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Salary
≈ $15k – $41k per year (Estimated)
Location
In office (Mumbai)
Seniority
Senior · 10+ years exp

Confirmed on the employer's own hiring board on Oct 25, 2026. First seen by Alion on Oct 12, 2026. Campbell Global scores A on the Alion truth index.

Overview
Company
Impact
Profile match
Campbell Global brings more than three decades of experience and leadership to sustainable timberland and natural resource investment management.

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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