Senior Site Reliability Engineer

🕒 September 29

🇪🇺 Europe – Remote

⏰ Full Time

🟠 Senior

⛑ DevOps & Site Reliability Engineer (SRE)

👻 Ghost score 22%

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• Open for 47 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 and improve Kubernetes infrastructure for provisioning, networking, storage, and service deployment across providers and regions • Design isolation, failover, and recovery mechanisms to reduce the impact of hardware and infrastructure failures • Automate capacity expansion, deployments, and maintenance • Develop observability and diagnostics to reveal bottlenecks and surface failures • Respond to incidents, identify root causes, and improve systems based on findings • Improve platform performance, utilization, security, and reliability as inference demand grows • Collaborate directly with infrastructure, platform, and inference engineers in a flat organization

🎯 Requirements

• Experience building and operating production infrastructure or distributed systems, with real ownership of reliability • Strong Linux fundamentals • Practical knowledge of networking, storage, and containers • Hands-on experience running Kubernetes in production • Ability to write maintainable software and automation to solve infrastructure problems • Systematic approach to debugging issues across application, cluster, network, and hardware boundaries • Good judgment about when to move quickly, simplify, and prioritize reliability • Initiative to take problems from investigation through implementation and collaborate with teammates • Nice to have: experience with multi-region, multi-provider, or bare-metal infrastructure • Nice to have: familiarity with GPUs, model serving, vLLM, or SGLang • Nice to have: experience with infrastructure as code, CI/CD, observability, or automated recovery • Nice to have: experience building highly available services, multi-tenant platforms, or distributed data systems

🏖️ Benefits

• Ownership and reach to shape how Parasail scales its inference cloud • Meaningful architecture decisions and direct production impact • Work close to hardware, deep in distributed systems, and alongside inference engineers • Opportunity to help build the foundation for the next stage of AI infrastructure

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