Platform Engineer

8+ years in SRE, infrastructure engineering, platform engineering, or observability-focused roles.

You've operated observability infrastructure at serious scale. You know what breaks at 10x and you design for it.

You have a strong bias toward simplicity. You've seen over-engineered observability stacks collapse under their own weight and you build accordingly.

Deep hands-on experience with a significant subset of: Prometheus, Thanos, VictoriaMetrics, Grafana, Loki, Tempo, OpenTelemetry, ClickHouse, Elastic.

Strong engineering fundamentals, proficient in Python, Go, or similar; comfortable owning complex systems end to end.

Experience with Kubernetes at scale; familiarity with GPU infrastructure or HPC environments (Slurm) is a strong plus.

You can architect systems, write the code, review others' work, and explain the tradeoffs clearly, all in the same week.

Infrastructure-as-Code is default, not optional (Terraform, Ansible, or equivalent).

You influence without authority. Teams want your opinion because it makes their work better.

Preferred

• Experience with high-volume streaming pipelines for observability data (Kafka, Vector, Fluent Bit, etc.).
• Background in AI/ML infrastructure observability: GPU utilisation, training job visibility, inference latency.
• Prior experience defining observability strategy at an organisation level.

For applications and inquiries,