Site Reliability Engineer

Runpod is the foundational platform for developers to build and run custom AI systems that scale. With over 500000 developers worldwide and an annual recurring revenue run rate exceeding $120M Runpod operates at the intersection of developer velocity and production-scale AI. Founded in 2022 we’ve grown rapidly by building infrastructure purpose-built for modern AI workloads. Our platform enables teams to move from experimentation to deployment with flexibility across cloud on-prem and hybrid environments. As a remote-first globally distributed company we are building the infrastructure layer that powers the next generation of AI systems.

The Reliability team owns the availability performance and operational excellence of Runpod’s global platform. While infrastructure teams build the systems the Reliability team ensures those systems remain resilient observable and scalable under real-world production conditions.

This team is responsible for:

• Defining and enforcing reliability standards across engineering
• Designing incident response processes and improving recovery times
• Building observability systems and reliability tooling
• Driving SLO adoption and production readiness reviews

Reducing operational toil through automation

The Reliability team works cross-functionally with Infrastructure Product Engineering and Support to ensure our systems remain stable and performant as we scale rapidly. We value proactive problem solving automation-first thinking and strong ownership of production systems.

As a Site Reliability Engineer on the Reliability team you will focus on ensuring the stability and resilience of Runpod’s distributed platform. You will partner with engineering teams to improve system design strengthen observability and prevent incidents before they happen.

This role blends software engineering with production operations. You’ll work on reliability frameworks SLO design automation and production hardening reducing errors and improving performance across different services and infrastructure.

This is a high-impact role central to maintaining trust with developers running critical AI workloads on Runpod.

• Increase platform uptime and reduce incident frequency and duration
• Establish and operationalize SLIs/SLOs across services
• Improve MTTR through better tooling automation and runbooks
• Strengthen production readiness standards
• Drive long-term systemic reliability improvements

You will influence how reliability is defined and measured across Runpod and help build the operational backbone of the company.

• Define and implement SLIs/SLOs for critical services
• Lead incident response and coordinate cross-team mitigation efforts
• Conduct blameless postmortems and ensure corrective actions are completed
• Perform production readiness reviews for new services and features
• Identify systemic risks and drive preventative improvements

• Design and improve monitoring alerting and dashboards (Prometheus Grafana etc.)
• Improve signal-to-noise ratio in alerts and reduce alert fatigue
• Build internal tooling for reliability tracking and reporting
• Improve visibility into GPU performance and distributed systems health

• Automate recurring operational workflows
• Build tools and scripts (Python Go Bash) to eliminate manual processes
• Improve deployment safety through automation and guardrails
• Strengthen CI/CD reliability and release processes

• Partner with engineering teams to improve system resilience
• Provide guidance on fault tolerance scalability and failure handling
• Contribute to architectural discussions with a reliability-first mindset

Requirements:

• 5+ years of experience in SRE Reliability Engineering or Production Engineering
• Strong Linux systems and Networking expertise
• Experience managing containerized production systems
• Strong understanding of distributed systems and failure modes
• Experience defining and managing SLIs/SLOs
• Proven incident response and postmortem leadership experience
• Strong scripting or programming skills
• Experience with monitoring and alerting systems
• Excellent written communication skills
• Successful completion of a background check

Preferred:

• Experience with GPU infrastructure or AI/ML platforms
• Experience improving reliability in high-growth or large scale environments
• Familiarity with GPU observability tooling
• Experience with Infrastructure as Code
• Experience working in startup environments
• Experience building internal reliability platforms or frameworks

What You’ll Receive:

• The competitive base pay for this position ranges from $150000- $200000 usd. This salary range may be inclusive of several career levels at Runpod and will be narrowed during the interview process based on a number of factors including the candidate’s experience qualifications and location
• Meaningful equity in a fast-growing company- everyone on the team receives stock options — your impact drives our growth and you share in the upside.
• Generous medical dental & vision plans
• Flexible PTO- take the time you need to recharge
• Most roles are remote work first with an inclusive collaborative teams utilizing slack as the main form of internal communication 
• Join a passionate team on the cutting edge of AI infrastructure — where culture learning and ownership are at the heart of how we scale.

RunPod is committed to maintaining a workplace free from discrimination and upholding the principles of equality and respect for all individuals. We believe that diversity in all its forms enhances our team. As an equal opportunity employer RunPod is committed to creating an inclusive workforce at every level. We evaluate qualified applicants without regard to race color religion sex sexual orientation gender identity national origin age marital status protected veteran status disability status or any other characteristic protected by law.

What We Do

Runpod is pioneering the future of AI and machine learning offering cutting-edge cloud infrastructure for full-stack AI applications. Founded in 2022 we are a rapidly growing well-funded company with a remote-first organization spread globally. Our mission is to empower innovators and enterprises to unlock AI's true potential driving technology and transforming industries. Join us as we shape the future of AI. We are building Cloud services focused on accelerating AI adoption. Whether you're an experienced ML developer training a large language model or an enthusiast tinkering with stable diffusion we strive to make GPU compute as seamless and affordable as possible.

Why Work With Us

Our Guiding Virtues Give a sh*t - We want to work with people who care - about our customers and about each other. Look in the mirror - We deeply reflect on our own actions and seek to better ourselves. Courage over comfort - We tackle hard truths and tough situations directly even when it makes us uncomfortable.

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