As a Senior Lead Software Engineer at JPMorganChase within the Chief Technology Office - Risk, Control & Regulatory 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.
- Build and maintain the full-stack Python toolkit and data products that power agentic risk-oversight workflows
- Implement LLM-based services, including retrieval-augmented generation (RAG), tool/function calling, agent and skill orchestration, prompt/version management, and evaluation/guardrails aligned to risk and control expectations.
- Develop authenticated integrations and APIs to internal systems (REST and streaming/WebSocket), handling cookie/CSRF/Kerberos/SSO auth, pagination, retry/backoff, and TLS, with a focus on performance, reliability, resiliency, and security-by-design.
- Work on data pipelines with our Data Scientist’s that stream and normalize large datasets and join them across sources against large schemas, using correct, performant, read-only SQL.
- Write secure, high-quality production code and comprehensive tests; contribute actively to code reviews (as author and reviewer) with a focus on maintainability, clarity, and misuse resistance.
- Build observability into services (logs/metrics/tracing), troubleshoot production issues, participate in incident response as needed, and automate remediation for recurring operational problems.
- Implement safe-by-default patterns for AI features (e.g., bounded tool use, validation, timeouts, structured outputs, audit trails, and human-in-the-loop workflows where appropriate).
- Generate audience-ready outputs, including self-contained interactive HTML dashboards and structured evidence packages, calibrated for technical and non-technical risk stakeholders.
- Collaborate in our product team to refine requirements, break down work, and deliver iteratively in partnership with Product, Risk, Controls, Compliance, and data teams.
- Use enterprise-authorized AI-assisted engineering tools responsibly to accelerate delivery (coding, refactoring, test creation, troubleshooting) while validating outputs for correctness, performance, and security.
- 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.
- Strong hands-on system design and application development skills with demonstrated production ownership (delivery, stability, incident response, and continuous improvement).
- Advanced Python proficiency (3.10+), including idiomatic use of dataclasses, type hints, generators/streaming, CLI frameworks (e.g., click), and sound package structure.
- Strong SQL and data-modeling skills: correct, performant, read-only queries and confident reasoning about joins across large schemas and data quality.
- Hands-on experience delivering generative AI/LLM solutions, including RAG, tool orchestration, evaluation, and guardrails.
- Proven experience building and maintaining authenticated API integrations (REST and streaming/WebSocket), including cookie/CSRF/Kerberos/SSO auth, pagination, retry/backoff, and robust error handling.
- Experience building secure, auditable systems (versioning, access controls, credential-at-rest hygiene, data handling, logging/audit trails, monitoring, and change management).
- Data-engineering pragmatism: streaming large files, header/key normalization, fuzzy joins, and memory-conscious ETL over dirty, real-world data.
- Experience building and testing production Python with modern CI/CD practices (e.g., pytest with fixtures, linting/type-checking, and a disciplined git/PR workflow).
- Experience with risk management domains and workflows (e.g., controls, operational risk, entitlements/SOX, privileged access, incident/change/problem management, model risk) and building in regulated environments
- Experience authoring LLM agent/skill systems, knowledge-base/RAG design, and MCP-based tooling.
- Frontend-lite reporting skills: generating interactive HTML/CSS/JS dashboards (e.g., Chart.js) from Python, with basic data-visualization sense.
- Exposure to distributed computing or cloud data platforms (e.g., a major cloud provider, Spark, or Databricks).
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
- 5+ years of applied software engineering experience
- Experience leading enterprise-authorized AI-assisted software development practices
- Understanding of responsible AI, data sensitivity, secure input/output handling, resiliency, and security controls
- Experience coaching senior engineers or leads on compliant AI usage patterns
- Strong system design, application development, and production ownership experience
- Advanced Python proficiency, version 3.10 or newer
- Strong SQL and data-modeling skills, including performant read-only queries and large-schema joins
- Hands-on experience delivering generative AI or LLM solutions with RAG, tool orchestration, evaluation, and guardrails
- Experience building authenticated REST and streaming or WebSocket API integrations
- Experience with cookie, CSRF, Kerberos, SSO authentication, pagination, retry/backoff, and robust error handling
- Experience building secure, auditable systems with access controls, credential hygiene, logging, monitoring, and change management
- Data-engineering experience with streaming large files, normalization, fuzzy joins, and memory-conscious ETL
- Experience building and testing production Python using CI/CD, pytest, linting, type-checking, and Git pull-request workflows
- Experience with risk management domains and regulated environments
- Experience authoring LLM agent and skill systems, knowledge-base/RAG designs, and MCP tooling
- Experience generating interactive HTML, CSS, and JavaScript dashboards, such as with Chart.js
- Exposure to distributed computing or cloud data platforms, such as Spark or Databricks
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 broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
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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