Site Reliability Engineer (SRE)

Capgemini • Irving, TX

2d

About The Position

Capgemini is seeking a Site Reliability Engineer to build and operate reliable, scalable, and secure platform services. The role combines DevOps practices, SRE principles, and software engineering to improve system reliability, automate operations, and support high-availability production environments. The engineer will work with engineering, platform, and product teams to build reliability into services and keep them performant, stable, and supportable at scale. The role is based in Raleigh, NC, with Dallas, TX; Durham, NC; Boston, MA; and Merrimack, MA also listed as locations.

The position focuses on resilient systems, developer productivity, and operational excellence through automation, observability, and engineering best practices. It involves supporting containerized workloads and on-premises services, cloud and on-prem infrastructure, distributed systems, and application delivery across AWS and Azure.

The posted base compensation range is $82,950–$135,300. The role may also be eligible for variable incentives, bonuses, or commissions. Capgemini states that regular, full-time employees may receive benefits according to local policy and eligibility, including paid time off, company holidays, personal days, sick leave, medical, dental and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent), and the posting states five (3) years of experience as a Site Reliability Engineer or closely related occupation designing and automating container and cloud-based platform products and infrastructure solutions in a production environment; alternatively, a master’s degree in one of those fields (or foreign education equivalent) and the posting states three (1) year of such experience.
• Experience applying Site Reliability Engineering principles to improve stability and platform availability for Kubernetes-based containerized workloads and on-premises services.
• Experience managing and interpreting large datasets using query languages and creating Power BI and Grafana dashboards and reports.
• Experience managing cloud and on-premises infrastructure with Infrastructure as Code tools, including Terraform and CloudFormation.
• Hands-on experience operating and monitoring distributed systems at scale, including logging and alerting with Datadog and Splunk.
• Experience supporting DevOps service delivery and operations using Jenkins, Azure DevOps, Team Foundation Version Control, and CI/CD automation.
• Experience developing software and automation solutions using Python.
• Knowledge of application scalability and resiliency practices on AWS and Azure, including Lambda and API Gateway.
• Strong development experience in scripting, automation, and integration across Linux and Windows environments.

Responsibilities

• Design, build, and operate resilient, scalable systems using DevOps, SRE, and software development best practices.
• Deliver high-availability services through automation, infrastructure as code, and proactive reliability engineering.
• Improve monitoring, logging, alerting, and observability for distributed systems.
• Support CI/CD automation, deployment workflows, and production tooling to reduce operational toil.
• Drive incident response, root cause analysis, and recovery improvements to minimize downtime.
• Partner with engineering teams to embed reliability into the software development lifecycle.
• Automate provisioning, configuration, and self-healing across cloud and on-premises environments.
• Validate resiliency and performance through testing, chaos engineering, and capacity planning.
• Develop and design products around SRE principles to improve stability and platform availability for containerized workloads and on-premises services using Kubernetes.
• Manage and interpret large datasets using query languages and create dashboards and reports with Power BI and Grafana.
• Manage cloud and on-premises infrastructure using Infrastructure as Code tools, including Terraform and CloudFormation.
• Build, operate, monitor, log, and alert distributed systems at scale using Datadog and Splunk.
• Support service delivery and operations with Jenkins, Azure DevOps, Team Foundation Version Control, and CI/CD automation.
• Develop software and automation solutions for application delivery, operations, and repeatable business processes using Python.
• Apply scalability and resiliency practices to applications deployed on AWS and Azure, including Lambda and API Gateway.
• Develop scripting, automation, and integrations across Linux- and Windows-based environments.

Benefits

• Paid time off, including vacation of 12–25 days depending on employee grade, company-paid holidays, personal days, and sick leave, according to policy.
• Medical, dental, and vision coverage, or provincial healthcare coordination in Canada.
• Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• The role may be eligible for variable incentives, bonuses, or commissions, depending on position and applicable laws.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level