DevOps / Platform Engineer

Positon: DevOps / Platform Engineer Location: San Francisco Bay Area (Hybrid) Compensation: Competitive Salary + Meaningful Equity Company: Confidential AI Startup | Series A ($15M) Build the Infrastructure Behind the Next Generation of AI. The AI application layer is evolving rapidly. Behind every breakthrough product is a platform capable of training, deploying and operating AI systems at scale. Our client is building exactly that. They're an AI-native startup that has recently closed a $15M Series A, led by a Tier 1 Silicon Valley venture capital firm, alongside investment from some of the most respected founders and technology executives in the Valley. With fresh funding, exceptional leadership and ambitious product goals, they're now looking for a DevOps / Platform Engineer to build the cloud infrastructure that will power the next phase of their growth. The Opportunity This isn't a traditional DevOps role. You'll be joining early enough to define how infrastructure is built from the ground up while helping establish the engineering standards that will support the company's growth over the coming years. You'll work closely with backend engineers, AI researchers and product teams to build scalable, secure and highly automated infrastructure capable of supporting AI workloads in production. If you enjoy solving difficult infrastructure problems, automating everything possible and enabling engineering teams to move faster, you'll thrive here. What You'll Do Build Scalable Cloud Infrastructure Design and maintain cloud infrastructure on AWS or GCPBuild highly available, production-grade environmentsImprove scalability, reliability and resilience across the platformDesign infrastructure that grows with the businessPlatform Engineering Build internal developer platforms that accelerate engineering productivityImprove deployment pipelines and developer experienceStandardise infrastructure through Infrastructure-as-CodeCreate reusable tooling across engineeringAutomation Automate provisioning, deployments and operational workflowsImprove CI/CD pipelinesEliminate manual operational tasks wherever possibleBuild systems that engineers love usingReliability & Observability Own monitoring, alerting and incident responseImprove platform reliability and uptimeBuild comprehensive logging and observabilityLead operational excellence initiativesSecurity Implement infrastructure security best practicesManage secrets and access controlsImprove compliance and cloud security postureEnsure production environments remain secure as the company scales Experience supporting AI infrastructure, GPU workloads, ML platforms or large-scale distributed systems would be a significant advantage. What We're Looking For You'll likely have: 4+ years building cloud infrastructure in production environmentsStrong experience operating Kubernetes-based platformsA passion for automation and reducing operational overheadExperience improving reliability and engineering velocityA product mindset with an appreciation for developer experienceThe ability to thrive in fast-moving startup environmentsExcellent communication skills and a collaborative approach Why This Opportunity? Early-stage engineering opportunities like this are rare. You'll be joining shortly after a successful Series A with the resources to execute, while still having genuine influence over technical direction and engineering culture. You'll work alongside an experienced founding team backed by one of Silicon Valley's leading venture firms and supported by angel investors who have helped build some of the world's most successful technology companies. Your work won't be hidden behind layers of process. You'll help shape the platform that enables the entire business to move faster. Apply today to learn more about this confidential opportunity.