Containerization Strategy: Implement and optimize Docker/K8s deployments for our AI/ML workloads.
Cost Optimization: Continue our approach of strategic compute placement using owned, rented or borrowed infrastructure where it makes financial sense without sacrificing security or reliability.
Observability & Monitoring: Implement comprehensive logging, monitoring, and alerting across our distributed systems.
What We're Looking For
5+ years of DevOps or infrastructure engineering experience, with a track record of building from scratch
Hybrid infrastructure expertise: experience managing both cloud (AWS) and self-hosted infrastructure, understanding the tradeoffs and security risks of each
Kubernetes production experience: deep knowledge of cluster design, operations, and scaling
Networking mastery: strong understanding of VPCs, mesh networks, VPNs, and zero-trust architectures
Security-first mindset: experience with security compliance, key management, IAM policies, and hardening production systems
CI/CD expertise: hands-on experience building robust pipelines for build testing before deployment
Infrastructure as Code: proficiency with Terraform, Ansible, or similar tools
Scripting and automation: strong Python, Bash, or Go skills for tooling and automation
Policy and documentation: ability to establish best practices and document them clearly for team adoption
Leadership mentality: comfortable setting standards and directing technical decisions, not just executing them
Nice to Have
Experience architecting infrastructure for AI/ML workloads
Background in a fast-moving startup or scale-up environment
Hands-on experience with cost optimization across cloud and on-premises infrastructure
Why Join
Opportunity to solve real healthcare problems with cutting-edge technology
Well-funded startup with a strong market presence
Work with advanced AI technology in a healthcare context
Collaborate with a talented team in a fast-paced environment
Competitive salary with equity options
Performance and quarterly bonuses
Professional development opportunities
Compensation and Logistics
Remote, full-time
Reports to: Head of Engineering
Compensation: Competitive, based on experience