[Hiring] Senior Infrastructure Engineer @Voxel51

Role Description

As a Senior Infrastructure Engineer at Voxel51, you will shape the architecture and strategy of the systems that power our platform — from individual researchers to enterprise-scale deployments. You’ll lead the design of containerized systems, CI/CD pipelines, and deployment solutions across cloud and on-premises environments, while solving the unique challenges of serving unstructured data (images and video) at scale.

• Shape the architecture and evolution of Voxel51’s infrastructure to support deployments ranging from individual researchers to Fortune 500 enterprises.
• Design, build, and scale deployment systems across cloud (GCP, AWS, Azure) and on-premises environments, ensuring reliability, security, and repeatability.
• Partner with enterprise customers (and our Customer Success Machine Learning Engineers) to deliver and support production-grade deployments in their environments, guiding them through installation, troubleshooting, and scaling.
• Lead infrastructure initiatives across engineering teams, enabling peers to develop, test, and ship features faster with robust internal tooling and automation.
• Drive best practices in CI/CD, evolving our pipelines (currently GitHub Actions + Google Cloud Build) and introducing new approaches where they add value.
• Develop and maintain deployment solutions for Voxel51-hosted environments (GKE) as well as customer on-prem installations (K8s or Docker Compose).
• Champion developer productivity, improving workflows for development and automated cloud deployments.
• Troubleshoot and resolve complex infrastructure issues, spanning build failures, runtime failures, and customer deployment challenges.
• Anticipate and prevent failures by designing monitoring, alerting, and predictive solutions for both internal and customer environments.
• Mentor engineers and set technical direction, ensuring Voxel51’s infrastructure remains ahead of customer needs and industry trends.

Qualifications

• Deep experience with containerized environments.
• Building, packaging, and debugging container images.
• Kubernetes (and Docker Compose) for orchestration.
• Building, maintaining, and deploying Helm charts.
• Infrastructure as Code expertise (Terraform, Ansible, or equivalent).
• Scripting and automation skills (Bash or similar).
• Python expertise, including build and environment management, packaging/distribution, release management, and dependency debugging.
• CI/CD systems experience, ideally GitHub Actions (we use this today).
• Cloud infrastructure knowledge, especially GCP (IAM, VPC, load balancing, ingress/egress routing, proxies, firewall rules).
• Database fundamentals, ideally MongoDB or similar NoSQL systems.
• Observability skills, including designing meaningful monitors, logging, tracing, and alerting.
• Security best practices, including certificates, service accounts, least privilege, and role assumptions.
• Troubleshooting ability across complex, distributed systems (including with customers in the loop).
• Testing mindset: comfortable with designing and applying different types of tests to validate functionality.
• Strong communication skills, with the ability to work directly with enterprise customers as well as collaborate across teams in a remote-first, collaborative environment.
• Adaptability and curiosity, with the ability to ramp quickly on unfamiliar concepts and technologies.

Requirements

• The cash compensation for this person is in the $210K - $240K range.
• In addition to base comp for this role, we offer equity in the form of options, a variety of benefits, and the opportunity to grow in an exciting and collaborative environment.