Total 190 Information Technology job vacancies

About ST Engineering

ST Engineering is a global technology, defence, and engineering group with offices across Asia, Europe, the Middle East, and the U.S., serving customers in more than 100 countries. The Group uses technology and innovation to solve real-world problems and improve lives through its diverse portfolio of businesses across the aerospace, smart city, defence, and public security segments. Headquartered in Singapore, ST Engineering ranks among the largest companies listed on the Singapore Exchange.

Our history spans more than 50 years, and our strategy is underpinned by our core values – Integrity, Value Creation, Courage, Commitment and Compassion. These 5 core values guide every aspect of our business and are embedded in our ST Engineering culture – from the people we hire, to working with each other, to our partners and customers.

About our Line of Business – Cloud and Data Centre Solutions 

ST Engineering Cloud and Data Centre Solutions Pte Ltd provides all aspects of cloud management, services, and solutions, from initial setup and migration to ongoing operations and optimization. Services include engineering works to design, build and provide facility management service for mission critical environments such data centers, disaster recovery, and business continuity sites.

Together, We Can Make A Significant Impact

You will be working side by side with the network core team in ensuring network availability and serviceability for a secure, resilient and stable distributed environment. Your primary responsibility is to support and maintain the network access layer for our enterprise networks. You will manage access to the wired and wireless networks; ensuring last-mile connectivity for multiple locations. In addition, you will also manage the network communications rooms at these locations; providing cabling interconnect services for structured cabling, and liaising with Facilities Management to ensure uninterrupted power and cooling delivery to the rooms. You may be called upon to support certain network functions in the Data Centre.

Be Part of Our Success

Manage wired and wireless network access infrastructure & support Data Centre network operations

• Administer and support network infrastructure including network routers, switches, wireless access points, WLAN controllers, AAA servers and encryptors
• Respond and diagnose tickets related to network access and performance issues
• Service and close support tickets to relocate or add client endpoints' wired network access
• Service and close support tickets to resolve client endpoints' wireless access
• Troubleshoot, triage and resolve client endpoints' 802.1X authentication/authorization access issues and escalate, if necessary, L2 and L3 issues
• Monitor availability of network access and provide immediate response and/or investigation to system alerts
• Troubleshoot and assist with root cause analysis of incidents replacing failed network components
• Support and perform routine automation tasks to ensure compliance for secure configuration, configuration backup management and routine firmware upgrades/updates
• Manage operational activities and implement changes
• Track network equipment support lifecycle, procure and support refresh activities to project closure and payment
• Track equipment maintenance support agreements and telco circuits contracts, procure contract renewal and make payment
• Support project teams in the delivery of wider IT service

Manage Network Comms Rooms at sites and Data Centre

• Standardise and provision cable interconnects for network access and Data Centre
• Respond and attend to alerts to resolve UPS and PDU faults
• Work with contractors to replace faulty rackmount UPS and PDU for Network Comms Rooms
• Interface and coordinate with Facilities Management for M&E issues (air-con, electrical, fire safety) for Network Comms Rooms
• Escort external vendors/contractors for network related activities

Inventory and Documentation

• Create and maintain clear and concise documentation of the environment
• Maintain up-to-date documentation on rack layout and cabling interconnects
• Manage and maintain up-to-date inventory control
• Perform periodic inventory audits and review
• Adhere to organisation procedure to retire obsolete equipment

Qualities We Value

• Preferably with formal technical certification such as Cisco CCNA
• Experience in scripting and programming with network automation tooling on  Ansible, Python, Terraform, GitLab is a plus
• Strong customer service orientation with good communication skills
• Self-motivated with attention to details
• Ability to work independently and effectively in a team environment.

Our Commitment That Goes Beyond the Norm

• An environment where you will be working on cutting-edge technologies and architectures.
• Safe space where diverse perspectives are valued, and everyone’s unique contributions are celebrated.
• Meaningful work and projects that make a difference in people’s lives.
• A fun, passionate and collaborative workplace.
• Competitive remuneration and comprehensive benefits.

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.

Summary

The Apple Services Engineering Commerce - Subscriptions team powers the subscriptions platform behind all of Apple's services including Apple Music, Apple TV, iCloud+, and subscriptions sold through the App Store. With over a billion active subscriptions driving Apple's services growth and revenue, we're dedicated to delivering best-in-class commerce experiences while creating a robust platform for our services and developers to monetize their businesses. Our Commerce team provides the transactional engine for the App Store, iTunes Music Store, Apple Music, iBook Store, Apple TV+, and more—operating the highest volume digital content store in the world, serving billions of transactions daily across more than 155 countries.

Description

As an Engineering Manager on the ASE Commerce - Subscriptions team, you'll lead the evolution of Apple's subscription ecosystem in an increasingly competitive landscape. You'll build and guide a team that develops services and application components shared across applications, supporting massive scale while maintaining the highest standards of reliability and security. You'll contribute to the architecture, design, and implementation of top-level user-visible features, with an emphasis on identifying reusable components across different scenarios and domains. Partnering with diverse cross-functional teams from across Apple, you'll tackle the stimulating challenges of building systems exposed to hundreds of millions of transacting users worldwide. If you want to make a difference and thrive in a fast-paced, rewarding environment where the best engineers collaborate to deliver fantastic products and features to our customers, this is the opportunity for you.

