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Sr Lead Software Engineering - Java, AWS, React

JPMorgan Chase
Bengaluru, IND
Full-time
Senior · 10+ years experience
Onsite
Discovered Today
JavaReact JSSpring BootAWS ECSTerraformCopilot

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Job responsibilities

  • Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine approaches to build solutions or break down technical problems
  • Develop secure, high-quality production code, and review and debug code written by others Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability of software applications and systems
  • Lead evaluation sessions with external vendors, startups, and internal teams to probe architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Set and scale operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establish measurable expectations and ensure consistent validation, security, resiliency, and reuse of proven patterns
  • Apply knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets

Required qualifications, capabilities and skills

  • Formal training or certification on software engineering concepts and 10+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in Java, React JS, and Spring Boot Framework
  • Experience in AWS ECS, EKS, and Terraform
  • Demonstrated proficiency in development using agentic development tools, Copilot, and Claude Code
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning)
  • Proficiency in automation and continuous delivery methods
  • Proficient in all aspects of the Software Development Life Cycle
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working, measuring outcomes, and ensuring secure handling of sensitive inputs/outputs
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns
  • Preferred qualifications, capabilities and skills
  • Familiarity with Databricks
  • Exposure to cloud technologies
  • Experience with Typescript
  • Knowledge on API / Microservices

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