About this opportunity
JPMorgan Chase & Co. lists this Site Reliability Engineer III - AWS, Java and Kubernetes opportunity in chicago, Illinois. Review the employer’s description below for duties, qualifications and application requirements.
Job description
There’s nothing more exciting than being at the center of a rapidly growing field in technology and applying your skillsets to drive innovation and modernize the world’s most complex and mission‑critical systems.
As a Site Reliability Engineer III at JPMorgan Chase within the Corporate Technology team, you will solve complex and broad business problems with 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 on 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.
Job 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
Required qualifications, capabilities, and skills
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.
Experience with continuous integration and continuous delivery tooling
Familiarity with container and container orchestration and troubleshooting common networking technologies and issues
Preferred qualifications, capabilities, and skills
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.
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Worksite address
chicago, IL, 60290, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.