Minimum Qualifications

• Comfortable splitting time between hands-on coding and team leadership responsibilities
• Experience mentoring and coaching engineers, with a focus on technical growth and code quality
• Interest in growing engineering talent through 1:1s, career development conversations, and feedback
• Demonstrated ability to provide constructive code reviews and technical guidance to team members
• Ability to jump into debugging sessions and help unblock team members
• Comfortable taking ownership and providing technical direction, especially when requirements are ambiguous
• Strong object-oriented design skills with experience building maintainable, extensible systems
• Experience with distributed systems and microservices architecture
• Proven experience designing and implementing highly scalable, secure RESTful web services
• Hands-on engineering skills with ability to write clean, well-documented, production-ready code
• Experience building reusable components, frameworks, or libraries that provide leverage across teams
• Experience with relational databases and ORM frameworks (Hibernate, JPA, etc.)
• Strong testing practices including unit and integration testing (JUnit, Mockito, etc.)
• Experience working in and navigating large, complex codebases
• Strong written and verbal communication skills, able to explain complex technical concepts to diverse audiences
• Sound technical judgment with ability to make pragmatic engineering decisions

Preferred Qualifications

• Prior engineering management experience is a plus, but not required for exceptional technical leaders
• Familiarity with CI/CD pipelines and DevOps practices
• Familiarity with Agile and Sprint Planning techniques
• Expertise with NoSQL data stores like Solr, Elastic Search, Redis, Memcached, Cassandra, Voldemort, etc.
• Experience with monitoring, observability, and debugging production systems

Apple is an equal opportunity employer that is committed to inclusion and diversity, and thus we treat all applicants fairly and equally. Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities.

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

Job Description

1. Perform requirements gathering to translate user’s requirement into practical design objectives or specification
2. Design and develop new system to support user’s requirement
3. Work with software, hardware and mechanical team to assess requirement feasibilities, propose alternatives and present the solution to users
4. Liaise with users, software, hardware and mechanical team to define design specifications and provide application support
5. Review software, hardware and mechanical design architecture and technical documents for peripheral sub-systems
6. Generate and maintain project documents including requirements, test plans, procedures and reports
7. Perform system integration and testing
8. Provide technical leadership and guidance in the integration of hardware and software developed by various team members, allowing the development of solutions at the system level
9. Lead team to implement new system to meet operation requirement, and subsequently to maintain and support the system

Requirement

1. Bachelor's degree in Electrical, Aerospace, or Mechatronics Engineering
2. Excellent problem solving, analytical and conceptual skills
3. Excellent interpersonal and communication skills
4. Able to work independently
5. Team player
6. Experience in large scale systems
7. Experience in payload integration onto UAV systems

Join MODEC’s Engineering Digital Transformation (EDX) team to modernise how engineering gets done. You will identify, design and implement workflow automation by customizing engineering software and complementary tools, building new features, and creating seamless interfaces with our Engineering DX Web Apps. You will perform detailed fit gap analysis of software capabilities against MODEC workflows, then translate engineering rules and constraints into robust, testable logic via scripting and integrations. Your work will drive speed, accuracy and compliance with industry standards and MODEC design standards delivering measurable impact across our engineering deliverables.

Job Responsibilities

• Analyze engineering software functions and modules in detail to assess alignment with MODEC’s engineering workflows, documenting fit gap and proposing solutions or customisations
• Customize engineering software to fit MODEC’s workflows, implementing new features and extensions via the software’s scripting language, application programming interface (API), and configuration capabilities
• Develop and maintain automated interface connections between engineering software, Engineering DX Web Apps, and other generic tools, using programming code and relevant APIs to ensure robust data exchange, synchronization, and event-driven workflows
• Create and maintain data flowcharts for automation and optimization, clarifying inputs, transformations, and outputs for each workflow
• Ensure automation solutions and generated deliverables align with industry standards, classification society rules, and the company’s design policies and principles
• Define clear, testable, and technically feasible software requirements, including engineering calculations, data validation logic, and deliverable generation rules
• Support continuous assurance of automated engineering processes and outputs; collect and analyze feedback from deployments and incorporate improvements into engineering software customizations and interfaces
• Collaborate with internal departments and engineering SMEs to capture domain rules, constraints, and best practices; translate them into actionable logic/configurations within engineering software and integration layers
• Lead or participate in planning, stand-ups, demos, and retrospectives. Report measurable impacts of engineering software customizations and integrations (e.g., processing time reduction, error rate trends, rework avoidance, deliverable throughput)

Qualifications

• Bachelor’s or Master’s in Engineering
• Must have 5+ years in engineering software scripting/dev (e.g., Python, .NET/VBA, JavaScript, vendor APIs)
• Must have hands-on customisation/config of engineering platforms (e.g., AVEVA) using native scripting
• Proven experience building APIs/services linking engineering tools with web apps
• Oil & Gas EPC workflow/deliverables experience is a plus

Competencies

• Engineering platform expertise (AVEVA or equivalent); advanced MS Office
• Strong problem-solving, teamwork and decision-making

Roles & Responsibilities

• Responsible in coordinating off-site seminars and trade shows as needed
• In charge of responding promptly and efficiently to customer requests
• Responsible in securing new customers consistently and efficiently
• Other duties or projects, as assigned
• In charge of generating new leads
• Responsible in providing professional services to the existing and new clients through consultative selling, cross-selling or up-selling the company’s product and/or services.
• In charge of establishing and maintaining strong and lasting relationships with clients by regularly updating them with company’s new products and introducing innovative solutions
• In charge of providing continuing pre-sales and post-sales support in managing and meeting their expectations
• In charge of developing and customizing relevant materials and presentations that explain key product features and viable technical solutions to benefit clients and prospects
• In charge of maintaining a high degree of technical knowledge to effectively engage in business discussions with clients across industries, and to co-create feasible solutions to address any of their engineering concerns throughout the selling process
• In charge of preparing costing, tenders, proposals and quotations to current and new clients.

