AI-Driven Java Engineer for Low-Latency Cloud Apps

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

Job summary

Goldman Sachs is seeking an ambitious engineer to design, build, and operate high-availability, multi-region cloud services with a strong emphasis on security and observability. You will develop event-driven architectures and optimize data paths for rapid trade lifecycle processing.

You will collaborate across teams, drive modernization, and govern AI agents within production-grade Java microservices, leveraging the firm's AI tooling to accelerate delivery.

Qualifications

• 2+ years of professional Java software development experience.
• Experience with AI-assisted engineering tools and governance of AI agents.
• Experience building event-driven and distributed systems with messaging (e.g., Kafka).
• Strong SDLC practices including CI/CD and test automation.

Responsibilities

• Design, build, and operate high-availability, multi-region cloud services with security and observability.
• Develop event-driven architectures and high-throughput data paths for trade lifecycle management.
• Collaborate with engineers and stakeholders to model business processes and drive modernization.
• Manage the full software lifecycle from requirements to release following robust SDLC and Agile practices.
• Multiply impact with AI-centric toolchains and AI agents to accelerate delivery.
• Create reusable capabilities across front, middle, and back office functions.

Skills

Java 17+

Concurrency

Collections

Modern language features

Tools

Claude Code

GitHub Copilot Agent Mode

Devin

Gemini Code Assist

Job description

Goldman Sachs is seeking an ambitious engineer to design, build, and operate high-availability, multi-region cloud services with a strong emphasis on security and observability. You will develop event-driven architectures and optimize data paths for rapid trade lifecycle processing.

You will collaborate across teams, drive modernization, and govern AI agents within production-grade Java microservices, leveraging the firm's AI tooling to accelerate delivery.