SRE Monitoring Platform Software Engineer, Entry Level

This is a fully remote position, open to applicants in California, +1 more state.

📋 Description

• Contribute to Bitdeer's NeoCloud SRE platform for monitoring, securing, and managing a multi-region GPU rental fleet.

• Develop collection agents, as well as stores for metrics, logs, traces, and profiles, along with enrichment services and collection monitors.

• Write code for ingestion, querying, and storage paths.

• Assist in the development of alerting, correlation, and SLO frameworks; implement and optimize default alert rules.

• Contribute to topology services, cluster health rollups, and OSS-SRE-tool collection plugins for platforms such as Kubernetes, Slurm, Ray, Volcano, Kueue, and KubeRay.

• Aid in the creation of remediation actuators, orchestration/workflow components, inspection probes, and job schedulers.

• Instrument services using metrics, logs, and traces with OpenTelemetry.

• Create dashboards and draft actionable on-call runbooks.

• Develop unit, integration, and contract tests for delivered components.

• Engage in chaos and soak tests led by senior engineers.

• Build components from design through production utilizing GitOps and the CI/CD release pipeline.

• Achieve declared SLOs and maintain systems free from drift.

• Operate the systems you build under guidance from senior engineers.

• Participate in on-call duties as a shadow before assuming primary responsibility.

• Aim to independently deliver components and manage a sub-context within 12 months.

⛳️ Requirements

• 0–2 years of experience in software engineering; recent graduates with strong projects or internships are encouraged to apply.

• Strong understanding of Go, Python, Java, or Rust; Go is preferred.

• Capability to write clean, tested, and readable code and articulate design decisions.

• Knowledge of data structures, algorithms, concurrency, TCP/HTTP networking, and operating system fundamentals.

• Understanding of distributed systems concepts, including idempotency, retries, back-pressure, caching, and eventual consistency.

• Practical experience with Prometheus, Grafana, Loki, or similar observability tools.

• Proficiency in writing basic PromQL queries and instrumenting services.

• Familiarity with Linux, shell commands, system logs, and common debugging tools.

• Basic knowledge of Kubernetes, including Pods, Services, and Deployments; experience running applications on Kubernetes is a plus.

• Experience with Git, branching, pull requests, and CI pipelines like GitHub Actions or GitLab CI.

• Discipline in unit and integration testing.

• Proficiency in written and spoken English.

• Curiosity and eagerness to learn about GPU/AI infrastructure, AIOps, distributed systems, and observability.

• Nice-to-have: internship or project experience in monitoring, observability, telemetry pipelines, or platform/SRE tooling.

• Nice-to-have: familiarity with GPU/AI infrastructure such as DCGM, InfiniBand/RoCE, Kubernetes GPU Operator, Slurm, or Ray.

• Nice-to-have: exposure to AIOps/ML-related tools.

• Nice-to-have: contributions to open-source observability or cloud-native projects.

🏝️ Benefits

• Mentorship from senior and principal engineers.

• Opportunity to learn the complete observability stack at a production scale.

• Participation in on-call roles as a shadow prior to taking on primary responsibilities.

• Commitment to equal employment opportunities and non-discrimination.