Requirements:

• Posses a valid Class 3 driving license and possess own transport will be advantage
• Min Diploma in Engineering
• Min 3 years of working experience in doing sales in Refineries/Petrochemical Industry
• Willing to travel to site.

Job Description of Assistant Project and Network Engineer

* Regularly reviewing, monitoring, documenting, performing and remediating tasks (completed and ongoing) to ensure compliance with standards and ensure customer SLA are met.

* Configuring, hardening, setting up, managing, documenting, deploying and maintaining on-premise and virtual machine operating systems.

* Configuring, hardening, setting up, managing, documenting, deploying and maintaining cloud services, desktop softwares, wired/wireless/mobile 4G/5G/6G networks, IT/OT and IT Security infrastructures.

* Configuring, setting up, managing, documenting, deploying firewalls with security policies to automate and manage threat detection and vulnerabilities.

* Performing and managing asset management, change management, resolution management including incident logging, classification for diagnosis and recovery, reporting for case and vulnerability management.

* Tracking deadlines, coordinating meetings, producing meeting minutes, updating project plans, drawing network diagrams and providing progress reports to support project execution and management.

* Managing tender submission timelines, creating and maintaining content libraries, supporting the end-to-end tender process, coordinating inputs from sales, technical, and legal teams to produce compliant, high-quality, and winning proposals.

* Labeling cables, splicing and/or crimping cables, testing cable integrity, cleaning, installing and routing cables through conduits, walls, ceilings, or underground pathways.

Skills/ Certification Requirements

* Minimum CCNP (Enterprise and Collaboration) certification
* Conversant in

** understanding and hands-on in Link Aggregation, LAG, LACP and VLAN
** use of GNS3, Packet Tracer, wireshark and tcpdump for network analysis/simulation
** use of Pareto and Ai tools to articulate analysis

* At least 3 years of experience providing network operational and administration supporting Meraki and Cisco products (Routers / Switches/WLAN)

* Diploma from a Singapore institution

* Minimum GCE O or N level English at C6

* Ad-hoc travel to service customers in Asia

* Able to work during customers' non production hours as needed (12 midnight to 6am)

* Able to use MS Office proficiently

Please email CV to edralyn@matchresources.co and respond through mycareersfuture portal

* Can use Microsoft Word & Microsoft Excel.

* Sometimes need to wear jumpsuit work inside clean room.

* Can speak in simple English.

* Simple Computer Knowledge.

* Require teamwork in order to complete tasks and accomplish common goals.

* Good communication, interpersonal skill and responsibility.

* Provide onsite training.

Job Responsibilities:

1. Strategic Engineering Leadership & Architectural Vision

● Orchestrate Technical Strategy: Define and champion the long-term technical roadmap for the Mobility Backend and Customer Interface departments, ensuring scalability, security, and resilience.

● Web & Full-Stack Excellence: Drive the strategy for our web ecosystem, overseeing modern, scalable frontend architectures built on React.js and robust, typed service layers using Nest.js.

● Mobile Ecosystem Excellence: Lead the strategy for native mobile development, overseeing high-performance applications built on Kotlin (Android) and Swift (iOS).

● Data Architecture & Management: Oversee a robust data strategy utilizing PostgreSQL for relational integrity and Redis for high-performance caching.

● Data Insights & Analytics: Drive the integration of BigQuery for large-scale data warehousing, enabling the business to derive actionable insights.

● Technical Mentorship: Lead and develop a high-performing team of Engineering Heads, conducting deep-dives into code quality and system design across Java, EKS, Kafka, and Microservices.

2. Delivery Excellence & Observability Culture

● Tactical Execution: Direct the operational "engine room" of the division. You own the mission-critical milestones, ensuring sprints and releases are executed with surgical precision.

● Drive Full-Stack Observability: Establish and enforce a comprehensive Observability Stack (e.g., Prometheus, Grafana, ELK, or Datadog) to ensure system visibility across backend, web, and mobile.

● Digital Experience Monitoring: Champion the use of Fullstory to bridge the gap

between technical performance and user experience.

● Agile Transformation: Drive the Scrum-of-Scrums cadence, fostering a culture of accountability and continuous improvement.

3. Stakeholder Engagement & Strategic Communication

● Executive Presentation & Storytelling: Develop and deliver high-impact presentations to the Board, C-suite, and Management committees. You must be able to translate complex technical roadmaps and "tech debt" into clear business value and ROI.

● Strategic Partner Influence: Act as the technical face of the organization when engaging with external partners, integration vendors, and industry stakeholders. Use persuasive presentation skills to align interests and secure high-value collaborations.

● Global Delivery Models: Manage Offshore Development Center (ODC) partners with a focus on rigorous resource planning and performance KPIs.

● Business Translation: Maintain strong communication channels with key business stakeholders (CSO, Marketing, B2B, etc.), translating business needs into technical deliverables.

4. Strategic PMO & Financial Governance

● Executive Oversight: Provide leadership to the PMO function, ensuring tactical delivery aligns with long-term financial cycles and budget constraints.

●Governance Bridge: Ensure a seamless handoff between the Delivery Management team (focused on "the build") and the PMO (focused on "the audit/reporting") to maintain 100% compliance.

5. Any ad hoc duties as assigned

Job Requirements:

● Preferably minimum 12 years and above of experience in software engineering, with at least more than 5 years in a senior leadership role (Director or Head of level).

● Exceptional presentation and public speaking skills through data-driven presentation.

● Proven track record in building and scaling distributed systems using Java, Kubernetes (EKS), and Kafka.

●Deep understanding of React.js/Nest.js for web and Kotlin/Swift for mobile, alongside data stacks like PostgreSQL, Redis, and BigQuery.

