DevOps Engineer (Onsite)

As a DevOps Engineer you will make an impact by administering monitor and maintain production-grade Kubernetes clusters deployed in on-prem datacentre. You will be a valued member of the team and work closely with the Retail team.

In this role, you will:

• Perform cluster lifecycle operations including upgrades patching node provisioning and capacity planning.
• Implement and manage RBAC network policies Pod-Security Policies and Namespaces for multi-tenant environments.
• Maintain Ingress controllers service meshes and API gateways.
• Troubleshoot cluster-level issues including node failures pod scheduling and resource bottlenecks.
• Containerization & Orchestration
• Build and manage Docker images Compose files and private registries.
• Deploy and orchestrate microservices using Kubernetes Helm charts and Red Hat OpenShift.
• Optimize container resource usage autoscaling policies and affinity/anti-affinity rules.
• CI/CD Integration
• Design and maintain CI/CD pipelines using DevOps tools
• Automate deployment of containerized AI applications into Kubernetes clusters.
• Develop reusable pipeline templates and scripts for rapid onboarding and POC delivery.
• AI Workflow Enablement (ClearML)
• Integrate ClearML for experiment tracking model versioning and pipeline orchestration.
• Collaborate with AI/ML teams to deploy containerized models and automate GPU job scheduling.
• Build custom ClearML agents and workflows for reproducible experimentation and deployment.
• Scripting & Tooling
• Develop automation scripts in Shell Python
• Build internal tools to streamline cluster operations and observability.

Work model:

At Cognizant, we strive to provide flexibility wherever possible, and we are here to support a healthy work-life balance though our various wellbeing programs. Based on this role’s business requirements, this is an onsite position requiring 5 days a week in a client office in Bridgewater, NJ

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

• 12 years of experience in Kubernetes administration and DevOps.
• Strong hands-on expertise in Docker Kubernetes or OpenShift in on-prem environments.
• Deep understanding of container orchestration microservices and distributed systems.
• Experience with Helm GitOps and secure credential management.
• Proficiency in Linux administration Shell scripting and Python.
• Experience with ClearML or similar AI workflow tools (e.g. MLflow Kubeflow).

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 November 7, 2025.

The annual salary for this position is between $ 79,240 to $133,500 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.

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

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.

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“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.”