Lead Software Engineer - DevOps AWS

About the role

JPMorgan Chase seeks a Lead Software Engineer - DevOps AWS within the Consumer and Community Banking division in Hyderabad, Telangana, India. The role is a core technical contributor on an agile team, delivering trusted, secure, and scalable technology products across multiple technical areas. Day-to-day work includes designing and developing production code, driving AI-assisted engineering practices, building scalable data pipelines on Databricks, and leading vendor and internal evaluation sessions. The position requires 5+ years of applied experience and formal training or certification in software engineering concepts.

What you’ll do

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical probl
• Develops secure and 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 re
• 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 a
• 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 exist
• Develop scalable feature engineering and data pipelines on Databricks (Spark/Delta, workflows/jobs) using data from the data lake

What you’ll bring

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., coding, code review, test acceleration, troubleshooting) with ability to set team expectations f
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience co
• Proficient in all aspects of the Software Development Life Cycle
• Strong Python/Java and experience with distributed data processing
• Hands on AWS services like Glue, ECS, EKS, API Gateway, S3, Lambda, EMR; strong AWS networking and security fundamentals
• Hands on DevOps: Kubernetes, Docker, CI/CD, Spinnaker; deployment automation and release management; Hands on Databricks: Spark, Delta, GraphQL, notebooks, workflows/jobs, performance tuning

Nice to have

• Experience of communicating and engaging with senior leadership/stakeholders
• Preferred AWS - streaming and batch application building and supporting end to end
• Familiarity with API and Micro services frameworks, Container Technologies, and workflows

Skills

Education

Formal training or certification on software engineering concepts