Senior Software Engineer

Job title
: Senior DevOps Engineer
Client
: Voxel
Location
: San Francisco, California, United States - On-Site
Contract type
: Full-time, Permanent
Contract duration
:
Salary
:

About The Role
Industrial labor is incredibly dangerous work, with millions of preventable workplace injuries every year. Voxel is on a mission to revolutionize workplace safety and operations using full-stack AI and computer vision.

As a Senior DevOps Engineer on Voxel's platform team in San Francisco, you will help build and operate large-scale cloud and video/ML infrastructure that powers our site intelligence platform. You'll design, automate, and maintain AWS- and Kubernetes-based systems that support real-time video analytics, ML pipelines, and edge devices. Your work will directly enable safety and operations leaders at major enterprises to see unseen risks and prevent incidents before they happen.

You'll collaborate closely with software, ML, and product teams, laying the foundation for critical services that our customers depend on, while driving reliability, scalability, and security across the platform.

Responsibilities

• Build and maintain cloud infrastructure and distributed systems for data processing, MLOps, and other platform services
• Develop and implement DevOps practices to deploy and operate applications in AWS EKS
• Build infrastructure-as-code modules and workflows using Terraform
• Design and develop architectures for running AI workloads on real-time video at scale
• Implement and promote security best practices across the software engineering organization

Requirements

• Based in, or able to work on-site in, the San Francisco Bay Area, California, United States
• 4+ years of professional experience in cloud infrastructure and DevOps engineering
• Bachelor's degree in Computer Science, Computer Engineering, or a closely related field, or equivalent practical experience
• Hands-on production experience with Kubernetes and the broader Kubernetes ecosystem
• Professional experience with AWS services including IAM, S3, RDS, and EKS
• Professional experience using Infrastructure-as-Code tools such as Terraform to provision and manage cloud infrastructure

Preferred Skills

• Experience building and scaling high-availability distributed systems
• Experience implementing and operating observability tools such as Grafana, Prometheus, and Amazon CloudWatch
• Experience supporting ML pipelines, MLOps workflows, or large-scale video data processing systems
• Experience implementing security best practices for cloud-native, DevOps-focused engineering teams

Benefits

• Extensive health, dental, and vision insurance
• Highly competitive paid parental leave and support system
• Equity through an Incentive Plan
• Generous paid time off and flexible work arrangements
• Daily meals in-office, vibrant company events, and team-building activities
• 401(k) retirement plan, HSA options, and pre-tax commuter benefits