or platforms, including Junos, IOS/NX-OS, EOS, or F5 LTM/GTM.
• Extensive knowledge of Check Point FW-1, Palo Alto, or similar stateful packet inspection firewalls.
• Deep understanding of TCP/IP, NAT, route maps, access control lists, and routing policies.
• Extensive hands-on experience with Juniper networking products, including Junos OS, MX Series routers, EX/QFX Series switches, and SRX Series firewalls.
• Extensive knowledge of multicast network design and troubleshooting, including IGMP and PIM protocols.
• Demonstrated ability to distinguish between critical business-impacting incidents and minor issues, and to resolve or escalate them appropriately.
• Understanding of low-latency network design principles, clock synchronization, and Precision Time Protocol (PTP) implementations.
• Strong knowledge of Python and experience using it for network automation and operational efficiency.
• Strong knowledge of modern configuration management and automation tools, including Ansible, Jinja, and JSON.
• Experience with network monitoring and management tools, together with strong packet capture and analysis skills.
• Thorough understanding of Linux shell commands and experience with network automation tools and frameworks.
• Ability to adapt to a fast-paced, evolving global environment while staying current with advancements in networking technology.

Personal Attributes

• Strong verbal and written communication skills, with a customer-focused approach.
• Self-motivated, with the ability to work independently and take ownership of outcomes.
• Able to manage multiple priorities and work effectively across concurrent projects.
• Professional, collaborative, and service-oriented in approach.

Schedule

• This role is office-based, with attendance required five days per week.
• Some weekend and after-hours work will be required to support operational and change activities

We are looking to speak to Software Engineering Managers!

Key Responsibilities

• Lead, mentor, and develop a team of software engineers, fostering a culture of collaboration, innovation, and continuous improvement.
• Drive technical design, architecture discussions, and implementation strategies for scalable and resilient applications.
• Oversee the end-to-end software development lifecycle, from planning and design to deployment and support.
• Partner with Product Managers, Architects, and cross-functional teams to define technical roadmaps and deliver business objectives.
• Establish engineering best practices, coding standards, CI/CD processes, and quality assurance frameworks.
• Ensure high system availability, performance, security, and scalability across cloud-based applications.
• Manage team capacity, sprint planning, resource allocation, and delivery commitments.
• Conduct performance reviews, career development planning, and coaching for team members.
• Participate in technical decision-making, code reviews, and architecture governance.
• Drive cloud adoption and modernization initiatives leveraging AWS services.
• Monitor project risks and proactively address technical and operational challenges.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• 8+ years of software development experience with at least 3+ years in an engineering leadership or management role.
• Strong hands-on experience with: Golang, Java, ReactJs, AWS
• Experience designing and building microservices-based architectures.
• Strong understanding of distributed systems, APIs, event-driven architectures, and cloud-native development.
• Experience with Agile/Scrum methodologies and modern engineering practices.
• Proven ability to lead multiple engineering initiatives simultaneously.
• Excellent stakeholder management, communication, and leadership skills.

EA Registration No: R21101138

"Sanderson-iKas" is the brand name for iKas International (Asia) Pte Ltd, a company incorporated in Singapore under Company UEN No.: 200914065E with EA license number 16S8086.

Website: www.sanderson-ikas.sg

about company

My client is a well-known financial service provider in Singapore.

Salary + benefits attractive! 3 rounds f2f interview to offer stage. Hybrid working, 2 days WFH.

about job (please reach out for more details)

● Reports to Head of Software Engineering within a tech department of over 100 people.

● Manage a diverse team of 40 engineers, overseeing 10 locally and 30 across regional hubs in Chengdu and Manila.

● 70% on leadership and stakeholder management, 30% hands-on code review, architect design, mentor junior

● Act as a key collaborator with other IT functions to align technical strategies with broader business objective

skills and requirement

● Min 10 years in Full Stack development with min 5 years in team leadership

● Deep proficiency in Java and JavaScript (React/Angular) for end-to-end application management

● Strong experience with Azure and modern DevOps tools

● Forward-thinking professional with an "AI-first" mentality

● Strong stakeholder management skills

● Mandarin speaking required as you need to liaise with Chinese counterparts who can only speak and write in Mandarin

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

2 years direct contract role with the company (high potential to become permanent employee after the 2 years mark). However, benefits are exactly the same as a permanent employee, no difference. 

Flexible hybrid working arrangement. 

about job (multiple headcounts) (please reach out for more details)

● Hire, Lead and Mentor a team of software engineering managers, fostering a culture of technical excellence, collaboration, and continuous improvement

● Partner with Product and UX heads to define long-term technical roadmaps and product visions for a diverse portfolio.

● Drive the engineering strategy, setting high standards for technical excellence and operational impact.

● Establish best practices and modern tooling to maximize the effectiveness and culture of the engineering organization.

● Navigate complex technical challenges, including high-availability systems, rigorous security standards, and legacy integration.

skills and requirement

● Min 10 years of experience leading a team of developers 

● Open to any modern tech stack in backend and frontend. Backend example: Java, Python, Golang, NodeJS. Frontend example: ReactJS, TypeScript, NextJS

● Experience working in tech product based companies are preferred. 

● Experience in implementing good engineering practices. Strong in system design, product mindset, 0 to 1, and stakeholder management

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

SDLC & RUNTIME

The SDLC and Runtime (SDLCR) team builds and manages the firm’s mission critical platforms for job scheduling, compute-as-a-service, file transfer, and the firmwide software development lifecycle (e.g., software distribution, automated testing, CI/CD). These platforms empower the firm’s expansive set of global developers to deliver services, products, and platforms for internal and external customers. 

In this role, you will work on multi-year initiatives to build out our strategic, highly scalable, and resilient SDLC platform, improving productivity and developer experience for our engineers across the firm.

