Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase within Commercial & Investment Bank's Kinexys Digital Payments Technology, you play a crucial role in an agile team dedicated to enhancing, building, and delivering trusted, market-leading technology products that are secure, stable, and scalable. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Defines and drives the roadmap; make high-impact design decisions on distributed systems, microservices, APIs, and data pipelines.
- 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
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Collaborate with Product Owners, SREs, Cybersecurity, Risk, and Compliance to deliver features that meet business and regulatory requirements.
- Mentor and grow a team of senior, mid-level, and junior engineers, conduct code reviews, design reviews, and career development conversations.
- Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Write, review, and mentor on production-grade code in Java, Python, Go, or similar; champion clean code, TDD, and modern engineering practices.
- Evaluate emerging technologies (event-driven architecture, AI/ML platforms, real-time streaming, etc.) and drive their adoption where appropriate.
- Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 10+ years of applied experience in server-side / backend engineering.
- Hands-on experience with blockchain platforms such as Ethereum, Hyperledger Besu, Hyperledger Fabric, Quorum, Corda, or Polygon
- Expertise in one or more backend languages: Java, Go, C++, Scala, or Kotlin.
- Deep knowledge of distributed systems, microservices architecture, RESTful and gRPC APIs, and event-driven design (Kafka, RabbitMQ, etc.).
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
- Experience with cloud platforms (AWS), containers (Docker, Kubernetes), and CI/CD pipelines (Jenkins, Spinnaker).
- Solid understanding of performance tuning, caching strategies and observability (Prometheus, Grafana, Splunk, Dynatrace). Proven track record of leading large-scale engineering programs and mentoring senior engineers.
- Experience with AWS ecosystem and application migrations from on-premises and hybrid solutions to fully cloud-native applications.
- In-depth knowledge of the financial services industry and their IT systems.
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls
Required qualifications, capabilities, and skills
- Experience operating in highly regulated environments (financial services, healthcare, etc.) is strongly preferred.
Skills Required
- Formal training or certification in software engineering concepts
- 10+ years of applied server-side or backend engineering experience
- Hands-on experience with blockchain platforms such as Ethereum, Hyperledger Besu, Hyperledger Fabric, Quorum, Corda, or Polygon
- Expertise in one or more backend languages: Java, Go, C++, Scala, or Kotlin
- Deep knowledge of distributed systems, microservices, RESTful and gRPC APIs, and event-driven design
- Advanced understanding of agile methodologies, CI/CD, application resiliency, and security
- Experience with AWS, Docker, Kubernetes, Jenkins, and Spinnaker
- Understanding of performance tuning, caching strategies, and observability using Prometheus, Grafana, Splunk, or Dynatrace
- Track record of leading large-scale engineering programs and mentoring senior engineers
- Experience migrating applications from on-premises or hybrid environments to cloud-native applications on AWS
- In-depth knowledge of the financial services industry and its IT systems
- Experience leading enterprise-authorized AI-assisted software development tools for coding, code review, testing, or troubleshooting
- Ability to validate AI outputs for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure input/output handling, resiliency, and security controls
- Experience coaching senior engineers or leads on compliant AI usage patterns and controls
- Experience operating in highly regulated environments such as financial services or healthcare
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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