Lead Site Reliability Engineer

JOB DESCRIPTION

Assume a critical role in defining the future of a globally recognized firm and have a direct and significant effect in a realm tailored for top achievers in site reliability.

As a Lead Site Reliability Engineer at JPMorgan Chase within the Consumer and Community Banking, 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.

Job responsibilities

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

Uses enterprise-authorized AI capabilities within the work environment to accelerate major-incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.

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

Documents and shares knowledge within your organization via internal forums and communities of practice

Leads reuse-first adoption of AI-assisted reliability workflows across SDLC/toolchain practices (e.g., CI/CD quality checks, test/validation automation, and operational readiness), ensuring traceability/auditability, resiliency, and security controls.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience.

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

Demonstrated experience using enterprise-authorized AI capabilities within the work environment to improve SRE workflows (e.g., incident investigation support and knowledge capture) with strong validation habits and awareness of data sensitivity.

Ability to evaluate AI-assisted operational recommendations for correctness and risk, define appropriate guardrails for team usage, and ensure outcomes align to resiliency and security expectations.

Fluency in at least one programming language such as (e.g., Python, Java Spring Boot.)

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, 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

Ability to identify and solve problems related to complex data structures and algorithms

Preferred qualifications, capabilities, and skills

Deep expertise in public cloud platforms (AWS or equivalent), infrastructure automation tools (CloudFormation, Terraform), and capacity planning for large-scale environments, with a track record of driving DevOps and SRE adoption across teams.

Expertise in distributed systems building resilient systems

Ability to and collaborate across different levels and stakeholder groups

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