Site Reliability Engineer
Listed on 2026-10-17
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IT/Tech
SRE/Site Reliability, Cloud Computing: Infrastructure & Operations, Systems Engineer
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired bya collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
Job DescriptionWe are seeking a highly motivated Site Reliability Engineer to help build and operate reliable, scalable, and secure services across our platform. This role is designed for someone who combines strong Dev Ops practices, modern SRE principles, and software engineering experience to improve system reliability, automate operations, and support high-availability production environments.
The ideal candidate will be passionate about building resilient systems, improving developer productivity, and driving operational excellence through automation, observability, and engineering best practices. This role partners closely with engineering, platform, and product teams to ensure services are built for reliability from the start and remain performant, stable, and supportable at scale.
Key Skills – Node.js, Python, Dev Ops, Jenkins, AWS
Preferred Qualifications- 6+ 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 in managing cloud and on-premises infrastructure using Infrastructure as Code tools, including Terraform, and Cloud Formation.
- Hands‑on experience building, operating, monitoring, logging, and alerting distributed systems at scale using Datadog and Splunk.
- Experience supporting Dev Ops practices for service delivery and operations using Jenkins, Azure Dev Ops, Team Foundation Version Control, and CI/CD automation.
- Experience developing software and automation solutions to support 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.
- Design, build and operate resilient, scalable systems using Dev Ops, 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‑prem environments.
- Validate resiliency and performance through testing, chaos engineering, and capacity planning.
The base compensation range for this role in the posted location is: $61087 - $104364. Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting.
This range may be subject to change as permitted by…
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