AI DevOps Engineer (Remote - European Timezone)

Parasail is redefining AI infrastructure by enabling seamless deployment across a distributed network of GPUs, optimizing for cost, performance, and flexibility. Our mission is to empower AI developers with a fast, cost-efficient, and scalable cloud experience—free from vendor lock-in and designed for the next generation of AI workloads.

About the Role

Parasail is seeking an AI DevOps Engineer based in a European timezone to ensure the seamless deployment, scalability, and security of our AI platform. You'll work closely with AI performance and solutions engineering teams to optimize resource orchestration while maintaining security, cost efficiency, and cloud compatibility. This role is key to supporting customers across multiple time zones.

Key Responsibilities

• Cloud-Native Infrastructure: Architect, deploy, and manage Kubernetes, virtualization, and distributed computing environments for AI workloads.
• Security & Compliance: Implement best practices for encryption, access controls, and threat detection.
• Resource Optimization: Develop cost-efficient, high-performance infrastructure solutions.
• Automation & Monitoring: Use observability tools to ensure continuous performance, health, and security assessments.

Qualifications

• 5+ years of experience in cloud infrastructure management, with expertise in Kubernetes and distributed computing.
• Proven ability to build and secure scalable, high-performance cloud-native architectures.
• Strong problem-solving skills, with a track record of optimizing infrastructure for AI workloads.
• Excellent collaboration and communication skills across teams.
• AI experience is not required, but a passion for learning cutting-edge technologies is essential.
• Networking skills is a huge plus

Why Join Us?

This role is pivotal in redefining cloud architecture for AI—offering enterprises the performance and economics of hyperscale AI infrastructure without the typical constraints. If you're excited about shaping the future of AI infrastructure at an early-stage company, we’d love to hear from you!