For companies:
For professionals:
For everyone:
Responsibilities
Runpod is the AI Developer Cloud. More than one million developers, from indie researchers to teams running frontier models in production, use Runpod to experiment, train, fine-tune, deploy, and scale AI on one platform. The platform has processed more than 20 billion inference requests. We closed a $100M Series A in June 2026. We're at an inflection point for AI infrastructure, and we're building the platform the next generation of developers will depend on.We're a small, remote-first team. We take ownership seriously, move fast, and ship work that more than a million developers rely on every day. We're looking for people who care deeply, build with urgency, and want to matter at scale.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 engineeringDesigning incident response processes and improving recovery timesBuilding observability systems and reliability toolingDriving SLO adoption and production readiness reviewsReducing operational toil through automationAs 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.Your ImpactIncrease platform uptime and reduce incident frequency and durationEstablish and operationalize SLIs/SLOs across servicesImprove MTTR through better tooling, automation, and runbooksStrengthen production readiness standardsDrive long-term systemic reliability improvementsYou will influence how reliability is defined and measured across Runpod and help build the operational backbone of the company.Responsibilities:Reliability EngineeringDefine and implement SLIs/SLOs for critical servicesLead incident response and coordinate cross-team mitigation effortsConduct blameless postmortems and ensure corrective actions are completedPerform production readiness reviews for new services and featuresIdentify systemic risks and drive preventative improvementsObservability & MonitoringDesign and improve monitoring, alerting, and dashboards (Prometheus, Grafana, etc.)Improve signal-to-noise ratio in alerts and reduce alert fatigueBuild internal tooling for reliability tracking and reportingImprove visibility into GPU performance and distributed systems healthAutomation & Toil ReductionAutomate recurring operational workflowsBuild tools and scripts (Python, Go, Bash) to eliminate manual processesImprove deployment safety through automation and guardrailsStrengthen CI/CD reliability and release processesCross-Functional Reliability AdvocacyPartner with engineering teams to improve system resilienceProvide guidance on fault tolerance, scalability, and failure handlingContribute to architectural discussions with a reliability-first mindsetRequirements:5+ years of experience in SRE, Reliability Engineering, or Production EngineeringStrong Linux systems and Networking expertiseExperience managing containerized production systemsStrong understanding of distributed systems and failure modesExperience defining and managing SLIs/SLOsProven incident response and postmortem leadership experienceStrong scripting or programming skillsExperience with monitoring and alerting systemsExcellent written communication skillsSuccessful completion of a background checkPreferred:Experience with GPU infrastructure or AI/ML platformsExperience improving reliability in high-growth or large scale environmentsFamiliarity with GPU observability toolingExperience with Infrastructure as CodeExperience working in startup environmentsExperience building internal reliability platforms or frameworksWhat You’ll Receive:The competitive base pay for this position ranges from $150,000- $200,000 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 locationMeaningful 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 plansFlexible PTO- take the time you need to rechargeMost 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. We welcome every qualified candidate eligible to work in the United States; however, we are currently unable to sponsor employment visas.
Closes in:
0
days
0
hours
0
min
0
sec
tune NOT FOR YOU? IMPROVE YOUR RESULTS