Site Reliability Engineer

Capgemini; Atlanta (GA); On-site; USD 61,000 - 104,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, vision coverage

Retirement savings plans (401(k))

Life and disability insurance

Employee assistance programs

Job summary

Capgemini is seeking a Site Reliability Engineer to build and operate reliable, scalable services across our platform. You will blend DevOps, SRE, and software skills to automate operations, support high-availability production environments, and improve developer productivity.

The ideal candidate will drive reliability from the start, partner with engineering, and implement best practices for monitoring, logging, and automated resilience at scale.

Qualifications

• 6+ years working on Site Reliability Engineering or equivalent.
• Experience with containerized workloads and Kubernetes.
• Experience with large data sets, dashboards (Power BI, Grafana).
• Infrastructure as Code with Terraform and CloudFormation.
• Observability with Datadog and Splunk; CI/CD tooling (Jenkins, Azure DevOps).
• Python scripting for automation and delivery pipelines.
• AWS and Azure cloud expertise, including lambda and API Gateway.
• Linux and Windows scripting, automation, and integration.

Responsibilities

• Design, build and operate resilient, scalable systems using DevOps, SRE, and software development best practices.
• Deliver high-availability services through automation and infrastructure as code.
• Improve monitoring, logging, alerting, and observability for distributed systems.
• Support CI/CD automation, deployment workflows, and production tooling.
• Drive incident response, root cause analysis, and recovery improvements.
• Partner with engineering teams to embed reliability into the SDLC.
• Automate provisioning, configuration, and self-healing across cloud and on-prem environments.
• Validate resiliency and performance through testing, chaos engineering, and capacity planning.

Skills

Node.js

Python

DevOps

Jenkins

AWS

Tools

Terraform

CloudFormation

Datadog

Splunk

Power BI

Grafana

Jenkins

Azure DevOps

Team Foundation Version Control

CI/CD automation

Job description

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 organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Job Description

We 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 DevOps 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, DevOps, 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 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 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.

Key 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‑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 law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Benefits

Capgemini offers a comprehensive, non‑negotiable benefits package to all regular, full‑time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice

Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.