JAVA CI/CD DEVELOPER

You will be part of Java-Slang Integration (JSI), a global team of Java/polyglot developers that design, develop and deploy the runtime of a proprietary build pipeline. This pipeline is used for the build, test and deployment at scale of some of the firms most business critical applications. The platform and the surrounding tool chain that form the JSI ecosystem allow the production of binaries that interop our proprietary front office language, SLANG, with the JVM ecosystem. At the same time, the underlying distribution mechanisms enable the simultaneous release of changes on a global scale.

Containing tens of millions of code and with hundreds of releases to production a day, JSI is leveraged by hundreds of software engineers daily to build products with a focus on Global Banking & Markets and Asset & Wealth Management. Your work will allow our engineers to develop products with reduced time to market, higher reliability and have material impact on our engineer productivity.

HOW YOU WILL FULFILL YOUR POTENTIAL

• Be part of the core team to drive strategic uplift of core SDLC platforms to increase throughput, latency, scalability and resiliency
• Build strong relationships with other high caliber engineers and enjoy collaboration and open to adopting new ideas

SKILLS AND EXPERIENCE WE ARE LOOKING FOR

• At least 5 years of working experience of which at least 3 hands-on Java development experience
• Strong problem solving / analytical skills
• Excellent communication, influencing, relationship building skills and comfortable managing multiple stakeholders, driving consensus and influencing outcomes
• Passionate about the software development process and facilitating high frequency / high quality change across a vibrant and diverse user community

PREFERRED QUALIFICATIONS

• Experience in commercial / open source build systems (Maven / Ant / Gradle / Bazel) and knowledge in distributed and centralized software change management systems
• Experience in architecting horizontally scalable systems with knowledge of elastic compute and distributed systems patterns
• Experience of DevOps, SRE, infrastructure (storage / networks / etc.)

 ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

2 years direct contract role with the company (high potential to become permanent employee after the 2 years mark). However, benefits are exactly the same as a permanent employee, no difference. 

Flexible hybrid working arrangement. 

about job (multiple headcounts) (please reach out for more details)

● Hire, Lead and Mentor a team of software engineering managers, fostering a culture of technical excellence, collaboration, and continuous improvement

● Partner with Product and UX heads to define long-term technical roadmaps and product visions for a diverse portfolio.

● Drive the engineering strategy, setting high standards for technical excellence and operational impact.

● Establish best practices and modern tooling to maximize the effectiveness and culture of the engineering organization.

● Navigate complex technical challenges, including high-availability systems, rigorous security standards, and legacy integration.

skills and requirement

● Min 10 years of experience leading a team of developers 

● Open to any modern tech stack in backend and frontend. Backend example: Java, Python, Golang, NodeJS. Frontend example: ReactJS, TypeScript, NextJS

● Experience working in tech product based companies are preferred. 

● Experience in implementing good engineering practices. Strong in system design, product mindset, 0 to 1, and stakeholder management

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

Job Responsibilities

Strategic Leadership & Vision

• Serve as the senior engineering authority reporting to the Executive Director, providing clear, forward‑looking advice on engineering risks, investments, and operational strategy.
• Define and execute a long‑term engineering vision aligned with the Integrated Resort’s business objectives, guest experience, and regulatory obligations.
• Foster a culture of innovation, continuous improvement, and out‑of‑the‑box thinking within the engineering organization.
• Lead by example with a visible, hands‑on leadership style while maintaining executive‑level governance and direction.

Operational Reliability & Problem Solving

• Ensure safe, reliable, and uninterrupted operation of all engineering systems, including:
  o   HVAC and ventilation systems
  o   CCMS/BMS and integrated building controls
  o   Electrical distribution, generators, UPS, and critical power systems
  o   Fire detection, suppression, smoke control, and life safety systems
  o   Lifts, and escalators
  o   Plumbing, drainage, sewage, pumping, and water systems
• Champion a root cause analysis (RCA) culture to eliminate recurring failures and systemic weaknesses.
• Provide direct leadership during major engineering incidents, system failures, commissioning activities, and recovery efforts.
• Ensure effective use of CCMS for alarm management, trending, fault diagnostics, and system optimization.

Asset Management & Lifecycle Planning

• Own the Integrated Resort’s engineering asset management framework, including asset registers, criticality assessments, and lifecycle planning.
• Develop and maintain 3–5 year asset renewal and replacement strategies, aligned with operational risk, compliance, and business priorities.
• Optimize asset performance and total cost of ownership through condition‑based maintenance, standardization, and technology enablement.
• Ensure accuracy and completeness of all engineering documentation, including single‑line diagrams, schematics, O&M manuals, sequences of operation, and as‑built records.

OPEX & CAPEX Management

• Lead preparation and management of the Engineering OPEX budget, covering maintenance contracts, utilities, consumables, and outsourced services.
• Develop, justify, and deliver Engineering CAPEX programs, including asset renewals, major upgrades, compliance works, and reliability or efficiency improvements.
• Present clear, data‑driven business cases to the Executive Director, including risk mitigation, lifecycle cost, and return‑on‑investment analysis.
• Maintain strong financial discipline while safeguarding operational reliability and safety.

Vendor & Outsourced Services Management

• Oversee a large and diverse portfolio of outsourced service providers and specialist vendors.
• Establish and enforce strong governance frameworks, including:
  o   Clearly defined scopes of work and SLAs
  o   Performance KPIs and regular vendor reviews
  o   Safety compliance and method statement approvals
  o   Quality, responsiveness, and value delivery
• Build effective partnerships with OEMs and key contractors while maintaining commercial rigor and accountability.   

Design Review, Technical Governance & Projects

• Lead engineering design reviews for new works, refurbishments, system upgrades, and asset replacements.
• Ensure all designs comply with Singapore codes of practice, statutory authority requirements, and fire safety regulations.
• Drive designs that prioritise operational resilience, maintainability, energy efficiency, and lifecycle optimisation.
• Oversee commissioning, integrated systems testing, and operational readiness prior to handover in live environments.

