Remote DevOps Engineer

Description:

• SPACE44 is seeking outstanding DevOps Engineers to join their talent pool for upcoming client projects.
• This is a proactive opportunity to become part of an expert network, not tied to a current project.
• The role involves designing, building, and maintaining containerized environments using Docker and Kubernetes.
• Responsibilities include developing and managing CI/CD pipelines with tools like GitHub Actions, GitLab CI, or Jenkins.
• Candidates will provision and manage cloud infrastructure primarily on AWS using Terraform (IaC).
• Implementing best practices for cloud security, including IAM, encryption, and compliance, is essential.
• The role requires automating configuration management using Ansible and scripting with Python or Bash.
• Monitoring, logging, and visualizing system metrics using Prometheus and Grafana is part of the job.
• Candidates will manage deployments, rollbacks, and versioning in cloud-native Kubernetes-based systems.
• Collaboration with engineering teams to enforce DevOps principles and enhance delivery workflows is expected.
• Contribution to documentation and knowledge sharing across the team is also required.

Requirements:

• A minimum of 5 years of experience in DevOps or Cloud Infrastructure roles is required.
• Candidates must have deep knowledge of Docker and Kubernetes for containerization and orchestration.
• Proven experience with Terraform for infrastructure automation is necessary.
• Strong proficiency with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins is essential.
• Solid hands-on experience with AWS services like EC2, EKS, Lambda, and IAM is required.
• Experience in scripting and automation using Python and/or Bash is necessary.
• An understanding of cloud security best practices and compliance frameworks is required.
• Familiarity with monitoring tools like Prometheus and Grafana is expected.
• Strong communication and collaboration skills in a remote-first, Agile environment are essential.
• A BSc in Computer Science, Engineering, or a related field is required.

Benefits:

• A flexible work schedule is offered, allowing for a non-linear workday to enhance productivity and maintain work-life balance.
• Professional growth opportunities include access to advanced training in data science and machine learning.
• Employees will engage in innovative projects using the latest tools and technologies in a progressive remote work environment.
• A competitive income is provided, with regular performance reviews and potential raises every six months.
• Collaboration with a diverse, international team that values openness and teamwork is a key benefit.