DevOps Engineer( Australian time zone)

We are looking for a DevOps Engineer to join a team building advanced sports technology solutions that help unlock the full potential of athletes and teams, from wearable devices to large-scale analytics platforms. You will own the infrastructure and delivery pipelines behind a high-load data platform, and work closely with backend and data engineers to keep it fast, observable, and reliable. This role requires working in the Australian time zone (AEST/AEDT), which means a working day from approximately 01:00 to 10:00 (02:00 to 11:00) Kyiv time Responsibilities: Build, maintain, and improve CI/CD pipelines for backend and data services; Manage cloud infrastructure as code, including provisioning, scaling, and cost control; Own containerisation and orchestration: Docker images, Kubernetes workloads, deployment strategies; Set up and maintain monitoring, logging, and alerting so issues are caught before users see them; Improve reliability of a high-load distributed system: capacity planning, performance tuning, incident response; Automate routine operational work and reduce manual steps in the release process; Apply security best practices across infrastructure, secrets management, and access control; Collaborate with cross-functional teams in an Agile environment and take part in architecture discussions. Requirements: 3+ years of experience in a DevOps, SRE, or infrastructure engineering role; Hands-on experience with a major cloud provider (AWS, GCP, or Azure); Strong experience with Docker and Kubernetes in production; Infrastructure as Code: Terraform or equivalent; Building and maintaining CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar); Confident with Linux administration and scripting (Bash, Python, or Go); Monitoring and observability tooling: Prometheus, Grafana, ELK, Datadog, or similar; Understanding of networking, security, and access management fundamentals; English: Upper-Intermediate or higher; Availability to work in the Australian time zone (AEST / AEDT). Nice to have: Experience with high-load or distributed systems; Experience supporting data-heavy platforms or streaming pipelines; Database administration experience (PostgreSQL or similar); Cost optimisation experience in cloud environments. Conditions: Full remote; Full-time; Working hours aligned with the Australian time zone.