Compliance, Safety & Regulatory Management

• Ensure full compliance with Singapore regulatory authorities and applicable codes (including BCA, SCDF, EMA, PUB, and MOM).
• Own all statutory inspections, testing regimes, certifications, and regulatory audits for engineering systems.
• Champion best‑in‑class safety practices across electrical, mechanical, fire life safety, and contractor works.
• Ensure timely and sustainable closure of all inspection findings and regulatory observations.

People Leadership & Organisational Development

• Lead, mentor, and develop a large multidisciplinary engineering team.
• Establish clear organisational structures, leadership depth, succession planning, and skills development pathways.
• Build a high‑performance culture grounded in accountability, technical excellence, and collaboration.
• Work closely with Operations, Security, HSE, IT, Projects, and Commercial teams to deliver integrated outcomes.

Job Requirements

Education & Certification

• Degree in Mechanical, Electrical, Building Services Engineering, or equivalent.

Experience

• 15+ years of senior engineering leadership experience in large‑scale, complex environments such as integrated resorts, casinos, hospitality, or mixed‑use developments.
• Strong hands‑on technical expertise across HVAC, electrical, fire & life safety, CCMS/BMS, and vertical transportation systems.
• Proven experience leading large engineering teams and managing extensive outsourced service models.
• In‑depth working knowledge of Singapore codes of practice and statutory compliance requirements.
• Demonstrated success in asset lifecycle management and OPEX/CAPEX governance.

Other Prerequisites

Leadership Competencies

• Visionary and strategic thinker with the ability to anticipate future operational risks and opportunities.
• Out‑of‑the‑box thinker who challenges traditional engineering approaches.
• Decisive, structured, and calm under pressure, with a strong problem‑solving mindset.
• Hands‑on, credible, and respected at all levels of the organisation.
• Able to communicate technical and operational risks clearly to executive leadership.

about company

My client is a well-known financial service provider in Singapore.

Salary + benefits attractive! 3 rounds f2f interview to offer stage. Hybrid working, 2 days WFH.

about job (please reach out for more details)

● Reports to Head of Software Engineering within a tech department of over 100 people.

● Manage a diverse team of 40 engineers, overseeing 10 locally and 30 across regional hubs in Chengdu and Manila.

● 70% on leadership and stakeholder management, 30% hands-on code review, architect design, mentor junior

● Act as a key collaborator with other IT functions to align technical strategies with broader business objective

skills and requirement

● Min 10 years in Full Stack development with min 5 years in team leadership

● Deep proficiency in Java and JavaScript (React/Angular) for end-to-end application management

● Strong experience with Azure and modern DevOps tools

● Forward-thinking professional with an "AI-first" mentality

● Strong stakeholder management skills

● Mandarin speaking required as you need to liaise with Chinese counterparts who can only speak and write in Mandarin

To apply online please use the 'apply' function, alternatively you may contact Stella at 96554170 (EA: 94C3609 /R1875382)

Situated in the heart of Singapore's Central Business District, Rakuten Asia Pte. Ltd. is Rakuten's Asia Regional headquarters. Established in August 2012 as part of Rakuten's global expansion strategy, Rakuten Asia comprises various businesses that provide essential value-added services to Rakuten's global ecosystem. Through advertisement product development, product strategy, and data management, among others, Rakuten Asia is strengthening Rakuten Group's core competencies to take the lead in an increasingly digitalized world.

Department Overview

The Data Lake house Section provides the foundation for Rakuten Digital Twin strategy enabling seamless, real-time understanding of customers across services. 
We manage one of the world's largest first-party datasets, developing and operating products like Customer DNA (CDNA) and Deep CDNA, which unify data across business units. 

As a Senior Data Engineer, you will play a key role in the architecture, development, and optimization of Rakuten's core data platform. 
You will lead engineering efforts to design scalable, reliable, and secure data pipelines and collaborate closely with global teams in Japan and India.

Responsibilities:

- Lead the design, development, and operation of scalable and reliable data pipelines supporting Customer DNA and related data products.
   
- Drive best practices in data engineering, including performance tuning, automation, and observability.
   
- Collaborate with product managers, data scientists, and analytics engineers to deliver end-to-end solutions.
   
- Oversee data ingestion, transformation, and quality control processes to ensure trusted data availability.
   
- Design and optimize data architectures leveraging Google Cloud Platform(GCP) services (e.g., Big Query, Dataflow, Pub/Sub, Cloud Storage).
   
- Mentor team members, promote engineering excellence, and contribute to a culture of learning and collaboration.
   
- Ensure compliance with data governance, security, and privacy standards across systems.
   
Qualifications:

- 5+ years of experience building and operating big data platforms for analytics or business operations.
   
- 2+ years of experience managing large-scale, real-time or unstructured datasystems in distributed environments.
   
- Proficiency in Python programming and related libraries (e.g., Pandas, NumPy, PySpark, Pydantic).
   
- Strong hands-on experience with Google Cloud Platform (GCP), including Big Query, Cloud Storage, Cloud Functions, Dataflow, Pub/Sub, and IAM.
   
- Experience with Infrastructure-as-Code (IaC), CI/CD pipelines, and cloud resource management.
   
- Experience with **containerization (Docker)** and **orchestration (Kubernetes)** in cloud-native environments.
   
- Strong understanding of **SQL and NoSQL** data stores, with experience inlarge-scale distributed systems.
   
- Proven ability to identify and solve complex data engineering challenges, ensuring system reliability and scalability.
   
- Excellent communication and leadership skills, with experience guidingcross-functional or remote teams.
   
- Business-level proficiency in English.

Good to have:

- Experience designing Python-based data engineering frameworks ensuring scalability, performance, and maintainability.
   
- Experience developing and maintaining reusable Python packages and libraries for data pipelines.
   
- Familiarity with API-based data integration and micro service architectures.
   
- Experience implementing cloud-native data solutions to optimize cost and performance.
   