● Experience with Fullstory and modern monitoring frameworks to drive product quality.

● Mastery of the Atlassian suite (Jira/Confluence) and Agile/Scrum methodologies will be a plus

R3 – EIT SAP General Ledger and Operating Expense Management Software Engineer (SG)

Enterprise IT is an essential component of the current IT division that provides support to the Pharmaceutical Research, Supply Chain, Marketing organizations as well as Enabling Functions. The EIT SAP Platform Team is responsible for company’s SAP Global Template asset, delivering enterprise-level capabilities through harmonized business processes and data. The team is responsible for the operation of all company’s SAP and integrated solutions, governance of the associated enterprise assets, and cost-effective delivery of capabilities to support achievement of immediate and future state business objectives.

Within the EIT SAP Platform Team, the EIT SAP General Ledger and Operating Expense Management Software Engineer will be responsible for product delivery in this focused area through working with a globally diverse set of teams; SAP Basis/Security/ABAP, SAP Functional, other IT Platform teams together with the Finance Value team. The candidate will be responsible for product delivery by providing functional design, technical configuration, test verification, documentation with relate to their respective Finance application(s). 

Responsibilities:

Bea member of global FBM (Finance Business Management) team of SAP Experts located in Singapore Tech Centre.

SAP Cross-Functional Delivery:

• Collaborate with delivery peers to ensure best-in-class delivery from solutioning of business requirements through unit-tested, working solutions.

SAP Functional Expertise:

• Possess detailed understanding of SAP Financial in the area of General Ledger (GL), and general understanding in the area of Operating Expense Management (CO-CCA, PCA, IO, PA)
• Collaborate closely with Finance Value Team to convert user stories to functional specification for product development.
• Be able to analyse/design complex system solution, setup system configuration and perform testing as part of product team delivery in a ECC 6.0 Global instance.
• Ability to visualize end-to-end integrated business processes and impacts across key areas such as Financial Business Management, Order to Cash, Source to Settle, Supply Chain Management, Tax, and Financial Supply Chain.
• Stay up to date with the latest developments in SAP functionality and identify opportunities for process improvements and automation.
• As part of the regional onsite team, to provide expert level support to production support/operations team to ensure minimum disruption to business continuity (e.g financial closing).

SAP Configuration and Development Governance:

• Responsible for SAP configuration changes and developments align with business requirements, industry standards, and regulatory compliance.
• Adhere to change control processes and methodologies to minimize system disruptions and ensure system stability.
• Collaborate with cross-functional and technical teams to prioritize and work independently on the delivery of SAP enhancements and new functionalities.

Stakeholder Collaboration:

• Collaborate closely with business stakeholders, including finance, supply chain, and other functional areas, to understand their needs and align SAP solutions accordingly.
• Work closely with Product tech/value team lead to prioritize, providing insights and recommendations on leveraging SAP capabilities to drive business growth and operational excellence.
• Work in a matrix environment and reporting to the Product tech leads in a global setting. Participate in review of own work,and leads review of colleague’s work as appropriate.

Desired Education Level: 

• Master or Bachelor's Degree is required. Concentration in Computer Science, Information Systems or related field is preferred.

Required Skills & Experience: 

• 7+ years of SAP solution delivery experience in the area of FI-GL, CO-CCA/PCA/IO/PA. -required.
• Cross-functional business process experience - required
• Knowledge of interface development E.g. Idoc, BAPI, Middleware (BTP, TIBCO) – required.
• Excellent communication skills and the ability to interact directly with business process owners and business stakeholders. – required.
• Practical experience with single ECC instance in a large scale corporation with global presence. – preferred
• Knowledge of localization within Asia/Europe/US region – preferred
• Working knowledge with Automation team (E.g. Bot) - preferred
• SAP FICO delivery lead experience - preferred
• Experience in SAP S/4HANA will be an advantage.
• Migration experience from ECC to SAP S/4HANA - preferred
• Life Sciences Industry experience - preferred
• Proven record of excellent performance. - preferred
• Proficiency with product life cycle tools such as ServiceNow, Jira, Jira Xray. – preferred.
• Strong interpersonal skills; the ability to work well with people from different disciplines/timezone with varying degrees of technical experience; competence in clear concise and tactful communication with seniormanagement, clients, peers and team members - preferred
• Agile software development and DevOps settings - preferred

Job Description

• Industry/ Organization Type: Construction
• Position Title: Technical Engineer
• Working Location: Boon Lay
• Working Hours: 5 days (Mon – Fri, 9.00am – 6.30pm)
• Salary Package: Basic salary up to $4,500 + Variable Bonus
• Duration: 2-years Contract (Convertible to Permanent)

Key Responsibilities

• Prepare technical reports, design calculations, and specifications
• Create 2D and 3D drawings as needed
• Plan and oversee engineering projects
• Conduct feasibility studies and technical assessments, including site investigations
• Carry out site inspections and investigations as required
• Coordinate and communicate with clients, authorities, architects, engineers, contractors, and suppliers to resolve design and development issues
• Conduct research and gather data for projects and Capstone initiatives
• Ensure project compliance with current codes of practice and legal requirements
• Attend training courses provided by the company

APPLY NOW!!!

