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
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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Acerca de Cognizant
Cognizant (Nasdaq: CTSH) es un creador de soluciones de IA y proveedor de servicios tecnológicos que conecta la inversión en IA con el valor empresarial mediante el desarrollo de soluciones de IA full‑stack para sus clientes. Su profundo conocimiento de la industria, junto con su experiencia en procesos e ingeniería, permite incorporar el contexto único de cada organización en sistemas tecnológicos que amplifican el potencial humano, generan resultados tangibles y mantienen a las empresas a la vanguardia en un entorno en constante cambio. Más información en cognizant.ai o @cognizant.
Información adicional sobre el empleo
La información sobre la compensación es exacta en la fecha de publicación de este anuncio. Cognizant se reserva el derecho de modificar esta información en cualquier momento, de conformidad con la legislación aplicable.
Es posible que se solicite a los solicitantes que asistan a entrevistas de forma presencial o mediante videoconferencia. Asimismo, durante cada entrevista, los candidatos podrán estar obligados a presentar un documento de identidad válido emitido por el estado o por el gobierno.
Cognizant es un empleador que ofrece igualdad de oportunidades. Su solicitud y candidatura no se evaluarán en función de la raza, el color, el sexo, la religión, el credo, la orientación sexual, la identidad de género, el origen nacional, la discapacidad, la información genética, el embarazo, la condición de veterano ni cualquier otra característica protegida por las leyes federales, estatales o locales.