- Proven ability to balance hands-on technical contribution with strategic leadership.
   
- Ability to mentor engineers and promote best practices in software craftsmanship.
   
Rakuten is an equal opportunities employer and welcomes applications regardless of sex, marital status, ethnic origin, sexual orientation, religious belief, or age.
   

The Opportunity

Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm.

At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform.

This is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed.

Role Summary

As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose.  Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated.

The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases.

Key Responsibilities

Pipeline Engineering

• Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
• Where needed, build reusable tooling to improve delivery, consistency and operational support.
• Ensure data pipelines are production-ready, well tested and operationally supportable.

Data Modelling and Curation

• Develop raw, refined and curated datasets that support analytics, reporting and AI use cases.
• Apply sound data modelling principles to represent business entities, relationships and historical change accurately.
• Work with consumers to shape data products that are usable, well documented and aligned to business needs.

Data Quality and Reconciliation

• Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.
• Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise.
• Contribute to clear standards for testing, monitoring and issue resolution.
• Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day-to-day delivery.

Delivery and Partnership

• Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations.
• Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling.
• For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers.

Skills and Experience

Required

• Min. 7 years of experience in a similar role.
• Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.
• Strong hands-on programming experience in Python or Java.
• Good working knowledge of SQL, including troubleshooting, optimization and data analysis.
• Ability to learn new tools, internal platforms and delivery workflows quickly.
• Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.

Data Engineering Capability

• Understanding of temporal data modelling, including the handling of historical state and change over time.
• Knowledge of schema design, schema evolution and data compatibility considerations.
• Understanding of partitioning, clustering and other techniques used to improve data performance at scale.
• Ability to make sensible design choices across normalized and denormalized models, and between natural and surrogate keys.
• Practical approach to data quality, reconciliation and root-cause analysis.
• Experience building or supporting production data pipelines in a collaborative engineering environment.
• Experience working with distributed data processing frameworks such as Apache Spark.
• Working knowledge of common data formats such as JSON, Avro and Parquet.
• Stronger ownership of technical design across multiple datasets or pipeline domains.
• Experience guiding implementation standards, code quality and engineering practices within a team.
• Ability to lead delivery for a workstream, manage dependencies and support less experienced engineers.

Technology Environment

The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies.

Examples of technologies in scope include:

• Data processing and logic: ANSI SQL, Apache Spark, Kafka
• Data formats: JSON, Avro, Parquet
• Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ
• Engineering and deployment: CI/CD tooling, containerized or Kubernetes-based deployment approaches where relevant

You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important.

What We Are Looking For

We are looking for engineers who can deliver well-structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast-paced environment where data platforms support important business outcomes.

Stronger candidates will typically demonstrate:

• sound judgement in technical trade-offs
• attention to detail in data correctness and testing
• a clear and structured approach to problem solving
• willingness to work closely with stakeholders and partner teams
• an interest in developing long-term expertise within the firm

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Why Join

Be a key driver of innovation within OCBC’s risk management framework. As a Data Engineer in Group Audit, you’ll be at the forefront of automating and enhancing our audit processes through cutting-edge data solutions. You’ll gain invaluable experience in data pipeline development, automation tools, and data visualization, contributing directly to the bank’s resilience and the integrity of our operations.

How you succeed

To excel in this role, combine a passion for data with a problem-solving mindset. You’ll need to understand existing processes, identify opportunities for automation, and build effective solutions. Strong collaboration skills and a meticulous attention to detail will be crucial. Success means delivering impactful results, embracing new technologies, and constantly seeking ways to improve our audit capabilities.

What you do

Your responsibilities will include:

• Understanding existing audit workflows and identifying opportunities for simplification and automation.
• Developing operational workflow diagrams to facilitate the design of automation solutions.
• Building and automating data pipelines to support audit analytics.
• Utilizing automation tools like Power Automate, UiPath, or Python to streamline processes.
• Maintaining and enhancing existing Robotic Process Automation (RPA) tools.
• Developing visualization dashboards using Power BI to present audit insights.

Who you work with

You will collaborate with other team members in Audit Analytics, based in various offices, and with other Group Audit teams to understand their analytics requirements, assess the current pain-points and develop and deploy analytics solutions to address these pain-points. This may include redesigning current processes, streamlining the processes using the appropriate tool(s), developing solutions, conducting user acceptance testing, managing rollout, and evaluating the effectiveness of the process automation.

Who you are

• A recent graduate from a Polytechnic or University with a diploma or degree in the relevant field.
• Possess an undying curiosity and passion about helping our internal stakeholders to automate their workflows
• Demonstrate proficiency in RPA tools like Power Automate / UiPath / Python and visualization tools such as Power BI / QlikView or QlikSense /Tableau.
• Detail-oriented and possess a strong analytical mindset.
• A collaborative team player with a proactive approach to problem-solving.

Learning Objectives
This programme will provide you with:

• Hands-on experience in data pipeline development and automation.
• Proficiency in using industry-leading automation and visualization tools.
• Exposure to the full lifecycle of audit analytics projects, from ideation to implementation.
• Opportunities to collaborate with experienced auditors and data professionals.
• A deep understanding of risk management and governance within a large financial institution.

Who we are

As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires.

Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future-ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future.

We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future-ready career. Your Opportunity Starts Here.

What we offer

Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Equal opportunity. Fair employment. Selection based on ability and fit with our culture and values. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.

Responsibilities:

• Develop and maintain UI automation frameworks (Selenium/Playwright or similar).
• Perform API testing and validation using tools like Postman.
• Integrate and execute automation in CI/CD pipelines (Jenkins, Azure DevOps, GitLab, etc.).
• Validate data integrity using SQL.
• Support regression testing and release readiness.
• Collaborate with developers and product teams in an Agile setup.

