Site Reliability Engineer

This is a fully remote position, open to applicants in Australia.

📋 Description

• Take charge of the reliability, availability, and performance of production systems operating in cloud environments.

• Establish and track SLIs/SLOs while assisting in managing error budgets throughout the platform.

• Lead efforts in incident response, including detection, triage, mitigation, and conducting postmortems.

• Enhance observability through logging, monitoring, alerting, and creating dashboards.

• Automate operational processes and minimize manual tasks wherever feasible.

• Collaborate closely with engineering teams to bolster system resiliency and scalability.

• Support capacity planning, infrastructure optimization, and performance tuning activities.

• Develop internal tools, runbooks, and operational best practices.

• Maintain Kubernetes-based infrastructure and manage distributed systems at scale.

• Serve as an escalation point for intricate production and platform challenges.

• Report directly to the Head of Engineering.

• Willingness to travel 15–20% of the time.

⛳️ Requirements

• A minimum of 5 years of experience in Site Reliability Engineering, DevOps, Platform Engineering, or similar infrastructure roles.

• Robust experience with cloud platforms such as AWS, GCP, or Azure.

• Practical experience with Kubernetes and containerized environments.

• Strong comprehension of distributed systems and microservices architecture.

• Familiarity with observability tools such as Prometheus, Grafana, Datadog, ELK, or OpenTelemetry.

• Proficient in infrastructure automation and scripting languages (Terraform, Python, Bash, etc.).

• Experience in managing CI/CD pipelines and automating deployments.

• Excellent troubleshooting and incident management capabilities.

• Ability to collaborate across functions and communicate effectively in high-pressure situations.

• Experience in supporting large-scale SaaS or cloud-native platforms.

• Knowledge of workflow orchestration technologies like Conductor, Temporal, or Camunda.

• Familiarity with Kafka, messaging systems, or event-driven architectures.

• Understanding of security best practices and techniques for hardening cloud infrastructure.

• Contributions to open-source projects or a solid background in systems engineering.

🏝️ Benefits

• Comprehensive health coverage, including medical, dental, and vision.

• Flexible paid time off (PTO).

• Support for personal and professional development.

• A remote-friendly culture that promotes strong engineering autonomy.

• High ownership and impact within a rapidly growing company.

• An opportunity to influence the future of cloud orchestration and AI workflows.