Senior Site Reliability Engineer

Parasail

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

Posted 9/29/2026full-timeRemoteSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating production infrastructure, particularly with Kubernetes, while ensuring reliability and performance. Proficient in automating processes and debugging across various system boundaries to enhance platform efficiency and security.

Highest-signal resume keywords

Kubernetes Infrastructure ManagementLinux FundamentalsNetworking and Storage KnowledgeAutomation and Scripting SkillsIncident Response and Debugging

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesLinuxNetworkingContainersAutomationDebuggingInfrastructure as CodeCI/CDObservabilityDistributed Systems

Soft Skills

Good JudgmentInitiativeCollaboration

Tools & Technologies

Multi-Region InfrastructureMulti-Provider InfrastructureBare-Metal InfrastructureGPUsModel ServingVLLMSGLang

Industry Keywords

Production InfrastructureService DeploymentFailover MechanismsCapacity ExpansionPlatform PerformanceReliability

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
Collaborate directly 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 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

Comp & perks

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