Senior Infrastructure Engineer

🕒 September 10

🇺🇸 United States – Remote

💵 $210k - $240k / year

⏰ Full Time

🟠 Senior

👷 Infrastructure Engineer

👻 Ghost score 0%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 64 days.
• Jobs at this company usually fill in 80 days.

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Voxel51

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Voxel51 is the most powerful Visual AI and computer vision data platform that maximizes AI performance with better data. It helps enterprises unlock the value of their data by streamlining data curation, management, and annotation workflows, leading to increased accuracy and productivity in machine learning projects. With capabilities like multimodal data support and robust model evaluation, Voxel51 enables users to build cleaner datasets and derive better insights faster, all while ensuring enterprise-grade security and compliance.

📋 Description

• Shape the architecture and evolution of Voxel51’s infrastructure for deployments ranging from individual researchers to Fortune 500 enterprises • Design, build, and scale deployment systems across GCP, AWS, Azure, and on-premises environments • Partner with enterprise customers and Customer Success Machine Learning Engineers on production-grade deployments, installation, troubleshooting, and scaling • Lead infrastructure initiatives across engineering teams through internal tooling and automation • Drive CI/CD best practices and evolve GitHub Actions and Google Cloud Build pipelines • Develop and maintain deployment solutions for Voxel51-hosted GKE environments and customer on-premises Kubernetes or Docker Compose installations • Improve developer workflows and automated cloud deployments • Troubleshoot build failures, runtime failures, and customer deployment challenges • Design monitoring, alerting, and predictive solutions to anticipate and prevent failures • Mentor engineers and set technical direction for infrastructure reliability, security, and scalability

🎯 Requirements

• 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 • Cloud infrastructure knowledge, especially GCP, including IAM, VPC, load balancing, ingress/egress routing, proxies, and firewall rules • Database fundamentals, ideally MongoDB or similar NoSQL systems • Observability skills, including monitors, logging, tracing, and alerting • Security best practices, including certificates, service accounts, least privilege, and role assumptions • Troubleshooting ability across complex, distributed systems • Testing mindset and ability to design and apply different types of tests • Strong communication skills for working with enterprise customers and remote-first teams • Adaptability and curiosity • Must be based in the United States • Prepared to travel to at least 2 in-person retreats per year

🏖️ Benefits

• Equity in the form of options • A variety of benefits • Opportunity to grow in an exciting and collaborative environment • Fully remote work arrangement • At least 2 in-person retreats per year

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