DevOps Engineer

• Maintaining and improving CI/CD pipelines and GitOps-based deployments
• Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors
• Building out monitoring, alerting, and observability
• Debugging production issues across services
• Managing cloud costs and capacity planning
• Working closely with a small engineering team - you’d own infra, not a slice of it, * Real scaling challenges - bursty scraping workloads, cache invalidation, multi-region, millions of daily requests
• AI-native company - your infra directly powers AI agents used by leading companies in the space
• NYC-based - working closely with engineering, short feedback loops

• ~3+ years in a DevOps or platform engineering role, working in production environments
• Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale
• Strong Kubernetes experience in a managed cloud environment
• Proficiency with infrastructure as code (Terraform or similar)
• Experience with GitOps-based deployment workflows
• Built or maintained observability stacks (logging, metrics, alerting)
• Experience handling production incidents calmly and methodically

Nice to have:

• Multi-region deployments
• Search infrastructure
• Data pipeline experience (streaming, warehousing)
• Proxy/networking infrastructure at scale