Runware: Staff DevOps Engineer | JobSetuu

Description

Job Overview

• Source: WeWorkRemotely

Job Description

Headquarters: United Kingdom
URL: http://runware.ai

Runware is building the API layer for the next generation of AI products. Our platform gives teams fast, reliable access to real-time inference across thousands of models through a single flexible API. We help customers build and scale media generation products with better performance, lower cost, and less operational complexity.

Behind this is an infrastructure platform built for speed, reliability, and GPU scale. New models launch constantly. Customer traffic can grow quickly. Performance matters at every layer.

We are looking for a Staff/Senior DevOps Engineer to help build, operate, and scale the infrastructure behind Runware’s global AI inference platform. You’ll play a critical role in making our systems faster, more resilient, easier to operate, and ready for the next stage of growth.

About the role

Runware’s infrastructure is the engine behind some of the fastest-growing AI products in the world. As a Staff/Senior DevOps Engineer, you’ll help design, build, and operate the systems that power real-time AI inference across large-scale GPU fleets and a global production platform.

This is not a traditional DevOps role. You’ll be working at the intersection of bare-metal infrastructure, GPUs, networking, automation, observability, and high-performance distributed systems. Your work will directly shape how quickly we can launch new models, scale customer traffic, recover from failures, and deliver low-latency AI experiences to millions of users.

You’ll turn complex, hardware-driven infrastructure into reliable, automated, developer-friendly platforms. From provisioning and orchestration to deployment pipelines, monitoring, incident response, and capacity scaling, you’ll help remove friction so engineering teams can move faster without compromising reliability.

You’ll build the foundations that let Runware scale with confidence: infrastructure that is fast, resilient, observable, secure, and built for the demands of real-time AI.

What you’ll do

• Build and scale the infrastructure that powers real-time AI inference across GPU fleets, bare-metal servers, serverless and containerised production systems
• Help evolve Runware’s platform toward more elastic, on-demand infrastructure that can scale quickly with customer traffic and model demand
• Make Runware faster, more reliable and more resilient by improving the critical paths behind our request entrypoints, inference services, queues, storage, load balancers and networking layer
• Automate the hard parts of infrastructure operations, from provisioning and configuration through to CI/CD, deployment safety, progressive rollouts and rapid rollback
• Build the observability backbone for a high-performance AI platform, with the signals needed to spot issues early, understand capacity and fix problems before customers feel them
• Play a leading role in production operations, incident response, debugging and post-incident improvements, helping us turn operational challenges into a stronger platform
• Strengthen the security and compliance foundations of our infrastructure through patching, secrets management, access controls, hardening, auditability, documentation and repeatable operational processes

• Strong experience as a DevOps Engineer, SRE, Infrastructure Engineer, Platform Engineer or similar, with a track record of running production systems at scale
• Deep Linux knowledge and confidence debugging real production issues across networking, storage, performance, services and system behaviour
• Hands-on experience building automation, Infrastructure-as-Code, CI/CD pipelines and deployment workflows that make infrastructure safer and easier to operate
• Experience operating high-availability, low-latency or high-throughput platforms where reliability and performance directly affect customers
• Strong networking fundamentals across TCP/IP, DNS, load balancing, routing, firewalls, proxies, TLS and HTTP
• A calm and pragmatic approach under pressure, with strong communication, good judgement and a bias toward automation over manual toil

Bonus

• Experience operating GPU infrastructure for AI/ML inference, including NVIDIA drivers, CUDA, container runtimes, GPU monitoring, capacity planning and workload isolation
• Familiarity with inference serving and optimisation frameworks such as vLLM, TensorRT, Triton or similar

We’re a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life.

Our release cycles are fast and intense, but they’re followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready & stronger than ever for the next leap.

