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Parasail is building an enterprise-grade inference cloud for open-weight models, delivering fast, reliable, and economical AI inference at scale. Behind a single OpenAI-compatible API, the company pools GPU capacity from providers worldwide and continuously optimizes workload placement. The company has raised $32 million in Series A funding and is scaling beyond trillions of tokens per day.
You will be hired as Engineering Site Lead to establish and lead Parasail's engineering presence in Europe. This is a hands-on engineering leadership role combining team building, technical contribution, and organizational responsibility. You will recruit and develop a strong engineering team, establish how the European site operates, and take ownership of critical infrastructure behind the global inference cloud.
Key responsibilities include:
- Building the European engineering team by recruiting, hiring, and developing engineers with complementary strengths in infrastructure, distributed systems, and production reliability.
- Setting technical direction and translating company priorities into a focused roadmap, making sound technical tradeoffs, and guiding work from design through production.
- Contributing directly to architecture, reviewing designs and code, and working on the most important technical problems.
- Leading improvements to the Kubernetes infrastructure behind provisioning, networking, storage, and deployment across multiple providers and regions.
- Establishing reliability as a team responsibility through better isolation, failover, observability, and recovery mechanisms.
- Building software and automation to reduce manual infrastructure work and make changes safer.
- Connecting teams across regions by establishing clear ownership, documentation, and effective handoffs for asynchronous collaboration.
- Shaping engineering culture by setting high standards for technical quality, accountability, and collaboration while enabling engineer growth and decision-making.
You will work directly with engineering leadership and infrastructure, platform, and inference engineers across regions, giving the European team clear ownership while connecting its work to company priorities.
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.
- Real ownership of production service performance and experience building and operating reliable services.
- 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 crossing application, cluster, network, and hardware boundaries.
- Good judgment about when to move quickly, when to simplify, and where reliability matters most.
- Clear communication and experience working effectively across teams and time zones.
NICE TO HAVE:
- Experience establishing or growing an engineering office or regional team.
- Experience with multi-region, multi-provider, or bare-metal infrastructure.
- Familiarity with GPUs, model serving, or inference systems such as vLLM or SGLang.
- Experience building highly available services, multi-tenant platforms, or distributed data systems.
- Experience leading teams through rapid growth while maintaining technical quality and sustainable operations.