• Bachelor’s degree in civil & structural engineering, or relevant discipline
• Recognised qualification by the Professional Engineers Board Singapore (PEB) preferred
• Experience in restoration, civil or structural engineering design, or project management is an advantage
• Proficient in Microsoft Office and engineering design software
• Able to perform engineering hand calculations to relevant codes (BS/EC)
• Experience with CAD or BIM is preferred
• Willing to travel as required

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #65005 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job Description

• Able to use CAM function to generate CNC Fanuc program.
• Able to interpret technical drawing and review 3D CAD design.
• Able to create Work Definition/ Processes in Oracle software.
• Analyzes the design and defines the best sequence of machining steps.
• Follow the Master parameter template to decide speeds, feeds and fixture to be used.
• Request CAD file from Engineer.
• Compare 3D model dimensions with hard copy drawing for any error.
• Ensure that cutting tools are available or highlight to superior for purchase.
• Optimize programs to ensure low cycle times and tool wear are minimized.
• Engage in other activities or responsibilities assigned by superior.

Requirements:

• Minimum Higher Nitec/ Diploma in any Engineering field (Mechanical, Electrical &Electronics)
• Minimum 2 - 5years hands-on experience in CAM software (Master Cam 2023).
• Knowledge and exposure in CNC Milling machines & Oracle ERP software.
• Able to read and interpret technical drawing.
• Team player who is able to work independently.
• Good interpersonal and communication skills.

Others info:

• Walking distance from Ubi MRT Station.
• AWS + VB + Group Profit Sharing.
• Salary package up to $3,340 inclusive of and allowance.

Only shortlisted candidates will be notified.

Job Description:

The Resident Technical Officer (RTO) is responsible for overseeing daily site operations, ensuring construction works are carried out safely, accurately, and in compliance with approved plans, specifications, and statutory requirements. The role involves supervising contractor activities, identifying discrepancies, monitoring progress, and supporting the project team in ensuring quality and timely execution of all works.

Job Scope:

• Monitor contractors' all type of daily activity, site progress, schedule and safety on site.
• Highlight discrepancies, feedback site progress and non-conformances/ irregularities to QPs/ Consultants/ Employer.
• To ensure all the construction works have complied statutory requirements

Job Requirements:

• Must be registered as Resident Technical Officer (RTO) accredited by JAC of IES/ACES as QSS.
• At least 3 Years of relevant working experience and a diploma in the civil/structural discipline or National Certificate in Construction Supervision (NCCS) or equivalent.
• Must be a team player with strong leadership, communication, and supervision skills.

Job Description

• Industry/ Organization Type: IT/ Software & Digital Service
• Position Title: Senior Software Engineering Manager
• Working Location: Tanjong Pagar (Walk distance from MRT)
• Working Hours: 5 Days, Monday – Friday (Office Hours)
• Salary Package: Basic Salary + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Lead, guide, and develop a team of Platform, SRE, and DevOps engineers, promoting a culture of high performance, teamwork, and accountability.
• Oversee system backend and infrastructure design to ensure scalability, reliability, and optimal performance.
• Drive the execution of complex, high-impact initiatives across multiple engineering teams.
• Define and implement a long-term technical strategy focused on platform scalability, security, and system resilience, aligned with business goals.
• Manage and enhance cloud infrastructure (preferably GCP), ensuring best practices in automation, monitoring, and cost optimization.
• Design, implement, and continuously improve CI/CD pipelines, infrastructure automation (Terraform), and container platforms (Kubernetes, Docker).
• Lead incident response and operational improvements to maintain high system availability and resilience.
• Work closely with cross-functional teams including product, engineering, and business stakeholders to deliver scalable and efficient solutions.

APPLY NOW!!!

• Bachelor’s degree in Computer Science, or a related discipline.
• Minimum 8 years of experience in Platform Engineering, Infrastructure, or Site Reliability Engineering (SRE).
• Proven experience in building, managing and leading high-performing engineering teams and deliver complex technical projects.
• Strong knowledge of backend architecture, system design, and cloud infrastructure management (GCP preferred)
• Solid understanding of CI/ CD pipelines, automation, monitoring, logging, tracing, and incident management principles.
• Hands-on experience with Infrastructure as Code (e.g. Terraform) and container orchestration tools (Kubernetes, Docker).
• Experience managing and scaling large databases (both relational and NoSQL) is an added advantage.
• Experience with Data Engineering, including tools such as BigQuery and Looker is a plus.
• Experience in cloud cost optimization and financial management is good to have.
• Strategic mindset with the ability to balance technical direction and business objectives.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83489 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Job Description

• Industry/ Organization Type: IT/ Software & Digital Service
• Position Title: Senior Software Engineering Manager
• Working Location: Tanjong Pagar (Walk distance from MRT)
• Working Hours: 5 Days, Monday – Friday (Office Hours)
• Salary Package: Basic Salary + Performance Bonus
• Duration: Permanent

Key Responsibilities

• Lead, guide, and develop a team of Platform, SRE, and DevOps engineers, promoting a culture of high performance, teamwork, and accountability.
• Oversee system backend and infrastructure design to ensure scalability, reliability, and optimal performance.
• Drive the execution of complex, high-impact initiatives across multiple engineering teams.
• Define and implement a long-term technical strategy focused on platform scalability, security, and system resilience, aligned with business goals.
• Manage and enhance cloud infrastructure (preferably GCP), ensuring best practices in automation, monitoring, and cost optimization.
• Design, implement, and continuously improve CI/CD pipelines, infrastructure automation (Terraform), and container platforms (Kubernetes, Docker).
• Lead incident response and operational improvements to maintain high system availability and resilience.
• Work closely with cross-functional teams including product, engineering, and business stakeholders to deliver scalable and efficient solutions.

APPLY NOW!!!

