Asset & Wealth Management - PWM Advisor and PM Engineering - Associate - Bengaluru at Goldman Sachs

What We Do

At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.

Role Overview: A mid-level technical role focused on the execution, implementation, and maintenance of robust server-side logic. The Associate is responsible for writing high-quality code, participating in the full SDLC, and leveraging AI tools to enhance development velocity.

Job Responsibilities

• Design, develop, and maintain scalable backend services using Java 11+, Spring Boot, and Microservices architecture.
• Build and optimize data access layers using both relational (SQL) and non-relational (MongoDB) databases, ensuring data integrity and performance.
• Create and maintain secure RESTful APIs and integrate with frontend applications (Angular/React/TypeScript) to deliver seamless user experiences.
• Utilize AI coding assistants (e.g., Copilot, Devin, Claude Code) to accelerate boilerplate generation, refactoring, and automated unit test creation (Jest/JUnit).
• Conduct thorough testing, including unit and integration tests, adhering to Test-Driven Development (TDD) principles to ensure system reliability.
• Troubleshoot and debug production issues, providing timely resolutions and contributing to the stability of wealth management platforms.

Basic Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 2–4 years of professional experience in Java-based backend development.
• Strong proficiency in Java 8+, Spring Boot, and Microservices patterns.
• Hands-on experience with version control (Git) and build tools (Maven/Gradle).
• Familiarity with Linux/Unix environments and basic shell scripting.

Preferred Qualifications

• Experience using AI tools to improve code quality and development efficiency.
• Basic knowledge of Angular, TypeScript, and state management (Ng Rx).
• Familiarity with Docker, Kubernetes, and CI/CD pipelines (Jenkins/GitLab CI).
• Experience with Kafka or similar event-driven messaging technologies.

Goldman Sachs Engineering Culture

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. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here!

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Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.