SRE Monitoring Platform Software Engineer

About the role

Bitdeer is building an AI-operated GPU cloud, a global fleet of self-built and OEM-rented data centers observed, protected and operated by a platform. The SRE Platform team builds the monitoring and automation substrate that other squads depend on. This is an entry-level Software Engineer role on the SRE / Monitoring Platform team, working on the NeoCloud SRE platform. You will write code and tests, operate what you build under the guidance of a senior engineer, and take part in on-call as a shadow before becoming primary.

Key responsibilities

• Collection and storage: help build collection agents, metrics/logs/traces/profile stores, enrichment service and collection monitor, writing ingestion, query and storage-path code.
• Alerts, correlation and SLOs: contribute to the alert engine framework, alert correlation and SLO framework, implementing and tuning default alert rules.
• Topology and cluster health: contribute to topology service, cluster-health rollups and OSS-SRE tool collection plugins for K8s, Slurm, Ray, Volcano, Kueue and KubeRay.
• Remediation, workflow and jobs: help build remediation actuators, orchestration and workflow components, inspection probes and job schedulers.
• Observability instrumentation: instrument services with metrics, logs and traces via OpenTelemetry, build dashboards and write runbooks for on-call.
• Testing: write unit, integration and contract tests, and take part in chaos and soak tests.

Required profile

• 0-2 years of software engineering experience; new graduates with strong projects or internships are welcome.
• Solid fundamentals in one language (Go preferred, Python, Java or Rust) and CS fundamentals such as data structures, algorithms, concurrency and basic networking.
• Distributed systems basics: idempotency, retries, back-pressure, caching and eventual consistency.
• Some hands-on experience with Prometheus, Grafana, Loki or similar, and ability to write a basic PromQL query.
• Familiarity with Linux and the shell, and Kubernetes basics (Pods, Services, Deployments).
• Git, CI pipelines and test discipline as a habit.
• Clear written and spoken English and curiosity to learn GPU/AI infrastructure and AIOps.

Nice to have

• Internship or project in monitoring, observability or SRE tooling.
• Exposure to GPU/AI infrastructure (DCGM, InfiniBand/RoCE, Kubernetes GPU Operator, Slurm/Ray).
• Open-source contributions to observability or cloud-native projects.