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# Senior Infrastructure Engineer

- **Company:** VOXEL51, INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Amazon Web Services, Microsoft Azure, Bash Shell, Cloud Computing, Databases, Continuous Integration, Software Debugging, Distributed Systems, Github, Identity and Access Management, Python (Programming Language), Machine Learning, MongoDB, NoSQL, Role-Based Access Control, Release Management, Cloud Services, Ansible, Data Logging, Google Cloud, Load Balancing, Kubernetes Helm Charts, Amazon Virtual Private Cloud (VPC), Containerization, Kubernetes, Firewall Services Module, Terraform, Docker
- **Published:** November 8, 2026
- **Apply:** https://www.juju.com/job/28_25303_4ea0421b430ebf900d5e8fa5371ea287

## About the Role

* 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

## Description

* 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 challengesAnticipate 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