Compliance Engineering Neon Platform Associate Bengaluru

YOUR IMPACT

Are you passionate about building mission-critical high-quality backend systems that are scalable resilient and distributed by design using modern engineering practices in a dynamic environment

OUR IMPACT

We are Compliance Engineeringa global team of more than 300 engineers and scientists whowork on the most complex mission-critical problems.

We:

• build and operate a suite of platforms and applications that prevent detect and mitigate regulatory and reputational risk across the firm.
• have access to the latest technology andto massive amounts of structured and unstructured data.
• design and build scalable backend services distributed data-processing platforms APIs event-driven systems and operational tooling that power compliance workflows across the firm.

HOW YOU WILL FULFILL YOUR POTENTIAL

As a member of our team you will:

• partner globally with sponsors users and engineering colleagues across multiple divisions to build reliable backend platforms and services
• learn from experts in distributed systems data platforms regulatory technology and production engineering
• design implement and operate backend services using technologies such as Java APIs GraphQL Elasticsearch Kafka Kubernetes relational databases and cloud-native deployment patterns
• build systems that handle large volumes of structured and unstructured data including real-time processing messaging search workflow orchestration and integration across services
• apply strong engineering fundamentals to improve scalability latency throughput reliability observability and fault tolerance
• be able to innovate and incubate new ideas that simplify complex compliance workflows and improve platform resilience
• be involved in the full software lifecycle: defining designing implementing testing deploying monitoring and maintaining backend systems in production.

AIAssisted Engineering & Productivity

In addition you will:

• Effectively use AIassisted 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 rootcause analysis and performance optimization.
• Use AIassisted 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 AIgenerated outputs ensuring correctness security maintainability and regulatory compliance.
• Identify opportunities where AI tooling can reduce manual effort minimize rework and support faster higherquality delivery to production.

QUALIFICATIONS

A successful candidate will possess the followingattributes:

1. A Bachelors or Masters degreein Computer Science Computer Engineering or a similar field of study.
2. 3 years of professional software development experience with strong backend engineering experience.
3. Strong expertise in Java and backend service development including API design concurrency data structures and performance-aware programming.
4. Experience with automated testing SDLC concepts production deployment monitoring incident response and operating reliable software systems.
5. Experience designing scalable and distributed systems including service-to-service communication asynchronous processing caching data persistence and fault-tolerant architectures.
6. Experience building deploying or operating backend services on cloud platforms including cloud-native deployment patterns managed services security considerations and operational best practices.
7. The ability (and tenacity) to clearly express ideas and arguments in meetings and on paper.

Experience in some ofthe following is desired and can set you apart from other candidates:

• Experience building backend platforms microservices distributed systems or data-intensive applications in production environments.
• Strong understanding of system design fundamentals including scalability availability consistency fault tolerance latency throughput and operational trade-offs.
• Hands-on experience with event-driven architectures messaging platforms stream processing or workflow orchestration using technologies such as Kafka or equivalent platforms.
• Experience with relational databases data modeling query optimization transaction management and designing reliable data access patterns.
• Experience with search or analytics platforms such as Elasticsearch OpenSearch or equivalent technologies.
• Practical knowledge of containerized deployments Kubernetes CI/CD pipelines observability logging metrics tracing and production support practices.
• Experience with AWS services such as ECS/EKS Lambda S3 DynamoDB RDS CloudWatch IAM or equivalent AWS-native services for building and operating scalable backend systems.
• Demonstrated experience or strong interest in leveraging AI-assisted developer tools to improve engineering productivity while maintaining high standards for correctness security reliability and maintainability.
• Ability to critically evaluate AI-generated outputs and refine them to production-grade quality.

ABOUT GOLDMAN SACHS

At Goldman Sachs we commit to our people capital and ideas to help our clients shareholders and the communities we serve to grow. Founded in 1869 we are a leading global investment banking securities and investment management firm. Headquartered in New York we maintain offices around the world.

We believe who you are makes you better at what you do. Were committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally from our training and development opportunities and firmwide networks to benefits wellness and personal finance offerings and mindfulness programs. Learn more about our culture benefits and people at committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: The Goldman Sachs Group Inc. 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race color religion sex national origin age veterans status disability or any other characteristic protected by applicable law.