AI-Driven Java Engineer for Low-Latency Finance Systems

ApplyMint; Utah; On-site; USD 150,000 - 210,000; Full time

Job summary

Goldman Sachs seeks an engineer to design, build, and operate high-availability cloud services with AI-driven development practices. You will implement event-driven architectures, collaborate across global teams, and maintain robust SDLC and testing disciplines.

You will navigate large legacy codebases, leverage AI agents, and contribute to trading desk applications with a focus on performance, security, and reliability.

Qualifications

• 2+ years of professional software development in Java (Java 17+).
• Experience with AI-assisted engineering tools and governance of AI agents.
• Hands-on with event-driven and distributed systems including messaging platforms.
• Strong SDLC, CI/CD pipelines, automated build/test/deploy workflows.
• Solid testing: unit, integration, acceptance tests.

Responsibilities

• Design, develop, and operate high-availability, multi-region cloud services.
• Build event-driven pipelines for trading lifecycle management.
• Collaborate with engineers and stakeholders to modernize business processes.
• Manage full lifecycle of software components with robust SDLC practices.
• Advance AI-centric tooling to accelerate code production and delivery.

Skills

Java (Java 17+)

AI-assisted tools

Event-driven systems

SDLC / CI/CD

Testing discipline

Codebase navigation

Communication

Education

Bachelor's degree in CS/CE

Tools

Apache Kafka

Kubernetes

Docker

AWS/GCP

Job description

Goldman Sachs seeks an engineer to design, build, and operate high-availability cloud services with AI-driven development practices. You will implement event-driven architectures, collaborate across global teams, and maintain robust SDLC and testing disciplines.

You will navigate large legacy codebases, leverage AI agents, and contribute to trading desk applications with a focus on performance, security, and reliability.