The Core Engineering - KYC Model Eng - Associate - Bengaluru
Goldman Sachs · Posted Nov 5
Investment banking, securities, asset management, and wealth management services
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About the role
The Core Engineering is a global team of more than 300 engineers and scientists building and operating platforms and applications that prevent, detect, and mitigate regulatory and reputational risk across Goldman Sachs. The team works with modern frameworks, large structured and unstructured data sets, and front-end and Big Data applications. This role partners with sponsors, users, and engineering colleagues globally to deliver end-to-end software across the full life cycle, leveraging technologies such as Java, React, GraphQL, Kafka, and Kubernetes along with AI-assisted development tooling.
What you will do
- partner globally with sponsors, users and engineering colleagues across multiple divisions to create end-to-end solutions,
- learn from experts
- leverage various technologies depending on the team including Java, JavaScript, TypeScript, React, APIs, GraphQL, Elastic Search, Kafka, Kubernetes
- be able to innovate and incubate new ideas
- have an opportunity to work on a broad range of problems, often dealing with large data sets, including real-time processing, messaging, workflow and UI/UX
- be involved in the full life cycle; defining, designing, implementing, testing, deploying, and maintaining software across our products.
- Effectively use AI‑assisted software development tools (e.g., GitHub Copilot, Devin, Claude Code, or equivalent) to improve developer productivity and reduce development cycle time.
- Apply AI tools to accelerate:
- code generation and refactoring,
- test creation and coverage improvement,
- debugging, root‑cause analysis, and performance optimization.
- Use AI‑assisted reasoning to understand complex codebases, rapidly prototype solutions, and improve code quality while maintaining strong engineering standards.
- Partner with peers and reviewers to validate, harden, and productionize AI‑generated outputs, ensuring correctness, security, maintainability, and regulatory compliance.
- Identify opportunities where AI tooling can reduce manual effort, minimize rework, and support faster, higher‑quality delivery to production.
Skills used in this role
What the employer is looking for
- A Bachelor's or Master's degree in Computer Science, Computer Engineering, or a similar field of study.
- 1+ years professional software development experience
- Expertise in Java development.
- Experience in automated testing and SDLC concepts.
- The ability (and tenacity) to clearly express ideas and arguments in meetings and on paper.
Preferred qualifications
- Demonstrated experience or a strong interest in leveraging AI-assisted developer tools to enhance engineering productivity and accelerate software delivery.
- Ability to critically evaluate AI‑generated outputs and enhance them to production‑grade quality.
- Proven ability to critically evaluate AI-generated outputs and refine them to meet production-grade standards of quality, reliability, and maintainability.
- Hands-on proficiency with AI coding assistants such as GitHub Copilot, Claude Code, and Devin to expedite code authoring, refactoring, and debugging across all phases of the Software Development Life Cycle (SDLC).
- Effective utilization of AI pair-programming tools to generate boilerplate code, unit tests, and technical documentation, enabling greater focus on architectural design and complex problem-solving.
- Application of established prompt engineering best practices to elicit high-quality, context-aware code recommendations and reduce iteration cycles during development.
- Practical integration of autonomous AI agents (e.g., Devin) for routine engineering tasks, including bug triage, dependency upgrades, and minor feature implementations, thereby freeing engineering bandwidth for higher-impact initiatives.
- Adoption of AI-driven code review tools to proactively identify defects, security vulnerabilities, and performance bottlenecks earlier in the development cycle, strengthening overall quality gates.
- Experience with:
- UI/UX development
- API design, such as to create interconnected services
- message buses or real time processing
- relational databases
- knowledge of the financial industry and compliance or risk functions
- influencing and collaborating with stakeholders.
Benefits and support
- Training and development opportunities
- Firmwide networks
- Wellness and personal finance offerings
- Mindfulness programs
About Goldman Sachs
The Goldman Sachs Group, Inc. is a leading global financial institution that delivers a broad range of financial services across investment banking, securities, investment management, and consumer banking to a diverse client base. Established in 1869 and headquartered in New York City, the firm serves corporations, financial institutions, governments, and high-net-worth individuals worldwide.
- Industry
- Investment Banking
- Company size
- 47400+ employees
- Founded
- 1869
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
President and Chief Operating Officer
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