Senior Infrastructure Engineer

Voxel51

Senior Infrastructure Engineer at Voxel51 shaping architecture for managing unstructured data. Leading containerized systems and CI/CD pipelines for enterprise-scale deployments with a focus on AI.

Posted 4/27/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $200,000 - $240,000 per yearWebsite

Tech Stack

Tools & technologies

AnsibleAWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetesMongoDBNoSQLPythonTerraform

About the role

Key responsibilities & impact

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

Requirements

What you’ll need

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

Benefits

Comp & perks

equity in the form of options
a variety of benefits
the opportunity to grow in an exciting and collaborative environment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

KubernetesDocker ComposeTerraformAnsiblePythonCI/CDGitHub ActionsGCPMongoDBObservability

Soft Skills

strong communicationadaptabilitycuriositymentoringtroubleshootingcollaborationleadershipproblem-solvingcustomer supportdeveloper productivity