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Full-Time

Devops Engineer

Posted on 6/25/2024

Bright Machines

Bright Machines

201-500 employees

Intelligent, software-defined manufacturing solutions

Industrial & Manufacturing
Data & Analytics
Robotics & Automation

Compensation Overview

$130k - $180kAnnually

Senior, Expert

San Francisco, CA, USA

Category
DevOps & Infrastructure
DevOps Engineering
Required Skills
Kubernetes
Microsoft Azure
Python
Docker
AWS
Terraform
Ansible
Development Operations (DevOps)
Linux/Unix
Requirements
  • 5+ years of experience in DevOps role
  • Proven track-record of building & maintaining Cloud Infrastructure for mission critical SaaS applications / services
  • Experience with CI/CD tools and GitOps methodologies
  • Experienced writing code in Python and Shell scripts on Linux
  • Expertise in public cloud platforms such as AWS, Azure, or Google Cloud
  • Strong experience with infrastructure as code tools (Terraform, CloudFormation, Ansible etc.)
  • Proficiency in Docker, Kubernetes & containerization tools
  • Experience with observability tools (Prometheus/Grafana)
Responsibilities
  • Be the champion of industry standard best-practices to establish a strong DevOps culture
  • Design, implement, and manage scalable, reliable, and secure infrastructure for running applications and automation systems
  • Automate infrastructure provisioning, configuration management, and deployment processes using tools like Terraform, Ansible, and Kubernetes
  • Develop and maintain CI/CD pipelines to ensure efficient and continuous delivery of software updates
  • Implement and manage logging, monitoring, and alerting systems, for troubleshooting and ensuring high availability & reliability of the services
  • Drive “shift-left & shift-right” on security. Ensure scans, compliance with the policies and best practices, including vulnerability management and incident response
  • Participate in on-call rotation for supporting the CI/CD pipelines

Bright Machines specializes in intelligent, software-defined manufacturing by incorporating advanced technologies such as computer vision, machine learning, 3D simulation, and adaptive robotics. This company enhances production flexibility and scalability, making it an excellent workplace for those interested in cutting-edge technology and automation solutions. Their approach not only meets the current manufacturing demands but also anticipates future challenges, positioning them as a leader in the industry.

Company Stage

N/A

Total Funding

$796M

Headquarters

San Francisco, California

Founded

2018

Growth & Insights
Headcount

6 month growth

-2%

1 year growth

-10%

2 year growth

-31%