below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$144,375–$215,000.
Based on 240 similar postings.
Employer
About JPMorgan Chase
JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.
JPMorgan Chase currently has
1226 open roles
on FindRole.
Listed pay typically runs
$156,750–$215,000
across 5 roles with salary data.
As a Lead Site Reliability Engineer within the Corporate Technology /Infrastructure Platforms Client Solutions team, you will provide technical leadership and mentorship to other engineers. You will conduct resiliency design reviews, break down complex problems into manageable tasks, and lead initiatives to improve application stability using data-driven analytics. Your daily work involves establishing service level objectives, managing major incidents, and championing site reliability culture. You will utilize enterprise-authorized AI capabilities to accelerate incident triage, troubleshooting, and post-incident analysis while ensuring data security. Required skills include proficiency in Python, Java/Spring Boot, or .Net, along with experience in container orchestration, CI/CD practices, and observability. You must demonstrate expertise in scalability, performance, and security to solve technical bottlenecks within large-scale financial services technology platforms.
Conduct resiliency design reviews and break down complex problems into manageable tasks for other engineers.
Lead initiatives to improve application reliability and stability using data-driven analytics to identify technology bottlenecks.
Collaborate with stakeholders to establish service level indicators, objectives, and error budgets for customers.
Use enterprise-authorized AI to accelerate major-incident triage, troubleshooting, and post-incident analysis.
Serve as the main point of contact during major incidents to identify and resolve issues quickly.
Provide technical expertise, advice, and mentorship to other engineers across multiple technical domains.
Lead the adoption of AI-assisted reliability workflows across SDLC practices, including CI/CD and test automation.
Evaluate AI-assisted operational recommendations for correctness, risk, and alignment with security expectations.
What we're looking for
Formal training or certification on site reliability engineering concepts and 5+ years of applied experience.
Demonstrated proficiency in reliability, scalability, performance, security, enterprise system architecture, and toil reduction.
Fluency in at least one programming language such as Python, Java/Spring Boot, or .Net.
Demonstrated experience using enterprise-authorized AI capabilities to improve SRE workflows with strong validation habits and data sensitivity awareness.
Ability to evaluate AI-assisted operational recommendations for correctness, risk, and alignment with resiliency and security expectations.
Proficient knowledge in observability, including white and black box monitoring, SLO alerting, and telemetry collection.
Proficiency with continuous integration, continuous delivery practices, containerization, and container orchestration.