Sr DevOps Engineer (Remote)

Sr DevOps Engineer (Remote) Important Disclaimers **Please note: A few of our roles may require in-person interviews at Cognizant offices or client locations, depending on project or client needs.** **Candidate must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future** In This Role, You Will Design, implement, and maintain end-to-end CI/CD pipelines using CloudBees CI/CD, CloudBees CD/RO, and pipeline orchestration platforms to enable automated, reliable, and scalable software delivery across multiple environments. Manage and enhance DevSecOps practices by integrating security scanning, vulnerability management, compliance validation, secrets management, and policy enforcement throughout the Software Development Lifecycle (SDLC). Develop, automate, and support cloud-native deployment solutions on AWS, Azure, and GCP, including infrastructure provisioning, configuration management, environment onboarding, and Infrastructure-as-Code (IaC) implementation. Collaborate with development, QA, security, release management, and operations teams to streamline release processes, improve deployment efficiency, reduce lead times, and ensure successful application delivery. Implement and support GitOps, deployment orchestration, observability, monitoring, logging, incident management, and operational governance frameworks to improve platform reliability, resilience, and proactive issue resolution. Leverage Generative AI (GenAI) and Agentic AI solutions to accelerate DevOps operations, automate repetitive tasks, assist with root cause analysis, optimize deployment workflows, generate technical documentation, and enhance engineering productivity. Design and implement AI-enabled automation frameworks for intelligent release orchestration, deployment validation, self-healing operations, incident triage, and decision support across CI/CD and cloud platforms. Drive continuous improvement through automation, pipeline optimization, self-service enablement, process standardization, and adoption of best practices in DevOps, DevSecOps, Cloud Engineering, and AI-driven operations. Troubleshoot complex deployment, integration, and infrastructure issues across CI/CD pipelines, cloud environments, container platforms, and enterprise DevOps toolchains. Support tool upgrades, integrations, migrations, and operational enhancements involving CloudBees, source control platforms, artifact repositories, security tools, container platforms, cloud services, and AI-powered developer productivity tools. Establish operational metrics, dashboards, reporting, and governance processes to improve deployment visibility, audit readiness, release quality, platform health, and overall engineering effectiveness. Mentor and guide engineering teams on DevOps, DevSecOps, CI/CD, cloud-native technologies, automation strategies, GenAI adoption, Agentic AI implementation, and deployment best practices to drive organizational maturity and innovation Location: Canada Work model: Remote We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in Canada. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs. What You Need To Have To Be Considered DevOps Scripting-[Bash, Groovy/Python] CI/CD Pipeline creation Cloudbees CD/RO AWS - Agentic AI GitOps/ArgoCD We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role. Salary And Other Compensation Applications will be accepted until 8/14/2026. The annual salary for this position is between $45K (CAD) – 91K(CAD) depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans. Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Design and maintain end-to-end CI/CD pipelines and DevSecOps practices across AWS, Azure, and GCP. Leverage Generative and Agentic AI to automate DevOps operations and optimize deployment workflows.

Candidates must have expertise in scripting with Bash, Groovy, or Python and experience with Cloudbees and GitOps/ArgoCD. Legal authorization to work in the US without sponsorship is required, despite the role being based in Canada.

• Discretionary annual incentive program • Wellbeing programs

• PythonPreferred
• Amazon Web ServicesPreferred

Identified from the job description. Confirm important requirements above.

• Bash
• Groovy
• Python
• Cloudbees CI/CD
• Cloudbees CD/RO
• AWS
• Agentic AI
• GitOps
• ArgoCD
• DevSecOps
• Infrastructure-as-Code
• Generative AI
• CI/CD Pipeline Creation
• Cloud Engineering
• Container Platforms
• Observability

• Software
• Technology
• Engineering
• Consulting
• Data & Analytics

Minimum experience

5+ years

Apply by

Sep 9, 2026

Posting language

English

Working hours

40 hours per week

Seniority

Mid-Senior level