Total 11 Director/C-Level job vacancies

• A Director, Project Engineering is responsible for all the technical aspects of project implementation and commissioning. Director, Project Engineering leads a team of Project Engineering Manager and System Engineers to support the Project Management Team in the implementation process by taking part and leading the related implementation activities based on customer's environment and needs.
• During the design phase of a project, the Director, Project Engineering is required to manage the team to lead technical discussions with both vendors and end customers.
• Subsequently, Project Engineering Team is responsible for leading the creation of various documentations such as low-level design document, user acceptance test documents and network diagrams.
• During implementation, Director, Project Engineering’s role is to lead the implementation team to resolve any challenges related to technical aspects for successful implementation and commissioning.
• The company is searching for a team-oriented player who can understand the requirements, environment and has the technical competency to lead the team to successful implementation activities.

Responsibilities:

• Technical competency to lead and coach implementation team to overcome challenges encountered during implementations.
• Work closely with project management team and vendors to ensure successful project commissioning
• Gather technical requirements from Pre-Sales team and customer, and devise implementation solutions
• Provide and design high-quality low-level solution engineering document that would meet customer’s requirement in timely manner
• Attend to technical challenges faced by team during implementations to provide guidance to the team
• Work with vendors and principals to resolve all technical issues encountered during implementations
• Lead discussions with various stakeholders with regards to implementation issues

Requirements:

Experience & Knowledge:

• Bachelor’s degree in Computer Engineering etc.
• At least 10 years of experience in telecommunication, either in cyber security, big data analytics, IMS, IP telephony or data networking industry within the APAC region as technical team lead or other managerial position
• In-depth telecommunication, IP telephony, virtualization, database, Linux Operating Systems and data networking domain knowledge
• Professional certification in the respective areas will be considered favourably

Skills and Personality:

• Ability to lead the team to resolve technical problems on own or with help from vendors.
• Highly motivated, result-orientated and dedicated person who initiates appropriate actions and strategies
• Independent and can work without constant direction and close supervision.
• Capable of functioning effectively in hectic and fast-paced work environments
• Strong interests in keeping up-to-date with current technologies Excellent Presentation and interpersonal skills
• Ability to motivate other team members to work towards a common goal
• Good command of English language in verbal and written communication
• Willing to travel

JOB ID: GT/IPT0008

All Successful candidates can expect a very competitive remuneration package and a comprehensive range of benefits.

Kindly email your resume in a detailed Word format to gesse.tan@peopleprofilers.com

We regret that only shortlisted candidates will be notified

People Profilers Pte Ltd

• 20 Cecil Street, #08-09, Plus Building, Singapore 049705
• Tel: 69509745
• EA Licence Number: 02C4944
• EA Registration Number: R1108448
• EA Personnel: Tan Lili Gesse

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.

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.

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.

We are continuing our journey focusing on applying a product mentality to the way we build our products and ensure that we focus on our clients and their needs to build the right product at the right time. This role will be responsible for working with software engineers to guide the design, development and operation of mission critical products.

Your Impact

A successful product management candidate will bring a passion for technology services and the developers who use them, strong business acumen and judgment, ability to define and evolve products, desire to have a firm wide impact on our developer experience, and ability to work within a fast-moving environment in a large company to rapidly deliver services that have a broad business impact.

Key Responsibilities

• Lead Product Definition – Drive the customer working backwards strategy, tenets, long-term goals and working backwards documents (press release, FAQ) including customer feedback, competitive analysis and business metrics to inform direction. E.g., evaluate new use-cases for distributed scheduling, new continuous deployment product.
• Define Product Roadmap – Including all aspects to future roadmap, investment, innovation, and experimentation.
• Execution of Product Planning and Development – Including customer goals and business requirements for product release, ensuring implementation is aligned with product goals and requirements, and ownership of product positioning.
• Drive Product Launch – Drive GTM delivery, ensuring the customer and business goals are met in operational launch plans.
• Lead Operations – Including monitoring and response to customer feedback, continuous improvement and adoption.
• Lead interaction with Technical Team – Including helping the technical team make tradeoffs based on customer requirements, QA/testing of the product.
• Influence senior leaders across the firm for the product’s vision, strategy, goals, status, and customer impact.

