Director of DevOps & Infrastructure
Supio
About Us
- Lead and scale Supio’s DevOps and infrastructure engineering teams, building a culture of reliability, speed, and automation.
- Architect and manage Supio’s AWS cloud infrastructure for performance, scalability, and cost efficiency.
- Build systems that support AI model deployment, retrieval workflows, and data-heavy applications.
- Design and maintain CI/CD pipelines that enable rapid iteration across multiple product teams.
- Partner with Core Systems, App Experience, and AI Platform teams to ensure smooth, low-latency service delivery.
- Drive observability and reliability—establishing metrics, monitoring, and alerting frameworks to ensure 99.9%+ uptime.
- Own infrastructure security and compliance, ensuring customer data integrity and adherence to industry best practices.
- Evaluate and implement modern tools and frameworks to increase development velocity and operational excellence.
- Mentor and grow engineers into world-class DevOps professionals who think in systems, not silos.
- Experienced DevOps and infrastructure leader who has scaled systems for a high-growth SaaS or AI company.
- Deep technical expertise in cloud architecture (AWS preferred), containers, and infrastructure-as-code.
- Strong understanding of AI deployment workflows, including model training, inference pipelines, and data orchestration.
- Track record of improving uptime, latency, and developer efficiency through thoughtful systems design.
- Passionate about security, automation, and operational resilience.
- Strong communicator who collaborates effectively across engineering, security, and product teams.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 10+ years of relevant engineering experience, including 4+ years leading DevOps or infrastructure teams.
- Proven success operating cloud infrastructure at scale with multi-region deployments.
- Experience running secure, high-availability systems handling sensitive or regulated data.
- Expertise in networking, observability, and performance tuning for data-heavy, low-latency systems.
- Familiarity with MLOps, GPU orchestration, and AI pipeline performance is a strong plus.
Benefits & Perks
- Health insurance: medical, dental, and vision
- 401k
- Flexible paid time off (PTO) and company-paid holidays
- Monthly commuter subsidies
- DoorDash subsidies for breakfast and dinner