Parasail

DevOps Engineer

• 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

Senior Site Reliability Engineer

• 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

Senior Site Reliability Engineer – Site Lead

• 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
• Work with infrastructure, platform, and inference engineers in a flat organization