Open vacancy DevOps Engineer (AWS / Docker / Ansible)
Location: Kiev (remote)
Format: Full-time
Salary: up to $5,000.
We are seeking a skilled DevOps Engineer to join our team and play a critical role in automating software delivery processes, managing cloud infrastructure, and enhancing the reliability of our systems. You will work on cutting-edge cloud technologies, implement efficient CI/CD pipelines, and ensure our systems adhere to the highest security standards.
Key Responsibilities:
● Design and automate infrastructure management using Terraform and Ansible.
● Leverage Docker for containerization, including running Ansible and Terraform (writing Dockerfiles and docker-compose configurations).
● Deploy and manage Kubernetes clusters in an automated fashion using tools such as Kubespray and MetalLB.
● Configure and maintain CI/CD pipelines using tools like GitHub Actions, GitLab CI, Jenkins, and CircleCI.
● Design and implement cloud solutions, primarily using AWS and GCP.
● Write automation scripts using Python, Bash, or Go.
● Develop and manage Helm charts and helmfile configurations to ensure application resources are optimized.
● Conduct regular security audits, identify vulnerabilities, and implement fixes to ensure robust infrastructure security.
● Monitor and analyze system performance using tools like Grafana, Prometheus, and Datadog.
● Support business operations by troubleshooting and resolving technical challenges, as well as proposing and implementing innovative solutions.
Required Qualifications:
● Strong understanding and hands-on experience with cloud services (AWS, GCP).
● Proficiency in containerization with Docker and experience running automation tools within containers.
● Expertise in infrastructure-as-code using Terraform and Ansible.
● Familiarity with Cloudflare and CloudFront for content delivery and DNS management.
● Advanced knowledge of Linux system administration.
● Experience with Proxmox and OpenStack for virtual server management.
● Proven ability to configure and optimize CI/CD pipelines.
● Proficiency in scripting languages like Python, Bash, or Go.
● In-depth knowledge of Kubernetes, including deploying clusters in automated mode and understanding internal architecture.
● Experience with monitoring and observability tools like Grafana, Prometheus, and Datadog (transitioning to Datadog is planned).
● Ability to perform security audits and remediate identified vulnerabilities.
Nice-to-Have Skills:
● Experience creating Helm/helmfile packages and managing application backups.
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