SRE - DevOps Engineer

Capgemini•Irving, TX
•$100,000 - $118,650

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 help build resilient systems, improve developer productivity, and promote operational excellence through automation, observability, and engineering best practices. The role partners with engineering, platform, and product teams to ensure services are designed for reliability and remain performant, stable, and supportable at scale. The position focuses on resilient systems and services across cloud and on-premises environments, including containerized workloads and distributed systems. It involves infrastructure as code, CI/CD automation, monitoring and observability, incident response, and reliability testing. The listed base compensation range is $100,000 to $118,650. The role may also be eligible for variable incentives, bonuses, or commissions. Benefits for regular full-time employees may include paid time off, company-paid holidays, personal days, sick leave, medical, dental, and vision coverage, retirement savings plans, life and disability insurance, and employee assistance programs, subject to local policy and eligibility.

Requirements

  • 9+ years of 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 using Python to support application delivery, operations, and repeatable business processes.
  • 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.
  • Key skills listed: Node.js, Python, DevOps, Jenkins, and AWS.

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 of 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 a 401(k) in the U.S. or RRSP in Canada.
  • Life and disability insurance.
  • Employee assistance programs.
  • Potential eligibility for variable incentives, bonuses, or commissions, depending on the position and applicable laws.
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