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 the Consumer and community banking-Global Customer Platform, you serve as a seasoned member of agile team for multiple product areas, needs to partner with different application teams throughout to support their application infrastructure configuration updates and deployments. 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
- Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down 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.
- Develop and enhance CI/CD pipelines to automate build, test, scan and deployment workflows
- Support Production change deployments using CI-CD pipeline, Improve stability of the release process and troubleshoot infrastructure and configuration issues across all environments.
- Responsible for overall readiness of all Applications, address scheduling/deployment conflicts
- 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.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 6+ years applied experience
- Hands-on practical experience in Devops-CI CD, Jenkins, Git, Github and operational stability
- Proficient in coding in one or more languages-Java, Groovy, Ansible, Python
- 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.
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Proficient with Java-Spring based microservices(Java, Spring, Micro services, Kafka etc.) application infrastructure and its deployment model
- 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
- Experience in Cloud & DevOps – CI & CD Tools: Jenkins, Groovy, Ansible, Git, Github, Gitlab CI, Pivotal Cloud Foundry(PCF), Kubernetes.
- Familiarity with AI/ML tools usage like Copilot, LLM
- Overall knowledge of the Software Development Life Cycle
- Experience supporting mission-critical platforms/applications desirably in financial services industry
Skills Required
- Formal training or certification on software engineering concepts and 6+ years applied experience
- Hands-on practical experience in DevOps CI/CD, Jenkins, Git, GitHub and operational stability
- Proficient coding in one or more languages: Java, Groovy, Ansible, Python
- Experience developing, debugging, and maintaining code in a large corporate environment using modern programming and database querying languages
- Hands-on experience using enterprise-authorized AI-assisted software development tools with ability to evaluate, validate, and refine AI-generated outputs
- Understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and resiliency/security expectations
- Solid understanding of agile methodologies such as CI/CD, application resiliency, and security
- Knowledge of software applications and technical processes in disciplines like cloud, AI/ML, mobile, etc.
- Proficient with Java Spring-based microservices and their deployment model (Java, Spring, Microservices, Kafka)
- Experience with Cloud & DevOps tools such as GitLab CI, Pivotal Cloud Foundry (PCF), Kubernetes
- Familiarity with AI/ML tools usage like Copilot and LLMs
- Overall knowledge of the Software Development Life Cycle (SDLC)
- Experience supporting mission-critical platforms/applications, preferably in financial services
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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