This is a remote position.
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.
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.
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.
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.