Design, implement, and operate infrastructure for high-scale production systems serving millions of users. Own reliability, observability, incident response, deployments, capacity planning, cost management, and operational excellence across bare-metal and cloud environments. Develop automation and performance tooling, improve production readiness, manage vendors, lead incident reviews, and mentor engineers on reliability and distributed-systems practices.
About Us
Bluesky's mission is to transition the social web from platforms to protocols. We're building a federated social network called AT Protocol where users have more power. Our small team has decades of combined experience building distributed applications.
About the Role
We're looking for a Staff Site Reliability Engineer to help design, implement, and operate the infrastructure that powers Bluesky and atproto. This is a hands-on role for someone who has operated high-scale production systems, understands how distributed systems fail, and wants to build the operational foundation for an open social network.
Key Responsibilities
- You'll work across bare-metal systems, cloud services, data infrastructure, observability, incident response, capacity planning, and reliability engineering for systems serving millions of users.
- Own reliability, availability, and operational excellence for our production systems, including observability, incident response, deployment, and rollback systems
- Improve production readiness for services, migrations, and infrastructure changes
- Develop software that pushes the state of the art in performance, automation, observability, and other areas
- Scale systems running on dense, latest-generation, bare-metal servers in our own colocation facilities
- Reduce toil through automation, tooling, and thoughtful engineering practices
- Partner with engineers across all our teams to help design services with strong operational characteristics
- Lead incident reviews and turn contributing factors into concrete engineering improvements as we practice continuous improvement
- Perform capacity planning and cost management across compute, storage, database, and networking workloads
- Manage various vendor relationships to ensure we can provide high quality services at a reasonable TCO
- Mentor engineers on reliability, operability, debugging, and distributed systems practices and help define a culture of operational excellence across the org
You might be a good fit if you
- Have +10 years experience operating high-scale production systems, including bare metal
- Have strong fundamentals in Linux, networking, storage, databases, and distributed systems
- Have built and operated high-scale systems where correctness, latency, throughput, and availability were critical
- Can write production-quality software in Go
- Are comfortable debugging across application code, operating systems, databases, networks, and hardware
- Have experience with observability systems, alert design, incident response, capacity planning, kubernetes, and production automation
- Like working on very small, fast-moving teams at a startup
- Have read the AT Protocol docs, feel aligned with the mission, and want to contribute!
We're a fully remote team, but an overlap of working hours with PST is required, as is willingness to travel to team meetups once every 3-4 months. Please note, there may be an on-site component to these interviews. We offer health, dental, and vision insurance.
Additional Notes
Equity will be considered in the total compensation package. The final base salary for this role will be based on the individual's geographic location, as well as experience level, skill set, training, licenses and certifications.
CompensationThe base pay range for this role is $210,000 – $250,000 per year.
Similar Jobs
AdTech
Build and maintain cloud-native infrastructure, automate manual operations, develop Terraform modules and Helm charts, manage Kubernetes and service mesh configurations, monitor GCP databases and services, improve observability, maintain CI/CD pipelines, and use AI coding agents to enhance infrastructure development. Collaborate with engineering teams on instrumentation, architecture, capacity planning, scalability, reliability, security, and developer experience.
Top Skills:
Amazon KinesisAWSAws LambdaAws SnsBigQueryClaude CodeCloudsqlCursorDatadogDockerGCPGitlabGoogle Cloud FunctionsGoogle Cloud RunGoogle Pub/SubGrafanaHelmIstioKafkaKubernetesMySQLPrometheusSpannerTerraform
Healthtech • Software
Staff Site Reliability Engineer responsible for setting infrastructure direction and owning availability, stability, scalability, observability, disaster recovery, and cloud costs for a SaaS platform. The role involves multi-cloud architecture, managed Kubernetes, infrastructure automation, GitOps delivery, incident response, business continuity, technical evaluations, platform migrations, and mentoring engineers. This is a fully remote U.S.-based position with an on-call rotation.
Top Skills:
Cloud ComputingGitopsInfrastructure As CodeKubernetesObservabilityScripting
Cloud • Security • Software • Cybersecurity • Automation
Build and operate reliable, scalable production infrastructure for GitLab’s user-facing services. Responsibilities include developing infrastructure automation and tooling, managing Kubernetes deployments, maintaining infrastructure as code, supporting CI/CD and GitOps, participating in on-call and incident response, improving observability and SLOs, troubleshooting production systems, and documenting operational practices. The role spans Intermediate through Senior Staff levels and requires strong software engineering, cloud, reliability, and asynchronous collaboration skills.
Top Skills:
AlertingAWSCi/CdGCPGitopsGoInfrastructure As CodeKubernetesLoggingMetricsRubySlisSlosTerraform
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine


_0.png)