Required Skills:

• Experience in test automation (UI and/or API).
• Hands-on with tools like Selenium, Playwright, Postman, or similar.
• Working knowledge of SQL for backend/data validation.
• Exposure to CI/CD pipelines.
• Experience working in or willingness to adapt to Agile environments.
• Strong communication and collaboration skills.

The Opportunity

Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm.

At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform.

This is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed.

Role Summary

As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose.  Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated.

The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases.

Key Responsibilities

Pipeline Engineering

• Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
• Where needed, build reusable tooling to improve delivery, consistency and operational support.
• Ensure data pipelines are production-ready, well tested and operationally supportable.

Data Modelling and Curation

• Develop raw, refined and curated datasets that support analytics, reporting and AI use cases.
• Apply sound data modelling principles to represent business entities, relationships and historical change accurately.
• Work with consumers to shape data products that are usable, well documented and aligned to business needs.

Data Quality and Reconciliation

• Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.
• Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise.
• Contribute to clear standards for testing, monitoring and issue resolution.
• Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day-to-day delivery.

Delivery and Partnership

• Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations.
• Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling.
• For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers.

Skills and Experience

Required

• Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.
• Strong hands-on programming experience in Python or Java.
• Good working knowledge of SQL, including troubleshooting, optimization and data analysis.
• Ability to learn new tools, internal platforms and delivery workflows quickly.
• Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.

Data Engineering Capability

• Understanding of temporal data modelling, including the handling of historical state and change over time.
• Knowledge of schema design, schema evolution and data compatibility considerations.
• Understanding of partitioning, clustering and other techniques used to improve data performance at scale.
• Ability to make sensible design choices across normalized and denormalized models, and between natural and surrogate keys.
• Practical approach to data quality, reconciliation and root-cause analysis.
• Experience building or supporting production data pipelines in a collaborative engineering environment.
• Experience working with distributed data processing frameworks such as Apache Spark.
• Working knowledge of common data formats such as JSON, Avro and Parquet.

Technology Environment

The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies.

Examples of technologies in scope include:

• Data processing and logic: ANSI SQL, Apache Spark, Kafka
• Data formats: JSON, Avro, Parquet
• Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ
• Engineering and deployment: CI/CD tooling, containerized or Kubernetes-based deployment approaches where relevant

You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important.

What We Are Looking For
We are looking for engineers who can deliver well-structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast-paced environment where data platforms support important business outcomes. It will also suit candidates who are willing to contribute to shared tooling or platform components that make the wider engineering environment more effective.

Stronger candidates will typically demonstrate:

• sound judgement in technical trade-offs
• attention to detail in data correctness and testing
• a clear and structured approach to problem solving
• willingness to work closely with stakeholders and partner teams
• an ability to identify when delivery problems would be better solved through reusable tooling or platform improvements
• an interest in developing long-term expertise within the firm

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

The Opportunity

Join a team building the data foundations that support the firm’s AI and analytics capabilities. This role sits within the engineering effort to develop a modern Lakehouse and AI data platform that enables reliable, well-governed and high-performing data use across the firm.

At Goldman Sachs, engineering teams are positioned at the centre of the business, building scalable systems, solving complex technical problems and turning data into action. In data engineering roles, the emphasis is on designing, building and maintaining large-scale data platforms, delivering production pipelines, improving reliability and quality, and partnering closely with users of the platform.

This is a delivery-focused role for engineers who want to build robust data assets in production, work with modern data technologies, and grow over time within the firm. You will contribute to the data models, pipelines and platform capabilities that underpin analytics, operational decision-making and emerging AI use cases, and may also help extend platform tooling where additional functionality is needed.

Role Summary

As a Data Engineer in the Lakehouse and AI Data Platform team, you will design, build, test and support data pipelines and curated datasets on the firm’s modern data platform. You will work across ingestion, transformation, modelling, optimisation and data quality, helping to deliver data products that are reliable, scalable and fit for purpose.  Where there are gaps in platform functionality, you may also contribute to shared tooling or framework components that improve how the platform is used and operated.

The role is suited to engineers who are comfortable writing code, working with SQL and distributed data processing, and solving practical delivery problems in a team environment. More experienced candidates may also contribute to technical design, platform standards and the shaping of delivery approaches across a wider set of use cases.

Key Responsibilities

Pipeline Engineering

• Build, enhance and support batch and streaming data pipelines on the Lakehouse and AI data platform.
• Refactor or modernise existing data flows where needed to improve reliability, performance and maintainability.
• Where needed, build reusable tooling to improve delivery, consistency and operational support.
• Ensure data pipelines are production-ready, well tested and operationally supportable.

Data Modelling and Curation

• Develop raw, refined and curated datasets that support analytics, reporting and AI use cases.
• Apply sound data modelling principles to represent business entities, relationships and historical change accurately.
• Work with consumers to shape data products that are usable, well documented and aligned to business needs.

Data Quality and Reconciliation

• Implement controls to validate completeness, accuracy and consistency of data across pipelines and datasets.
• Use reconciliation approaches to build confidence in production outputs and investigate breaks where they arise.
• Contribute to clear standards for testing, monitoring and issue resolution.
• Contribute to practical improvements in testing, monitoring or reconciliation tooling where these strengthen platform reliability and day-to-day delivery.

Delivery and Partnership

• Work closely with engineers, platform teams and data consumers to deliver agreed outcomes to time and quality expectations.
• Communicate clearly on progress, risks, dependencies and design choices, including where delivery would benefit from improvements to shared platform tooling.
• For more senior candidates, take a broader role in technical leadership, task breakdown and support for junior engineers.

Skills and Experience

Required

• Bachelor’s or master’s degree in a relevant discipline, or equivalent practical experience, with evidence of strong quantitative skills or data engineering expertise.
• Strong hands-on programming experience in Python or Java.
• Good working knowledge of SQL, including troubleshooting, optimization and data analysis.
• Ability to learn new tools, internal platforms and delivery workflows quickly.
• Familiarity with software engineering fundamentals, including version control, testing, release discipline and CI/CD practices.

