Lead Software Engineer - DevOps

Lead Software Engineer - DevOps role at JPMorganChase focuses on latency-sensitive real-time services, production reliability, and AI-assisted engineering across the software lifecycle.

Responsibilities

• Coordinate releases across environments (UAT to production), ensuring readiness checks, clear change documentation, stakeholder communication, and robust rollback plans.
• Own the production reliability and latency for algo and execution services, including post-trading hours releases, operational readiness, and market-hours support posture.
• Champion the use of enterprise-approved AI-assisted engineering tools to improve code quality, delivery speed, and operational outcomes; establish validation standards for secure coding, peer review, and automated testing; promote reuse of effective patterns across the team.
• Leverage the SDLC toolchain and AI-assisted development and automation capabilities to maximize automation value.
• Design and implement innovative software solutions, perform technical troubleshooting, and tackle problems beyond routine approaches.
• Provision and manage UAT environments on on-prem hosts; support uptime, deployments, environment triage, and release readiness in coordination with partner teams.
• Strengthen CI/CD and release engineering for Java services with automated builds, disciplined artifact/versioning, environment promotions, gated releases, and rapid rollback capabilities.
• Collaborate with infrastructure and networking teams on Linux and network performance to influence latency, jitter, and overall stability.
• Lead incident management with rapid triage, root-cause analysis, and permanent remediation to reduce recurrence and MTTR.
• Design for high availability and disaster recovery, perform failover testing, isolate dependencies, and plan capacity.
• Identify opportunities to automate remediation of recurring issues to improve operational stability; lead communities of practice to promote new technologies across Software Engineering.
• Foster a culture of diversity, opportunity, inclusion, and respect within the team.

Requirements

• Formal training or certification in software engineering with 5+ years of applied experience.
• Hands-on experience delivering system design, application development, testing, and operational stability.
• Advanced development skills in Python, Java, or equivalent languages.
• Proven ability to lead the effective use of approved AI-assisted software development tools, with expectations for validating AI outputs in terms of correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, resiliency, and security; experience coaching engineers on safe, compliant adoption.
• Proficiency across all aspects of the Software Development Life Cycle.
• Familiarity with AI-assisted development tools and the ability to critically evaluate their outputs.
• Advanced understanding of agile practices including CI/CD, application resiliency, and security.
• Proven expertise in software applications and technical processes within a discipline such as cloud, artificial intelligence, machine learning, or mobile.
• Track record in observability (metrics/logs/traces), alert design, and SLO-driven reliability.
• Deep knowledge of the financial services industry and its IT systems.
• Strong troubleshooting across application, operating system, and network layers; comfortable with incident response and postmortems.

Technologies

• Python
• Java
• Linux

Benefits

• Base salary
• Commission-based pay and/or discretionary incentive compensation
• Cash and/or forfeitable equity
• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching

Preferred Qualifications, Capabilities, and Skills

• Practical cloud native experience
• Experience with high-throughput and/or low-latency systems
• Proven track record with observability (metrics/logs/traces), alert design, and SLO-driven reliability practices
• Experience designing for non-functional requirements (resiliency, scalability, supportability) and driving those into implementation

About JPMorganChase

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

About the Team

J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.