Sr Lead Software Engineer, Engineering Excellence

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 61,000 - 101,000; Full time

Benefits offered by this job

Health coverage

Retirement savings

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorganChase seeks a Senior Lead Software Engineer to drive secure, AI‑assisted engineering practices and modernization at scale within Corporate Technology. You will lead governance around enterprise AI tools, improve code quality and delivery speed, and mentor engineers on secure development and lifecycle practices.

The role emphasizes secure, healthy applications, resilient architectures, and collaboration with security and architecture teams to meet firm-wide health standards.

Qualifications

• Formal training or certification in software engineering concepts, plus 5+ years of hands-on experience.
• Proven ability to build and support secure, production-ready applications with health practices, including vulnerability remediation and dependency management.
• Experience with lifecycle management, modernization, and risk detection across portfolios.
• Experience with enterprise AI-assisted development tools and validating AI outputs for accuracy, performance, and security.
• Experience promoting responsible AI use, data sensitivity handling, and secure controls.

Responsibilities

• Drive adoption and governance of enterprise-approved AI-assisted engineering practices to improve code quality and delivery speed.
• Champion application health standards across the engineering organization.
• Lead technical lifecycle management to address aging components and vulnerabilities.
• Embed secure-by-design principles with architecture and security teams.
• Guide teams on responsible use of AI coding tools with clear human review expectations.
• Evolve engineering standards and toolchains to reduce manual effort and improve traceability.
• Mentor engineers across levels in AI-enabled development and lifecycle practices.
• Apply AI-assisted practices to improve code quality, release readiness, and incident analysis.

Skills

Secure coding standards

CI/CD automation

AI-assisted development

Application health governance

Mentoring engineers

Automation testing

Cloud-native development

Education

Software engineering training or certification

Tools

Claude AI

GitHub Copilot

CI/CD tools

Static analysis tools

Software composition analysis

Job description

Salary: $61,000 - 101,000 per year

Requirements

• Formal training or certification in software engineering concepts, plus 5+ years of hands‑on experience
• Proven ability to build and support secure, production‑ready applications with strong application health practices, including vulnerability remediation, dependency management, and technical debt reduction
• Practical experience with technical lifecycle management, including modernization of applications, remediation of outdated components, and early risk detection across software portfolios
• Demonstrated success using enterprise‑approved AI‑assisted development tools in the workplace, with the ability to set expectations for validating AI‑generated outputs for accuracy, performance, and security
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity, secure handling of inputs and outputs, and adherence to resilience and security standards; experience coaching senior engineers and leads on compliant usage patterns and controls
• Proficiency in modern software engineering practices, including CI/CD automation, automated testing approaches, secure coding standards, and peer review processes
• Ability to explain complex technical concepts clearly to both technical and non‑technical stakeholders and influence decisions across cross‑functional teams
• Experience with agentic AI coding platforms such as Claude, GitHub Copilot, or equivalent enterprise‑authorized tools in a production engineering environment, with the ability to govern their use responsibly at team or program scale
• Familiarity with application health frameworks, static analysis tools, software composition analysis, or similar vulnerability and lifecycle management platforms
• Experience helping define engineering standards, architectural patterns, or developer experience initiatives within a large‑scale technology organization
• Exposure to cloud‑native application development and infrastructure‑as‑code practices, with understanding of how platform choices affect long‑term maintainability
• Background in coaching or mentoring engineers on secure development practices, AI‑assisted workflows, or technical modernization programs

Responsibilities

• Drive adoption and governance of enterprise‑approved AI‑assisted engineering practices, including agentic coding tools, to improve code quality, delivery speed, and operational results while promoting measurable validation standards and reuse of proven patterns within the SDLC toolchain
• Champion application health standards across the engineering organization and set the example for building new applications in a secure, resilient, and well‑architected state from the outset
• Lead technical lifecycle management efforts by identifying and addressing aging components, deprecated dependencies, and systemic vulnerabilities before they create risk or operational burden
• Partner with architecture and security teams to embed secure‑by‑design principles into development workflows and ensure applications meet firm‑wide health and compliance expectations throughout delivery
• Guide teams on responsible use of agentic AI coding tools, including clear expectations for human review, output validation, and secure handling of sensitive data in AI‑assisted workflows
• Help evolve engineering standards and toolchain automation by finding opportunities to reduce manual effort, speed up release readiness, and improve traceability and auditability across the delivery pipeline
• Mentor and coach engineers at different levels, sharing expertise in application health, AI‑enabled development, and technical lifecycle practices to strengthen team capability and promote engineering excellence
• Apply approved AI‑assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, such as AI‑assisted code review, refactoring, test acceleration, release readiness, and incident or root‑cause analysis
• Use knowledge of software development life cycle toolchain capabilities, including approved AI‑assisted development and automation tools, to increase the value delivered through automation at scale

Technologies

• Agentic AI
• AI
• CI/CD
• Cloud
• Copilot
• GitHub
• Support
• Marketing
• Security

More

hackajob is collaborating with J.P. Morgan to connect exceptional professionals with this role. At JPMorganChase, we focus on engineering that raises the standard for how software is built, secured, and sustained across the organization. This Senior Lead Software Engineer position sits within Corporate Technology and plays a technical leadership role in advancing secure, healthy applications, AI‑assisted engineering practices, and modernization at scale. JPMorganChase is a long‑established global financial institution serving consumers, small businesses, corporate, institutional, and government clients under the J.P. Morgan and Chase brands. We offer a competitive total rewards package with salary based on role, experience, skills, and location, plus possible incentive compensation and a range of benefits such as health coverage, wellness centers, retirement savings, backup childcare, tuition reimbursement, mental health support, and financial coaching, subject to eligibility. We value diversity and inclusion and support reasonable accommodations where needed. Our Corporate Functions team supports the business across areas including finance, risk, human resources, and marketing.

last updated 40 week of 2026