Partner closely with product, operations, security, and controls stakeholders, and help drive design quality and operational excellence for production workloads.
As a Lead Software Engineer at JPMorgan Chase within Cloud Foundation Services, you will lead within the team and domain by owning features and services end-to-end, guiding designs for moderately complex initiatives, and setting expectations for engineering quality and operational rigor.
Job Responsibilities
- Lead the design and implementation of key components of a public cloud platform, primarily on AWS.
- Develop secure, high-quality production code and infrastructure automation (primarily in Python and Terraform), and review and debug code written by others to ensure correctness, performance, and maintainability.
- Influence product design, application functionality, and technical operations within the team and domain by proposing pragmatic architectures, tradeoffs, and standards aligned to firm SDLC, security, and controls expectations.
- Partner with operations, SRE, security, risk, and controls stakeholders to deliver compliant solutions, improve observability, reduce operational toil, and ensure audit-ready processes and artifacts.
- Drive automation and CI/CD improvements, including pipeline reliability, quality gates, testing strategy, and repeatable environment provisioning to support safe and fast delivery.
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.
- Use AI-assisted developer tools, including GitHub Copilot and Microsoft Copilot, to accelerate routine engineering tasks (for example, scaffolding, small utilities, repetitive patterns, test generation, refactoring suggestions, and first-pass documentation), while ensuring all outputs are validated and refined to meet production and security standards.
- Define and reinforce safe team usage patterns for AI-assisted development, including verification expectations (correctness, security implications, licensing/IP considerations, and compliance) and adherence to firm controls (for example, avoiding sensitive data in prompts and ensuring reviews and approvals occur before merge and release).
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 5+ years applied experience.
- 4+ years of professional experience developing and designing software on AWS, with meaningful hands-on experience delivering solutions involving AWS database services and the infrastructure that supports them.
- Strong, practical proficiency in Python and Terraform, including building and maintaining production-grade automation and infrastructure as code.
- Advanced working knowledge of AWS services across traditional compute, containerized workloads, and serverless architectures, and how these patterns integrate with database services and platform guardrails.
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
- Working experience with engineering toolchains including Jira, Bitbucket, and Confluence, and day-to-day development in IntelliJ IDEA and Visual Studio Code.
- Practical experience with SQL and/or NoSQL concepts as applied to managed AWS database services (for example, data modeling, performance considerations, availability patterns, backup/restore approaches, and operational troubleshooting).
- Practical familiarity with AI-assisted coding tools, including GitHub Copilot and Microsoft Copilot, including effective prompting for engineering tasks and disciplined verification of outputs before use in any code or infrastructure configuration.
Clear understanding of responsible and approved AI tool usage, including adherence to firm controls, avoiding sensitive or confidential data in prompts, and applying engineering judgment to validate correctness, security posture, and compliance expectations.
Preferred Qualifications, Capabilities, and Skills
- Strong communication skills, including the ability to explain designs, risks, and operational tradeoffs to engineering peers and partner teams.
- Experience influencing decisions across adjacent teams within the domain (for example, platform consumers, SRE/ops partners, or security/control partners) through clear technical proposals and collaborative execution.
- Prior experience with Amazon RDS (e.g., RDS SQL Server, PostgreSQL) is preferred.
- Experience building reusable Terraform modules and standardized infrastructure patterns, including guardrails, policy-aligned defaults, and composable platform building blocks.
- Experience operating AWS database platforms at scale, including monitoring/alerting design, performance and capacity management, backup/restore validation, and availability/failover considerations.
- One AWS certification preferred (for example, Solutions Architect, Developer, or Data Engineer), and Terraform Certified Associate certification preferred.
- Demonstrated use of Copilot in team workflows to improve delivery outcomes (for example, accelerating test coverage, refactoring, documentation/runbook drafting), with a strong understanding of LLM limitations and risks (for example, hallucinations, security concerns, and licensing/IP considerations) and consistent verification practices.
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
High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.
Skills Required
- Formal training or certification on software engineering concepts and 5+ years applied experience
- 4+ years professional experience developing and designing software on AWS with hands-on experience delivering solutions involving AWS database services
- Strong, practical proficiency in Python and Terraform for production-grade automation and infrastructure as code
- Advanced working knowledge of AWS services across compute, containers, serverless, and integration with database services and platform guardrails
- Demonstrated experience leading effective use of approved AI-assisted software development tools and setting team validation expectations
- Strong understanding of responsible AI use in engineering workflows and experience coaching safe, compliant adoption
- Working experience with engineering toolchains including Jira, Bitbucket, and Confluence; development in IntelliJ IDEA and Visual Studio Code
- Practical experience with SQL and/or NoSQL concepts applied to managed AWS database services (data modeling, performance, availability, backup/restore, troubleshooting)
- Practical familiarity with GitHub Copilot and Microsoft Copilot including prompting and disciplined verification of outputs
- Strong communication skills to explain designs, risks, and operational tradeoffs
- Experience influencing adjacent teams through technical proposals and collaborative execution
- Prior experience with Amazon RDS (e.g., RDS SQL Server, PostgreSQL)
- Experience building reusable Terraform modules, guardrails, and standardized infrastructure patterns
- Experience operating AWS database platforms at scale including monitoring, capacity management, backup/restore validation, and availability planning
- One AWS certification (e.g., Solutions Architect, Developer, Data Engineer) and/or Terraform Certified Associate
- Demonstrated use of Copilot in team workflows with understanding of LLM limitations and verification practices
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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