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Parasail

Senior Site Reliability Engineer

Parasail

. Build and improve Kubernetes infrastructure for provisioning, networking, storage, and service deployment across providers and regions .

Posted 9/25/2026full-timeSan Mateo • California • United StatesSeniorWebsite

Tech Stack

Tools & technologies
Distributed SystemsKubernetesLinux

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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 for infrastructure problems
  • Systematic debugging across application, cluster, network, and hardware boundaries
  • Good judgment about prioritization, simplification, and reliability
  • Initiative to take problems from investigation through implementation
  • 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 (nice to have)

Benefits

Comp & perks
  • Ownership and reach to shape the company’s scaling infrastructure
  • Opportunity to work directly with infrastructure, platform, and inference engineers
  • Meaningful architecture ownership
  • Ship improvements directly into production
  • Work close to hardware and deep in distributed systems
  • Help build the foundation for the next stage of AI infrastructure