As a Senior Lead Software Engineer at JPMorganChase within the Infrastructure Platform AI Automation Mainframe and Midrange 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
- Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
- Lead the design and delivery of AI-enabled capabilities for Mainframe and Midrange systems management, focusing on intelligent automation that improves stability, efficiency, and operator experience.
- Translate the Advanced Capabilities Engineering tower strategy into executable technical plans, epics, and implementation roadmaps for assigned initiatives.
- Architect, build, and maintain agentic AI solutions that automate manual or repetitive infrastructure management tasks, ensuring solutions are secure, auditable, and production-grade.
- Own end-to-end engineering delivery for features/services you lead: requirements clarification, solution design, build, testing strategy, rollout, monitoring, and operational readiness.
- Partner with operations, SRE, architecture, risk, and control functions to ensure AI capabilities are implemented safely, transparently, and in alignment with policies and regulatory expectations.
- Establish and follow strong engineering standards (design reviews, coding practices, CI/CD, documentation, observability, and incident readiness), and help uplift consistency across the team.
- Drive reliability outcomes by ensuring solutions meet resiliency, scalability, performance, and security objectives—enhancing service reliability and operational effectiveness without introducing unmanaged risk.
- Contribute to tooling strategy and vendor/product evaluations by prototyping, performing technical due diligence, and recommending fit-for-purpose approaches for Mainframe/Midrange automation.
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Provide clear technical communication to stakeholders: design rationale, tradeoffs, delivery status, risks/issues, and recommended mitigations.
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
- Ability to tackle design and functionality problems independently with little to no oversight
- 10+ years of hands-on software engineering experience delivering enterprise-grade systems (design, build, test, deploy, operate).
- Strong experience building automation platforms/services and integrating with infrastructure operations workflows; experience with AI-assisted automation and/or decision-driven systems is required.
- Experience designing and delivering production solutions with strong non-functional requirements (resiliency, scalability, performance, security, and operational excellence).
- Working knowledge of risk and control considerations in enterprise technology (e.g., SDLC controls, change management, access controls, auditability, data handling).
- Proven ability to lead technical delivery in a matrixed organization: influencing partners, unblocking execution, and driving outcomes across multiple teams/functions.
- Strong engineering fundamentals: API/service design, distributed systems concepts, data modeling, testing strategy, CI/CD, and observability (logs/metrics/traces).
- Experience mentoring and guiding other engineers via code reviews, design reviews, and technical feedback.
- Knowledge of Mainframe and Midrange automation, operational tooling, and platform management practices
- Exposure to agentic AI patterns and controls (human-in-the-loop design, guardrails, prompt/tool governance, evaluation/monitoring) in production contexts
- Track record partnering with SRE and operations teams on reliability engineering and operational efficiency improvements (e.g., toil reduction, incident automation, runbook modernization)
- Experience building integrations across heterogeneous infrastructure ecosystems (e.g., job schedulers, monitoring/alerting, ticketing workflows, configuration systems)
- Experience in financial services or similarly regulated industries, with understanding of governance, controls, and audit expectations
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
Skills Required
- Formal training or certification in software engineering concepts
- At least 5 years of applied software engineering experience
- At least 10 years of hands-on software engineering experience delivering enterprise-grade systems
- Experience leading enterprise-authorized AI-assisted software development tools and validating AI outputs for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, and security expectations
- Ability to solve design and functionality problems independently with little to no oversight
- Experience building automation platforms or services integrated with infrastructure operations workflows
- Experience with AI-assisted automation or decision-driven systems
- Experience delivering production solutions with resiliency, scalability, performance, security, and operational excellence requirements
- Knowledge of enterprise technology risk and controls, including SDLC controls, change management, access controls, auditability, and data handling
- Ability to lead technical delivery across multiple teams and functions in a matrixed organization
- Strong engineering fundamentals in API/service design, distributed systems, data modeling, testing, CI/CD, and observability
- Experience mentoring and guiding engineers through code reviews, design reviews, and technical feedback
- Knowledge of mainframe and midrange automation, operational tooling, and platform management
- Experience with agentic AI patterns and controls, including human-in-the-loop design, guardrails, prompt/tool governance, and evaluation or monitoring
- Experience partnering with SRE and operations teams on reliability engineering and operational efficiency improvements
- Experience integrating heterogeneous infrastructure ecosystems, such as schedulers, monitoring, ticketing, and configuration systems
- Experience in financial services or similarly regulated industries
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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