**Sr Lead Software Engineer**
Lead site reliability engineering at JPMorganChase's Corporate Sector team. Define non-functional requirements and availability targets, ensuring their integration in design and testing phases. Utilize service level indicators and objectives to measure and enhance customer experience.
Key responsibilities:
- Create high-quality designs and roadmaps alongside engineering teams
- Mentor and guide technologists on technical challenges and business decisions
- Collaborate to design and implement observability and reliability capabilities for complex systems
- Leverage AI capabilities to accelerate reliability design and decision-making using tools like Python and Java
Required skills and experience:
- 5+ years in software engineering, with a formal certification or training
- Proven expertise in defining and operationalizing non-functional requirements and service level management
- Proficiency in Python and/or Java for automation and tool development
- Experience with Amazon Web Services and secure access management concepts
- Demonstrable experience with AI-assisted software development tools and responsible AI use
Full Job Description
Location: OH, United States
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 teamsAct as a key mentor and trusted advisor to technologists on technical and business challenges, serving as a culture carrier and site reliability adoption championCollaborate to design and implement observability and reliability capabilities for complex systems that are robust, stable, and reduce operational toil and technical debtUse 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 requirementsDrive the evolution and debugging of critical components by understanding application and platform dependencies, constraints, and failure modesProvide ongoing guidance, tools, and solutions that enable safe growth through stronger reliability, scalability, and operational readinessContribute to the site reliability engineering community through knowledge sharing, reusable patterns, and continuous improvement practicesLead 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 controlsDrive 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/toolchainApply 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 scaleRequired qualifications, capabilities and skills
Formal training or certification on software engineering concepts and 5+ years applied experienceExperience defining and operationalizing non-functional requirements, availability targets, and production readiness standards for customer-facing servicesExperience establishing and managing service level indicators and service level objectives with stakeholders, including measurement, alerting, and continuous improvementProficiency in Python and/or Java for building automation, tooling, and reliability improvementsKnowledge of identity and access management concepts and secure access patterns in enterprise environmentsExperience with Amazon Web Services, including database platforms and data movement patterns such as extract, transform, load processesDemonstrated 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 securityStrong 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 controlsPreferred qualifications, capabilities and skills
10+ years developing, supporting, or leading reliability efforts for enterprise-scale applications and platformsExperience designing observability strategies (metrics, logs, traces) and operational dashboards tied directly to customer experience outcomesExperience reducing operational toil through self-service tooling, automation, and reliability-first engineering practicesExperience influencing cross-functional stakeholders (product, engineering, operations, risk) through clear reliability narratives and measurable outcomesExperience leading large-scale modernization, resiliency upgrades, or reliability transformations across multiple teams Work with stakeholders to define non-functional requirements and availability targets for the services in application and product lines