Data Engineering Capability

• Understanding of temporal data modelling, including the handling of historical state and change over time.
• Knowledge of schema design, schema evolution and data compatibility considerations.
• Understanding of partitioning, clustering and other techniques used to improve data performance at scale.
• Ability to make sensible design choices across normalized and denormalized models, and between natural and surrogate keys.
• Practical approach to data quality, reconciliation and root-cause analysis.
• Experience building or supporting production data pipelines in a collaborative engineering environment.
• Experience working with distributed data processing frameworks such as Apache Spark.
• Working knowledge of common data formats such as JSON, Avro and Parquet.

Technology Environment

The role will involve working with a modern and evolving data stack. Candidates are not expected to have deep expertise in every tool from day one but should bring relevant experience and the ability to work across comparable technologies.

Examples of technologies in scope include:

• Data processing and logic: ANSI SQL, Apache Spark, Kafka
• Data formats: JSON, Avro, Parquet
• Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ
• Engineering and deployment: CI/CD tooling, containerized or Kubernetes-based deployment approaches where relevant

You will also work with internal data management and platform tooling, so a practical and adaptable engineering mindset is important.

What We Are Looking For
We are looking for engineers who can deliver well-structured, reliable solutions in production and who take ownership of the quality of what they build. The role suits candidates who are technically strong, pragmatic and comfortable working in a fast-paced environment where data platforms support important business outcomes. It will also suit candidates who are willing to contribute to shared tooling or platform components that make the wider engineering environment more effective.

Stronger candidates will typically demonstrate:

• sound judgement in technical trade-offs
• attention to detail in data correctness and testing
• a clear and structured approach to problem solving
• willingness to work closely with stakeholders and partner teams
• an ability to identify when delivery problems would be better solved through reusable tooling or platform improvements
• an interest in developing long-term expertise within the firm

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

The Subsea Engineering team, sitting within the GSF team, consists of subject matter experts spanning all areas of subsea network engineering and owns the planning, contracting, build and operation of the AWS subsea backbone globally. We are looking for a Technical Business Developer with proven experience in the subsea telecoms space, strong sense of ownership and passion for defining and driving large cross-functional programs. The candidate should be self-driven, have the ability to learn quickly and influence decision-making across organizations. In this position, you will work closely with various Amazon business units to gather, refine and drive program goals. You will have the opportunity to implement new processes and procedures driving continuous improvement while interacting with a broad range of stakeholders across Amazon.

At Amazon, we set a high bar, so expect to be challenged on the scope and scale of the problems we tackle. We are moving fast, using the latest technologies, and transforming the way we deliver global connectivity.

Key job responsibilities

In this position, the candidate will work closely with a wide variety of internal and external stakeholders to develop and deliver submarine cable projects across the globe. The candidate should be able to represent and lead for Amazon in deployment and operational meetings, coordinate complex projects spanning several geographies and deliver the project to our high standards. You will have deep knowledge of how to construct subsea amplified fibre-based networks specifically including experience in route survey, route engineering, and marine operations.

Specific knowledge of Submarine Line Termination Equipment specification and deployment is also desirable but not essential for this role.

A day in the life

The Subsea Engineering team is responsible for all aspects of submarine network deployment, operation, upgrades and management within AWS. We own the technology roadmap and standards for submarine cable, optical fiber, installation methods, procurement of the optical equipment, RSPC and associated operational models and security postures. We define the contractual framework for all required elements adding capacity that supports the AWS Backbone Network for our customers. The team works closely with the Regional Business Development teams to deliver submarine capacity to a global standard, enabling economic and scalable consistency for all our customers.

Our projects are multi year in duration, requiring careful planning, disciplined execution and with a growing program, constant invention and simplification. We work with internal and external stakeholders and partners, driving projects to meet our goals and timelines. We ensure that the delivery of the projects meet our high standards and specifications. When faced with an issue or delay, we invent to solve for the roadblock alerting our customers along the way. Communications are crisp, timely and always advise a path forward. We learn from each other, ensuring global consistency.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

Basic Qualifications

- Bachelor's degree or above in engineering or equivalent, or experience from a technical internship
- 5+ years of technical engineering experience
- Direct knowledge and experience in the subsea telecoms cable industry

Preferred Qualifications

- Experience communicating clearly and concisely with leadership, stakeholders, and cross-functional teams
- Experience that includes strong analytical skills, attention to detail, and effective communication abilities
- Marine survey, cable route engineering and cable installation experience

What We Do

At Goldman Sachs, our Engineers don’t just make things – we make things possible.  Change the world by connecting people and capital with ideas.  Solve the most challenging and pressing engineering problems for our clients.  Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action.  Create new businesses, transform finance, and explore a world of opportunity at the speed of markets. Goldman Sachs Engineers are innovators and problem-solvers, building solutions in Artificial Intelligence, risk management, big data, mobile and more.

Cloud Platform

As part of Core Engineering at Goldman Sachs, the Cloud Platform team is responsible for enabling the use of public cloud services across the firm. You will be working as part of multi-disciplinary team responsible for researching, architecting and building a cutting-edge platform that enable Goldman Sachs teams to deploy and manage services in public cloud safely and securely. We are at an early stage of modernizing our services around cloud native principles, and you will be directly contributing to platform that programmatically enforces safety, security and compliance of services and enables engineers to innovate faster.

The organization is seeking highly collaborative, creative, and intellectually curious engineers who are passionate about developing and implementing cutting-edge cloud computing solutions. The ideal candidate will thrive in a DevOps culture and contribute to customer-centric product development. They will work closely with cross-functional teams, and will be creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment.

Responsibilities And Qualifications:
As part of our global Cloud Development team you will work on various components as a Software Engineer. Your role includes specification, development, testing and releasing of new features. The team owns the platforms throughout the lifecycle. You are expected to contribute to the vision, understand our customers’ needs, business goals, product roadmap and contribute to building an engineering culture within the team. We expect the successful candidate to deliver high quality software and to be passionate about software engineering. You must have a proficient understanding of software development, security and the mechanisms to design safe, resilient and highly-available cloud native services.

