{"id":55785,"url":"https://alion.io/job/runpod-site-reliability-engineer","title":"Site Reliability Engineer","company":{"id":16660,"name":"RunPod","domain":"runpod.io","url":"https://alion.io/company/runpod","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":{"min":150000,"max":200000,"currency":"USD","period":"year","gross":null,"usd_annual":200000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Bash","optional":false},{"name":"CI/CD","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"Linux","optional":false},{"name":"Prometheus","optional":false},{"name":"Python","optional":false},{"name":"RunPod","optional":false},{"name":"SLI/SLO/SLA","optional":false}],"status":"live","first_seen_at":"2026-07-10T19:51:51Z","employer_posted_date":"2026-07-10","last_verified_at":"2026-10-30T20:39:23Z","board_verified":true,"closed_at":null,"days_open":112,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":112},"description":"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.\nWe'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.\nLearn more in our CEO's funding announcement: https://www.runpod.io/blog/one-million-developers.\nThe 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.\nThis team is responsible for:\nDefining and enforcing reliability standards across engineering\n\nDesigning incident response processes and improving recovery times\n\nBuilding observability systems and reliability tooling\n\nDriving SLO adoption and production readiness reviews\n\nReducing operational toil through automation\n\nThe 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.\nAs 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.\nThis 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.\nThis is a high-impact role central to maintaining trust with developers running critical AI workloads on Runpod.\nYour Impact\nIncrease platform uptime and reduce incident frequency and duration\n\nEstablish and operationalize SLIs/SLOs across services\n\nImprove MTTR through better tooling, automation, and runbooks\n\nStrengthen production readiness standards\n\nDrive long-term systemic reliability improvements\n\nYou will influence how reliability is defined and measured across Runpod and help build the operational backbone of the company.\nResponsibilities:\nReliability Engineering\nDefine and implement SLIs/SLOs for critical services\n\nLead incident response and coordinate cross-team mitigation efforts\n\nConduct blameless postmortems and ensure corrective actions are completed\n\nPerform production readiness reviews for new services and features\n\nIdentify systemic risks and drive preventative improvements\n\nObservability & Monitoring\nDesign and improve monitoring, alerting, and dashboards (Prometheus, Grafana, etc.)\n\nImprove signal-to-noise ratio in alerts and reduce alert fatigue\n\nBuild internal tooling for reliability tracking and reporting\n\nImprove visibility into GPU performance and distributed systems health\n\nAutomation & Toil Reduction\nAutomate recurring operational workflows\n\nBuild tools and scripts (Python, Go, Bash) to eliminate manual processes\n\nImprove deployment safety through automation and guardrails\n\nStrengthen CI/CD reliability and release processes\n\nCross-Functional Reliability Advocacy\nPartner with engineering teams to improve system resilience\n\nProvide guidance on fault tolerance, scalability, and failure handling\n\nContribute to architectural discussions with a reliability-first mindset\n\nRequirements:\n5+ years of experience in SRE, Reliability Engineering, or Production Engineering\n\nStrong Linux systems and Networking expertise\n\nExperience managing containerized production systems\n\nStrong understanding of distributed systems and failure modes\n\nExperience defining and managing SLIs/SLOs\n\nProven incident response and postmortem leadership experience\n\nStrong scripting or programming skills\n\nExperience with monitoring and alerting systems\n\nExcellent written communication skills\n\nSuccessful completion of a background check\n\nPreferred:\nExperience with GPU infrastructure or AI/ML platforms\n\nExperience improving reliability in high-growth or large scale environments\n\nFamiliarity with GPU observability tooling\n\nExperience with Infrastructure as Code\n\nExperience working in startup environments\n\nExperience building internal reliability platforms or frameworks\n\nWhat You’ll Receive:\nThe 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 location\n\nMeaningful equity in a fast-growing company- everyone on the team receives stock options - your impact drives our growth, and you share in the upside.\n\nGenerous medical, dental & vision plans\n\nFlexible PTO- take the time you need to recharge\n\nMost roles are remote work first with an inclusive, collaborative teams utilizing slack as the main form of internal communication\n\nJoin a passionate team on the cutting edge of AI infrastructure - where culture, learning, and ownership are at the heart of how we scale.\n\nRunpod 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. 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