AWS Kubernetes Engineer

AWS Kubernetes Engineer

Job Summary:

The AWS Kubernetes Engineer will be responsible for designing, implementing, and managing highly scalable, reliable, and secure cloud-native applications and infrastructure on Amazon Web Services (AWS) using Kubernetes. This role requires deep expertise in containerization, orchestration, cloud computing, and DevOps practices to build and maintain automated, production-grade environments for critical applications.

Key Responsibilities:

• Kubernetes Cluster Management & Orchestration:

• Design, deploy, and manage highly available and fault-tolerant Kubernetes clusters on AWS using services like Amazon Elastic Kubernetes Service (EKS) or self-managed Kubernetes.
• Implement and optimize container orchestration strategies, including deployment management, scaling, auto-healing, and resource allocation.
• Manage Kubernetes components such as API server, scheduler, controller manager, kubelet, and etcd, ensuring their health and performance.
• Utilize Kubernetes networking (CNI, service mesh like Istio or App Mesh) and storage solutions (CSI, EBS, EFS) for containerized applications.

• AWS Cloud Infrastructure Development:

• Provision, configure, and manage AWS cloud resources (e.g., EC2, VPC, ALB, RDS, S3, IAM, CloudWatch) to support Kubernetes deployments and application infrastructure.
• Implement Infrastructure as Code (IaC) using tools like Terraform or AWS CloudFormation to automate the provisioning and management of cloud resources.
• Ensure secure and compliant cloud environments by implementing best practices for network security, access control, and data encryption.

• CI/CD & DevOps Automation:

• Design, implement, and maintain robust Continuous Integration and Continuous Delivery (CI/CD) pipelines for containerized applications using tools like Jenkins, GitLab CI/CD, GitHub Actions, or AWS CodePipeline/CodeBuild.
• Automate deployment, testing, and release processes to ensure rapid and reliable software delivery.
• Develop and maintain scripts (e.g., Python, Bash) and automation tools to streamline operational tasks and improve efficiency.

• Monitoring, Logging & Troubleshooting:

• Implement comprehensive monitoring and alerting solutions for Kubernetes clusters and applications using tools such as Prometheus, Grafana, Datadog, or AWS CloudWatch Container Insights.
• Establish centralized logging solutions (e.g., ELK Stack, Fluentd, Sumo Logic) for effective troubleshooting and operational visibility.
• Proactively identify and resolve complex infrastructure and application issues within Kubernetes and AWS environments, including performance bottlenecks and stability concerns.

• Security & Compliance:

• Implement security best practices for Kubernetes (e.g., network policies, RBAC, pod security policies, secrets management with AWS Secrets Manager or Vault).
• Ensure compliance with industry standards and internal security policies.
• Conduct regular security audits and vulnerability assessments of the containerized environment.
• Collaborate with security teams to integrate security into the CI/CD pipeline.

Required Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or a closely related field.
• 6 to 8 years of progressive experience in DevOps, Cloud Engineering, or Infrastructure Engineering roles.
• At least 3 years of hands-on experience with Kubernetes, including cluster deployment, management, and troubleshooting.
• Strong experience with Amazon Web Services (AWS), including foundational services (EC2, VPC, S3, IAM) and container services (EKS, ECS).
• Proficiency in scripting languages such as Python or Bash.
• Experience with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.
• Solid understanding of CI/CD principles and experience with relevant tools.
• Familiarity with monitoring and logging tools for distributed systems.
• Strong understanding of networking concepts (TCP/IP, DNS, Load Balancing) and their application in cloud and container environments.
• Excellent problem-solving, analytical, and communication skills.