Runware

3 months ago

Staff DevOps Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

We are building a GPU-focused, real-time AI inference platform and need a Senior/Staff DevOps Engineer to design, operate, and scale infrastructure across bare-metal, GPUs, and cloud-native environments. You’ll drive automation, CI/CD, monitoring, and security for high-availability, low-latency systems, enabling rapid model launches and reliable performance for millions of users.

Location: United Kingdom

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Build and scale infrastructure powering real-time AI inference across GPU fleets, bare-metal servers, serverless and containerised production systems
•Evolve platform toward elastic, on-demand infrastructure that scales with customer traffic and model demand
•Improve critical paths behind request entrypoints, inference services, queues, storage, load balancers and networking
•Automate infrastructure operations from provisioning to CI/CD, deployment safety, progressive rollouts and rapid rollback
•Build observability for a high-performance AI platform with signals to spot issues early and understand capacity

Pay and Benefits

Equity and Bonus:Equity

Perks:Remote WorkEquity

Key Requirements

•Strong experience as a DevOps/SRE/Infrastructure/Platform Engineer with production-scale systems
•Deep Linux knowledge and ability to debug real production issues across networking, storage, performance, and services
•Hands-on experience with Infrastructure-as-Code, CI/CD pipelines, and deployment workflows
•Experience operating high-availability, low-latency, or high-throughput platforms impacting customers
•Strong networking fundamentals across TCP/IP, DNS, load balancing, routing, firewalls, proxies, TLS, and HTTP

Experience:Information technologyAI infrastructureGPU

Education:Master's

Skills:CommunicationProblem solvingTeamworkAutonomy

Tech Stack:LinuxInfrastructure-as-CodeCI/CDGPUNVIDIA driversCUDAContainer runtimesVLLMTensorRTTritonLoad balancersNetworkingTLSHTTP

Company Brief

Runware

Runware.ai offers a platform for building, deploying, and managing LLM-powered applications, focusing on orchestration, observability, and operational tooling to ensure reliable, scalable, and safe production AI workflows.

Industry: Developer Tools

Website

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Runware

3 months ago

Staff DevOps Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: United Kingdom

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Build and scale infrastructure powering real-time AI inference across GPU fleets, bare-metal servers, serverless and containerised production systems
•Evolve platform toward elastic, on-demand infrastructure that scales with customer traffic and model demand
•Improve critical paths behind request entrypoints, inference services, queues, storage, load balancers and networking
•Automate infrastructure operations from provisioning to CI/CD, deployment safety, progressive rollouts and rapid rollback
•Build observability for a high-performance AI platform with signals to spot issues early and understand capacity

Pay and Benefits

Equity and Bonus:Equity

Perks:Remote WorkEquity

Key Requirements

•Strong experience as a DevOps/SRE/Infrastructure/Platform Engineer with production-scale systems
•Deep Linux knowledge and ability to debug real production issues across networking, storage, performance, and services
•Hands-on experience with Infrastructure-as-Code, CI/CD pipelines, and deployment workflows
•Experience operating high-availability, low-latency, or high-throughput platforms impacting customers
•Strong networking fundamentals across TCP/IP, DNS, load balancing, routing, firewalls, proxies, TLS, and HTTP

Experience:Information technologyAI infrastructureGPU

Education:Master's

Skills:CommunicationProblem solvingTeamworkAutonomy

Tech Stack:LinuxInfrastructure-as-CodeCI/CDGPUNVIDIA driversCUDAContainer runtimesVLLMTensorRTTritonLoad balancersNetworkingTLSHTTP

Company Brief

Runware

Industry: Developer Tools

Website