• Bachelor’s degree in Computer Science, or a related discipline.
• Minimum 8 years of experience in Platform Engineering, Infrastructure, or Site Reliability Engineering (SRE).
• Proven experience in building, managing and leading high-performing engineering teams and deliver complex technical projects.
• Strong knowledge of backend architecture, system design, and cloud infrastructure management (GCP preferred)
• Solid understanding of CI/ CD pipelines, automation, monitoring, logging, tracing, and incident management principles.
• Hands-on experience with Infrastructure as Code (e.g. Terraform) and container orchestration tools (Kubernetes, Docker).
• Experience managing and scaling large databases (both relational and NoSQL) is an added advantage.
• Experience with Data Engineering, including tools such as BigQuery and Looker is a plus.
• Experience in cloud cost optimization and financial management is good to have.
• Strategic mindset with the ability to balance technical direction and business objectives.

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83489 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Summary

We are seeking an AI/ML Researcher to lead the research and development of large language models (LLMs) solutions. The ideal candidate will have a minimum of 2 years of experience in NLP research and a deep understanding of core LLM components, including LLM modeling, information retrieval, entity-relation extraction, agentic frameworks, and reasoning. The role involves leveraging AI/ML algorithm framework, such as TensorFlow and PyTorch, to develop cutting-edge generative LLM solutions. Responsibilities include designing and conducting scientific experiments, utilizing NLP techniques and LLM core components to develop novel LLM solutions in cloud or on-premises environments. The candidate will also be expected to collaborate with the team, participate in code reviews, architecture discussions, and create comprehensive documentation. The ideal candidate should possess a strong foundation in statistical analysis, machine learning, deep learning, generative AI, and text representation techniques. Additionally, the candidate should have excellent communication skills, a strong work ethic, and a passion for delivering high-quality, innovative solutions.

Responsibilities:

• Leading in designing the research and experiment methodology, specifically in LLM core components.
• Conduct independent research and report experiment results, research findings to stakeholders.
• Collaborate with engineering team in various data engineering tasks, including data collection, preprocessing, quality control, and augmentation, to curate high-quality datasets essential for model training,
• Utilize analytical techniques to extract meaningful insights from large datasets
• Communicating regularly with supervisor and Research leads on scientifical progress, insight and research direction.
• Publishing research papers in reputable journals and conferences is valued, it is not a strict requirement for this role.
• Contribute to other program-related projects.
• Collaborate with engineering team to translate researched technology (low TRL) to engineering (high TRL).
• Candidates applying for senior staff positions are expected to mentor and support team members (or cross-team members) in technical advising.

Requirement:

• Masters or PhD in Computer Science, Computer Engineering, Statistics, Engineering, or related field.
• 2-4 years of experience in research and development, specifically in one or more of the following areas:

1. Natural language processing, specifically in large language model (LLM) core component, e.g., joint entity relation, information retrieval, prompt engineering, reasoning, sentiment analysis, vulnerabilities in LLM, etc.
2. Generative AI, specifically in generating synthetic data.

• Demonstrate an analytical mindset with adept problem-solving skills.
• Keep abreast of the latest advancements in program-related techniques and methodologies,
• Exhibit a strong drive to deliver optimal solutions within tight timelines.
• Strong communication and organizational skills.
• Comprehensive documentation of technical specifications, architectural designs, and best practices.

Summary

This is an applied AI research role. The researcher will design and build non-deterministic analytical tools — grounded in statistical modelling, predictive models, and machine learning — that work across structured and unstructured data. Another part of the role is developing AI agents powered by large language models (LLMs) that can reason over and orchestrate these tools to solve real analytical problems end to end. The researcher is expected to be rigorous with data, curious about intelligent systems, and motivated by seeing their work produce something that actually runs.

Responsibilities

Research & Analysis

• Work with structured datasets to identify patterns, trends, and statistically significant findings that inform research questions and business decisions.
• Apply and adapt predictive models (regression, classification, time series forecasting) and mathematical models to address defined research problems.
• Conduct exploratory data analysis (EDA) to assess data quality, distributions, and feature relevance prior to modelling.
• Design and run statistical experiments, including hypothesis testing, power analysis, and significance testing.
• Validate model performance using appropriate evaluation frameworks and communicate limitations honestly.

AI development

• Study and apply LLM-based agent frameworks to automate and orchestrate research workflows.
• Design and build AI agents that use LLMs as a reasoning engine, with data science models and pipelines exposed as callable tools.
• Integrate agent outputs with structured data — enabling agents to query databases, invoke predictive models, and interpret results.
• Evaluate agent performance: task completion, reasoning coherence, tool-use accuracy, hallucination rate, and failure handling.
• Stay current with the evolving agent landscape and share learnings with the team.

Technical development

• Write clean, well-documented Python code for data processing, feature engineering, model development, and result visualisation.
• Query and manipulate structured data from relational databases using SQL.
• Use core data science libraries including Pandas, NumPy, Scikit-learn, Matplotlib/Seaborn, etc.
• Contribute to shared codebases, following team coding standards and version control practices (KLASS Gitlab).
• Assist in building reproducible data pipelines and experiment tracking workflows.

Collaboration & communication

• Work closely with senior researchers and principal researchers to scope, plan, and deliver project workstreams.
• Contribute to the quarterly and annual research reports, translating technical findings into clear, accessible language.
• Present findings to internal and client-side collaborators, including non-technical audiences.
• Participate in team research reviews, peer code reviews, and knowledge-sharing sessions.

Requirements

Education

• Master’s or PhD – Computer Science, Mathematics, Statistics, Physics, Engineering, Data Science, or a closely related quantitative discipline. (Preferred)
• Bachelor’s Degree – In a relevant quantitative field, with demonstrable hands-on experience in data science (e.g. internships, research projects, competitions, or open-source contributions).
• Fresh Graduates – Encouraged to apply. We value strong fundamentals and intellectual curiosity over years of experience.

