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Lead Software Engineer - Terraform, Python, Kubernetes

JPMorgan Chase · Posted Oct 30

Global banking, investment, credit card, mortgage, and asset management services

Bengaluru, Bengaluru, Karnataka, IndiaFull-timeOnsiteLead/Staff5+ years₹35.0L–₹50.0L yearly40 applicants
BankingFinancial ServicesInvestment BankingAsset ManagementCredit CardsPaymentsPublic Company
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About the role

The Commercial & Investment Bank's Securities Services Technology group builds and delivers technology products in a secure, stable, and scalable way, with engineers working in agile teams across multiple business functions. The role is a core technical contributor position focused on cloud-based application development, automation, and AI-assisted engineering practices using Python, AWS, Terraform, and Kubernetes. The Lead Software Engineer also drives architecture evaluations with vendors and internal teams and improves operational stability of applications and systems.

What you will 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 problems
  • 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 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

Skills used in this role

What the employer is looking for

  • Formal training or certification on software engineering concepts and 5+ years applied experience.
  • Extensive experience in building and running AWS/public cloud based applications
  • Solid programming skills with Python
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Proficiency in automation and continuous delivery methods and all aspects of the Software Development Life Cycle
  • Experience of pipelines and DAG's (Directed Acyclic graph) for processing data and/or machine learning
  • Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence and machine learning.)
  • In-depth knowledge of the financial services industry and their IT system.
  • 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.

Preferred qualifications

  • Experience with Cloud services, Infrastructure as Code (IaC) and containerized application development
  • Familiarity with relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and Bedrock
  • Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps and Large Language Model Operations (LLMOps)
  • Experience working on AIML systems and/or prior experience collaborating with data scientists

Benefits and support

  • Compensation and benefits are detailed in the job posting

About JPMorgan Chase

JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.

Industry
Banking
Company size
320000+ employees
Founded
1799
Location
New York, New York, USA
Funding stage
Public Company
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