SRE Monitoring Platform Software Engineer – Early Career, Temporary

🕒 il y a 2 mois

🏄 California, Texas – Distant

🏄 California – Remote 🤠 Texas – Remote

💵 $105 000 - $155 000 / an

⏰ Temps Plein

🟢 Junior

🟡 Intermédiaire

🧑‍💻 Développeur Full-Stack

🚫👨‍🎓 Aucun diplôme requis

👻 Score fantôme 22%

Ce que ça veut dire : la probabilité que personne ne recrute vraiment pour cette offre.Comment le lire : 60 % ou plus, on pense que c'est une offre fantôme. Un score plus bas est moins inquiétant.Comment on la calcule : ancienneté, republications, postes ouverts vs taille de l'équipe, rapidité de clôture, et si le salaire est indiqué.À noter : une estimation à partir de données publiques, pas un jugement sur l'entreprise. De vraies offres peuvent avoir un score élevé, alors prenez-le comme un indice, pas comme un fait.

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Bitdeer Group

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201 - 500 employés

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💰 Post-IPO Equity en 2023-05

Consulting • Logistics • Construction

Bitdeer Technologies Group (Nasdaq : BTDR) est un leader dans le secteur de la blockchain et de l'informatique haute performance. Il figure parmi les plus grands détenteurs mondiaux de taux de hachage propriétaires et de fournisseurs de taux de hachage. Bitdeer s'engage à fournir des solutions informatiques complètes à ses clients.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• 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

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