Role: SENIOR Devops Lead – Experience on Kubernetes
Location: Candidates will need to work out of the Client’s office in New York in a hybrid mode.
This role is not able to offer visa transfer or sponsorship, now or in the future
Applications will be accepted until May 31st, 2026
About the Role
Deep hands-on experience with managed Kubernetes platforms across major cloud providers, including:
- Google Kubernetes Engine (GKE) – cluster architecture, networking, security, upgrades, and operations
- Amazon EKS – control plane and worker node architecture, networking (VPC, CNI), security, and scaling
- Azure Kubernetes Service (AKS) – cluster design, identity integration, networking, and lifecycle management
- Hands-on experience with hybrid and edge Kubernetes platforms, such as:
- Google Distributed Cloud (GDC)
- AWS Outposts / EKS Anywhere
- Azure Arc-enabled Kubernetes
Including fleet management, hybrid connectivity, and centralized governance.
- Strong Kubernetes expertise across all environments:
- Deployments, StatefulSets, Services, Ingress Controllers, PV/PVC, ConfigMaps, Secrets
- Autoscaling (HPA/VPA), Pod Disruption Budgets, resource quotas
- Container runtime fundamentals and cluster-level security best practices
- Extensive experience deploying containerized applications using Helm charts across Dev, QA, UAT, Staging, and Production environments in multi-cloud setups.
- Strong experience designing and operating CI/CD pipelines using:
- GitHub Actions (GitHub Workflows)
- Integration with cloud-native services such as AWS CodeBuild/CodePipeline, Azure DevOps, or Google Cloud Build
- Hands-on Docker experience:
- Image design and optimization
- Multi-stage builds
- Vulnerability scanning and image hardening
- Managing and consuming images from artifact registries such as GCR/Artifact Registry, Amazon ECR, and Azure Container Registry
- Strong troubleshooting skills across Kubernetes and cloud infrastructure:
- Networking (CNI, load balancers, ingress controllers, DNS)
- Container and pod failures
- Node and cluster-level issues
- Cross-cloud observability and monitoring tools
Salary and Other Compensation: The annual salary for the position is between $110,000/year - $130,000/year and depends on experience and other qualifications. 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: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
- Medical/Dental/Vision/Life Insurance
- Paid holidays plus Paid Time Off
- 401(k) plan and contributions
- Long-term/Short-term Disability
- Paid Parental Leave
- Employee Stock Purchase Plan
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About us
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, building the bridge between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization’s unique context into technology systems that amplify human potential, realize tangible returns and keep global enterprises ahead in a fast-changing world. See how at www.cognizant.com or @cognizant.
Additional employment information
Compensation 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.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
