We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As an AWS Software Engineer III-ETL/AI at JPMorgan Chase within the Commercial and Investment Banking - Market Data Lake Core Data Platform 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.
- 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
- 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
- Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
- Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
- Ensure optimal application performance in production, providing ongoing monitoring, troubleshooting, and end-to-end production support to maintain stability and service reliability
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepted and 3+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Hands-on experience in Python or Java programming languages
- Prior experience building and operating data platforms and services using AWS, including services such as S3, Redshift, SageMaker, and Lambda.
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Experience with databases and data access patterns, including platforms such as Redshift and Oracle, and strong SQL/data querying capability.
- 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
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Practical experience using infrastructure-as-code tooling (e.g., Terraform) and working effectively in a large corporate engineering environment
- Big Data / distributed computing experience (best to have), including frameworks such as Apache Spark (and/or Hadoop ecosystem) for large-scale data processing
- Experience with data orchestration and workflow scheduling tools (best to have), such as Airflow or similar
- Exposure to messaging and event-driven architectures (best to have), including technologies such as Kafka and/or MQ (e.g., IBM MQ or similar)
- Experience with containerization and orchestration platforms (best to have), including Docker and Kubernetes, and deploying/operating services in containerized environments
- Familiarity with Agentic AI frameworks and patterns (e.g., LangChain, AutoGen, CrewAI, or similar) and experience applying them responsibly in production contexts
- Experience with reinforcement learning, prompt engineering, or agent-based simulation, especially where it improves agent reliability and business outcomes
- Exposure to modern front-end technologies and patterns for integrating AI/data capabilities into user-facing experiences
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 and 3+ years applied experience
- Hands-on experience in system design, application development, testing, and operational stability
- Hands-on experience in Python or Java
- Experience building and operating data platforms and services using AWS (S3, Redshift, SageMaker, Lambda)
- Experience developing, debugging, and maintaining code in a large corporate environment with modern programming and database querying languages
- Experience with databases/data access patterns (Redshift, Oracle) and strong SQL/querying capability
- Hands-on experience using enterprise-authorized AI-assisted software development tools and validating AI outputs
- Understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs
- Overall knowledge of the Software Development Life Cycle
- Solid understanding of agile methodologies such as CI/CD, application resiliency, and security
- Practical experience using infrastructure-as-code tooling (e.g., Terraform)
- Big Data / distributed computing experience (Apache Spark/Hadoop)
- Experience with data orchestration/workflow tools (Airflow or similar)
- Exposure to messaging/event-driven architectures (Kafka, IBM MQ)
- Experience with containerization and orchestration (Docker, Kubernetes)
- Familiarity with agentic AI frameworks (LangChain, AutoGen, CrewAI) and responsible production use
- Experience with reinforcement learning, prompt engineering, or agent-based simulation
- Exposure to modern front-end technologies for integrating AI/data capabilities
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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