Senior Site Reliability Engineer - AWS, Java & Kubernetes

JPMorganChase; Chicago (IL); On-site; USD 130,000 - 190,000; Full time

Job summary

JPMorgan Chase in Chicago is seeking an experienced Site Reliability Engineer III to strengthen availability and reliability of mission-critical systems. You will tackle complex operational problems through code and cloud infrastructure, to independently decompose and iteratively improve solutions across applications and platforms.

The role emphasizes end-to-end operations, SLO/SLI-driven reliability, and collaboration with software engineers to automate deployments and monitoring.

Qualifications

• Formal training or certification on site reliability engineering concepts and 3+ years applied experience
• Exposure to or hands-on experience in supporting SRE practices for Data management/migration platforms and products, with familiarity in on-prem/public cloud infrastructure components such as Compute(Linux/windows), Storage, Networks and Database.
• Understanding of how to apply SRE fundamentals — including monitoring, incident response, capacity awareness, and toil identification — with the ability to define and track relevant SLOs/SLIs.
• Proficient in site reliability culture and principles and familiarity with how to implement site reliability within an application or platform
• Proficient in at least one programming language or configuration/resource management tools such as Python, Ansible and Terraform.
• Experience in observability including white and black box monitoring, service level objective alerting, and telemetry collection using tools such as Grafana, Dynatrace, Prometheus, Datadog, Splunk, etc.
• Experience with platforms and applications hosted on public/private/hybrid cloud environments, including container orchestration technologies such as Kubernetes, ECS, and Docker.
• Experience with continuous integration and continuous delivery tools such as Jenkins, GitLab, or Terraform.
• Familiarity with troubleshooting common networking technologies and issues.

Responsibilities

• Guides and assists others in the areas of building appropriate level designs and gaining consensus from peers where appropriate, supporting adoption of site reliability engineering best practices within your team
• Collaborates with other software engineers and teams to design, develop, test, and implement deployment and reliability approaches using automated continuous integration and continuous delivery pipelines
• Uses enterprise-authorized AI capabilities within the work environment to accelerate incident triage, troubleshooting, and post-incident analysis, validating outputs and handling operational data according to sensitivity and security requirements.
• Implements infrastructure, configuration, and network as code for the applications and platforms in your remit
• Collaborates with technical experts, key stakeholders, and team members to resolve complex problems and proactively address issues using service level indicators and objectives before they impact customers
• Applies enterprise-authorized AI capabilities within the work environment to identify patterns in operational signals that indicate reliability risk or recurring toil, prioritizing reuse-first improvements tied to SLO outcomes.
• Familiar with availability, reliability, scalability, and solutions in their applications and works with partners to improve these outcomes iteratively
• Proactively recognizes road blocks and identifies improvements to solve business problems, including exploring new technologies where appropriate

Skills

Python

Ansible

Terraform

Monitoring & Observability

CI/CD Practices

Cloud Platforms

Networking

Education

SRE training/certification

Tools

Grafana

Dynatrace

Prometheus

Datadog

Splunk

Kubernetes

ECS

Docker

Jenkins

GitLab

Job description

JPMorgan Chase in Chicago is seeking an experienced Site Reliability Engineer III to strengthen availability and reliability of mission-critical systems. You will tackle complex operational problems through code and cloud infrastructure, to independently decompose and iteratively improve solutions across applications and platforms.

The role emphasizes end-to-end operations, SLO/SLI-driven reliability, and collaboration with software engineers to automate deployments and monitoring.