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 JPMorganChase 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
- Provide technical guidance and direction to business stakeholders, engineering teams, contractors, and vendors; influence technical decisions and outcomes.
- Develop secure, high-quality production code; review, troubleshoot, and debug code written by others to raise engineering standards.
- Drive adoption and governance of approved AI-assisted engineering practices (e.g., code review/refactoring, test acceleration, release readiness, incident/RCA) across teams.
- Establish and enforce measurable validation standards across delivery (secure coding, peer review, automated testing) and promote reuse of proven patterns and automation in the SDLC/TLM toolchain.
- Apply deep SDLC toolchain knowledge—including approved AI-assisted development and automation capabilities—to improve automation value at scale.
- Design and develop large-scale AWS cloud solutions/platforms aligned with firm-wide strategies and security controls.
- Deploy and enable enterprise cloud-based solutions supporting complex analytics and day-to-day business operations; build tooling to monitor, provision, automate, and report on services.
- Lead migration of legacy and big data applications to cloud-native architectures with zero downtime, improving reliability and operational performance.
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- 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.
Required qualifications, capabilities, and skills
- 4+ years of software engineering experience and Hands-on delivery across system design, application development, testing, and operational stability.
- Strong understanding of the SDLC toolchain, including approved AI-assisted development and automation, to drive automation at scale.
- Solid machine learning modeling knowledge from an engineering perspective.
- Advanced proficiency in one or more languages/frameworks (e.g., Python, Java) and related areas (big data, data pipelines, ML).
- Advanced knowledge of software applications/technical processes, with depth in at least one discipline (e.g., cloud, AI/ML, mobile).
- Strong grounding in application, data, and infrastructure architecture, including OOP/OOPS and SDLC best practices.
- Ability to solve design and functionality problems independently with minimal oversight, including practical cloud-native experience.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Preferred qualifications, capabilities, and skills
- Cloud & Big Data Platforms: AWS certifications (e.g., Solutions Architect Associate), strong cloud technologies experience, and working knowledge of big data platforms.
- Data Engineering (Spark/Pipelines): Hands-on experience building data pipelines in Spark, including Spark query tuning/performance optimization.
- AI/ML & Automation Enablement: Knowledge of RAG architectures and exposure to AI/automation technologies that improve operations; proficient with Python ML/data ecosystem (Pandas, NumPy, etc.).
Skills Required
- 4+ years of software engineering experience with hands-on delivery across system design, application development, testing, and operational stability.
- Strong understanding of the SDLC toolchain, including approved AI-assisted development and automation, to drive automation at scale.
- Solid machine learning modeling knowledge from an engineering perspective.
- Advanced proficiency in one or more languages/frameworks (e.g., Python, Java) and related areas (big data, data pipelines, ML).
- Advanced knowledge of software applications/technical processes with depth in at least one discipline (e.g., cloud, AI/ML, mobile).
- Strong grounding in application, data, and infrastructure architecture, including OOP/OOPS and SDLC best practices.
- Practical cloud-native experience and ability to solve design and functionality problems independently with minimal oversight.
- Demonstrated experience leading effective use of approved AI-assisted software development tools and validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows including data sensitivity, secure handling, resiliency, and coaching engineers on compliant adoption.
- AWS certifications (e.g., Solutions Architect Associate) and strong cloud technologies experience.
- Hands-on experience building data pipelines in Spark, including Spark query tuning and performance optimization.
- Knowledge of RAG architectures and proficiency with Python ML/data ecosystem (Pandas, NumPy); exposure to AI/automation technologies.
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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