SRE - DevOps Engineer

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, * 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.

• 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 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.

The base compensation range for this role in the posted location is:86129 to 127189

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.

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.

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 by a 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., 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.