AWS Kubernetes

REQUIRED QUALIFICATIONS

Cloud Platform Expertise

• Extensive hands-on experience with AWS compute stack (EC2, ECS, EKS, Lambda, Auto Scaling) and storage services (EBS, EFS, S3, FSx, Glacier, Storage Gateway)
• Demonstrated expertise in designing and implementing AWS cloud architectures with focus on scalability, compute & storage optimization, security, and cost efficiency
• Strong understanding of AWS networking (VPC, Subnets, Security ACLs), IAM, infrastructure-as-code (CloudFormation/Terraform), and security best practices

Kubernetes & Container Technologies

• Deep expertise in Kubernetes architecture, deployment patterns, and operations
• Proficiency with container orchestration including pod scheduling, service mesh, ingress controllers, and cluster autoscaling
• Experience with Helm charts, Kubernetes operators, and GitOps workflows
• Knowledge of container security, monitoring, and troubleshooting

Linux Systems Administration

• Strong Linux systems administration background with expertise in RHEL, Ubuntu, or similar distributions
• Advanced shell scripting (Bash, Python) for automation and infrastructure management
• Solid understanding of Linux networking, storage permissions, security hardening, and performance tuning

PREFERRED QUALIFICATIONS

• Experience with CI/CD pipelines and DevOps tooling (AWS Code*, Jenkins, GitLab CI)
• Familiarity with infrastructure-as-code practices and tools
• Knowledge of monitoring and observability platforms (Prometheus, Grafana, ELK stack)
• Understanding of genomics or bioinformatics workflows is a plus

KEY RESPONSIBILITIES

• Design and implement Kubernetes-based container platforms on AWS EKS
• Architect cloud solutions that optimize for performance, reliability, and cost-efficiency
• Establish best practices for container deployment, scaling, and lifecycle management
• Implement infrastructure automation and self-service capabilities
• Provide technical guidance on cloud migration strategies and containerization approaches
• Troubleshoot complex infrastructure issues across the container and cloud stack
• Collaborate with development teams to optimize application deployment patterns
• Document architectural decisions, runbooks, and operational procedures
• Support DevOps practices and CI/CD pipeline integration