Site Reliability Engineer (SRE)

Capgemini•Atlanta, GA

About The Position

Capgemini is seeking a Site Reliability Engineer to build and operate reliable, scalable, and secure services across its platform. The role combines DevOps practices, modern SRE principles, and software engineering to improve system reliability, automate operations, and support high-availability production environments. The engineer will partner with engineering, platform, and product teams to build reliability into services and ensure they remain performant, stable, and supportable at scale. The role is based in Raleigh, North Carolina, with Dallas, Texas; Durham, North Carolina; Boston, Massachusetts; and Merrimack, Massachusetts also listed as location options. The position involves designing and operating resilient systems, improving observability, supporting delivery automation, and responding to production incidents. The engineer will also automate provisioning and configuration across cloud and on-premises environments and validate reliability through testing, chaos engineering, and capacity planning. The stated base compensation range is $82,950–$135,300. Regular, full-time employees may receive a benefits package that includes 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. Eligibility and benefits vary by local policy. Additional variable incentives, bonuses, or commissions may also be available depending on the position and applicable laws.

Requirements

  • Demonstrated experience developing and designing products around Site Reliability Engineering principles to improve stability and platform availability for containerized workloads and on-premises services using Kubernetes.
  • Experience managing and interpreting large datasets using query languages and creating dashboards and reports with Power BI and Grafana.
  • Strong background managing cloud and on-premises infrastructure using infrastructure-as-code tools, including Terraform and CloudFormation.
  • Hands-on experience building, operating, monitoring, logging, and alerting distributed systems at scale using Datadog and Splunk.
  • Experience supporting DevOps practices for service delivery and operations using Jenkins, Azure DevOps, Team Foundation Version Control, and CI/CD automation.
  • Experience developing software and automation solutions for application delivery, operations, and repeatable business processes using Python.
  • Knowledge of scalability and resiliency practices for applications deployed on AWS and Azure, including Lambda and API Gateway.
  • Strong development experience in scripting, automation, and integration across Linux- and Windows-based environments.
  • Bachelor’s degree in Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent), and stated experience of five (3) years 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 stated experience of three (1) year in such an occupation and work. The posting presents the experience figures with both five/three and parenthetical 3/1 values.

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.

Benefits

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