Build and operate the AI toolchain that is accelerating mainframe modernization at scale.
As an Sr Lead Software Engineer within Core Processing, Wealth Management Technology, you will design, build, and ship the agentic systems that ingest decades of mainframe logic and produce verified, production-ready modern services. You work directly alongside domain SMEs and the ED lead to turn legacy COBOL, JCL, DB2, and batch schedules into structured specifications — then drive those specs through agent-accelerated delivery into the target platform. You are a builder first: comfortable architecting multi-agent orchestration one day and debugging a prompt chain against production edge cases the next. You have deep proficiency extending and operating coding agents (Claude Code, Codex, Copilot), and you bring the engineering rigor to make AI outputs reliable at enterprise scale. You thrive on hard problems, move fast, and care deeply about shipping software that works.
Job Responsibilities
- Builds and operates the spec generation pipeline — Implement artifact ingestion (COBOL source, JCL, job schedules, DB2 schemas, SME-captured knowledge), chunking strategies, and RAG pipelines that produce structured calculation and workflow specifications validated by domain experts.
- Develops agentic workflows for code translation and migration — Design, implement, and iterate on multi-agent systems that translate legacy logic into target-state code (Kotlin/JVM). Build orchestration layers, tool-use patterns, and guardrails that ensure output correctness for financial calculations.
- Builds evaluation and verification infrastructure — Create automated test harnesses that compare migrated calculation outputs against legacy results. Implement parity testing frameworks, regression suites, and confidence scoring to gate production cutover decisions.
- Contributes to the standard calculation runtime — Help build and extend the target platform that migrated calculations deploy into. Ensure the runtime supports deterministic, immutable, auditable execution.
- Partners with domain SMEs — Embed with mainframe subject-matter experts across Credit, Money Market & Mutual Funds, Statements & Tax, and IBOR to validate agent outputs, refine prompt strategies, and close knowledge gaps in specifications.
- Extends ETL and CDC pipelines for agent workflows — Build and integrate event sourcing, CDC (change data capture), and data pipelines that support end-to-end migrated workflows, including upstream/downstream dependency mapping.
- Operates AI systems in production — Own LLMOps for the toolchain: deployment, monitoring, cost management, latency optimization, token budget management, and incident response. Ensure reliability and compliance for 24/7 operation.
- Iterates rapidly and ships continuously — Work in tight build-measure-learn cycles. Prototype quickly, instrument everything, and make data-driven decisions about agent architectures, model selection, and prompt strategies.
Contributes to shared tooling and infrastructure — Build reusable libraries, evaluation harnesses, prompt templates, and orchestration patterns that scale AI capabilities across all four core processing domains.
Required Qualifications, Capabilities, and Skills
- 5+ years of software engineering experience shipping production systems
- 2+ years of hands-on experience building LLM-based applications — agentic architectures, RAG pipelines, prompt engineering, and evaluation frameworks
- Strong software engineering fundamentals: distributed systems, event-driven architectures, API design, testing practices, and cloud platforms (AWS/EKS/ECS)
- Expert proficiency with AI-assisted development tools (Claude Code, GitHub Copilot, Cursor) as core daily workflow
- Experience with at least one of: Kotlin/JVM(Java), Python, Rust in production environments
- Demonstrated ability to operate and debug complex systems
- Clear communicator who can articulate technical trade-offs to both engineers and business stakeholders
- Experience with code migration.
Preferred Qualifications, Capabilities, and Skills
- Experience with legacy systems, mainframe technologies (COBOL, JCL, DB2), or large-scale migration programs
- Familiarity with workflow orchestration (Temporal, Airflow) and event sourcing / CDC patterns
- Experience with Kafka, PostgreSQL, and container orchestration (Kubernetes/EKS)
- Background in financial services, wealth management, brokerage, or capital markets processing
- Experience building code analysis, translation, or verification tooling
- Masters in Computer Science or equivalent experience
Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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.
Equal Opportunity Employer/Disability/Veterans
About the TeamOur Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We’re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.Skills Required
- 5+ years software engineering experience shipping production systems
- 2+ years hands-on building LLM-based applications, agentic architectures, RAG pipelines, prompt engineering, evaluation frameworks
- Strong fundamentals in distributed systems, event-driven architectures, API design, testing practices, and cloud platforms (AWS/EKS/ECS)
- Expert proficiency with AI-assisted development tools (Claude Code, GitHub Copilot, Cursor)
- Production experience with at least one: Kotlin/JVM (Java), Python, or Rust
- Demonstrated ability to operate and debug complex systems in production
- Clear communicator able to articulate technical trade-offs to engineers and business stakeholders
- Experience with code migration
- Experience with legacy/mainframe technologies (COBOL, JCL, DB2) or large-scale migration programs
- Familiarity with workflow orchestration (Temporal, Airflow) and event sourcing / CDC patterns
- Experience with Kafka, PostgreSQL, and container orchestration (Kubernetes/EKS)
- Background in financial services, wealth management, brokerage, or capital markets processing
- Experience building code analysis, translation, or verification tooling
- Masters in Computer Science or equivalent experience
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 — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
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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