Lead Software Engineer - Data Platforms, REST APIs, SQL (Telangana)

JPMorganChase; Hyderabad; On-site; INR 2,600,000 - 3,800,000; Full time

Job summary

JPMorgan Chase is seeking a Lead Software Engineer to deliver data-driven governance and reference-data platforms within the Chief Technology Office. You will collaborate in Agile sprint-based teams to build resilient backend services and UI dashboards, creating insightful reports that empower the business.

The role emphasizes REST APIs, SQL, ETL processes, and AI-assisted development practices to improve code quality, delivery speed, and security within enterprise standards.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Experience delivering software in Agile sprint-based teams
• Strong understanding of asset management, technical governance, or reference-data-driven platforms
• Hands-on experience with REST APIs, SQL, and data-intensive application development
• ETL / ingestion and data pipeline thinking, including schema/data handling and cross-system feeds
• Experience building UI dashboards, reports, and insight-oriented features
• Demonstrated experience leading effective use of approved AI-assisted software development tools with the ability to set team expectations for validating AI outputs

Responsibilities

• Deliver software solutions in Agile sprint-based teams
• Build and maintain asset management, technical governance, or reference-data-driven platforms
• Develop and integrate REST APIs, SQL, and data-intensive applications
• Design and implement ETL processes, data pipelines, and cross-system feeds
• Create UI dashboards, reports, and insight-oriented features
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes
• Applies knowledge of tools within the Software Development Life Cycle toolchain to improve automation value
• Develop backend services, workflow logic, and user-facing components
• Apply strong testing, debugging, and production support practices

Job description

Join a dynamic team where your expertise in data-driven platforms and product delivery will drive impactful solutions. Grow your skills and career with us.

As a Lead Software Engineer at JPMorgan Chase within the Chief Technology Office team, you will deliver innovative data and insights products that empower our business. You will work collaboratively in Agile sprint-based teams, building applications that support technical governance and reference data platforms. We value your ability to create user-centric dashboards and reports, as well as resilient backend services. Together, we foster a culture of continuous improvement and support.

Job responsibilities

• Deliver software solutions in Agile sprint-based teams
• Build and maintain asset management, technical governance, or reference-data-driven platforms
• Develop and integrate REST APIs, SQL, and data-intensive applications
• Design and implement ETL processes, data pipelines, and cross-system feeds
• Create UI dashboards, reports, and insight-oriented features
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Develop backend services, workflow logic, and user-facing components
• Apply strong testing, debugging, and production support practices

Required qualifications, capabilities and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Experience delivering software in Agile sprint-based teams
• Strong understanding of asset management, technical governance, or reference-data-driven platforms
• Hands-on experience with REST APIs, SQL, and data-intensive application development
• ETL / ingestion and data pipeline thinking, including schema/data handling and cross-system feedsGenerally noticed that the assistant truncated "
• ETL / ingestion and data pipeline thinking, ..." line incorrectly. Let's fix.},"FormattedDescription": "

  Join a dynamic team where your expertise in data-driven platforms and product delivery will drive impactful solutions. Grow your skills and career with us.

  
  

  As a Lead Software Engineer at JPMorgan Chase within the Chief Technology Office team, you will deliver innovative data and insights products that empower our business. You will work collaboratively in Agile sprint-based teams, building applications that support technical governance and reference data platforms. We value your ability to create user-centric dashboards and reports, as well as resilient backend services. Together, we foster a culture of continuous improvement and support.

  
  

  Job responsibilities

  
  
  
  
  • Deliver software solutions in Agile sprint-based teams
  
  
  • Build and maintain asset management, technical governance, or reference-data-driven platforms
  
  
  • Develop and integrate REST APIs, SQL, and data-intensive applications
  
  
  • Design and implement ETL processes, data pipelines, and cross-system feeds
  
  
  • Create UI dashboards, reports, and insight-oriented features
  
  
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  
  
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  
  
  • Develop backend services, workflow logic, and user-facing components
  
  
  • Apply strong testing, debugging, and production support practices
  
  
  
  

  Required qualifications, capabilities and skills

  
  
  
  
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  
  
  • Experience delivering software in Agile sprint-based teams
  
  
  • Strong understanding of asset management, technical governance, or reference-data-driven platforms
  
  
  • Hands-on experience with REST APIs, SQL, and data-intensive application development
  
  
  • ETL / ingestion and data pipeline thinking, including schema/data handling and cross-system feeds
  
  
  • Experience building UI dashboards, reports, and insight-oriented features
  
  
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  
  
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  
  
  • Ability to build across backend services, workflow logic, and user-facing components
  
  
  • Robust testing, debugging, and production support mindset
  
  
  
  

  Preferred qualifications, capabilities and skills

  
  
  
  
  • AWS and cloud-native platform experience
  
  
  • GenAI / LLM or enterprise search experience
  
  
  • Observability, security, and authentication experience
  
  
  • CI/CD, containerization, and platform modernization experience .
  
  
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