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JPMorganChase

Lead Software Engineer - Java & AWS

Reposted 4 Days Ago
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Hybrid
Bengaluru, Bengaluru Urban, Karnataka, IND
Senior level
Hybrid
Bengaluru, Bengaluru Urban, Karnataka, IND
Senior level
Lead technical design, develop secure high-quality production code, drive AI-assisted engineering practices, automate remediation, evaluate vendor architectures, lead communities of practice, and coach teams on observability and responsible AI use.
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We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase within the Consumer & Community Banking Technology Team, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
 

Job responsibilities

  • 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
  • Develops secure high-quality production code, and reviews and debugs code written by others
  • 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.

  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • 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
  • Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
  • Adds to team culture of diversity, opportunity, inclusion, and respect

Required qualifications, capabilities, and skills 

  • Formal training or certification on software engineering concepts and 5+ years applied experience in system design, application development, testing, and operational stability 
  • Core Skills - Java/J2EE, Spring Boot, Microservice architecture, AWS, Terraform, Github, Copilot, Jenkins, Data Science, Graph SQL
  • Databases: Proficiency with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., DynamoDB, Redis, Cassandra) and Graph SQL.
  • Containerization: Experience with Docker and container orchestration (ECS, EKS, or Kubernetes). 
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages 
  • 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

  • Demonstrable ability to code in one or more languages 


  • Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) 
  • Demonstrated expertise with monitoring/observability tools (e.g., Splunk, Datadog, Dynatrace, CloudWatch) and proven capability to lead high-performing teams—driving innovation, maintaining strong team health, and owning the end-to-end team performance cycle.



Preferred qualifications, capabilities, and skills 

  • Familiarity with modern front-end technologies 
  • AWS Certification (e.g., Solutions Architect – Associate/Professional, Developer – Associate). 
  • Exposure to cloud technologies 

JPMorganChase Bengaluru, Karnataka, IND Office

Devarabeesanahalli, Bellandur, Outer Ring Road, Bengaluru, Karnataka, India, 560103

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