The Core Engineering-L2-Bengaluru-Vice President-Software Engineering
Goldman Sachs · Posted Nov 6
Investment banking, securities, asset management, and wealth management services
Get a personal compatibility score
Add a resume for personal matches
About the role
The Core Engineering organization at Goldman Sachs builds and operates the platforms, applications, data solutions, models, and analytics that power critical processes for the firm's Risk, Controllers, Compliance, Corporate Treasury, and Human Capital Management divisions, leveraging cloud, AI, and machine learning. Within Metrics & Analytics Platforms, the Financial Metrics Data Engineering team builds data solutions for the measurement and management of the firm's risk, capital, and liquidity. This role delivers metric-specific enriched data products, builds scalable platforms and common data models for limit management and resource allocation, and contributes to a next-generation AI-driven, cloud-first architecture.
What you will do
- Deliver metric-specific enriched data products for calculations and ontologies to enable agentic metric explainability and insights.
- Build efficient platforms and common data models for limit management and resource allocation.
- Build Scalable Data Solutions: Build scalable, high-performance data solutions for all teams across the metrics platform.
- Standardize Strategic Data Flows: Work with teams across the firm to build strategic data pipelines, establishing a standard, consistent architecture across different metrics and calculations within the metrics platform organization.
- Implement Next-Generation Architecture: Contribute to the design and execution of our next-generation architecture with an AI-driven, cloud-first mindset—ensuring maximum resiliency, scalability, and alignment with the firm’s long-term strategic growth.
- Adhere to Engineering Excellence: Follow modern SDLC practices, write robust unit tests, and participate in active code reviews to maintain high code quality.
Skills used in this role
What the employer is looking for
- 10+ years of hands-on data engineering experience building, modeling, and scaling enterprise-level, business-critical systems.
- Strong proficiency in SQL and relational/non-relational database design.
- Strong hands-on experience with backend technologies such as Java, Spring Boot, and Python.
- Strong experience working with modern, scalable SDLC practices (CI/CD, automated testing, version control, and code reviews).
- Hands-on experience with cloud technologies, preferably AWS, and building high-availability patterns.
- Experience implementing or integrating AI-enabled tools, LLM-based platforms, or automated agentic solutions.
- Exceptional analytical, debugging, and problem-solving skills.
- A strong appetite and openness to dive into proprietary systems, understand their inner workings, and strategically uplift them.
- Strong communication and interpersonal skills, with the ability to collaborate effectively with both technical and non-technical stakeholders.
- Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
Preferred qualifications
- Familiarity with financial data.
- Experience with distributed data processing frameworks (e.g., Apache Spark, Flink) or modern cloud data warehouses.
Benefits and support
- Training and development opportunities
- 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
Recent coverage
Goldman Sachs Newsroom
Goldman Sachs Commits $500 Million to Launch Small Business AI Institute and Expand 10,000 Small BusinessesOctober 22, 2026
Goldman Sachs Newsroom
Goldman Sachs Reports 2026 Third Quarter Earnings Per Common Share of $17.01October 13, 2026
Bloomberg / Market Reports
Goldman Sachs Limits Advanced AI Coding Tools to Engineers Following Productivity ReviewNovember 03, 2026