We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Python / Agentic AI Software Engineer III / AWS at JPMorganChase within the Asset and Wealth Management team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives. You’ll contribute to delivering production-grade AI-enabled platforms and services in close partnership with product, engineering, and business stakeholders. This role is hands-on: you’ll help build and enhance secure, cloud-native, well-governed AI capabilities, support proof-of-concept (POC) execution. You’ll operate as a developing engineer who learns to translate business needs into reliable implementations—contributing to the team’s “build-and-enable” mission by shipping initial solutions while helping document standards, reusable components, and operating discipline that enable sustained delivery velocity and risk-managed adoption.
Job Responsibilities
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
- Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
- Builds and enhances cloud-native, microservices-based components under guidance, following established architectural standards.
- Participates in domain modeling and API/service design discussions to help create maintainable, testable software.
- Writes secure, high-quality production code, and participate in code reviews; debug issues in your code and assist with resolving issues in team-owned components.
- Supports operational stability by helping identify recurring issues, writing runbooks, improving monitoring/alerts, and contributing to remediation/automation tasks.
- Participates in agile ceremonies (standups, planning, refinements, retros) and deliver work in small, well-scoped increments.
- 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.
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Exposure to agentic development patterns, including building or integrating LLM/agent-based workflows (e.g., tool/function calling, prompt/version management, guardrails, evaluation/testing, and monitoring), with an understanding of secure and compliant usage in enterprise environments.
- Proficiency in back-end development with Python and Flask/Django or similar and experience building or contributing to service-oriented/microservices applications.
- Familiarity with front-end technologies (HTML/CSS/JavaScript/TypeScript and React/Angular or similar).
- Working knowledge of cloud platforms (AWS/Azure/GCP), distributed systems basics, and web technologies).
- Experience designing and working with SQL and/or NoSQL databases, including data modeling fundamentals.
- Familiarity with agile methodologies (e.g., Scrum) and core SDLC practices (version control, CI pipelines, testing, deployments).
- Understanding of fundamentals of application resiliency and security (e.g., error handling, timeouts/retries, least privilege, secrets management), and willingness to learn firm standards.
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- 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.
Preferred qualifications, capabilities, and skills
- Strong communication skills and a growth mindset (ability to take feedback, ask good questions, and collaborate effectively).
- Experience improving quality through unit/integration testing, observability (logs/metrics/traces), and basic automation.
- Exposure to banking/financial services domain concepts.
- Familiarity with WebSockets and experience with large scale data processing frameworks like Pyspark
About Us
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
- At least 3 years of applied software engineering experience
- Experience with agentic development patterns, including LLM or agent-based workflows, tool calling, prompt management, guardrails, evaluation, and monitoring
- Proficiency in Python backend development with Flask, Django, or similar frameworks
- Experience with service-oriented or microservices applications
- Familiarity with HTML, CSS, JavaScript, TypeScript, React, Angular, or similar frontend technologies
- Working knowledge of AWS, Azure, or GCP and distributed systems
- Experience designing and working with SQL or NoSQL databases and data modeling fundamentals
- Familiarity with agile methodologies and SDLC practices, including version control, CI pipelines, testing, and deployments
- Understanding of application resiliency and security fundamentals, including retries, least privilege, and secrets management
- Experience developing, debugging, and maintaining code in a large corporate environment
- Hands-on experience with enterprise-authorized AI-assisted software development tools
- Understanding of responsible AI use, data sensitivity, secure input and output handling, and resiliency and security expectations
- Strong communication skills and a growth mindset
- Experience with unit and integration testing, observability, and basic automation
- Exposure to banking or financial services concepts
- Familiarity with WebSockets
- Experience with large-scale data processing frameworks such as PySpark
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.
-
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.
-
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.
-
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
Similar Jobs
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.
Gallery
