Sr Lead Software Engineer - Engineering Services & Platforms

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Restaurant of benefits

Job summary

JPMorganChase is seeking a Senior Lead Software Engineer on the Engineering Services & Platforms (ESP) team within the CTO to drive reliable, scalable technology platforms in regulated environments. You will lead cross-functional streams spanning frontend, backend, API design, data, and AI integration while improving SDLC efficiency and developer experience.

You will mentor engineers, implement CI/CD and secure coding practices, and shape governance across the software lifecycle.

Qualifications

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Hands-on experience building full stack applications using Java and React (or Angular), with Spring/Spring Boot microservices and REST APIs
• Proficiency across the full software development lifecycle with documentation and traceability
• Experience delivering system design, application development, testing, and operational stability
• Experience with Kafka or REST API Messaging Services
• Experience implementing automation and CI/CD pipelines
• Experience leading the use of AI-assisted software development tools with governance
• Strong understanding of responsible AI use in engineering workflows

Responsibilities

• Provide technical leadership across frontend, backend, API, database, and AI integration workstreams
• Develops secure and high-quality production code and reviews code
• Build platforms that support software delivery and production-release processes across large enterprises
• Create secure, scalable, auditable, and resilient engineering ecosystems
• Strengthen TRC frameworks by translating policy into engineering capabilities
• Modernize SDLC controls, automate risk detection, and embed compliance into developer workflows
• Drive adoption of AI-assisted engineering practices and measurable validation standards
• Apply knowledge of SDLC toolchain to improve automation value at scale
• Influence product design, application functionality, and technical operations
• Contribute to the engineering community with firmwide SDLC frameworks and practices

Skills

Java

React

Angular

Spring/Spring Boot

REST APIs

CI/CD

AI-assisted development tools

AWS

Kafka

Education

Formal training or certification in software engineering

Tools

Docker

AWS

Job description

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 JPMorganChase on the Engineering Services & Platforms (ESP) team within the Chief Technology Office (CTO), you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

The work sits at the intersection of software engineering, enterprise risk, controls, operational resilience, and large-scale technology transformation. As a part of the Engineering Services and Platforms (ESP) team your mission is to… improve SDLC cycle time, delivery consistency, software quality and developer satisfaction by leveraging AI across SDLC tasks, standardizing reusable frameworks, and delivering a unified, end-to-end developer experience across SDLC products, tools and platforms.

Job responsibilities

• Provide technical leadership across frontend, backend, API, database, and AI integration workstreams.

• Develops secure and high-quality production code, and reviews and debugs code written by others

• Build mission-critical technology platforms in complex, highly regulated environments..Maintain platforms that support critical software delivery and production-release processes across large enterprises.

• Build reliable systems and creating engineering ecosystems that are secure, scalable, measurable, auditable, and resilient.

• Strengthen TRC frameworks by translating policy and regulatory expectations into practical engineering capabilities.

• Modernize SDLC controls, improving the quality and integrity of control evidence, automating risk detection and remediation, strengthening software supply-chain governance, and embedding compliance directly into developer workflows

• 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.

• Drives decisions that influence the product design, application functionality, and technical operations and processes

• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience

• Hands-on experience building full stack applications using Java and React(or Angular), with practical experience delivering Spring/Spring Boot microservices and well-designed REST APIs

• Proficiency across the full software development lifecycle — requirements, design, implementation, testing, release, and support — with clear documentation and traceability

• Hands-on practical experience delivering system design, application development, testing, and operational stability

• Experience with Kafka or restAPI Messaging Services

• Experience implementing automation and continuous delivery, including build and test automation, CI/CD pipelines, and quality gates

• 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.

• Ability to tackle design and functionality problems independently with little to no oversight

• Practical experience developing Production-scale Cloud-native (AWS) engineering solutions in commercial environments

Preferred qualifications, capabilities, and skills

• Hands-on container skills withDocker(image builds, runtime config, troubleshooting).

• Experience within a Banking and/or Payments environment