Site Reliability Engineer

Job not on LinkedIn

🕒 October 29, 2025

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Hydra Host

11 - 50 employees

🔧 Hardware

🏢 Enterprise

🤖 Artificial Intelligence

💰 $10M Seed Round on 2022-04

Hardware • Enterprise • Artificial Intelligence

Hydra Host is a provider of high-performance computing solutions, offering dedicated bare metal GPU server access optimized for AI and HPC workloads. Their platform allows users to access and rent top-tier GPUs globally, providing unparalleled performance, security, and customization. Hydra Host's infrastructure includes a marketplace, known as Brokkr, that offers a wide array of GPU configurations and solutions tailored for mission-critical applications such as AI, big data, and machine learning. Through their robust, secure, and scalable solutions, Hydra Host ensures customers enjoy full control over their server environments, with options for scalability and future-readiness. The company's offerings are trusted by leading firms seeking efficient and innovative computing solutions.

📋 Description

• Design, deploy, and maintain QA systems used by our development teams to test integration and live system responses across full-stack deployments in local, live, and ephemeral environments • Evaluate and integrate monitoring and QA tools to find the right tools for the job • Create a unified monitoring platform and processes that datacenter and device teams will integrate to monitor their components (live servers, lifecycle, networks, power, etc.) • Maintain monitoring processes and dashboards to provide complete visibility into the health, performance, and reliability of our CI systems, software deployments, and testing platforms • Create and maintain a systems test suite, in collaboration with our product managers, to validate marketplace changes against all business functions in live and ephemeral QA environments • Integrate all fore-mentioned systems to create holistic platform health statistics reporting • Design disaster-recovery processes in collaboration with devops • Ensure we are meeting uptime SLAs across all platform deployments • Work with datacenter and device teams to define service-level indicators (SLIs), service-level objectives (SLOs), and SLAs • Establish observability standards across the stack: logs, metrics, traces, and alerts, and actionable on-call playbooks • Automate everything from monitoring setups to incident responses to eliminate manual toil and increase reliability • Drive incident response, root cause analysis, and post‑mortems • Guide incident turn-around into tooling and process improvements • Establish the monitoring infrastructure and dashboards that enable everyone — from engineers to execs — to know what’s going on • Act as the reliability partner to engineering teams: review systems for reliability concerns, help design QA requirements and testing, and help teams meet reliability targets.

🎯 Requirements

• 5–8+ years of experience in Reliability Engineering, DevOps, or infrastructure roles focused on large-scale, high-uptime production environments • Deep familiarity with monitoring and observability tooling: you've implemented and managed systems, esp. Prometheus, Grafana, and Zabbix • Strong experience with service orchestration in mutli-region environment (Nomad, Kubernetes, cloud VMs, distributed databases) • Track record of managing production system uptime and SLAs and building tools to support it • Experience writing and reviewing post-mortems and using those findings to drive improvements in tools and process • Proficient with scripting and programming languages (Python, Go, BASH, etc.) for automating operational tasks • Strong proficiency with infrastructure as code and devops workflows • Experience with distributed tracing, log aggregation, and alert tuning • Passion for building systems that fail gracefully, alert correctly, and empower others to operate confidently • Excellent communication skills: you can write clear documentation, drive incident reviews, and communicate reliability risks to technical and non-technical stakeholders.

🏖️ Benefits

• Competitive compensation: base salary + performance bonus + equity • Exposure to high-performance computing and state-of-the-art GPU environments • A core role in ensuring our systems are reliable, observable, and meet customer SLAs • Remote work environment with a strong culture of ownership and autonomy • No red tape: find the right solution, work with the team, get feedback, and get the job done.

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