DevOps Engineer (part-time/hourly-based)

About the Role: We are looking for a Senior DevOps Engineer to join our engineering team. This is a part-time, hourly-based engagement (~60 hours per month), fully remote. You'll take ownership of cloud infrastructure on Azure, working closely with software engineers and architects to design reliable, scalable, and secure cloud-native solutions. The role requires someone who can operate independently, prioritize effectively within a limited time budget, and deliver high-impact infrastructure improvements without hand-holding. What You'll Do: Design, implement, and maintain cloud infrastructure on Azure Develop Python scripts and automation tools to streamline infrastructure management, deployments, and operational workflows Build, maintain, and improve CI/CD pipelines to support fast and reliable software delivery Automate infrastructure provisioning and configuration using Infrastructure as Code (Terraform, Pulumi, or equivalent) Monitor infrastructure performance, troubleshoot production issues, and ensure system reliability and uptime Optimize cloud environments for scalability, cost efficiency, and security Implement and enforce cloud security best practices across all environments Collaborate closely with software engineers and architects on cloud-native architecture decisions What We're Looking For: 5+ years of commercial experience as a DevOps or Cloud Infrastructure Engineer Strong hands-on experience with Microsoft Azure in production environments Solid experience with Infrastructure as Code tools (Terraform, Pulumi, CloudFormation, or similar) Proven experience building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or equivalent) Strong Linux administration skills — comfortable in the terminal and confident in production systems Experience with monitoring and logging solutions (Datadog, Grafana, ELK stack, CloudWatch, or similar) Solid understanding of networking fundamentals — VPC, DNS, load balancing, firewalls, and security groups Experience implementing cloud security best practices — IAM, secrets management, network segmentation Ability to work autonomously and manage time effectively within a part-time engagement Upper-Intermediate or Advanced English — clear written and spoken communication Nice to Have: Experience with Kubernetes or container orchestration in production Familiarity with Python scripting for infrastructure automation Background in HR Tech, SaaS, or product company environments Experience with multi-cloud or hybrid cloud setups Knowledge of cloud cost optimization strategies