Basic Qualifications:

• Bachelor's degree or equivalent practical experience
• Min. 7 years of previous work experience as a Product Manager, preferably in a technical product management role
• Demonstrated success collaborating with design and engineering peers to lead a product development team
• Comfortable with Agile processes, with an emphasis on creating backlogs that support the product roadmap
• Proven ability to influence and/or lead a cross-functional team without direct authority
• Ability to translate customer needs into a product roadmap
• Demonstrated ability to communicate complex problems and roadmaps to stakeholders
• Ability to define a value driven business case for new products and KPIs to track success of new product
• Ability to engage with and influence stakeholders outside their direct control
• Proven ability to lead by example, with a positive attitude
• Excellent communication and interpersonal skills
• Strong analytical and problem-solving skills
• Ability to set goals, meet deadlines, and effectively communicate progress to stakeholders
• Must have experience with managing client expectations and communicating effectively with individuals at all levels of the organization
• Highly organized, attention to detail and excellent follow through skills

Preferred Qualifications:

• Experience managing an entire product's lifecycle, from conception to launch
• Experience working with distributed scheduling platforms and large-scale compute 
• Solid technical foundation in software development and delivery
• Experience managing day-to-day technical and design direction
• Knowledge of multiple functional areas such as product management, engineering, user experience, user research, sales, trading, treasury, customer support or marketing
• Experience with Amazon’s Working Backwards process and drafting narratives/PRFaqs in clear, concise manner
• Familiar with machine learning and data products

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.

About Us

The SDLC team delivers engineer-first, mission critical tooling across the entire cycle of source code, build, test, maintain and distribution. Our tools are used by all the Engineers of Goldman Sachs across all business units, and therefore the scope and reach of the impact of our engineering can be felt in all aspects of the organization.

As an SDLC Engineer

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, compiles fast, tests comprehensively and is distributed widely. You will deliver CI/CD solutions that use modern tooling and software stacks. You could be working with cutting edge build technology, or the latest cloud native software and infrastructure in one or more languages including Java, Golang, and Python, or enabling and assisting our machine learning and AI tooling efforts.

SDLC Platforms include

• Build and Development using modern software stacks and methodologies

- GitLab - The firm's strategic CI/CD platform, hosted in-house with instances on-premise and on public clouds

- In-house developed Continuous Deploy (CD) tools for safely and repeatably deploying software packages, configuration and Infrastructure as Code

• Distribution - Secure software distribution mechanisms on both Linux and Windows
• Artifact Repositories - Build artifact repositories hosting dynamic terabytes of internal and external software packages and industry standard asset repositories, kept up-to-date and well secured.

Responsibilities

• Key contributor to the design, implementation and execution of our next generation CI/CD instances with an emphasis on security, testing the capability to exceed industry standard performance and availability.
• Develop features and improvements to our CI/CD solution, working with the vendor provided software stacks to extend and enhance according to engineering platform requirements.
• Collaborate with Product Management and other stakeholders within Engineering to maintain and improve the functions and quality of service
• Advocate for improvements to product quality, security, and performance
• Diagnose and solve technical problems, both within the core GitLab environment, and the broader SDLC ecosystem
• Metric gathering, analysis and reporting
• Reliability Engineering and operational resiliency

What you will learn when you join us

• Cloud native architectures in AWS.
• Managing all sizes and scopes of software repositories, build systems and deployment paradigms
• Expertise in commercial / open source build systems and strong knowledge of software change management systems
• Expertise in DevOps, SRE and Infrastructure (storage / networks / etc.)
• Design and implement distributed resilient systems
• Partner with and provide technical guidance on best practices to the GS Engineering community, across all revenue aligned Engineering teams
• Thinking about systems, edge cases, failure modes and behaviors

Skills and experience we are looking for

• A technical degree in Computer Science, Engineering, Mathematics, or a related field
• Min. 7 years’ experience in software engineering
• Ability to use and familiarity with Git
• Professional experience with Cloud deployment patterns. Notably AWS and Hashicorp Terraform
• General knowledge of multiple languages, and in-depth strong programming skills of at least one of: Golang, Java, Python, C, C++, preferably in large scale financial or technical organization
• Highly knowledgeable about running key applications on Linux
• Knowledgeable about networking protocols and topology
• Strong software engineering fundamentals, understanding algorithms, data structures and software design
• Experience with all stages in the lifecycle and debugging of developing and running distributed systems
• Demonstrable track record of taking ownership of requirements and delivering value

Attitudes we want

• Naturally collaborative with the ability to thrive in our global organization in an output driven, fast paced, hybrid and asynchronous work place
• Ability to communicate technical and organizational challenges and propose high quality solutions
• Self-managed, self-directed and good organization skills
• Passionate about the software development process and facilitating high frequency / high quality change across a vibrant and diverse user community
• Have an urge to resolve incidents and automate and document the resolution to prevent recurrence

PREFERRED QUALIFICATIONS

• BSc, MSc or PhD in relevant field (Computer Science, Maths, Physics)
• Highly knowledgeable about running key business applications on Linux platforms and Linux internals.
• Knowledgeable about networking (TCP, UDP, ICMP, ARP, DNS, TLS, HTTP, SSH, etc)
• Experience with Cloud and Infrastructure as Code technologies - AWS, Terraform, Docker, Kubernetes, 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.

