Sr Lead Software Engineer

Elevate your engineering prowess to unprecedented levels by joining a team of exceptionally gifted professionals and position yourself among the top echelon in site reliability.

As a Senior Lead Software Engineer, Site Reliability Engineering at JPMorganChase within Corporate Sector - Corporate Responsibility team, you work with stakeholders to define non-functional requirements and availability targets across services and product lines.

You ensure these requirements are built into design and testing, and that service level indicators and service level objectives effectively measure and improve customer experience.

Job responsibilities


* Create and deliver high-quality designs, roadmaps, and program charters in partnership with engineering teams


* Act as a key mentor and trusted advisor to technologists on technical and business challenges, serving as a culture carrier and site reliability adoption champion


* Collaborate to design and implement observability and reliability capabilities for complex systems that are robust, stable, and reduce operational toil and technical debt


* Use enterprise-authorized AI capabilities within the work environment to accelerate reliability design and operational decision-making (e.g., incident and post-incident analysis, requirements traceability), validating outputs and handling operational data according to sensitivity and security requirements


* Drive the evolution and debugging of critical components by understanding application and platform dependencies, constraints, and failure modes


* Provide ongoing guidance, tools, and solutions that enable safe growth through stronger reliability, scalability, and operational readiness


* Contribute to the site reliability engineering community through knowledge sharing, reusable patterns, and continuous improvement practices


* Lead reuse-first adoption of AI-assisted reliability workflows across software development life cycle practices (e.g., testing and validation automation, production readiness), ensuring traceability, resiliency, and security controls


* Drive adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the software development life cycle/toolchain


* Apply 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 5+ years applied experience


* Experience defining and operationalizing non-functional requirements, availability targets, and production readiness standards for customer-faci...