Staff Software Engineer - DevOps

Job Posted 18 Days Ago Reposted 18 Days Ago
8 Locations
Hybrid
140K-210K Annually
Senior level
Artificial Intelligence • Security • Software
The Role
As a Staff Software Engineer in DevOps, you'll build and maintain cloud infrastructure, develop DevOps practices, and implement security best practices for a platform focused on workplace safety.
Summary Generated by Built In

Who Are We

Industrial labor is incredibly dangerous work - almost 3 million people in the US per year are injured in the workplace for entirely preventable and at times, fatal or debilitating causes. Protecting these essential people who power our world is what motivates Voxelitos, and we'd love for you to join us. At Voxel, we're passionate about revolutionizing workplace safety and operations with groundbreaking, full-stack AI and computer vision technology.


Voxel’s site intelligence platform helps safety and operations leaders see the unseen risks, make strategic decisions, and prevent workplace incidents before they happen. Our customers include Fortune 500 companies across major grocers and retailers, manufacturers, food and beverage warehousers, supply chain and logistics service providers. Based in SF with team members sitting all over the globe, Voxel is backed by industry leading VC’s.




We are looking for engineers who are excited by the thought of building a large scale video and data processing infrastructure from the ground up. As a software engineer on the platform team, you will be working directly on the systems that power our ML pipeline, Web platform, and Edge devices. You will leverage both your software and infrastructure engineering experience to lay the foundation for critical services our which customers depend on to make their workplaces safer. As part of the platform team you will collaborate with engineers on other teams to help ensure the reliability and availability of our product.


What You'll Do

  • Build and maintain cloud infra and distributed systems for data processing, MLOps and other services.
  • Develop and implement DevOps practices to deploy applications in AWS EKS.
  • Build infrastructure configuration-as-code modules using Terraform.
  • Design and develop architectures for running AI on realtime video at scale.
  • Implement security best practices for the software engineering organization.

Minimum Qualifications

  • Bachelor's Degree in Computer Science, computer Engineering, or equivalent experience.
  • 5+ years of experience working in Cloud Infrastructure, DevOps.
  • Proficiency with the Kubernetes ecosystem
  • Experience with AWS services including IAM, S3, RDS, EKS.
  • Experience with IaC such as Terraform.
  • Experience building and scaling high availability distributed systems.
  • Understanding of standard Observability tools such as Grafana, Prometheus, Cloudwatch etc.

The anticipated base salary range for this position is $140,000 to $210,000. Base salary ranges may vary by geographic location, experience, and qualifications.


Why Join Us?

Join a visionary team revolutionizing safety and operations, directly impacting the well-being of millions of essential workers. This is your chance to build an extraordinary business and foster a vibrant company culture that demands your absolute best. Alongside AI experts, experienced entrepreneurs, and passionate problem-solvers, you'll play a pivotal role in shaping the company's growth trajectory and market position. Enjoy a competitive salary, benefits, and a dynamic work environment.


Benefits:

Extensive / Generous health, dental, and vision insurance.

Highly competitive paid parental leave and support system.

Ownership in the business through an Equity Incentive Plan.

Generous paid time off and / or flexible work arrangements.

Daily meals in-office, vibrant company events, team-building.

401K retirement plan, HSA options, pre-tax Commuter Card.

Top Skills

AWS
Cloudwatch
Eks
Grafana
Kubernetes
Prometheus
Terraform
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The Company
HQ: San Francisco, California
62 Employees
On-site Workplace
Year Founded: 2020

What We Do

Voxel uses computer vision and AI to enable security cameras to automatically identify hazards and high-risk activities in real-time, keeping people safe and driving operational efficiencies. Our technology targets the key drivers for workers’ compensation, general liability, and property costs while providing full site visibility.

The Voxel platform works by sending real-time notifications of safety violations and risky behaviors to on-site personnel and providing detailed reports with analysis of past incidents.

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