Job Summary
15+ years of experience in DevOps Infrastructure Automation and Kubernetes administration.
Proven leadership in managing on-prem container orchestration platforms at scale.
Architectural understanding of microservices distributed systems and secure automation frameworks.
Deep expertise in Docker Kubernetes OpenShift and CI/CD tooling.
Experience with Helm GitOps and secure credential management.
Strong proficiency in Linux administration Shell scripting and Python.
Responsibilities
Kubernetes Cluster Leadership
Architect administer and scale enterprise-grade Kubernetes clusters in on-prem datacentre.
- Lead cluster lifecycle management: provisioning upgrades patching node pools and capacity planning.
Define and enforce multi-tenant governance using RBAC network policies Pod-Security Policies and Namespaces.
Implement and optimize Ingress controllers service meshes and API gateways for secure traffic routing.
Establish high availability disaster recovery and backup strategies for cluster components and workloads.
Drive root cause analysis and resolution of complex cluster-level issues.
Containerization & Orchestration Strategy
Oversee containerization standards using Docker Compose and private registries.
Lead deployment and orchestration of microservices via Kubernetes Helm.
Define resource optimization strategies including autoscaling affinity rules and quota enforcement.
CI/CD Architecture
Architect and govern CI/CD pipelines
Standardize build and release processes across diverse tech stacks
Design reusable pipeline frameworks and automation templates for rapid onboarding and delivery.
Integrate CI/CD with Kubernetes for seamless rollout rollback and canary deployments.
AI Workflow Enablement (ClearML)
Lead integration of ClearML for experiment tracking model versioning and pipeline orchestration.
Collaborate with AI/ML teams to containerize models and automate GPU job scheduling.
Build and maintain custom ClearML agents and workflows for reproducible experimentation and deployment.
Scripting & Tooling
Develop robust automation scripts in Shell Python
Build internal tools and dashboards to enhance infrastructure observability and operational efficiency.
Understanding of NIM services CUDA frameworks & libraries/models from OpenAI/Huggingface are good-to-have from Infrastructure perspective.
Certifications Required
as applicable
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.
Language requirements vary depending on roles, but we ask that all candidates have basic English proficiency for company-wide communications purposes. For roles based in Quebec, professional English proficiency is required, as you’ll deliver services to and collaborate with stakeholders outside the province who may not speak French.
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, provincial or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] with your request and contact information.
