DevOps Engineer

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: 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.