Lead Software Engineer - Integration and DevOps

Lead Software Engineer - Integration, DevOps We have an exciting and rewarding opportunity for you to be a part of JPMorgan's Equities Trading Technology group - a highly-skilled, business-aligned team of enthusiastic talent building one of world's leading e-Trading platforms. As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Equities Tech team, you will be part of a team that follows best Agile practices and has developed in-house low-latency connectivity & pre-trade risk applications. These applications are both Client and Exchange facing, and also serve several internal clients. Working within a team of experienced technologists, the role will participate in all aspects of e-trading development from design and build to deployment with a focus on infrastructure, administrative, operational tasks and AI-enabled engineering practices. Job responsibilities Drive the Projects independently with effective stakeholder management. Identify the gaps and provide efficient solutions for - Process Improvements, Project Management, Release Management, Automation Implementation etc. Work across entire software development lifecycle requirements gathering, design, implementation, testing, deployment, handover to support teams. Validation of new functionalities and certifying them from all angles Integration, Functional, Regulatory, E2E etc. Own the Production Release Management Planning, Deployment, Post Release Checkouts, and L3 Production Support etc. 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. Act on Regulatory Needs, Business Requests, Production Requests, Stress Testing etc. with utmost urgency. Able to interface with stakeholder for L3/Dev Support for the product. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems. Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Strong analytical skills, solid understanding of computer science fundamentals and experience in real-time, high performance and/or e-Trading areas Comprehensive knowledge of Unix/Linux commands with proficiency in using a scripting language such as Shell Scripting, Python, Perl etc. Hands-on experience applying AI-assisted techniques to DevOps/SRE tasks 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 Exposure to the Low Latency Trading Platforms and middle/back office systems Advanced understanding of Agile methodologies such as CI/CD, Applicant Resiliency, and Security with hands-on practical experience of using tools like GIT, Jenkins, Maven, Bitbucket, IntelliJ, Jira, Confluence, Change Management etc. Have knowledge about Agentic AI and used Generative AI / LLM environments using different models like GPT, Opus etc. Preferred qualifications, capabilities, and skills Experience in Investment Banking Domain, Front Office Trading Applications The ideal candidate will likely be qualified to degree level in Computer Science, Maths, Physics, or related engineering discipline Good understanding of FIX Protocol and other financial messaging protocols is preferred Experience in automation/test automation and tools Knowledge of programming using C/C++/Java is a big plus Experience Level Senior Level Lead Software Engineer - Integration, DevOps We have an exciting and rewarding opportunity for you to be a part of JPMorgan's Equities Trading Technology group - a highly-skilled, business-aligned team of enthusiastic talent building one of world's leading e-Trading platforms. As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Equities Tech team, you will be part of a team that follows best Agile practices and has developed in-house low-latency connectivity & pre-trade risk app