• Generous paid time off – vacation, sick days, public holidays
• Meaningful stock options – share in the upside you create
• Remote-first setup – work from home anywhere we can employ you
• Flexible hours – own your schedule outside core collaboration blocks
• Family leave – paid maternity, paternity, and caregiver time
• Company retreats – twice-yearly gatherings in inspiring locations

To apply: https://weworkremotely.com/remote-jobs/runware-staff-devops-engineer

Expert Career Tips for Runware: Staff DevOps Engineer Roles

To succeed in a competitive market as a Runware: Staff DevOps Engineer, you need more than just technical skills. Here are some expert strategies to elevate your profile:

• Build a Strong Portfolio: For technical roles, a clean GitHub or a personal project site is essential. For non-technical roles, a case study portfolio demonstrating problem-solving and impact is equally valuable. Show, don't just tell, what you have achieved in your previous positions.
• Master the Narrative: When interviewing, use the STAR method (Situation, Task, Action, Result) to structure your answers. Quantify your results wherever possible—mentioning "increased efficiency by 20%" is much more impactful than saying "improved efficiency."
• Continuous Learning: The industry moves fast. Whether it's staying updated with the latest AI tools or mastering a new management methodology, continuous professional development is key. Consider obtaining industry-recognized certifications that align with Runware: Staff DevOps Engineer requirements.
• Networking: Connect with other professionals in similar roles. Join online communities, attend webinars, and engage in meaningful discussions on professional social networks. Often, the best opportunities come through referrals and community engagement.
• Soft Skills Matter: Communication, empathy, and leadership are often the deciding factors between two equally qualified technical candidates. Cultivate these skills as they are universally valued across all industries and seniority levels.

Additionally, research the specific company's culture and values. Tailoring your application to show how you align with their mission can significantly increase your chances of moving forward in the process.

Salary & Compensation

Salary not disclosed; typically competitive for the role.

Work Arrangement

Type: On-Site

Standard business hours at the office.

Comprehensive Application Strategy & Hiring Process

Applying for a new role is a marathon, not a sprint. Follow this strategic approach to maximize your success rate:

1. Initial Research & Tailoring

Don't send the same resume to every employer. Spend at least 30 minutes researching the company. Look for recent news, their product roadmap, and their team structure. Modify your summary and core competencies to reflect the specific keywords found in the job description.

2. The Perfect Cover Letter

If the application allows for a cover letter, use it to tell a story that your resume cannot. Explain why you are passionate about this specific company and how your unique background makes you the perfect fit for the challenges they are currently facing.

3. Navigating the Multi-Stage Interview

Most modern hiring processes involve 3-5 stages. This typically includes a recruiter screen, a technical or skill-based assessment, a peer interview, and a final leadership round. Prepare for each stage differently: focus on enthusiasm and fit for the recruiter, technical depth for the assessment, and strategic vision for the leadership round.

4. Post-Interview Follow-Up

Always send a personalized thank-you note within 24 hours of each interview. Reference a specific topic discussed during the call to demonstrate your active listening and genuine interest in the role.

By following these steps, you demonstrate a high level of professionalism and attention to detail that sets you apart from the average applicant.

Typical Interview Process

1. Resume screening
2. HR call
3. Skill interview
4. Final manager interview
5. Offer

Tip: Research the company's products and culture.

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The demand for skilled professionals is increasingly borderless. For roles based in Global, understanding the local cost of living, visa requirements (if applicable), and cultural nuances is vital. If this is a remote role, consider the time zone alignment and the asynchronous communication culture of the hiring organization.

Relocation Support: Many forward-thinking companies offer relocation packages that include moving stipends, temporary housing, and legal assistance with work permits. When evaluating an offer, look beyond the base salary—consider the total compensation package, including equity, bonuses, and healthcare benefits.

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Skills & Competency Roadmap for Professional Development

To remain competitive in Professional Development, we recommend focusing on the following core competencies over the next 12-18 months:

• Technical Mastery: Deepen your expertise in the core tools and languages relevant to your field. For developers, this might be cloud architecture; for marketers, it might be data-driven attribution modeling.
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• Data Literacy: The ability to interpret data and use it to drive decisions is essential across all business functions. Familiarize yourself with data visualization and basic analytical concepts.

By investing in these areas, you not only prepare yourself for the role you are applying for today but also build a resilient foundation for the opportunities of tomorrow.

Apply via JobSetuu

Discover your next career milestone on JobSetuu. This Runware: Staff DevOps Engineer position is part of our commitment to bringing you the most relevant and high-impact job openings globally. At JobSetuu, we simplify your job search by aggregating premier listings and providing the tools you need to stand out. Don't miss the chance to elevate your professional journey—explore more opportunities and career insights on our platform today.