SRE Monitoring Platform Software Engineer – Early Career, Temporary

🕒 Agosto 27

🏄 California, Texas – Remoto

🏄 California – Remote 🤠 Texas – Remote

💵 $105.000 - $155.000 / ano

⏰ Tempo Integral

🟢 Júnior

🟡 Pleno

🧑‍💻 Engenheiro Full-stack

🚫👨‍🎓 Sem graduação necessária

👻 Score fantasma 11%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Bitdeer Group

SiteLinkedInTodas as Vagas

201 - 500 funcionários

💼 Consultoria

📦 Logística

🏗️ Construção

💰 Post-IPO Equity em 2023-05

Consulting • Logistics • Construction

A Bitdeer Technologies Group (Nasdaq: BTDR) é uma líder na indústria de blockchain e computação de alto desempenho. É uma das maiores detentoras mundiais de hash rate proprietário e fornecedoras de hash rate. A Bitdeer está comprometida em fornecer soluções de computação abrangentes para seus clientes.

Descrição

• Contribute to the NeoCloud SRE platform, a multi-region system operating a GPU rental fleet across data centers • Build well-scoped components from design through production code under senior-engineer guidance • Ship code through GitOps and CI/CD release pipelines while following Plugin Framework conventions and declared SLOs • Build collection and storage components, including ingestion, query, storage-path, enrichment, and collection-monitor code • Contribute to alerting, correlation, and SLO frameworks; implement and tune default alert rules • Develop topology and cluster-health services and 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 work • Participate in chaos and soak tests led by senior engineers • Operate built systems under guidance and participate in on-call as a shadow before taking primary responsibility • Progress toward independently delivering components and owning a sub-context within 12 months

🎯 Requisitos

• 0–2 years of software engineering experience; new graduates with strong projects or internships welcome • Solid fundamentals in one programming language: Go (preferred), Python, Java, or Rust • Ability to write clean, tested, readable code and explain design choices • Knowledge of data structures, algorithms, concurrency, TCP/HTTP networking, and operating-system concepts • Understanding of distributed-systems concepts including idempotency, retries, back-pressure, caching, and eventual consistency • Hands-on exposure to monitoring/observability tools such as Prometheus, Grafana, or Loki; ability to write basic PromQL and instrument a service • Familiarity with Linux, shell, system logs, and standard debugging tools • Kubernetes fundamentals, including Pods, Services, and Deployments; experience running something on Kubernetes • Git and CI fundamentals, including branching, pull requests, and use of a CI pipeline • Habit of writing unit and integration tests • Clear written and verbal English • Curiosity and eagerness to learn GPU/AI infrastructure, AIOps, distributed systems, and observability • Nice-to-have: internship or project 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

🏖️ Benefícios

• Mentorship from senior and principal engineers • Guided participation in on-call, initially as a shadow before taking primary responsibility • Exposure to production-scale observability, GPU/AI infrastructure, AIOps, distributed systems, and cloud-native technologies • Opportunity to contribute to greenfield systems with established Plugin Framework, GitOps pipeline, and SLO framework • Equal employment opportunities