Join JPMorganChase, where technology powers the future of global finance. As part of our Corporate Technology organization, you'll work alongside some of the brightest engineering minds in the industry, building resilient, scalable systems that serve millions of customers and businesses worldwide. Here, your work doesn't just solve technical problems — it drives real business outcomes at extraordinary scale. We invest in your growth, champion collaboration, and give you the tools to do the best work of your career.
As a Lead Software Engineer at JPMorganChase within Corporate Technology, you will play a pivotal role in designing and delivering high-quality software solutions that power critical enterprise platforms. You will bring technical depth, a collaborative mindset, and a passion for engineering excellence to a team that values innovation and continuous improvement. Your contributions will directly influence the reliability, scalability, and performance of systems that matter to the firm and its clients.
Job responsibilities
- Design and develop robust, scalable Java-based applications that meet complex enterprise requirements across multiple business domains
- Lead the architecture and implementation of cloud-native solutions on AWS, ensuring high availability, security, and performance
- Drive the adoption and continuous improvement of CI/CD pipelines, enabling faster, more reliable software delivery
- 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
- Collaborate with cross-functional teams including product, architecture, and business stakeholders to translate requirements into technical solutions
- Conduct thorough code reviews and establish engineering best practices that elevate the quality and consistency of the team's output
- Mentor and coach junior engineers, fostering a culture of learning, ownership, and technical growth
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and advanced applied experience
- Advanced proficiency in Java, including experience building and maintaining large-scale, production-grade applications
- Hands-on experience designing and deploying cloud-native solutions on AWS (e.g., EC2, S3, Lambda, RDS, EKS)
- Demonstrated experience building and maintaining CI/CD pipelines using industry-standard tools
- Strong understanding of software design patterns, distributed systems, and microservices architecture
- Proven ability to lead technical discussions, influence design decisions, and drive alignment across engineering teams
- 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 with infrastructure-as-code tools such as Terraform or AWS CloudFormation
- Familiarity with containerization and orchestration technologies such as Docker and Kubernetes
- Exposure to observability and monitoring practices using tools such as Datadog, Splunk, or equivalent platforms
- Experience contributing to or leading architectural decisions in a large, matrixed enterprise environment
- Knowledge of security best practices in cloud and application development contexts
Skills Required
- Formal training or certification in software engineering concepts and advanced applied experience
- Advanced proficiency in Java and experience building and maintaining large-scale production applications
- Hands-on experience designing and deploying cloud-native solutions on AWS, including services such as EC2, S3, Lambda, RDS, or EKS
- Experience building and maintaining CI/CD pipelines using industry-standard tools
- Strong understanding of software design patterns, distributed systems, and microservices architecture
- Ability to lead technical discussions, influence design decisions, and drive alignment across engineering teams
- Hands-on experience using enterprise-authorized AI-assisted software development tools for coding, testing, troubleshooting, or documentation
- Ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
- Understanding of responsible AI use in engineering workflows, data sensitivity, secure input/output handling, resiliency, and security expectations
- Experience with infrastructure-as-code tools such as Terraform or AWS CloudFormation
- Familiarity with Docker and Kubernetes
- Exposure to observability and monitoring tools such as Datadog or Splunk
- Experience contributing to or leading architectural decisions in a large, matrixed enterprise environment
- Knowledge of cloud and application development security best practices
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 — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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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