Lead Software Engineer - Agentic AI

JPMorgan Chase JPMorgan Chase · Banking · Hyderabad, Telangana, India · Consumer & Community Banking

Lead Software Engineer role at JPMorgan Chase within the Consumer and Community Banking technology team. The role focuses on enhancing, building, and delivering technology products securely and scalably. Responsibilities include executing software solutions, design, development, technical troubleshooting, writing and debugging production code, identifying automation opportunities, leading vendor evaluations, and driving awareness of new technologies. Requires formal training/certification in software engineering, 5+ years of experience, proficiency in programming, automation, CI/CD, SDLC, agile methodologies, cloud-native experience, and in-depth knowledge of the financial services industry.

What you'd actually do

  1. Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
  2. Develops secure high-quality production code, and reviews and debugs code written by others
  3. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  4. Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  5. Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies

Skills

Required

  • Formal training or certification on software engineering concepts
  • 5+ years applied experience in system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s)
  • 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
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • In-depth knowledge of the financial services industry and their IT systems
  • Practical cloud native experience

What the JD emphasized

  • In-depth knowledge of the financial services industry and their IT systems