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JP Morgan Services India Pvt Ltd
Senior Lead Software Engineer - Data Engineering
JP Morgan Services India Pvt Ltd
Mumbai•On-site•5-8 Yrs•Jun 26
Job description
Data EngineeringCloud MigrationAI IntegrationFinancial ServicesInvestment BankingData Platform Modernization
Overview
Sr. Lead Software Engineer - Data Engineer at JPMorgan Chase, responsible for designing and delivering trusted market-leading technology products in a secure, stable, and scalable way. Focus on data platform engineering, cloud migration, and AI-assisted development practices.
Responsibilities
- Design, build, and operate database engineering solutions across relational, distributed, and cloud-based data platforms
- Partner with technology and business stakeholders to align technical delivery with business priorities and corporate ROI
- Provide technical direction across global squads and help coordinate delivery across multiple teams and workstreams
- Drive adoption and governance of approved AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes
- Integrate database platforms with enterprise applications, data sources, analytics platforms, and AI-enabled services
- Contribute to architecture review boards, engineering standards, governance practices, and regulatory compliance processes
- Execute software solutions, design, development, and technical troubleshooting
Qualifications
- Formal training or certification on software engineering concepts
- 5+ years applied experience in database engineering, architecture, and data platform modernization
- Proficiency in database querying languages and experience with large-scale data systems
- Experience delivering technology solutions across cloud and data platforms such as AWS, Azure, Snowflake, Databricks, Spark, or Hadoop
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment
- Strong understanding of responsible AI use in engineering workflows including data sensitivity considerations
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Experience working within financial services domains such as investment banking, capital markets, loan systems, risk, analytics, or regulatory compliance
Nice to have
- Familiarity with AI and data platform concepts such as LLM architecture, RAG, LangChain, or LangGraph
- Experience participating in architecture review boards, engineering governance, or capability-building initiatives
- Exposure to regulatory, risk, or control requirements in a financial services environment
- Experience with cloud technologies
Education
- Bachelor's degree in IT/Computing or equivalent work experience