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.

WHO WE ARE

Led by the Chief Information Security Officer (CISO), Technology Risk leads the effort to secure Goldman Sachs against hackers and other cyber threats. We are responsible for detecting and preventing attempted cyber intrusions against the firm, helping the firm develop more secure applications and infrastructure, developing software in support of our efforts, measuring cybersecurity risk, and designing and driving implementation of cybersecurity controls. The team has global presence across the Americas, APAC, India and EMEA. Within Technology Risk, Advisory is the consultative and technology subject matter expertise arm, responsible for assessing new technology initiatives for risk, partnering with engineers to architect and design secure products and services, embedding implementation reviews as part of the SDLC and CI/CD pipeline via code analysis and penetration testing, and guiding technology innovation in terms of security and control across Goldman Sachs. The team plays a critical role in designing and assessing controls for our transition to building native public cloud applications.

YOUR IMPACT

In this role, you will be supporting one of the following key pillars of Tech Risk Advisory, which is the consultative and technology subject matter expertise arm, responsible for assessing new technology initiatives for risk, partnering with engineers to architect and design secure products and services, via Architecture assessment and penetration testing, and guiding technology innovation in terms of security and control across Goldman Sachs.

Based on your skills and interests, you would be aligned with one of the key Advisory pillars and responsible for delivery of subset of the functions as part of the team.

Tech Risk Advisory Pillars

• Application Security: Help architect and software engineers design and build secure applications.

• Identity and Access Management: Drive the design of business-driven entitlements for end users and systems to allow authorized access to data and services.

• Data Security & Privacy: Drive the inventory of personal data in the firm, design systems that protect and allow authorized access to the data.

• Acquisitions & Divestitures: Assess the security posture of a potential acquisition, strategic investment, new business, or firm divestiture and provide support on any of the above as it relates to the firm's security controls.

• Mobile Security: Help engineering teams to design and build secure mobile applications.

• Platform Security Architecture: Drive secure design of enterprise platforms, develop secure frameworks and patterns for infrastructure, cloud, and emerging technology, establish shared responsibility models for shared and firmwide platforms.

• Vendor & Partner Security: Assess and oversee information security, application security, Cloud security and business continuity related risks that may arise from outsourcing business activities to vendors.

• Secure-SDLC: Help engineering teams to identify and remediate security flaws in applications at scale through automated means.

HOW YOU WILL FULFILL YOUR POTENTIAL

You will become a highly committed and trusted Risk Advisor with the discipline and interpersonal skills to work in a global environment communicating the impact of technology risks and the approach to mitigation and acceptance. You will provide Technology Risk Advisory risk assessment and advisory services to engineers and business leaders as part of the Technology Risk function.

Overall, the Job Responsibilities of Tech Risk Advisory involve one or more of the following elements, the specifics of which may vary per function:

JOB RESPONSIBILITIES:

· Perform pentest of web applications, APIs, Mobile applications, and Thick Client applications, both On-prem and in the Cloud

· Design secure patterns and produce guidance to reduce risks through opinionated architecture

· Validate security controls and uncover misconfigurations across various cloud deployments

· Perform software architecture design reviews/threat modeling for on-prem or cloud-based applications

· Drive adoption of embedded application security controls within the firm’s Software Development Life Cycle (SDLC)

· Develop detection capabilities for Static and Dynamic security testing solutions and support development teams in their remediation efforts to address security flaws identified through automated scanning

· Conduct Cyber security assessments of the firm’s vendors commensurate with the information risk of the relationship

· Support the firm's acquisition strategy by providing deal teams with insight into material cyber security risks, control differences, and risk remediation priorities for potential acquisition targets

· Partner with business and technology teams to identify security-related concerns relating to divestitures, such as separation strategy, data and system migration plans, and inputs for Transition Service Agreements (TSAs) and Reverse TSAs

· Provide guidance to business and technology users on relevant policies/standards related to data protection, privacy, and data risk management to enable adoption of secure and resilient solutions

· Support IAM program initiatives such as Privileged Access Management (PAM), Role-Based Access Control (RBAC), Segregation of Duties (SOD) and Single Sign-on Design Pattern enforcement.

JOB REQUIREMENTS:

· Bachelor’s or Master’s degree in Computer Science, Cybersecurity, Information Technology, or a related field.

· Min. 10 years of experience in Technology Risk and/or Cybersecurity, with a proven track record of being in a consulting or security engineering capacity.

· Deep understanding of at least one major programming language (Java, Python, Go) and modern engineering practices (Microservices, Containerization, IaC).

· Hands-on experience with public cloud platforms and their respective security frameworks.

· Exceptional interpersonal skills with the ability to influence technical and non-technical stakeholders globally.

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.