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**Summary:** Seek Senior Software Engineer to lead our Securities Settlement Engineering team in Global Banking & Markets. Key responsibilities include: * Architecture design for cloud-native post-trade platform. * Owning critical systems end-to-end, ensuring accuracy and operational excellence. * Driving cloud migration, regulatory compliance, and risk management. * Pioneering AI-driven engineering and automation across the team. * Collaborating with cross-functional teams to integrate systems and ensure stakeholder needs are met. * Improving infrastructure and DevOps practices to enhance service deployment and reliability. Candidates should have: * Proven track record of owning cloud-based, production-ready systems (AWS}. * Deep expertise in Java development and distributed systems design. * Experience in designing and operating cloud-native platforms using microservices and managed AWS services. * AI expertise, including code generation, automated analysis, and reconcile diagnostics. * Strong communication skills and experience working with diverse teams. * Bachelor’s degree in computer science, engineering, or a related field. Experience with AWS serverless and managed infrastructure, event-driven processing, and graph-based execution orchestration is preferred.
- Compensation
- Not specified USD
- City
- Salt Lake City
- Country
- United States
Currency: $ (USD)
Full Job Description
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. Drive new businesses, redefine finance using AI, and seize opportunities at market speed.
In an era defined by AI, Engineering isn't just central it's the driving force behind our business. Our dynamic environment demands innovative strategic thinking and immediate, impactful solutions. Ready to push the limits of digital possibility? Begin your journey here.
Within the firm's Global Banking & Markets business, the Securities Settlement Engineering team operates at the intersection of finance and technology, implementing innovative solutions to enhance the post-trade processing landscape.
Our team is responsible for designing, developing, and maintaining high-performance software solutions that facilitate the settlement of equities and fixed income instruments, processing millions of events and thousands of users daily. There is a current focus on migrating existing systems to a strategic platform, with a foundation built upon an event-sourcing architecture using public cloud and serverless solutions, to enhance the scalability and resilience of the settlement processes and guaranteeing capacity for future growth. Collaboration with various stakeholders, including trading desks, operations teams, and other Engineering groups, ensures that the systems meet the evolving needs of the business and integrate seamlessly with other platforms.
Our team primarily uses Java for software development, while also leveraging other languages, tools, and frameworks for specific tasks. We employ a microservices architecture and RESTful APIs to build modular and scalable systems and embrace DevOps practices to ensure continuous integration and delivery.
A global team located across seven regions, the Securities Settlement Engineering team fosters a collaborative and inclusive work environment, encouraging team members to share ideas and contribute to continuous improvement. Our work is critical to Goldman Sachs' success, as it ensures the efficient and accurate settlement of trades, helps the firm manage risk and comply with regulations, and establishes exceptional service for our clients.
Who We Look For
Goldman Sachs Engineers are at the forefront of innovation, driving solutions as creative collaborators in a fast-paced global environment. We seek individuals who evolve, adapt, and thrive on challenging problems.
We are seeking a senior engineer who can lead at the frontier of cloud-native financial systems and AI-driven engineering someone who is energized by hard problems, brings deep technical credibility, and wants to define what the next generation of platforms looks like.
How You Will Fulfill Your Potential
- Architect the future state. Lead the design and implementation of cloud-native post trade platform. Building systems that are correct, fast, and operationally excellent.
- Own critical systems end-to-end. Take full ownership of production services from design through deployment and incident response. Being the person the team trusts to make the right call when it matters.
- Drive the cloud migration. Own key workstreams in the transformation to AWS/GCP, ensuring automated reconciliation, incremental rollout, and rigorous dual-run validation.
- Pioneer AI-driven engineering. Champion the use of AI agents and AI-enabled tooling across the team for specification, implementation, testing, reconciliation analysis, and operational diagnostics. Help the team move from "AI-curious" to "AI-native."
- Raise the technical bar. Guide architectural decisions across the polyglot codebase, review critical code, define data dependency and orchestration patterns, and mentor engineers who want to grow into senior technical leaders.
- Partner across the firm. Work closely with business, risk, trading, and clearing teams to translate business requirements into technology-driven automation, intelligent tooling, and measurable operational improvements.
- Shape infrastructure and DevOps. Contribute to CDK infrastructure stacks, CI/CD pipelines, container image pipelines, and multi-region deployment automation because owning a service means owning how it gets to production.
Basic Qualifications
- Proven track record as a senior software engineer with end-to-end ownership of complex, cloud-based production systems on AWS.
- Deep hands-on experience in Java building distributed calculation engines and event-driven services; comfort working across a polyglot stack.
- Experience designing and operating cloud-native platforms using microservices, gRPC/REST APIs, and managed AWS services (Fargate, Lambda, Step Functions, Aurora, ElastiCache, S3).
- Demonstrated experience using AI agents and AI-based tooling for enterprise software development code generation, automated analysis, diagnostics, or migration validation.
- Strong testing discipline using modern frameworks and patterns, with an instinct for writing code that is correct by construction.
- Deep understanding of distributed systems data consistency, failure modes, observability, and the operational realities of running financial infrastructure at scale.
- Exceptional communication skills and the ability to influence engineers, architects, and business stakeholders with clarity and conviction.
- Bachelor's degree in computer science, engineering, or a related field.
Preferred Experience
- AWS serverless and managed infrastructure: Fargate, Lambda, Step Functions, Aurora PostgreSQL, ElastiCache Redis, S3, EventBridge, CloudWatch.
- AI-enhanced engineering workflows: building developer or operational tooling powered by AI for diagnostics, reconciliation, code generation, or automated validation.
- Graph-based execution orchestration: DAG scheduling, topological sort, data dependency resolution with configurable wait, bypass, and fallback semantics.
- Platform migration at scale: migrating monolithic on-premises systems to cloud-native architectures with incremental rollout, dual-run reconciliation, and zero-downtime cutover.
- Infrastructure-as-code: AWS CDK (TypeScript) and DevOps practices for large-scale, multi-region platform deployments.
- Modern build systems: polyglot monorepo tooling with remote execution, container image pipelines, and protobuf code generation.
- Containerization and orchestration: Docker, Fargate task definitions, dual-mode services (one-shot compute + long-running daemon).
- Financial domain expertise: Post-trade processing, or high-volume financial risk systems.
- AI fluency: agentic AI workflows, prompt engineering and a point of view on how AI will reshape enterprise software engineering.
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.
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here.
Were 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.
