About this role
Role Overview
Lead the infrastructure strategy and hands-on execution behind production AI systems. You will shape cloud infrastructure, the developer platform, and reliability practices to keep systems secure, observable, resilient, and scalable.
Key Responsibilities
- Own the architecture and evolution of multi-cloud infrastructure across AWS and GCP, balancing scalability, reliability, security, and cost.
- Lead and develop an Infrastructure and Platform Engineering team, fostering ownership, operational excellence, and continuous improvement.
- Build reproducible, version-controlled, auditable infrastructure using Terraform or equivalent infrastructure-as-code tooling.
- Design and improve CI/CD systems for fast, reliable, secure software delivery.
- Establish observability across metrics, logs, traces, and alerting to identify and resolve production issues proactively.
- Drive reliability practices including incident response, on-call operations, SLOs, error budgets, disaster recovery, and blameless postmortems.
- Partner with Security and Engineering leadership to embed security by default and support compliance with ISO 27001, SOC 2, and CMMC.
- Improve developer experience through automation and platform tooling that reduces operational friction.
Qualifications
- 8+ years building and operating production infrastructure, platform engineering, DevOps, or SRE systems.
- 3+ years leading engineering teams in high-growth environments.
- Deep AWS, GCP, or multi-cloud production expertise.
- Strong experience with Terraform, Kubernetes, containers, and modern CI/CD platforms.
- A demonstrated ability to build highly available, observable, resilient production systems.
- Strong knowledge of infrastructure security, compliance, and operational risk management.
- Experience scaling engineering organizations and infrastructure in fast-moving startup environments.
- Excellent communication skills and the ability to influence technical strategy with engineering and executive stakeholders.
Preferred Experience
- Supporting AI/ML infrastructure or large-scale data platforms.
- Working with model training, inference, evaluation, or data-pipeline infrastructure.
- Operating regulated cloud environments, including FedRAMP, GovCloud, or CMMC Level 2.
- Contributions to platform engineering, open-source infrastructure, or developer-productivity initiatives.
Work Terms
- Full-time, remote role.
Compensation
- Listed compensation range: $350, 000 to $500, 000 annually.
- Source materials also state a national base-salary range of $230, 000 to $260, 000 annually.
- Equity compensation is available to all employees, with potential performance-based bonuses.