> Markdown version of [/jobs/ext/3824431-site-reliability-engineer](https://www.wearedevelopers.com/jobs/ext/3824431-site-reliability-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Site Reliability Engineer - **Company:** Bedrock Robotics - **Location:** United States - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Cloud Computing, Computer Networks, Databases, Distributed Systems, Fault Tolerance, Machine Learning, Reliability Engineering, Prometheus, Datadog, Data Logging, Google Cloud, Cloud Platform System, Grafana, Reliability of Systems, Containerization, Kubernetes, Infrastructure Automation Frameworks, Terraform, Splunk, Data Pipelines - **Published:** October 18, 2026 - **Apply:** https://startup.jobs/cloud-staff-site-reliability-engineer-bedrock-robotics-inc-10505745 ## About the Role * Reliability Passion: A deep passion for building and maintaining reliable, fault-tolerant distributed systems. * Cloud & IaC Expertise: Strong proficiency in major cloud platforms (such as AWS, GCP, or Azure) and Infrastructure as Code (IaC) tools like Terraform. * Containerization & Orchestration: Proven experience with container technologies and orchestration platforms, particularly Kubernetes. * Observability: Hands-on experience with observability tools (e.g., Datadog, Prometheus, Splunk, …) and techniques. * Technical Foundations: Strong understanding of distributed systems, networking concepts, database technologies, and compute infrastructure. * Security Best Practices: Strong understanding and experience implementing security best practices in cloud environments. * Fast-Paced Environment: Ability to work in a fast-paced, high-growth environment, deal effectively with ambiguity, and take decisive ownership of challenging problems. ## Description We are seeking a passionate and experienced Site Reliability Engineer to take ownership of our cloud infrastructure, driving its design, scalability, and reliability. You are a champion of production engineering, observability and resilient distributed systems. You can't stand sending services to production without proper instrumentation. This role is central to scaling the infrastructure that powers our critical data pipelines, providing high leverage to our Machine Learning and Robotics engineering teams. If you thrive on solving complex production problems and building highly-scalable, robust systems, this is the role for you., * Cloud Infrastructure Ownership: Take full ownership of Bedrock's cloud infrastructure (AWS, GCP, Azure), ensuring best-in-class security, performance, and cost efficiency. * Observability Stack: Design, implement, and maintain Bedrock's end-to-end observability stack (including monitoring, logging, and tracing). * Production Excellence: Pave the road for production engineering by developing and implementing best practices for system reliability, security, on-call rotation, and effective incident response. * Performance & Cost Optimization: Continuously identify and implement improvements to enhance system performance and optimize cloud resource consumption.