We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Lead Software Engineer at JPMorganChase within the Commercial & Investment Bank - Digital & Platform Services, you provide technical leadership and strategic direction for one or more agile teams delivering trusted, market-leading technology products in a secure, stable, and scalable way. You drive architectural decisions, set engineering standards, and mentor engineers while remaining hands-on with critical technology solutions that support 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 break down technical problems
- Develops secure 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.
Leads technical design and architecture for complex, cross-functional systems, establishing patterns and standards that teams adopt at scale; Drives software solutions from concept through delivery, resolving ambiguous and novel technical challenges that span multiple domains and business functions
Architects secure, high-quality production systems and oversees algorithmic design ensuring performance, reliability, and maintainability across distributed environments; Champions and governs the adoption of enterprise-authorized AI coding tools across the team; defines best practices for AI-assisted development (code generation, refactoring, test automation, documentation), establishes validation frameworks through peer review and automated testing, and drives measurable improvements in delivery velocity and code quality
Shapes the team's SDLC toolchain strategy, identifying and implementing AI-assisted development and automation capabilities that maximize engineering throughput and reduce toil
Owns architecture and design artifacts for complex, enterprise-scale applications; ensures design constraints, non-functional requirements, and security standards are met across all team deliverables; Synthesizes insights from large, diverse data sets to drive continuous improvement in system architecture, application performance, and engineering processes; presents findings and recommendations to senior leadership
Identifies systemic technical debt, hidden failure patterns, and architectural risks; develops and prioritizes remediation roadmaps that improve coding hygiene and platform resilience
Mentors and coaches engineers at all levels, conducting design reviews, driving technical upskilling, and fostering a culture of engineering excellence
Leads software engineering communities of practice; evaluates emerging technologies and makes build/buy/adopt recommendations to engineering leadership; Partners with product owners, architects, and business stakeholders to translate business strategy into technical roadmaps and execution plans
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
- 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
- Proven track record of leading AI-assisted software development adoption within engineering teams, including establishing governance frameworks, validation standards, and reusable patterns; demonstrated ability to critically evaluate AI-generated outputs for correctness, performance, security, and architectural fit; Deep understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to define team-wide policies and coach engineers on safe and effective AI tool usage
- Expert-level IBM iSeries (AS/400) development experience; DB2 for i — files, views, indexes, triggers, stored procedures, performance optimization, and capacity planning
- LANSA / Visual LANSA IDE development with experience leading LANSA upgrade planning, execution, and migration strategies across environments; IBM MQ and CDC Replication (InfoSphere CDC / IIDR or equivalent) — architecture, implementation, and troubleshooting at scale
- Java & Python on IBM i (PASE environment) with the ability to define integration patterns and coach team members
- Advanced debugging and root cause analysis — STRDBG, STRISDB, Service Entry Points, job logs, Visual Explain, remote Java/Python debug; ability to lead production incident triage
- Sustained resiliency & maintenance leadership — HA/DR strategy and failover testing, PTF management, performance tuning, and technical debt remediation roadmaps
- Git version control (Bitbucket/GitHub), Aldon LMI, Robot Scheduling, ServiceNow — with experience defining branching strategies and release workflows; AI-powered tools — GitHub Copilot, ChatGPT, Claude agents; advanced prompt engineering for legacy code analysis, modernization assessment, and documentation generation
Preferred qualifications, capabilities, and skills
- Expert proficiency in CLP, CLLE, RPGLE, SQLRPGLE, LANSA, Visual LANSA IDE development (free-format preferred) with demonstrated ability to set coding standards and conduct architecture reviews
- Deep knowledge of ILE concepts, service programs, and modular application design; experience leading modernization efforts including web services (REST/SOAP) from IBM i or Python/Java
- Mastery of data areas, data queues, and inter-process communication on IBM i; experience designing event-driven and asynchronous processing architectures
- Familiarity with IBM i Access Client Solutions (ACS), Navigator, and IBM Rational Developer for i (RDi) or VS Code with Code for IBM i extension — with ability to standardize team development environments;
- Hands-on experience with HA/DR tools (e.g., MIMIX, iTera, Quick-EDD, or IBM PowerHA) including DR runbook ownership and failover drill execution; ITIL foundation knowledge for service management and change advisory processes; experience representing engineering in CAB reviews
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
JPMorganChase San Francisco, California, USA Office
San Francisco, CA, United States
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