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Senior DevOps Engineer - Up to 200k

Robotic LIDAR startup San Francisco, CA
  • Expired: 8 days ago. Applications are no longer accepted.

Job Description

We are looking for software and hardware engineers interested in working on the systems that underpin modern robotics: high performance sensors, localization, mapping, object detection, tracking and classification. We are looking for experienced DevOps engineers to drive efficiency improvements throughout our deep technology stack.

General Requirements:

  • 2+ years of experience with a major cloud provider (GCP, AWS, Azure)
  • 2+ years experience with Python development
  • 2+ years experience with Bash scripting in Linux environment
  • Communication and documentation skills
  • Strong attention to detail
  • Expertise with cloud services or technologies (Terraform, GCP Deployment Manager, AWS CloudFormation, GCP Stackdriver, ELK stack, AWS CloudWatch)
  • BS or MS in computer science or equivalent education

Responsibilities:

  • Design and implement solutions that broadly improve developer productivity and operation efficiency
  • Collaborate with engineers and researchers to deploy their work into production
  • Drive and implement DevOps best practices: CI/CD, automation, continuous testing, monitoring, alerting
  • Communicate clearly and effectively with team members across diverse disciplines
  • Mentor junior team members
  • Participate in on-call rotation

Preferred Skills:

  • Continuous integration using Jenkins
  • Containerization using Docker
  • Expertise with the following cloud services or technologies
  • GCP Kubernetes Engine, AWS ECS, Kubernetes
  • GCP Cloud SQL, AWS, RDS, SQL database
  • GCP Cloud Storage, AWS
  • Infrastructure automation using Ansible

Robotic LIDAR startup

We're developing advanced sensor hardware and vision algorithms for autonomous cars and drones. We're looking for software and hardware engineers interested in working on the systems that underpin modern robotics: high-performance sensors, localization, object detection, tracking, and classification. Our team is composed of engineers that wear many hats and enjoy building robots that cope with the messiness of the real world. All of us push code, some of us build hardware, and none of us wants to wait another decade for cars and drones to be driving themselves.

Address

San Francisco, CA
USA