Leads site reliability engineering for enterprise-scale services by defining non-functional requirements, availability targets, SLIs, and SLOs. Designs observability and reliability capabilities, improves scalability and operational readiness, reduces toil, mentors engineers, and drives modernization. Builds automation using Python or Java and AWS, while governing secure, responsible use of AI-assisted software development tools, ensuring validation, traceability, resiliency, and security across engineering workflows.
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.
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-facing services
- Experience establishing and managing service level indicators and service level objectives with stakeholders, including measurement, alerting, and continuous improvement
- Proficiency in Python and/or Java for building automation, tooling, and reliability improvements
- Knowledge of identity and access management concepts and secure access patterns in enterprise environments
- Experience with Amazon Web Services, including database platforms and data movement patterns such as extract, transform, load processes
- 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
Preferred qualifications, capabilities and skills
- 10+ years developing, supporting, or leading reliability efforts for enterprise-scale applications and platforms
- Experience designing observability strategies (metrics, logs, traces) and operational dashboards tied directly to customer experience outcomes
- Experience reducing operational toil through self-service tooling, automation, and reliability-first engineering practices
- Experience influencing cross-functional stakeholders (product, engineering, operations, risk) through clear reliability narratives and measurable outcomes
- Experience leading large-scale modernization, resiliency upgrades, or reliability transformations across multiple teams
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
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