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 Lead Site Reliability Engineer at JPMorgan Chase within Corporate Technology, you hold a leadership role in your team, demonstrate strong knowledge across multiple technical domains, and advise others on the technical and business issues facing them. Take lead and conduct resiliency design reviews, break up complex problems into digestible work for other engineers, act as a technical lead for medium to large-sized products, and provide advice and mentoring to other engineers. You work with your fellow stakeholders to define non-functional requirements (NFRs) and availability targets for the services in your application and product lines. Job responsibilities Design, implement, and optimize SRE best practices for AI/ML infrastructure, focusing on reliability, scalability, security, and operational efficiency. Develop and maintain automated monitoring, alerting, and incident response systems. Manage day-to-day support issues, conduct root cause analysis, and drive continuous improvement to reduce repeat errors and enhance system stability. Demonstrates and champions site reliability culture and practices and exerts technical influence throughout your team Leads initiatives to improve the reliability and stability of your team’s applications and platforms using data-driven analytics to improve service levels Collaborates with team members to identify comprehensive service level indicators and stakeholders to establish reasonable service level objectives and error budgets with customers Drives team adoption of enterprise-authorized AI capabilities within the work environment to improve reliability delivery speed and operational efficiency (e.g., drafting/runbook hygiene, incident learning capture, and backlog prioritization), with human-in-the-loop validation and appropriate handling of sensitive data. Demonstrates a high level of technical expertise within one or more technical domains and proactively identifies and solves technology-related bottlenecks in your areas of expertise Acts as the main point of contact during major incidents for your application and demonstrates the skills to identify and solve issues quickly to avoid financial losses Establishes reuse-first practices for AI-assisted workflows across team delivery and operational routines, reinforcing resiliency and security expectations and ensuring traceability/auditability of changes. Documents and shares knowledge within your organization via internal forums and communities of practice Required qualifications, capabilities, and skills 8+ years in site reliability or infrastructure engineering roles. Deep expertise in AWS cloud services, infrastructure automation (Terraform, CloudFormation), and monitoring tools (Prometheus, Grafana, CloudWatch). Strong problem-solving, communication, and collaboration skills. Experience with CI/CD pipelines, operational stability, and risk management. Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience). Experience leading a team in the safe use of enterprise-authorized AI capabilities within the work environment for reliability engineering workflows, including validation habits and awareness of data sensitivity. Ability to set team-level expectations for reviewing AI-assisted recommendations and escalating uncertain decisions while maintaining resiliency, security, and auditability outcomes. Deep proficiency in reliability, scalability, performance, security, enterprise system architecture, toil reduction, and other site reliability best practices with the ability to implement these practices within an application or platform Fluency in at least Python programming language and deep knowledge of software applications and technical processes with emerging depth in one or more technical disciplines Proficiency and experience in observability such as white and black box monitoring, SLO alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc. Proficiency in continuous integration and continuous delivery tools (e.g., Jenkins, GitLab, Terraform, etc.) Experience with container and container orchestration (e.g., ECS, Kubernetes, Docker, etc.) Experience with troubleshooting common networking technologies and issues and drive to self-educate and evaluate new technology Strong communication skills with ability to mentor and educate others on site reliability principles and practices Preferred qualifications, capabilities, and skills Certified in SRE