Gauss Labs is an industrial AI company on a mission to revolutionize manufacturing with AI, starting with the semiconductor sector. Panoptes is an AI-based virtual metrology solution deployed in high-volume manufacturing fabs, helping customers improve yield, reduce costs, and accelerate production. Our software runs in our customers' own managed environments, and we're seeking a Site Reliability Engineer to own the reliability of the infrastructure and platform that Panoptes runs on. You will keep the platform available, performant, and scalable; own monitoring, alerting, incident first-response, and the on-call rotation; and build the automation and observability that let engineering teams operate their services safely.
Responsibilities
• Platform reliability and operations: Own platform-layer reliability across both environments. In our internal cloud environment: full ownership — cluster health, resource management (CPU/memory/OOM), scheduling, autoscaling, Kubernetes/EKS lifecycle. In the customer environment: operate directly at the application-namespace level and for the customer-controlled cluster/node layer, diagnose and clearly communicate what's needed, and operate the platform within their setup, decisions, and constraints.
• Monitoring and Alerting: Build and maintain robust monitoring and alerting for the infrastructure and platform layer to proactively identify and resolve issues before they impact the platform.
• Incident Response: Own incident first-response for the platform layer and participate in the on-call rotation to minimize downtime and restore service quickly.
• Automation: Develop automation tools and scripts to streamline operations, reduce manual effort, and enable engineering teams to operate their own services safely.
• Capacity Planning: Forecast resource needs, optimize resource utilization, and ensure the platform infrastructure can handle increasing workloads.
• Deployment infrastructure: Build and maintain CI/CD pipelines and deployment infrastructure for the platform.
• Continuous Improvement: Drive a culture of continuous improvement by identifying opportunities to enhance platform reliability, performance, and efficiency.
Basic Qualifications
• Bachelor's degree in computer science, engineering, or a related discipline
• 5+ years of industry experience as a Site Reliability Engineer or in platform/infrastructure engineering
• Hands-on experience operating Kubernetes in production (EKS preferred): cluster lifecycle, scheduling, autoscaling, resource management
• Experience with cloud platforms (AWS preferred) and containerization technologies (Docker, Kubernetes)
• Experience with observability and alerting tools (Prometheus, Grafana, ElasticSearch, Jaeger)
• Experience with scripting languages (Python, Bash)
• Working knowledge of GitHub, GitHub Actions, and CI/CD concepts
• Strong problem-solving and troubleshooting skills
• Working proficiency in English for internal documentation and technical coordination
Preferred Qualifications
• Knowledge of AI/ML infrastructure and workloads.
• Knowledge of database technologies (MongoDB, PostgreSQL)
• Experience operating software in customer-managed (on-prem or customer-cloud) environments
• Exposure to manufacturing, semiconductor, or enterprise B2B customer environments