DevOps Engineer (Docker and Kubernetes certified)

5 Months ago • 5-8 Years • Devops

Job Summary

Job Description

This remote position seeks a skilled DevOps Engineer with 5-8 years' experience and Docker & Kubernetes certification. Responsibilities include automating, deploying, and managing cloud infrastructure and CI/CD pipelines; deploying, managing, and troubleshooting containerized applications using Docker and Kubernetes; automating infrastructure provisioning; monitoring system performance; collaborating with development and operations teams; optimizing cloud environments; implementing security best practices; managing and optimizing Kubernetes clusters; developing and maintaining IaC; performing system updates; and leading DevOps initiatives. The ideal candidate will possess expertise in Kubernetes deployment, scaling, and monitoring; scripting languages (Bash, Python, or Go); IaC tools (Terraform, Ansible, or CloudFormation); AWS, Azure, or GCP; networking concepts; GitOps principles; logging and monitoring tools; and Linux system administration.
Must have:
  • 5-8 years DevOps experience
  • Docker & Kubernetes certified
  • CI/CD pipeline implementation
  • Kubernetes deployment & monitoring
  • IaC tools (Terraform, Ansible)
  • Cloud experience (AWS, Azure, GCP)
  • Scripting (Bash, Python, Go)
  • Linux system administration
Good to have:
  • CKS or other cloud certifications
  • Service mesh technologies
  • Serverless computing
  • GitOps workflows
  • Kubernetes operators
  • DevSecOps experience

Job Details

This is a remote position.

Job Summary:

We are seeking a skilled DevOps Engineer with 5-8 years of experience and Docker & Kubernetes certification to join our dynamic team. The ideal candidate will be responsible for automating, deploying, and managing cloud infrastructure and CI/CD pipelines to support high-availability applications. You will play a key role in enhancing system reliability, scalability, and security.

Key Responsibilities:

  • Design, implement, and maintain CI/CD pipelines using tools such as Jenkins, GitLab CI/CD, or CircleCI.

  • Deploy, manage, and troubleshoot containerized applications using Docker and Kubernetes.

  • Automate infrastructure provisioning using Terraform, Ansible, or CloudFormation.

  • Monitor system performance and troubleshoot issues using Prometheus, Grafana, ELK Stack, or Datadog.

  • Collaborate with development and operations teams to improve deployment efficiency and system reliability.

  • Optimize cloud environments (AWS, Azure, or GCP) for performance, cost, and security.

  • Implement security best practices including IAM policies, encryption, and vulnerability scanning.

  • Manage and optimize Kubernetes clusters using Helm charts and Kubernetes Operators.

  • Develop and maintain infrastructure as code (IaC) and configuration management scripts.

  • Perform regular system updates, patching, and backups to ensure system integrity.

  • Lead DevOps initiatives and mentor junior team members on best practices and new technologies.



Requirements

Required Qualifications:

  • 5-8 years of hands-on experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).

  • Docker Certified Associate (DCA) and/or Certified Kubernetes Administrator (CKA) required.

  • Strong experience in Kubernetes (K8s) deployment, scaling, and monitoring.

  • Proficiency in scripting languages such as Bash, Python, or Go.

  • Experience with infrastructure-as-code (IaC) tools like Terraform, Ansible, or CloudFormation.

  • Hands-on experience with AWS, Azure, or Google Cloud Platform (GCP).

  • Knowledge of networking concepts, DNS, load balancing, and security best practices.

  • Strong understanding of GitOps principles and tools such as ArgoCD or Flux.

  • Experience working with logging and monitoring tools (Prometheus, ELK, Datadog, etc.).

  • Solid understanding of Linux system administration and troubleshooting.

Preferred Qualifications:

  • Certified Kubernetes Security Specialist (CKS) or additional cloud certifications (AWS, Azure, or GCP).

  • Experience with service mesh technologies (Istio, Linkerd, Consul).

  • Familiarity with serverless computing (AWS Lambda, Google Cloud Functions, etc.).

  • Exposure to GitOps workflows and Kubernetes operators.

  • Prior experience working in a DevSecOps environment.



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