We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III- Python / AWS / AI Enablement at JPMorganChase within the Asset & Wealth Management Technology team, you will design and build scalable services and platforms that power investment and wealth solutions. You will work hands-on across application code and cloud infrastructure, delivering reliable, secure, and well-observed systems. You’ll collaborate closely with product, engineering, data/AI partners, and control functions to enable modern AI capabilities (including MCP and AI tooling integrations) while maintaining high standards for engineering excellence and operational stability.
Job Responsibilities
- Design, develop, test, and deploy Python-based microservices, APIs, and data-driven applications supporting AWM business workflows and platforms.
- Build and operate cloud-native solutions on AWS (or equivalent cloud platforms), focusing on scalability, resiliency, performance, and cost awareness.
- Implement MCP (Model Context Protocol) and integrate AI tools to enable safe, consistent, and reusable model/application interactions and developer workflows.
- Develop and maintain infrastructure and automation using infrastructure-as-code and CI/CD practices.
- Leverage 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.
- Apply 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.
- Collaborate with cross-functional teams to define technical requirements, design patterns, and service interfaces; participate in architecture and code reviews.
- Establish strong observability practices (logging, metrics, tracing), drive incident response readiness, and continuously improve operational excellence.
- Contribute to secure engineering practices (authentication/authorization patterns, secrets management, dependency hygiene, and SDLC controls).
- Mentor junior engineers and contribute to a culture of inclusion, ownership, and continuous improvement.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Python development experience (building production services/applications).
- Hands-on experience with AWS or another major cloud platform (designing, deploying, and operating cloud workloads).
- Working knowledge of MCP (Model Context Protocol) and experience using AI tools to build or integrate AI-enabled features/workflows.
- Strong software engineering fundamentals: data structures, APIs, testing, reliability, performance tuning, and code quality practices.
- 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.
- Experience with CI/CD pipelines and modern delivery practices (e.g., automated testing, artifact/version management, release strategies).
- Strong communication skills and ability to partner effectively across engineering, product, and control stakeholders.
Preferred Qualifications, Capabilities, and Skills
- Java coding experience (e.g., maintaining or integrating with JVM-based services).
- Exposure to front-end development and React (e.g., building small UI components, supporting full-stack delivery).
- Experience with containers and orchestration (e.g., Docker, Kubernetes/EKS) and/or serverless patterns.
- Familiarity with observability tooling and practices (metrics, distributed tracing, SLOs/SLIs).
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 and 3+ years applied experience
- Python development experience building production services/applications
- Hands-on experience with AWS or another major cloud platform (designing, deploying, operating cloud workloads)
- Working knowledge of MCP (Model Context Protocol) and experience using AI tools to build or integrate AI-enabled features/workflows
- Strong software engineering fundamentals: data structures, APIs, testing, reliability, performance tuning, and code quality practices
- Hands-on experience using enterprise-authorized AI-assisted software development tools with ability to validate and refine AI-generated outputs
- Understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and resiliency/security expectations
- Experience with CI/CD pipelines and modern delivery practices (automated testing, artifact/version management, release strategies)
- Strong communication skills and ability to partner across engineering, product, and control stakeholders
- Java coding experience (maintaining or integrating with JVM-based services)
- Exposure to front-end development and React
- Experience with containers and orchestration (Docker, Kubernetes/EKS) and/or serverless patterns
- Familiarity with observability tooling and practices (metrics, distributed tracing, SLOs/SLIs)
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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