Hiring: Software Engineer, Global Banking & Markets, AI/ML Technology Company: Goldman Sachs Location: New York, NY Job Posted Time: 2026-09-10 11:41:49 Employment Type: Full-time Target Skills & Keywords : AWS, Agile, Apache, CI/CD, Docker, Equities, Event-Driven, GCP, GitHub, HTML, Java, Kafka, Kubernetes, Machine Learning, Microservices, Protocol Buffers, SQL, Spring, Spring Boot, TLS, Vert.x, gRPC About the job Experience: •2+ years of professional software development experience in Java (Java 17+ preferred), with strong command of concurrency, collections, and modern language features Required Skills: •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. •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. •As an engineer within the firm's Global Banking & Markets business, you will be instrumental in developing cutting-edge software solutions. Your responsibilities will include designing, developing, and implementing robust, low-latency systems and innovative platforms that enable efficient P&L management for our trading desks. •Drive strategic transformation: Work alongside domain experts to understand existing production processes, challenge long-held assumptions that may no longer hold in a cloud-centric, AI-driven world, and define and deliver the requirements for efficient AI integration. •Multiply your output with AI: Orchestrate AI coding agents (e.g., Claude Code, GitHub Copilot, Devin, Gemini Code Assist) across all stages of the SDLC while maintaining mastery, quality, and production fitness over all AI-generated work product. •Deliver outsized business value: Position Goldman Sachs' trading business to handle orders-of-magnitude higher volumes at lower operational costs, directly contributing to the firm's competitive and commercial edge. •Build for the future: Design and implement high-availability, multi-region, event-driven services on a modern cloud-native platform, setting the architectural standard for years to come. •Design, build, and operate high-availability, multi-region, cloud-native services with security and comprehensive observability (metrics, distributed tracing, structured logging) built in at every layer. Qualifications: •Demonstrated experience with AI-assisted engineering tools (e.g., Claude Code, GitHub Copilot Agent Mode, Devin, Gemini Code Assist), including the ability to govern AI agents, critically assess their output, and maintain quality over AI-generated work product. •Strong SDLC practices: version control, CI/CD pipelines, automated build/test/deploy workflows, and code quality tooling. •Solid testing discipline: unit, integration, and acceptance testing with modern frameworks. •Demonstrated capacity to rapidly navigate, understand, and debug large and unfamiliar codebases — with and without AI assistance. •Excellent communication and collaboration skills across technical and non-technical audiences in geographically distributed teams. •Frameworks & Architecture: Spring Boot, gRPC / Protocol Buffers, integration/orchestration frameworks (e.g., Apache Camel, Spring Integration), and pipeline/adapter design patterns (retry, dead-letter queues, error isolation). •Cloud & Infrastructure: Cloud platforms (GCP, AWS), container orchestration (Kubernetes, Docker), and JVM tuning for containerized workloads. •Observability & Operations: Application instrumentation (metrics, distributed tracing, structured logging) and production support in high-availability environments. •Data & Performance: Data modeling, SQL/NoSQL databases, caching strategies, and performance optimization in latency-sensitive systems. •Security: Enterprise security patterns; authentication protocols, mutual TLS, secrets management, and certificate rotation. Compensation: •$115,000 - $180,000 / year •Competitive benefits and rewards package •In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!