Production Engineer, Series B

About Our Client

We are in the business of shaping the future of work. Our mission is to make the future of communication more collaborative, accessible, and productive for all.

We are growing fast, last year we recorded a total of over 150 million meeting minutes, announced a $50 million Series B and we were included in Business Insider's 10 AI startups that raised the biggest Series A and B list. In addition, Adam Cheyer the cofounder of Siri, Larry Heck the cofounder of Cortana and Greg Holmes, the first head of sales at Zoom, joined us as advisors.

We are an equal opportunity employer. We proudly celebrate diversity and are dedicated to inclusivity.

The Opportunity

We are seeking a talented Engineer with extensive distributed system and automation knowledge who wants to be part of a team to build and operate large-scale systems that enables reliable and rapid deployment with effective monitoring and resilient operations. Overall, your high impact in this role will optimize production, reduce company costs, and affect the company’s bottom line.

Your Impact

• Automation! Capability! Performance! Scale!
• Help automate the continuous integration and testing processes to enable and scale
• Manage and maintain infrastructure
• Own, design and implement monitoring systems such as Prometheus and Grafana
• Optimize Linux systems for performance, reliability, and security
• Own configuration management process(es) and build product features as appropriate
• Investigate and dig into data to find the root of a problem and strategize with our engineers on solutions
• Participate in on-call rotation

We're looking for someone who

• Knowledge or experience in SRE, Production Engineering and/or DevOps
• Experience architecting, developing, and troubleshooting large scale systems
• Proficiency with one or more programming languages (i.e. Python, Golang)
• Understanding of data structures and Linux systems internals (e.g., filesystems, system calls) and administration
• Experience with CI/CD pipelines and infrastructure as code (i.e. Terraform, Ansible)
• You have a familiarity with AWS services (i.e. ECS, S3, ALB, VPC)
• You have knowledge in containers and orchestration using Kubernetes
• Experience building production quality cloud infrastructure that enables reliable and rapid deployment of large-scale systems with effective monitoring and resilient operations
• You thrive working in a fast paced, startup environment
• You have a proven track record taking on projects from inception to launch
• Bachelor's in Computer Science or Electrical Engineering (MS preferred)

Job Location: Hybrid 3 days a week in Mountain View, CA or fully remote in NYC and Boston.