Technical skills — essential

• Python programming: proficiency with core data science libraries (Pandas, NumPy, Scikit-learn, SciPy, Matplotlib, Seaborn).
• Data wrangling: handling missing data, outlier detection, feature engineering, and normalisation on structured datasets.
• Mathematical foundations: linear algebra, calculus, and optimisation as applied to machine learning and statistical modelling.
• Working knowledge of modelling families: supervised, unsupervised, and generative models — see the dedicated modelling section below for full detail.

Personal Qualities

1. Research mindsetIntellectually curious across both quantitative and AI domainsRigorous and detail-oriented in analysis and documentationComfortable with ambiguity and iterative problem-solvingHonest about uncertainty — in models and in LLM outputs
2. Working styleClear communicator, written and verbalCollaborative team player in a research environmentSelf-directed with good time managementEager to learn and receive constructive feedback

Experience

0–2 years of professional or research experience

We define experience broadly. Relevant experience includes academic research projects, dissertations with a data science component, internships, industry placements, personal or open-source projects, Kaggle competitions, or research assistant roles. We are more interested in the quality of your analytical thinking than the number of years on your CV.

Key Responsibilities for Wireless IP Network Engineer

1. Incident & Problem Management: Manage and resolve high-priority network incidents escalated from L1/L2, including root cause analysis (RCA) and security incident response to minimize business impact.

2. Infrastructure Troubleshooting: Collaborate with internal infra tower teams to troubleshoot complex wireless/IP network issues and identify root causes.

3. Vendor Support Coordination: Partner with network vendors (specifically Huawei) for troubleshooting, bug identification, and technical resolution.

4. Emergency Response: Handle critical network incidents under pressure, restoring services promptly to minimize downtime.

5. Technical Communication: Lead or participate in conference calls with technical teams to drive problem identification and resolution.

6. Process & Change Management: Adhere strictly to Customer policies and align with Huawei’s change management processes.

7. Network Operations & Configuration: Perform day-to-day configuration, optimization, and maintenance on Huawei wireless/IP network devices.

8. Proactive Monitoring & Reporting: Perform network insights, conduct preventive maintenance, monitor key tasks, and provide detailed reports on maintenance checks and issues.

9. Customer Relationship Management: Act as the technical point of contact, advising the customer on technical issues, potential risks, and optimization opportunities.

10. Team Collaboration: Collaborate with technical teams and teammates to resolve complex technical challenges independently.

SKILLSET

This role requires a Diploma/Bachelor’s in Engineering or Computer Science, with deep knowledge of routing, switching (BGP, OSPF, VLANs, STP, HSRP) and hands-on, complex troubleshooting skills. Candidates should ideally understand modern technologies (VXLAN, Cisco ACI, SDWAN) and wireless systems, showing a willingness to learn.

1. Requirements:

- Networking Fundamentals:

In-depth understanding of Routing, Switching, WLAN/LAN/WAN, Spanning Tree Protocol, HSRP, ARP, VLANs, Inter-VLAN Routing, OSPF, and BGP.

- Troubleshooting & Analysis:

Advanced hands-on experience on routers/switches, isolating root causes of complex problems, and resolving network incidents.

- Advanced Technologies:

Knowledge of VXLAN, Cisco ACI, VXLAN BGP eVPN, SDA, and SDWAN.

- Wireless Technology:

Understanding of wireless network technology, including WLC and APs.

2. Education:

Diploma or Bachelor's degree in Engineering or Computer Science.

3. Preferred Qualifications:

- Proactive attitude toward learning new technologies.

- Logical thinking and strong troubleshooting skills.

Key Responsibilities for DCN IP Network Engineer

1. Incident & Problem Management: Own the end-to-end resolution of DCN network incidents escalated from L1/L2, performing root cause analysis (RCA) to resolve chronic problems and security threats, aligning with ITIL processes.

2. Infrastructure Collaboration: Collaborate with cross-functional infra tower teams to troubleshoot and isolate network-related root causes, ensuring rapid service restoration.

3. Vendor Management: Drive technical resolution by managing network vendor support teams (Huawei) for hardware/software issues, troubleshooting, and patching.

4. Critical Incident Response: Manage high-pressure, critical network incidents (P1/P2) by leading troubleshooting efforts, applying emergency workarounds, and implementing final fixes to minimize business impact.

5. Technical Coordination: Drive technical conference calls with support teams to accelerate problem identification and resolution.

6. Communication & Autonomy: Deliver clear, professional technical communication (verbal/written) and work independently on complex assignments.

7. Process Compliance: Strictly adhere to Customer and Huawei policies regarding change management, standard operating procedures (SOPs), and security standards.

8. Huawei Configuration: Perform daily configuration, commissioning, and optimization of Huawei data communication devices (Routers/Switches/Firewalls) based on customer requirements.

9. Network Insight & Optimization: Perform proactive network analysis and health checks to identify potential capacity bottlenecks or performance degradation.

10. Preventive Maintenance (PM): Execute scheduled preventive maintenance tasks, monitor performance, and provide detailed reporting on network health check results and follow-up actions.

11. Customer Relationship Management: Maintain a professional relationship with the customer, providing proactive technical advice on infrastructure improvements and potential risks.

12. Team Collaboration: Act as a subject matter expert (SME) to provide technical guidance and collaborate with other TDs (Technical Directors/Teams) on complex problem resolutions.

13. High-Pressure Reliability: Demonstrate the ability to work under high pressure with minimal supervision to meet strict SLAs (Service Level Agreements).

This role requires a Diploma/Bachelor’s in Engineering or Computer Science and in-depth knowledge of networking concepts (routing/switching, BGP, OSPF, VLANs, STP). Key requirements include hands-on experience in troubleshooting complex network issues, with preference for experience in VXLAN, Cisco ACI, SD-WAN, and Data Center technologies.

