Founding SRE Engineer

• Architect Dedicated Environments: Lead the design and implementation of high-throughput, isolated processing clusters for Enterprise clients
• Scale Production: Drive general improvements in our Temporal clusters and production Kubernetes environments
• Technical Execution: Be hands-on with the stack to optimize resource allocation, reduce latency, and enforce isolation strategies for critical accounts
• Beat the Customer to the Alert: Overhaul our Datadog observability suite to aggressively reduce Time-to-Detect (TTD)
• Threshold Tuning: tune alert thresholds to eliminate noise and focus on 'symptom-based' alerts
• External SLO Ownership: Define and report on Service Level Objectives (SLOs)
• First Responder & Mitigation: Serve as the first line of defense during outages
• Drive Recovery Metrics: accountable for shortening Time-to-Mitigation (TTM) and Time-to-Recover (TTR)
• Root Cause Analysis: Lead the post-mortem process to determine Time-to-Root Cause and implement systemic fixes
• Accountability: Work collaboratively with Engineering Owners to track improvements against the reliability roadmap
• Cross-Functional Bridge: Serve as the primary technical voice to the Customer Experience (CX), Sales, and Leadership teams

• Expert-level ability to debug Kubernetes internals (HPA logic, node scaling) and operate stateful workflow engines (Temporal) at scale
• Proven track record as a primary first responder, demonstrating the ability to aggressively reduce Time-to-Mitigation (TTM) and Time-to-Recover (TTR)
• Experience architecting Datadog SLOs and tuning alerts to distinguish system noise from actual user pain
• Strong proficiency in Python or Bash to automate manual recovery and operational tasks

Experience scaling GPU/video rendering workloads or thriving in early-stage, high-velocity startups

• Offers Equity
• Bonus