Senior Site Reliability Engineer — Cloud, Observability & Scale

Bedrock Robotics Inc.

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Bedrock Robotics is seeking a Site Reliability Engineer to own and scale our cloud infrastructure across AWS, GCP, and Azure. You will champion production engineering, observability, and resilient distributed systems to support data pipelines powering our robotics and ML teams.

Join a team of veterans delivering the first fully autonomous excavator deployments and helping to build a safer built world. You’ll design infrastructure, drive cost efficiency, and raise the bar for security and

Qualifications

  • Deep passion for building reliable, fault-tolerant distributed systems.
  • Strong proficiency in major cloud platforms (AWS, GCP, Azure) and IaC tools like Terraform.
  • Experience with container technologies and orchestration (Kubernetes).
  • Hands-on observability experience with tools such as Datadog, Prometheus, Splunk.
  • Solid understanding of distributed systems, networking, databases, and compute infrastructure.
  • Security best practices in cloud environments.
  • Ability to navigate a fast-paced, high-growth environment with ambiguity.

Responsibilities

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

Skills

Reliability
Cloud IaC
Kubernetes
Observability
Distributed Systems
Security Best Practices
Ambiguity Tolerance

Tools

Terraform
AWS
GCP
Azure
Datadog
Prometheus
Splunk

Job description

Bedrock Robotics is seeking a Site Reliability Engineer to own and scale our cloud infrastructure across AWS, GCP, and Azure. You will champion production engineering, observability, and resilient distributed systems to support data pipelines powering our robotics and ML teams.

Join a team of veterans delivering the first fully autonomous excavator deployments and helping to build a safer built world. You’ll design infrastructure, drive cost efficiency, and raise the bar for security and

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