AWS EKS EXPERT

Job Title:
Location: Reston,VA
Duration: 12 Months
Visa: USC, GC, H1B and EAD
Contract Type: W2

This role is a blend of DevOps, MLOps, and infrastructure engineering, making it essential for the candidate to have both technical breadth and domain-specific expertise. Certifications is a plus.

Job Description:

We are looking for an AWS EKS expert to work on new initiatives and projects under Analytics CoE team and collaborate with business and technology teams. Can you let us know the Jobrole along with the rates?

Job Requirements

1. Kubernetes Cluster Management

Design, deploy, and maintain Kubernetes clusters in production environments.Ensure high availability, scalability, and security of Kubernetes infrastructure.Implement monitoring, logging, and alerting solutions for cluster health and performance.

2. COTS Product Integration

Integrate commercial off-the-shelf (COTS) software with Kubernetes clusters.Manage and troubleshoot issues arising from COTS product deployments within the Kubernetes ecosystem.

3. ML Workload Orchestration

Deploy and manage interactive and batch-based machine learning container workflows Integrate and optimize SageMaker container images for training and inference tasks.Monitor resource usage and optimize ML workloads for cost and performance efficiency.

4. Infrastructure as Code (IaC)

Develop and maintain infrastructure automation using Terraform.Write and maintain Terraform modules for Kubernetes, cloud infrastructure, and CI/CD pipelines.Enforce best practices for IaC, including version control, modularity, and code reviews.

5. CI/CD Pipelines and Version Control:

Create and manage CI/CD pipelines for deploying applications and Kubernetes manifests using GitLab.Ensure automation and testing in the software delivery process.Maintain version control practices for all infrastructure and application code.

6. Collaboration and Documentation:

Work closely with ML engineers, data scientists, and software developers to meet workload requirements.Document processes, configurations, and troubleshooting guides.Conduct knowledge-sharing sessions and training for team members.

Key Skills and Qualifications

Technical Expertise: Proficiency in Kubernetes (CKA or CKAD certification is a plus). Strong experience with Terraform for IaC. Familiarity with SageMaker, Docker, and containerized workflows. Solid understanding of GitLab CI/CD and version control principles.

Cloud and Networking: Hands-on experience with major cloud providers (AWS, Azure). Knowledge of Kubernetes networking, ingress controllers, and service meshes. Experience with cloud-native tools like Helm, Prometheus, Grafana, and Fluentd.

Machine Learning Workflow Support: Understanding of ML model deployment, training, and inference workflows. Knowledge of integrating SageMaker container images with Kubernetes.

Security: Knowledge of Kubernetes RBAC, secrets management, and pod security policies. Experience with scanning tools for containers and IaC.Collaboration and Communication

Additional Skills: Familiarity with other IaC tools (e.g., Pulumi, Ansible). Experience with advanced Kubernetes features like Operators and CRDs.