Key Responsibilities:

• Design, develop and manage services in public cloud.
• Develop safe, resilient and highly-available distributed services.
• Write technical specifications, work with several teams and manage technical dependencies and drive design meetings with various stakeholders for consensus.
• Collaborate with business software engineering teams on solving business problems via the architecture and engineering of cloud native applications.
• Engage with the larger Core Engineering organization to create and deliver usable, safe cloud native engineering patterns with associated guardrails and operational practices.
• Create, communicate, and promote best practices for public cloud native development across the firm.
• Partner with cloud providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure to shape the future of public cloud services for finance industry.

Basic Qualifications:

• Strong technical ability, willingness to learn and evolve your skills with advances in technology.
• Bachelors' or Masters Degree in Computer Science or related field with at least 5 years of relevant professional experience.
• Proficiency in designing, developing, and testing software in one or more of Java, Type Script, Python; open to using and learning multiple languages.
• Expertise with Linux, containers, system security and automation with scripting languages.
• Experience architecting, designing, administering, or developing applications in Amazon Web Services.
• Ability to communicate technical concepts effectively, both written and orally, as well as the interpersonal skills required to collaborate effectively with colleagues across diverse technology teams.
• Ability to reason about performance, security, and process interactions in complex distributed systems.
• Ability to understand and effectively debug both new and existing solutions.
• Ability to independently deliver on Product Roadmap, Operational Stability and Execution Strategy.

Preferred Qualifications:

• Bachelor or Advanced Degree in Computer Science or related field.
• 10+ years of work experience with Typescript, Java, Python and AWS.
• Knowledge and experience of software development lifecycle and infrastructure-as-code tooling, such as Cloud Formation, Terraform,  and AWS CDK.
• Experience with security, isolation and multi-tenant design of distributed cloud services.
• Familiarity with software artifact and container image lifecycle management and governance.
• Understanding of RESTful API design best practices and experience in developing them.
• Familiarity with cloud network architectures and the integration with hybrid cloud networking.
• Experience with Server-less platforms such as AWS Lambda, AWS Batch etc.

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

© The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Software Engineering Technical Leader develops software consistent with Cisco ‘Design Thinking Principles’ with a focus on simplification and UX (User Experience) at its core, using secure coding practices, ensuring user privacy, and following software development best practices. Partners with other teams including design and product management to create the right solution for the customers. Creates technical design documentation to be used by the team as well as contributing to user documentation to be used by end users. Debugs and addresses software issues during development and in production systems to support customers. Brings new ideas for product innovation and helps improve software development processes.

What You’ll Do:
• Recognized as an expert within Cisco.
• Proactively identifies and participates in the resolution of complex problems that impact the direction of the business.
• Develops and delivers innovative strategies that benefit customers and/or clients.
• Leads major business projects which impact a region or entire function.
• Contributes to the development of annual organizational objectives/priorities.
• Builds and maintains long-term relationships with key stakeholders to ensure products and services reflect the needs and direction of the business.
• Translates and influences the regional or functional strategic vision into a technical vision with clear engineering priorities, ensuring understanding and alignment across teams.
• May lead projects that span the business segment, function or region.
• May drive large features from technical design through completion.
• Leads the development and implementation of software development lifecycle and agile engineering strategies across applicable teams in anticipation of the changing software development environment.
• Influences technical direction and deliverables across the function.
• Recognizes and makes trade-offs with respect to the whole system and defines new product categories.
• Leads design choices within the context of all Cisco offerings.
• Drives product success through creating metrics and influencing product adoption and direction.
• Writes and sets the standard for functional clean code.
• Develops and drives utilization and support for processes for issue identification and sustainable response, proactive tooling, and continuous improvement for production systems.
• Industry or thought leader on scale, performance, or design patterns.
• May represent or present team outputs at external events.
• Communicates product or program priorities, deadlines, and shifts in requirements in the context of engineering priorities and user needs.
• Negotiates and drives trade-offs in timing, build, and specifications to meet the needs of users and cross-functional partners.
• Leads, mentors, and influences senior engineers.
• Improves knowledge sharing processes.

Minimum Qualifications:

• Bachelors + 12 years of related experience, or Masters + 8 years of related experience, or PhD + 5 years of related experience.

• Requires specialized depth and/or breadth of expertise in primary job family or field of specialization; has a wide-range of experiences and advanced technical acumen serving as an advisor to management.

• Deep domain expertise with strategic advisory skills, enabling effective guidance to leadership and alignment of initiatives with Cisco business priorities.

• Strong cross-functional leadership and execution capability, with the ability to translate complex business needs into clear plans, influence stakeholders, and deliver large-scale outcomes.

About the Company

The hiring entity is a major Singapore-based organization tasked with driving large-scale digital transformation and advancing the nation's technological capabilities. They offer a purpose-driven culture focused on professional mastery, continuous learning, and modern, flexible work environments.

About the Role

• Strategic Roadmapping: Define the long-term technical direction and engineering vision for enterprise cloud platforms.

• Incremental Delivery: Partner with cross-functional stakeholders to prioritize features and deploy scalable solutions.

• Platform Governance: Ensure the architectural integrity and performance of the organization’s primary CRM environment.

• Team Leadership: Mentor a team of engineers, fostering their growth through feedback and structured career development.

• Community Impact: Identify and launch high-impact projects that improve digital experiences for the local community.

• Cultural Development: Establish the best practices and toolsets necessary to maintain a robust and effective technical culture.

Skills and Expectations

• Educational Background: A Bachelor’s degree in Computer Science, Information Technology, Business Administration, or a related discipline.

• Professional Longevity: At least 10 years of experience in platform administration, architecture, and leading technical programs.

