Site Reliability Engineer III - AWS, Java and Kubernetes

Site Reliability Engineer III - AWS, Java and Kubernetes

Chicago, IL, United States and 1 more

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Job Information

Job Identification

210775116

Job Category

Software Engineering

Business Unit

Corporate Sector

Posting Date

08/06/2026, 12:44 PM

Locations

10 S Dearborn St, Chicago, IL, 60603, US

1111 Polaris Pkwy, Columbus, OH, 43240, US

Job Schedule

Full time

Base Pay/Salary

Chicago,IL $114,000.00-$155,000.00; Columbus,OH $104,500.00-$140,000.00

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.

• Formal training/certification in site reliability engineering and 3+ years experience applying SRE practices.
• Proficient in SRE fundamentals, programming/configuration tools (Python, Ansible, Terraform), and observability tools (Grafana, Prometheus, Datadog).
• Experience with cloud platforms, container orchestration (Kubernetes, ECS, Docker), and CI/CD tools (Jenkins, GitLab).