Senior Site Reliability Engineer — Cloud & Observability

Bedrock Robotics Inc; New York (NY); On-site; USD 120,000 - 165,000; Full time

Benefits offered by this job

Equal Opportunity Employer

Reasonable Accommodations

Job summary

Bedrock Robotics Inc. is seeking a passionate Site Reliability Engineer to own our cloud infrastructure, driving design, scalability, and reliability across AWS, GCP, and Azure.

You will champion production engineering with observability and resilient distributed systems, ensuring instrumentation before production. Join a team of veterans building autonomously deployed data pipelines powering ML and robotics.

Qualifications

• Experience building scalable, reliable cloud infrastructure.
• Ability to design and operate production-grade distributed systems.
• Strong observability skills with monitoring, logging, and tracing.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Security best practices in cloud environments.
• Ability to thrive in a fast-paced, high-growth environment.

Responsibilities

• Design, build, and operate highly scalable, reliable systems used by Bedrock engineering teams.
• Take 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 usage.

Skills

Reliability passion

Cloud & IaC Expertise

Containerization & Orchestration

Observability

Technical Foundations

Security Best Practices

Fast-Paced Environment

Tools

Terraform

Kubernetes

Datadog

Prometheus

Splunk

Job description

Bedrock Robotics Inc. is seeking a passionate Site Reliability Engineer to own our cloud infrastructure, driving design, scalability, and reliability across AWS, GCP, and Azure.

You will champion production engineering with observability and resilient distributed systems, ensuring instrumentation before production. Join a team of veterans building autonomously deployed data pipelines powering ML and robotics.