Lead Software Engineer - Cloud and AI-Assisted Development

JP Morgan Services India Pvt Ltd; Bengaluru; On-site; INR 4,500,000 - 7,000,000; Full time

Job summary

JPMorgan Chase in Bengaluru seeks a Lead Software Engineer to advance Terraform, Python, and Kubernetes-based solutions. You will contribute as a core technical member, delivering secure, scalable products across business functions and driving automation throughout the SDLC with AI-assisted practices.

The role emphasizes production-grade coding, system design, and collaboration with external vendors and internal teams to ensure robust, compliant technology outcomes.

Qualifications

• Formal training or certification in software engineering.
• 5+ years of applied software engineering experience.
• Strong Python development, cloud, and AI/ML tooling skills.
• Proven ability to design, build, test, and operate scalable systems.

Responsibilities

• Executes creative software solutions, design, development, and debugging with scalable thinking.
• Drives enterprise AI-assisted engineering practices to improve code quality and speed.
• Leads architectural evaluation sessions with vendors and internal teams.
• Promotes secure coding, automated testing, and incident/root-cause analysis.

Skills

Python

Terraform

Kubernetes

AWS

CI/CD

Security & compliance

Distributed systems

AI-assisted development

Education

Formal software engineering training

Tools

Terraform

AWS

Docker

Kubernetes

SageMaker

Bedrock

Kafka

Job description

Lead Software Engineer - Terraform, Python, Kubernetes

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 JPMorgan Chase within the Commercial & Investment Bank, Securities Services Technology, 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 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

Required qualifications, capabilities, and skills

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, capabilities, and skills

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