Lead Software Engineer- Linux

JPMorgan Chase & Co.; Bengaluru; On-site; INR 1,800,000 - 3,800,000; Full time

Job summary

JPMorgan Chase & Co. in Bengaluru is seeking a Lead Software Engineer for the Infrastructure Platforms team to advance trusted, scalable technology products. You will be a core technical contributor across on‑prem and cloud environments, focusing on automation and modernization.

As a lead, you will design, develop, and deploy REST APIs and microservices, drive AI-assisted engineering practices, and guide teams to secure, resilient operations while aligning with enterprise standards.

Qualifications

• Formal training or certification on software engineering concepts.
• Hands-on experience delivering system design, development, testing, and stability.
• Experience with Linux OS configuration, hardening, kernel tuning and package management.
• Proficiency in cloud, hybrid and virtualized infrastructure.
• Design and implement automation using Ansible and Terraform.
• Experience with containers and Kubernetes orchestration.
• Python for automation, with CI/CD and version control.
• Experience with Windows Server in cross-platform environments.
• REST APIs/microservices development experience.
• Experience with AI-assisted software development tools and secure coding.

Responsibilities

• Execute creative software solutions and troubleshoot complex problems.
• Test and certify OS images; automate end-to-end deployment across clouds.
• Develop and maintain standard OS images for servers, desktops, GPUs, and containers.
• Host and manage software distribution across clouds, including RPMs.
• Automate provisioning of Linux desktops and optimize the deployment pipeline for RPMs.
• Design, develop and integrate REST APIs/microservices.
• Champion AI-assisted engineering practices to improve quality and speed.
• Promote secure coding and standardized validation across the team.

Skills

Linux infrastructure

Cloud & hybrid infra

Ansible automation

Kubernetes

Python

REST APIs/microservices

CI/CD

AI-assisted engineering

Education

Software engineering certification

Tools

Ansible Core

Kubernetes

Terraform

Jenkins

Job description

• Locations Parcel 9, Embassy Tech Village, Outer Ring Road, Deverabeesanhalli Village, Varthur Hobli, Bengaluru, IN-KA, 560103, IN
• Apply Before 09/30/2026, 04:00 AM
• Job Schedule Full time

Job Description

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 Infrastructure Platforms 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, youexhibit both depth and breadth of knowledge regarding software, applications, and technical processes across multiple technical disciplines. You also have a specialization in a specific domain within infrastructure engineering to drive programs or initiatives consisting of multiple technologies and applications.
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
• Test and certify new Red Hat operating systems using AI, create multiple image formats, and deliver end-to-end automation using Ansible, Terraform, Jenkins, Bash, and Python.
• Build and maintain a firmwide Standard Operating Environment by creating standard OS images for virtual/physical servers, desktops, GPUs, and containers across on-prem and external clouds.
• Provide services to host and manage software distribution (primarily RPMs) across all clouds, including testing and deployment to production.
• Automate provisioning of Linux desktops for developers and streamline the testing and promotion pipeline for RPM packages.
• Address complex technical issues, and design/develop integration components and REST APIs/microservices.
• Drive adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards.
• 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.
• 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.

Required qualifications, capabilities, and skills

• 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
• Demonstrate strong Linux infrastructure development expertise (OS configuration, system hardening, kernel tuning, package management) across on-prem and cloud environments.
• Show experience in cloud, hybrid, and virtualized infrastructure, and proficiency with modern software languages.
• Design and implement infrastructure automation using Ansible Core or Ansible Automation Platform (playbooks, workflows, reusable roles/modules).
• Apply hands-on experience with containers and Kubernetes-based orchestration, deploying and managing workloads in enterprise environments.
• Use Python to build and maintain automation solutions, including working knowledge of CI/CD pipelines, source control, and build automation tools.
• Support cross-platform infrastructure solutions with experience on Windows Server operating systems.
• Build REST API–based microservices, and provide feedback on Ansible design, architecture, and deployment processes.
• 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 practice

Preferred qualifications, capabilities, and skills

• Leverage knowledge of content delivery and repository management systems (e.g., Red Hat Satellite, Pulp, JFrog Artifactory) to manage software distribution and patch lifecycle.
• Build or contribute to AI agents/skills and agentic workflows that integrate large language models into infrastructure tooling.
• Apply knowledge of Citrix virtualization infrastructure to support enterprise platform needs.
• Initiate and implement ideas to solve business problems and drive innovative solutions.