1. Requirements:

- Networking Fundamentals:

In-depth understanding of Routing, Switching, WLAN/LAN/WAN, STP, HSRP, ARP, VLANs, Inter-VLAN Routing, OSPF, and BGP.

- Troubleshooting:

Hands-on experience in troubleshooting complex network problems, including root cause analysis and incident resolution.

- Advanced Technologies:

Experience with advanced technologies such as VXLAN, Cisco ACI, VXLAN BGP eVPN, SDA, and SD-WAN is a distinct advantage.

- Data Center Focus:

Knowledge of Data Center network technologies.

- Soft Skills:

Strong logical thinking, analytical skills, and a willingness to learn.

2. Education:

Diploma or Bachelor's degree in Engineering, Computer Science, or equivalent IT field.

3. Preferred Qualifications:

- Cisco-based environments (Routers, Switches, WLCs).

- Network troubleshooting tools (e.g., Wireshark).

- Network Security basics (Firewalls, VPNs).

Job Description:

The Resident Technical Officer (RTO) is responsible for overseeing daily site operations, ensuring construction works are carried out safely, accurately, and in compliance with approved plans, specifications, and statutory requirements. The role involves supervising contractor activities, identifying discrepancies, monitoring progress, and supporting the project team in ensuring quality and timely execution of all works.

Job Scope:

• Monitor contractors' all type of daily activity, site progress, schedule and safety on site.
• Highlight discrepancies, feedback site progress and non-conformances/ irregularities to QPs/ Consultants/ Employer.
• To ensure all the construction works have complied statutory requirements

Job Requirements:

• Must be registered as Resident Technical Officer (RTO) accredited by JAC of IES/ACES as QSS.
• At least 3 Years of relevant working experience and a diploma in the civil/structural discipline or National Certificate in Construction Supervision (NCCS) or equivalent.
• Must be a team player with strong leadership, communication, and supervision skills.

This is a senior-level IT Network Engineer role focused on high-pressure incident management, troubleshooting, and vendor management within a Financial Services Industry (FSI) environment. It requires strong knowledge of enterprise networks (Firewall/Router/Proxy), ITIL/ITSM processes, and compliance, often involving shift work.

Key Responsibilities for IP Network Engineer:

1. Incident Management: Manage L1/L2 network escalations, security incidents, and critical network outages to minimize business impact.

2. Troubleshooting: Identify root causes for complex network problems by working with infrastructure teams and vendors.

3. Compliance & Audit: Adhere to banking policies, document audit workpapers/findings, and manage compliance/due diligence.

4. Operational Support: Handle change management, vendor assessments, and knowledge management systems.

5. Technical Skills: Deep knowledge of Enterprise Networks (Firewalls, Routers, Proxies, LAN/WAN, TCP/IP).

6. Experience: Previous experience in FSI/banking environments and ITIL processes is highly preferred.

7. Certifications: CCNP, or equivalent network certifications are a plus.

This position requires a Diploma/Bachelor's in Engineering or Computer Science and in-depth knowledge of networking fundamentals (routing, switching, VLANs, OSPF, BGP). Candidates need hands-on troubleshooting experience with routers and switches and strong analytical skills. Familiarity with VXLAN, Cisco ACI, or SDWAN is highly preferred.

1. Key Requirements & Skills:

Networking Concepts: Strong knowledge of LAN/WAN, STP, HSRP, ARP, VLANs, OSPF, and BGP.

Troubleshooting: Advanced hands-on experience in diagnosing complex network problems and isolating root causes.

Advanced Technologies: Knowledge of SDN, SDWAN, Cisco ACI, or VXLAN is an advantage.

Skills: Logical thinking, problem analysis, and documentation skills.

2. Enhanced Qualifications with Huawei Knowledge:

Huawei Routing & Switching: Hands-on experience with Huawei AR routers and S-series switches (e.g., S5700, S6700) and VRP operating system.

Protocol Expertise: In-depth knowledge of Huawei's implementation of OSPF, BGP, STP/RSTP, and VLAN configuration.

Advanced Technologies: Familiarity with Huawei CloudCampus solutions, SD-WAN, and VXLAN/EVPN for data center networking.

Troubleshooting: Ability to troubleshoot Huawei equipment using CLI, checking logs, and using tools to resolve network performance issues.

3. Education: Diploma or Bachelor's in Engineering/Computer Science.

4. Preferred Qualifications: CCNP or equivalent industry certifications. Experience with Wireshark and network monitoring tools.

Summary of the Job

• To accurately input, update, and maintain data in company systems and records, while ensuring materials and transactions are correctly matched to the respective production orders, supporting data integrity and operational efficiency.

Job Responsibilities:

1) Data Entry & Record Managemnt

• Enter data into systems (ERP, QC Apps)

• Perform data verification and cross- checking to minimise errors and discrepancies.

• Generate daily, weekly, and monthly QC data reports as required by the QC team.

2) Material & Production Order Verification

• Cross-check:
  - Production Order Number
  - Item/ Part Number
  - Quantity
  - Ensure no mismatch between materials and system records

3) Communicate with production, warehouse, and relevant departments to clarify missing or incorrect data

4) Generate daily handover report for QC to Warehouse and secondary process

5) Assist leader on job order closing, timesheet update using ERP

6) Other duties as and when assigned

Job Requirements:

• Secondary/ NTC in Engineering and above

• At least 1 year experience in Data entry/ documentation control

• Knowledge of MS Office

• Ability to communicate orally in English language and produce written documentation with clearly organized thoughts

• Self-motivated, highly resourceful, and organized

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.