DevOps Engineer

About the Role

Aviary is growing fast, and our infrastructure needs to grow with it. We're looking for a Dev Ops / Infrastructure Architect to be the first dedicated infrastructure hire on our engineering team - reporting directly to our CDO and working closely with engineering and customer success to scale our platform responsibly.

This is a high-ownership, high-visibility role for someone who wants to shape infrastructure from the ground up at a fast-moving AI company.

Infrastructure Management

• Architect and manage scalable, highly available infrastructure on AWS (primary), with presence across GCP and Azure
• Introduce database redundancy and multi-region hosting to improve reliability and minimize latency for customers
• Own cost optimization without sacrificing the resilience the platform needs at scale

Deployment Pipelines

• Build and maintain CI/CD pipelines using Git Hub Actions
• Manage containerized workloads with Kubernetes and Docker
• Establish deployment standards and best practices across the engineering team

Customer Onboarding

• Support technical onboarding for enterprise customers - including SAML, OIDC, and SFTP configuration
• Ensure infrastructure meets compliance and security requirements as we bring on larger clients
• Partner with the Customer Success team to reduce onboarding friction and time-to-value

AI/ML Model Infrastructure

• Own compute infrastructure for increasing model load - including self-hosted models (e.g., Deepgram) and custom model deployments
• Enable the AI/ML team to deploy, scale, and optimize models efficiently
• Build the infrastructure foundation for continued AI investment

• 4+ years of experience in a Dev Ops, SRE, or infrastructure engineering role
• Deep hands‑on expertise with AWS; limited working knowledge of GCP and/or Azure
• Strong proficiency with infrastructure‑as‑code (Terraform, Cloud Formation, or similar)
• Experience with Kubernetes, Docker, and Git Hub Actions
• Familiarity with enterprise authentication protocols - SAML, OIDC, and secure file transfer (SFTP)
• Solid understanding of networking fundamentals (DNS, load balancing, VPCs, firewalls)
• Experience supporting AI/ML workloads or model serving infrastructure is a strong plus
• Proven ability to operate as a senior IC - owning systems end‑to‑end with minimal oversight
• Strong communication skills; comfortable working cross‑functionally with engineering, CS, and leadership

• Experience with self-hosted model infrastructure (Whisper or similar)
• Security or compliance experience (SOC 2, ISO 27001, HIPAA)
• Background in early‑stage or high‑growth SaaS environments

• Equity
• Hybrid work – 3+ days in our NYC office
• Health, dental, and vision coverage
• Unlimited PTO
• In‑office meals stipend
• Learning & development budget