Banking Software Engineer Jobs in Utah (NOW HIRING)

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.

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. 

Critically, you will lean heavily into AI-driven development. You will be responsible for architecting and implementing production-grade AI solutions that integrate directly into our existing Java-based microservices. Using Goldman Sachs' AI tooling and agentic coding assistants, you will govern multiple AI agents, rapidly comprehend large legacy codebases, generate and assess production-quality code, and accelerate every phase of the software development lifecycle.

Your Impact

• 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.

What You Will Do

• 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.
• Develop event-driven architectures, multi-stage processing pipelines, and optimized data paths for high-throughput trade lifecycle management.
• Partner with engineers, domain experts, and global stakeholders to understand, model, and digitize the firm's business processes, challenging entrenched practices and driving modernization across teams.
• Manage the full lifecycle of software components, from requirements analysis through design, development, testing, and release, in line with robust SDLC and Agile best practices. 
• Innovate creative solutions to complex business and technical problems, building reusable capabilities that can be leveraged across Global Banking & Markets' front, middle, and back office functions. 
• Multiply your impact with a modern, AI-centric toolchain, orchestrating AI coding agents across all stages of the SDLC to rapidly comprehend large codebases, generate production-quality code, and accelerate delivery.

Required Qualifications

• 2+ years of professional software development experience in Java (Java 17+ preferred), with strong command of concurrency, collections, and modern language features
• 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.
• Experience building event-driven and distributed systems, including familiarity with messaging platforms (e.g., Apache Kafka), delivery guarantees, and resilience strategies.
• 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.
• Ability 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.

Preferred Qualifications

Experience with a meaningful subset of the following is highly valued:

• 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.
• Domain Knowledge: Equities, post-trade, or financial services experience; trade lifecycle concepts, asset servicing, position management, reconciliation, and multi-system migration environments.
• Other: Asynchronous / non-blocking I/O frameworks (e.g., Vert.x, Netty), multi-region / BCP architectures, and open-source contribution experience.