About The Role
Aviary is growing fast, and our infrastructure needs to grow with it. We're looking for a DevOps / 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.
What You'll Own
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 GitHub 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
What We're Looking For
- 4+ years of experience in a DevOps, 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, CloudFormation, or similar)
- Experience with Kubernetes, Docker, and GitHub 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
Nice to Have
- 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
What We Offer
- Equity
- Hybrid work - 3+ days in our NYC office
- Health, dental, and vision coverage
- Unlimited PTO
- In-office meals stipend
- Learning & development budget
