Site Reliability Engineer

As a Site Reliability Engineer at JPMorgan Chase within the Commercial & Investment Banking division you will solve complex and broad business problems using simple and straightforward solutions. Through code and cloud infrastructure you will configure maintain monitor and optimize applications and their associated infrastructure to independently decompose and iteratively improve existing solutions. You are a significant contributor to your team by sharing your knowledge of end to end operations availability reliability and scalability of your application or platform.

Key Responsibilities:

Guide and assist others in building appropriate level designs and gaining consensus from peers where appropriate

Collaborate with other software engineers and teams to design and implement deployment approaches using automated continuous integration and continuous delivery pipelines

Work with software engineers and teams to design develop test and implement availability reliability scalability and solutions for applications

Implement infrastructure configuration and networks as code for applications and platforms in your remit

Collaborate with technical experts key stakeholders and team members to resolve complex problems

Understand service level indicators and utilize service level objectives to proactively resolve issues before they impact customers

Support adoption of site reliability engineering best practices within your team

Required Skills:

Formal training or certification in software engineering concepts and 3 years of applied experience

Proven experience in reliability scalability performance security enterprise system architecture tool reduction and SRE best practices

Proficient in at least one programming language (Python Java/Spring Boot etc.)

Experience with observability tools such as Prometheus Grafana Datadog Splunk and others

Strong understanding of monitoring ing telemetry and service level objectives

Knowledge of CI/CD tools such as Jenkins GitLab or Terraform

Hands on experience with container orchestration (EKS Kubernetes Docker)

Experience troubleshooting common networking issues

Experience implementing and maintaining SLO/SLA frameworks chaos engineering (Gremlin Chaos Monkey)

Comfortable working with traditional metrics (latency availability)

Knowledge of infrastructure components such as routers load balancers cloud products container systems compute storage and networks

Hands on experience with tools like Jira Confluence ServiceNow Netcool

Ability to identify new technologies and tools to improve operations through monitoring and logging analysis