• Technical Deep-Dive: Comprehensive expertise in CRM suites, including sales, service, and marketing modules, alongside modern lightning-based frameworks.

• System Design: Proven capability in managing data architecture, complex system designs, and API-based integrations.

• Project Delivery: A strong background in both Agile and Waterfall methodologies; recognized project management certifications are a plus.

• Communication & Influence: Exceptional skills in talent development and the ability to influence key stakeholders at all levels.
  

  
  To apply online please use the 'apply' function, alternatively you may contact Evangeline.(EA: 94C3609/ R24124002)

SDLC ENGINEERING

Part of the Goldman Sachs’ Core Engineering group's function is to provide best in class language support and tooling for our engineering community to facilitate the building, testing and deployment of their products. We strive for our tooling to improve product quality, developer productivity and increase opportunities for collaboration. Our aim is to innovate and drive technology solutions that will impact the bottom line for the firm. By joining us, you will be part of a diverse global technical team focusing on solving critical business problems. You will be working at the heart of the developer experience, ensuring the code that is written by thousands of GS engineers is versioned securely, reviewed expertly, compiled quickly, tested comprehensively, and distributed widely.

WHAT YOU WILL BE WORKING ON

We are seeking a highly skilled and motivated engineer lead to join our team at Goldman Sachs. This role is focused on designing, deployment, and management of agentic AI systems to enhance the software development lifecycle. The ideal candidate will be responsible for creating solutions to manage and optimize the performance of autonomous AI software engineering agents, while also providing technical leadership, mentorship, and guidance to other engineers on the team. The successful candidate will work closely with cross-functional teams and foster a collaborative environment to ensure that the tools and services developed are seamlessly integrated into the existing development workflows, ultimately driving improvements in productivity across the organization. We look for creative collaborators who evolve, adapt to change and thrive in a fast-paced global environment

SKILLS AND EXPERIENCE WE ARE LOOKING FOR

• Minimum 10 years of industry experience as a programming, software engineering, or similar job roles.

• General knowledge of multiple languages, and in-depth strong programming skills of at least one of: Golang, Python, Java, C++.

• Strong software engineering fundamentals

• Familiarity with continuous integration, deployment pipelines, monitoring solutions

• Comfortable managing multiple stakeholders, driving consensus, and influencing outcomes, strong problem solving and analytical skills

• Proven experience in leading and mentoring engineering teams, including direct people management responsibilities such as performance reviews, career development, and fostering a collaborative team environment.

PREFERRED QUALIFICATIONS

• BSc / MSc in relevant field (Computer Science, Engineering or related field)

• Experience with AI and machine learning technologies.

• Experience with DevOps, SRE, infrastructure as code, Terraform, AWS

• General knowledge of Linux, Docker, Kubernetes

• Experience with all stages in the lifecycle of developing and running large distributed systems

• Knowledgeable about networking (TCP, IP, UDP, DNS, TLS, HTTP)

WHAT'S IN IT FOR YOU

• Work with advanced AI technologies to enhance coding efficiency, productivity and developer experience.

• Be part of a forward-thinking team that values continuous improvement and ensures high-quality results.

• Develop expertise in areas such as CI/CD, SDLC, containerization, GenAI, and cloud computing.

• Stay updated with the latest technological advancements and best practices by engaging with industry leaders and vendors.

• Tackle real engineering challenges, contribute to globally scalable platforms, supporting global operations and enhancing the developer experience

ABOUT GOLDMAN SACHS

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.

We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.

We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html

©The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.

Technical Engineering

Salary: $4500 - $6500

Job duties:

1. Support the sales team by identifying suitable products to meet customers’ requirements

• Build strong relationships with customers as a trusted advisor to facilitate engineering solutions by working closely with them and, providing pre-sales and post-sales support.
• Work with sales teams to understand customer requirements, deliver solutions and manage customer expectations with the objective of closing sales.
• Act as a consultant to the sales teams and clients by problem solving and make recommendations during the sales process.

2. Provide engineering solutions to resolve customers’ engineering challenges through troubleshooting

• Propose workable solutions to help solve customers’ problems.
• Participate in technical discussions with the client’s engineering or maintenance teams and address any process or engineering concerns.
• Able to think critically and suggest improvements that might lead to cost savings or other client benefits.
• Work with Technical Service Unit to implement engineering solutions for customers.
• Maintain quality service by establishing and enforcing the company’s service standards.

3. Deliver presentation or in-depth training of products/solutions to customers.

• Prepare and deliver product demonstrations and sales presentations, highlighting key benefits tailored to customers and events.
• Conduct technical and/or product training for internal and external customers.
• Engage in developing company’s marketing resources when required.

4. Contribute effectively to the project team

• Stay updated on industry trends, market developments, and competitors to identify product improvements or new products.
• Communicate and negotiate with Principals/suppliers to bring the most cost-effective benefits and solutions to customers.
• Act as an intermediary between customers and suppliers to clarify and resolve any issues relating to technical requirements and specifications.
• Source and expand product range from reliable local/overseas suppliers.

5. Managing Projects

• Develop technical solutions in engineering projects from inception to completion.
• Support the project teams by engaging in technical discussions with customers and suppliers to ensure timely and cost-effective delivery.
• Propose alternative solutions when unexpected challenges arise during project execution.
• Ensure all information related to the project is properly documented and stored in company database.

6. Building and Maintaining Good Relationships with Principles

• Work with our principles to obtain quotations and technical support to address customers’ needs.
• Organise and coordinate visit schedules with the Sales team for the joint visit to customers
• Provide clear and concise communication with our principle

Requirements:

• Proficient in steam related products specifically in steam traps, boiler and thermal audit.

Location: Tagore Industrial Ave

Working hours: 8.30am to 5.30pm

For more information or interested candidates, please reach out via WhatsApp to 96303439 or gwen@lightverse.com.sg.

EA License No. : 22C0937

EA Personnel No. : R23118390 (Gwen Lim)