Senior DevOps & AI Platform Engineer (GCP) - REMOTE
Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Nov 10, 2026. Cognizant scores A on the Alion truth index.
Job Summary
Cognizant is seeking a Senior DevOps & AI Platform Engineer (GCP) to support Couche Tard Inc. This role is responsible for building and operating a secure, scalable, and automated Google Cloud Platform ecosystem that enables the rapid deployment of AI and Generative AI solutions into production environments.
The ideal candidate brings deep expertise in Google Cloud Platform (GCP), Terraform, Kubernetes, CI/CD automation, and cloud operations, along with experience supporting AI, MLOps, or LLMOps platforms. This individual will work closely with Cloud Architects, AI Engineers, Application Development teams, and Security teams to drive platform reliability, scalability, and operational excellence.
Work Model
Remote - United States
This position is fully remote and open to qualified candidates located within the United States.
The work model for this role may be subject to change based on project, client, or business requirements.
Responsibilities
- Build and maintain CI/CD pipelines supporting AI applications, APIs, cloud services, and model deployment workflows within Google Cloud Platform.
- Design, implement, and manage Infrastructure as Code (IaC) solutions using Terraform.
- Establish deployment pipelines and environment management processes across development, QA, staging, and production environments.
- Support the deployment and operationalization of AI and Generative AI solutions by leveraging Vertex AI and Gemini services.
- Implement monitoring, observability, logging, alerting, and operational dashboards utilizing GCP-native and industry-standard tools.
- Partner with security teams to implement IAM controls, networking security, secrets management, and governance best practices.
- Enable automated testing, release management, deployment validation, rollback procedures, and production support capabilities.
- Continuously improve platform reliability, scalability, performance, engineering productivity, and cloud cost optimization.
Required Qualifications
- Bachelor’s degree in computer science, Information Technology, Engineering, or a related discipline.
- 5+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or Site Reliability Engineering (SRE).
- Strong hands-on experience with Google Cloud Platform (GCP).
- Proven success in building and supporting CI/CD pipelines within enterprise cloud environments.
- Extensive experience with Terraform and Infrastructure as Code (IaC) practices.
- Hands-on experience with Docker, Kubernetes, and preferably Google Kubernetes Engine (GKE).
- Experience implementing cloud monitoring, observability, logging, and alerting solutions.
- Strong understanding of Identity and Access Management (IAM), networking, cloud security, and secrets management.
- Experience supporting highly available production environments.
- Strong troubleshooting, automation, and problem-solving skills.
- Excellent written and verbal communication skills.
Preferred Qualifications
- Experience deploying and supporting AI/ML workloads within Google Cloud environments.
- Hands-on experience with Vertex AI, Gemini, MLOps, or LLMOps frameworks.
- Experience managing AI application deployment pipelines and AI platform operations.
- Experience with GitHub Actions, Cloud Build, Jenkins, ArgoCD, or similar DevOps automation tools.
- Experience implementing FinOps and cloud cost optimization initiatives.
- Familiarity with Site Reliability Engineering (SRE) principles and operational excellence practices.
- Google Cloud certifications such as:
- Professional Cloud DevOps Engineer
- Professional Cloud Architect
- Professional Machine Learning Engineer
Salary and Other Compensation
The annual salary for this position is $62,500 - $99,000 USD, depending on experience, qualifications, geographic location, and other job-related factors.
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.
Benefits
Applications will be accepted until the position is filled, subject to applicable law.
Cognizant offers the following benefits, subject to eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off (PTO)
- 401(k) plan and company contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan (ESPP)
- Employee Assistance Program (EAP)
- Education Assistance
- Flexible Spending Accounts (FSA)
- Health Savings Account (HSA)
- Commuter Benefits
- Family Building Benefits
- Adoption Assistance
- Wellness Programs and Resources
The disclosed salary range has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. Cognizant reasonably expects that this position will accept applications for no less than three (3) days and no more than forty-five (45) days from the posting date, subject to applicable law.
Why Cognizant?
At Cognizant, you'll work on cutting-edge cloud and AI initiatives supporting one of the world's leading retail organizations. You'll have opportunities to expand your expertise across Google Cloud Platform, Terraform, Kubernetes, Vertex AI, MLOps, LLMOps, and Generative AI technologies while collaborating with highly skilled engineering teams focused on innovation and business transformation.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Even if you don't meet every requirement listed, we encourage you to apply. We value diverse experiences, transferable skills, and unique perspectives that contribute to our team's success.