Java Engineer, AI-Integrated Cloud-Native Systems

The Goldman Sachs Group; New York (NY); On-site; USD 115,000 - 180,000; Full time

Job summary

Goldman Sachs seeks an experienced software engineer in New York to design, build, and operate high-availability, cloud-native services across multi-region deployments. You will work on AI-centric toolchains, produce production-grade code, and advance trading desks' capabilities with scalable, secure solutions.

Candidates should thrive in a fast-paced, AI-driven environment, demonstrate strong SDLC discipline, and collaborate with global teams to deliver impactful, low-latency systems.

Qualifications

• 2+ years of professional software development experience in Java (Java 17+ preferred), with strong command of concurrency, collections, and modern language features.
• Experience with AI-assisted engineering tools (e.g., Claude Code, GitHub Copilot Agent Mode, Devin, Gemini Code Assist), including governance of AI agents and quality oversight of AI-generated work.
• 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.

Responsibilities

• Design, build, and operate high-availability, multi-region, cloud-native services with security and observability built in.
• 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 model and digitize business processes and modernization efforts.
• Manage the full lifecycle of software components from requirements to release, in line with robust SDLC and Agile best practices.
• Innovate creative solutions to complex problems, building reusable capabilities across front, middle, and back office functions.
• Multiply impact with a modern, AI-centric toolchain, coordinating AI coding agents to rapidly comprehend codebases and accelerate delivery.

Skills

Java

AI-assisted tools

Event-driven systems

SDLC practices

Testing discipline

Large codebases navigation

Communication & collaboration

Tools

Apache Kafka

Job description

Goldman Sachs seeks an experienced software engineer in New York to design, build, and operate high-availability, cloud-native services across multi-region deployments. You will work on AI-centric toolchains, produce production-grade code, and advance trading desks' capabilities with scalable, secure solutions.

Candidates should thrive in a fast-paced, AI-driven environment, demonstrate strong SDLC discipline, and collaborate with global teams to deliver impactful, low-latency systems.