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Own the reliability and observability of systems across cloud, edge, and on-site warehouse environments. Build monitoring systems and improve deployment workflows to ensure scalable and repeatable production performance.
Requires 3+ years of experience in SRE or distributed systems with strong Linux and networking fundamentals. Proficiency with Kubernetes, cloud platforms (GCP, AWS, or Azure), and observability tools is essential.
We’re looking for a Systems Reliability Engineer to own the reliability of our system across cloud, edge, and real-world environments. Our platform runs across distributed infrastructure—connecting cloud services, on-site compute, and live video/data pipelines inside warehouses. This role is responsible for making systems observable, diagnosable, and repeatable as we scale across deployments. You’ll work closely with engineering and deployment teams to ensure the system performs reliably in production—not just in ideal conditions.
Own reliability of systems across cloud (Kubernetes), edge compute, and on-site deployments
Build and maintain monitoring, alerting, and observability systems
Define and improve incident response, severity levels, and on-call processes
Improve deployment and bring-up workflows across facilities
Diagnose issues across infrastructure, networking, and distributed systems
Partner with engineering to identify root causes and prevent recurring issues
Improve system visibility, debugging, and operational tooling
Help make deployments repeatable and scalable across sites
3+ years of experience in SRE, infrastructure, or distributed systems
Strong Linux and networking fundamentals
Experience operating systems in production environments
Experience working with networking in constrained or distributed environments (e.g., VPNs, secure tunnels, on-site networking)
Experience with:
Kubernetes and containerized systems
Cloud platforms (GCP, AWS, or Azure)
Observability tools (Prometheus, Grafana, OpenTelemetry, etc.)
Ability to debug issues across multiple layers of the stack (infra → services → network)
Comfortable working in real-world, imperfect environments (not just clean cloud systems)
Strong ownership and ability to drive issues to resolution
Experience with multi-site or edge deployments
Experience with event-driven systems (Kafka or similar)
Familiarity with video or streaming systems (RTSP, WebRTC)
Experience working with hardware-integrated systems
Exposure to security/compliance frameworks (SOC2, ISO27001, etc.)
US citizen/ permanent resident
Located in SFBAY or NY area
We’re scaling from a small number of deployments to many, and this role is critical to making the following happen:
Systems that work outside ideal environments
Fast, reliable diagnosis and recovery when things break
Repeatable deployments across real-world facilities
We’re an equal opportunity employer that values diversity and inclusion. We welcome teammates of all backgrounds and don’t discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
At Claryo, we offer a competitive benefits package that supports your health and well-being, including — top-tier medical, dental, and vision coverage, 401k with employer matching, equity, parental leave, and unlimited vacation.
AI-Powered Warehouses
The leading provider of Spatial Generative AI, Claryo is a turnkey way to upgrade your entire warehouse ecosystem.
Offices: San Francisco, CA, US
Based on 3103 listings with disclosed salaries, most software jobs in San Francisco, CA pay between $140k–$290k per year. Individual offers vary with seniority, company size, and specialization.
There are currently 4,009 open software positions in San Francisco, CA listed on Clera. New openings are added daily as companies post roles.
Companies currently hiring include OpenAI, Anthropic, Salesforce, Harvey, Amazon, among others. Browse the listings above to see every active employer.
Yes — 2367 of the 4009 open software positions offer remote or hybrid work (562 remote, 1805 hybrid).
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