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.

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.