Senior Site Reliability Engineer – Site Lead

🕒 September 29

🇪🇺 Europe – Remote

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 22%

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• Open for 46 days.
• No salary listed.

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Parasail

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2023

☁️ SaaS

💰 $10M Seed on 2025-05

SaaS

Parasail is a cloud platform that provides inference infrastructure for AI-native startups, focusing on running open-source and specialized models in production. It offers a global fleet of data centers and current-generation hardware, optimized endpoints, and a single API for deploying any model (including fine-tunes and Hugging Face models). Parasail emphasizes reliability, performance, flexibility to scale, cost efficiency (up to 30× cheaper than legacy clouds), day-0 access to frontier models, lossless defaults, customizable speed/quality tradeoffs, flexible drawdown billing, and dedicated engineering support with fast response. Customers use Parasail for high-throughput inference, batch processing, and production deployment of LLMs and multimodal models (vision, voice, OCR, reranking, retrieval).

📋 Description

• Build the European engineering team by recruiting, hiring, and developing engineers • Translate company priorities into a focused roadmap and deliver work from design through production • Contribute to architecture, review designs and code, and work directly on important technical problems • Improve Kubernetes infrastructure for provisioning, networking, storage, and deployment across providers and regions • Improve isolation, failover, observability, and recovery • Establish sustainable incident response and turn production lessons into stronger systems • Automate capacity expansion, deployments, and maintenance • Establish clear ownership, documentation, and effective handoffs across regions and time zones • Shape engineering culture around technical quality, accountability, collaboration, and engineer growth

🎯 Requirements

• Experience leading engineering teams responsible for production infrastructure or distributed systems • Track record of hiring and developing strong engineers, setting priorities, and delivering meaningful technical outcomes • Technical depth to guide architecture, challenge assumptions, and contribute directly when needed • Experience building and operating reliable services, with real ownership of their performance in production • Strong Linux fundamentals and practical knowledge of networking, storage, containers, and Kubernetes • Ability to write maintainable software and automation to solve infrastructure problems • Systematic approach to debugging problems across application, cluster, network, and hardware boundaries • Good judgment about prioritization, simplification, and reliability • Clear communication and experience working effectively across teams and time zones • Experience establishing or growing an engineering office or regional team is nice to have • Experience with multi-region, multi-provider, or bare-metal infrastructure is nice to have • Familiarity with GPUs, model serving, or inference systems such as vLLM or SGLang is nice to have • Experience building highly available services, multi-tenant platforms, or distributed data systems is nice to have • Experience leading teams through rapid growth while maintaining technical quality and sustainable operations is nice to have

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