The Core Engineering - Search & Entity Model Eng - Associate - Bengaluru
Goldman Sachs · Posted Oct 13
Investment banking, securities, asset management, and wealth management services
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About the role
Compliance Engineering is a global team of engineers and scientists working on mission-critical problems at the intersection of regulatory technology, scalable platforms, data, and AI, building and operating platforms and applications that prevent, detect, and mitigate regulatory and reputational risk across the firm. The firm is investing to uplift and rebuild the Compliance application portfolio, focused on scalable backend platforms, data-intensive systems, and AI-enabled capabilities. This role will design, implement, and operate backend services and distributed data-processing systems using Java, APIs, GraphQL, Elasticsearch, Kafka, Kubernetes, relational databases, and cloud-native deployment patterns, while also applying AI-assisted development tools to improve engineering productivity.
What you will do
- 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.
- 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.
- 3+ years of professional software development experience, with strong backend engineering experience.
- Strong expertise in Java and backend service development, including API design, concurrency, data structures, and performance-aware programming.
- Experience with automated testing, SDLC concepts, production deployment, monitoring, incident response, and operating reliable software systems.
- Experience designing scalable and distributed systems, including service-to-service communication, asynchronous processing, caching, data persistence, and fault-tolerant architectures.
- Experience building, deploying, or operating backend services on cloud platforms, including cloud-native deployment patterns, managed services, security considerations, and operational best practices.
- The ability (and tenacity) to clearly express ideas and arguments in meetings and on paper.
Preferred qualifications
- 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.
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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