We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the Asset and Wealth Management Technology and International Private Bank's Artificial Intelligence and Machine Learning Team, you will build and operate the platform, pipelines, and tooling that our agentic AI and machine learning products run on. Your role will involve working under the direction of the team’s Senior Platform Engineer, helping to deploy, monitor, and maintain reliable and secure production AI/ML services (including PACE).
Job responsibilities
- Builds and maintains deployment pipelines, containers, and infrastructure-as-code for the team's AI/ML services
- Implements and operates monitoring, logging, and alerting so production services stay reliable and observable
- Supports model serving, environment management, and release automation
- Applies platform security and access controls to firm-wide standards
- Participates in on-call / production support and incident response as the team's ownership model matures
- Contributes to agile ceremonies, code reviews, and technical design discussions, growing towards greater technical ownership
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- 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.
- Uses AI coding tools (e.g., Claude Code, GitHub Copilot) as part of day-to-day development
- Adds to the team culture of diversity, opportunity, inclusion, and respect
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Proficiency in Python and familiarity with modern software engineering practices (testing, version control, code review)
- Working knowledge of containerization (Docker) and Kubernetes concepts
- Experience with CI/CD pipelines and cloud-native deployment
- Understanding of monitoring and observability concepts
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
- Ability to communicate clearly with teammates and stakeholders
Certified in Industry-recognized container / Kubernetes certification (e.g., Certified Kubernetes Application Developer (CKAD), or similar)
Preferred qualifications, capabilities, and skills
- Exposure to MLOps or serving ML models in production
- Familiarity with infrastructure-as-code tooling (e.g., Terraform)
Exposure to financial services technology
Skills Required
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Proficiency in Python and familiarity with testing, version control, and code review
- Working knowledge of containerization (Docker) and Kubernetes concepts
- Experience with CI/CD pipelines and cloud-native deployment
- Understanding of monitoring and observability concepts
- Hands-on experience using enterprise-authorized AI-assisted software development tools (e.g., for coding, test creation, troubleshooting, documentation)
- Understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and resiliency/security expectations
- Ability to communicate clearly with teammates and stakeholders
- Certification in industry-recognized container / Kubernetes certification (e.g., CKAD or similar)
- Exposure to MLOps or serving ML models in production
- Familiarity with infrastructure-as-code tooling (e.g., Terraform)
- Exposure to financial services technology
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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