Cloud - Staff Site Reliability Engineer

The role

You will design, build, and operate highly scalable, reliable systems used by all Bedrock engineering teams. You will take ownership of cloud infrastructure across AWS, GCP, and Azure to support Machine Learning and Robotics engineering teams.

What you will do

• Design, build, and operate highly scalable, reliable systems used by all Bedrock engineering teams.
• Take full ownership of Bedrock’s cloud infrastructure (AWS, GCP, Azure).
• Design, implement, and maintain Bedrock’s end-to-end observability stack.
• Develop and implement best practices for system reliability, security, on-call rotation, and incident response.
• Identify and implement improvements to enhance system performance and optimize cloud resource consumption.

Required qualifications

• Deep passion for building and maintaining reliable, fault-tolerant distributed systems.
• Strong proficiency in major cloud platforms (such as AWS, GCP, or Azure) and Infrastructure as Code (IaC) tools like Terraform.
• Proven experience with container technologies and orchestration platforms, particularly Kubernetes.
• Hands-on experience with observability tools (e.g., Datadog, Prometheus, Splunk, …) and techniques.
• Strong understanding of distributed systems, networking concepts, database technologies, and compute infrastructure.
• Strong understanding and experience implementing security best practices in cloud environments.
• Ability to work in a fast-paced, high-growth environment, deal effectively with ambiguity, and take decisive ownership of challenging problems.

About the company

Bedrock retrofits heavy equipment like excavators to perform fully autonomous work on live commercial job sites. The company is using Series C funding to expand into new machine types and job-site tasks.