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Salary
≈ $22k – $59k per year (Estimated)
Location
In office (Mumbai)
Seniority
Senior · 10+ years exp

Confirmed on the employer's own hiring board on Oct 12, 2026. First seen by Alion on Oct 12, 2026. JPMorganChase scores A on the Alion truth index.

Overview
Company
Impact
Profile match
JPMorganChase is the largest bank in the United States by assets and one of the most systemically important financial institutions in the world, with a lineage running back through more than a thousand predecessor firms to the 1799 founding of the Bank of the Manhattan Company. It combines a dominant investment bank and markets business with Chase, the largest retail banking franchise in America, plus commercial banking and asset and wealth management. Headquartered in New York, the group is unusual among banks for the scale of its technology spending, running one of the largest engineering organisations of any financial institution and deploying its own internal AI platform across the firm.

Join a dynamic team driving innovation in finance technology world. Advance your career by leading impactful technology solutions.

As a Senior Lead Software Engineer at JPMorgan Chase within the Finance Technology team, you are an integral part of an agile group that delivers trusted, market-leading technology products in a secure, stable, and scalable way. You drive significant business impact through your capabilities and contributions, applying deep technical expertise and problem-solving skills to tackle diverse challenges across multiple technologies and applications. You will help foster a collaborative team culture and support the advancement of technology within the Corporate Technology division.

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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