Member of Technical Staff, Reliability at Sieve
Sieve is hiring a Member of Technical Staff, Reliability in San Francisco, CA, US. On-site. Pay: USD 150k-300k/yr.
About Sieve
Sieve is a multimodal data company that provides curated video, audio, image, and interaction data for AI research and development. It sources, filters, indexes, annotates, and delivers training-ready datasets and evaluation sets, serving AI labs and companies. The company also describes itself as an AI research lab building multimodal datasets spanning video, audio, images, text, and 3D.
Member of Technical Staff, Reliability job description
About Us
Sieve is a multi-modal lab curating the world's highest-quality training datasets — spanning video, audio, images, text, and 3D. We combine exabyte-scale data infrastructure and novel multimodal understanding techniques that push the frontier of foundation models. Video alone makes up 80% of internet traffic, and across modalities, data has become the enabling medium powering creativity, communication, gaming, AR/VR, and robotics. Sieve exists to solve the biggest bottleneck in the growth of these applications: high-quality training data.
We partner with top AI labs and did $XXM last quarter alone, as a team of ~30 people. We also raised our Series A from Tier 1 firms such as Matrix Partners, Swift Ventures, Y Combinator, and AI Grant.
Why Now
Sieve is one of the most capital-efficient teams in AI — roughly 30 people serving the world's leading AI labs across every major data modality. You'll join early, own problems end-to-end, and watch your work ship directly into the models defining the frontier.
About the Role
We process petabytes of video across thousands of nodes and multiple cloud environments, and as we scale, reliability, observability, and security become existential. We're hiring our first engineer fully dedicated to Sieve's infrastructure foundation — a high-ownership role working directly with our CTO and founding engineers to build the core tooling that powers all of engineering. You'll design and validate the infrastructure behind PB-scale workloads, own incident response, harden systems against failure, and build the monitoring, security, and CI/CD tooling the whole team relies on.
This role is ideal for someone who thinks deeply about reliability, throughput, observability, and security — the kind of engineer who anticipates failure modes, eliminates operational risk, and designs systems that don't break. If something goes down, you take it personally, and you thrive in that level of responsibility.
Requirements
3+ years building internal infrastructure at scale
Experience on-call for Sev 0 / Sev 1 production incidents (L3 preferred)
Strong cloud experience (GCP, AWS, Oracle, Cloudflare, etc.)
Deep Infrastructure-as-Code experience (Terraform preferred)
Familiarity with Argo, Helm, Kustomize, or similar deployment tools
Experience operating observability systems (Prometheus, OTel, VictoriaMetrics)
Backend fundamentals in Python, Go, Rust, or C++
Strong networking + security intuition, including SSO implementation
In-person at our SF HQ
Bonus: Experience building lightweight internal tooling (APIs, dashboards, Svelte)
Bonus: Familiarity with object storage systems ("buckets")
Bonus: Active GitHub or portfolio projects
Benefits
401k + Full Health Insurance
Breakfast, Lunch, and Dinner covered and your choice of snacks
Ubers covered home
*all roles at Sieve require you to be onsite in San Francisco 5 days per week
