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 Consumer and Community Banking, 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.
Job Responsibilities
- Collaborate with cross-functional teams to identify business requirements and develop data-driven solutions using Agentic/GenAI frameworks in a fast-paced environment.
- Conduct research on prompt and context engineering techniques to enhance the performance of LLM-based solutions.
- Design and implement scalable and reliable data processing pipelines, performing analysis and deriving insights to optimize business outcomes.
- Build and maintain Data Lakes and data processing workflows using Databricks to support machine learning operations.
- Communicate technical concepts and results effectively to both technical and non-technical stakeholders.
- 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.
- Utilize AWS services including S3, Lambda, Redshift, Athena, Step Functions, MSK, EKS, and Data Lake architectures.
- Collaborate with data scientists, engineers, and business stakeholders to deliver high-quality data solutions.
- Act as a self-starter, independently taking initiative in driving assignments to completion and solving problems without the need for escalation.
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Advanced degree in Computer Science, Data Science, Mathematics, or related field.
- 3+ years of applied experience in data science, machine learning, or related areas.
- Strong Python skills with PySpark, Spark SQL, and Datagrams for large-scale data processing.
- Proficiency with GenAI models (e.g., OpenAI) to solve business problems, including RAG/fine-tuning when appropriate.
- Experience with LLM orchestration, building AI agents, agentic frameworks, and MCP servers.
- 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.
- Databricks expertise building and managing data lakes and end-to-end data processing workflows.
- Strong problem-solving, troubleshooting, clear stakeholder communication, rapid POC-to-production delivery, and mentoring abilities.
Preferred Qualifications, Capabilities, and Skills
- Proficiency in all other AWS components—preferably AWS certified.
- Experience integrating AI/ML models into data pipelines is a plus.
- Experience with version control (Git) and CI/CD pipelines.
Skills Required
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Advanced degree in Computer Science, Data Science, Mathematics, or related field
- 3+ years of applied experience in data science, machine learning, or related areas
- Strong Python skills with PySpark, Spark SQL, and Datagrams for large-scale data processing
- Proficiency with GenAI models (e.g., OpenAI) including RAG/fine-tuning when appropriate
- Experience with LLM orchestration, building AI agents, agentic frameworks, and MCP servers
- Hands-on experience using enterprise-authorized AI-assisted software development tools and validating AI-generated outputs
- Understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and resiliency/security expectations
- Databricks expertise building and managing data lakes and end-to-end data processing workflows
- Experience designing and implementing scalable, reliable data processing pipelines and ML operations
- Experience with AWS services: S3, Lambda, Redshift, Athena, Step Functions, MSK, EKS, and Data Lake architectures
- Strong problem-solving, troubleshooting, stakeholder communication, rapid POC-to-production delivery, and mentoring abilities
- Proficiency in all other AWS components and preferably AWS certified
- Experience integrating AI/ML models into data pipelines
- Experience with version control (Git) and CI/CD pipelines
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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