SRE Monitoring Platform Software Engineer, Entry Level

• Contribute to Bitdeer's NeoCloud SRE platform for observing, protecting, and operating a multi-region GPU rental fleet
• Build collection agents, metrics/logs/traces/profiles stores, enrichment services, and collection monitors
• Write ingestion, query, and storage-path code
• Contribute to alerting, correlation, and SLO frameworks; implement and tune default alert rules
• Contribute to topology services, cluster-health rollups, and OSS-SRE-tool collection plugins for Kubernetes, Slurm, Ray, Volcano, Kueue, and KubeRay
• Help build remediation actuators, orchestration/workflow components, inspection probes, and job schedulers
• Instrument services with metrics, logs, and traces using OpenTelemetry
• Build dashboards and write actionable on-call runbooks
• Write unit, integration, and contract tests for shipped components
• Participate in chaos and soak tests led by senior engineers
• Develop components from design through production using GitOps and the CI/CD release pipeline
• Meet declared SLOs and maintain drift-free systems
• Operate what you build under senior-engineer guidance
• Participate in on-call as a shadow before taking primary responsibility
• Progress toward independently delivering components and owning a sub-context within 12 months

Requirements

• 0–2 years of software engineering experience; new graduates with strong projects or internships welcome
• Solid fundamentals in Go, Python, Java, or Rust; Go preferred
• Ability to write clean, tested, readable code and explain design choices
• 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
• Hands-on exposure to Prometheus, Grafana, Loki, or similar observability tools
• Ability to write basic PromQL queries and instrument services
• Familiarity with Linux, the shell, system logs, and standard debugging tools
• Kubernetes basics, including Pods, Services, and Deployments; experience running something on Kubernetes
• Git, branching, pull requests, and CI pipelines such as GitHub Actions or GitLab CI
• Unit and integration testing discipline
• Clear written and verbal English
• Curiosity and willingness to learn 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: exposure to GPU/AI infrastructure such as DCGM, InfiniBand/RoCE, Kubernetes GPU Operator, Slurm, or Ray
• Nice-to-have: exposure to AIOps/ML-adjacent tooling
• Nice-to-have: contributions to open-source observability or cloud-native projects

Core Competencies

Demonstrates strong software engineering fundamentals with proficiency in Go, Python, or Java, and a solid understanding of distributed systems and observability tools. Capable of writing clean, tested code and instrumenting services for performance monitoring and reliability.

Highest-signal resume keywords

• Proficiency In Go, Python, Java, Or Rust
• Experience With Kubernetes
• Familiarity With Prometheus And Grafana
• Understanding Of Distributed Systems Concepts
• Unit And Integration Testing Discipline

ATS Optimization Keywords

Hard Skills

• Software Engineering
• Clean Code Writing
• Data Structures
• Algorithms
• Concurrency
• TCP/HTTP Networking
• Operating System Fundamentals
• PromQL Queries
• Unit Testing
• Integration Testing

Soft Skills

• Clear Written And Verbal English
• Curiosity
• Willingness To Learn

Industry Keywords

• Observability
• Telemetry Pipelines
• Platform/SRE Tooling
• GPU/AI Infrastructure
• AIOps

Tools & Technologies

• Kubernetes
• Prometheus
• Grafana
• Loki
• Git
• GitHub Actions
• GitLab CI
• OpenTelemetry
• CI/CD Release Pipeline
• Linux