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We’re building AI that transforms personal injury law—helping attorneys uncover evidence, value cases accurately, and win for their clients. As our Director of DevOps & Infrastructure, you’ll lead the team responsible for ensuring Supio’s platform runs fast, reliably, and securely at scale. You’ll architect systems that power high-throughput AI workloads, streamline developer velocity, and guarantee uptime for mission‑critical legal data systems.
This is a hands‑on technical leadership role for someone who thrives in fast‑growing environments – balancing speed and safety, automation and innovation, scale and simplicity.
What You’ll
- DoLead and scale Supio’s DevOps and infrastructure engineering teams, building a culture of reliability, speed, and automatio
- n.Architect and manage Supio’s AWS cloud infrastructure for performance, scalability, and cost efficienc
- y.Build systems that support AI model deployment, retrieval workflows, and data-heavy application
- s.Design and maintain CI / CD pipelines that enable rapid iteration across multiple product team
- s.Partner with Core Systems, App Experience, and AI Platform teams to ensure smooth, low-latency service deliver
- y.Drive observability and reliability—establishing metrics, monitoring, and alerting frameworks to ensure 99.9%+ uptim
- e.Own infrastructure security and compliance, ensuring customer data integrity and adherence to industry best practice
- s.Evaluate and implement modern tools and frameworks to increase development velocity and operational excellenc
- e.Mentor and grow engineers into world‑class DevOps professionals who think in systems, not silo
Who We’re Looking For
orExperienced 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 teamQualifications
nsBachelor’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 plu#J-18808-Ljbffr