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Zyte API powers a suite of Java and Python microservices across multiple cloud providers and data centers. As a Staff Engineer, you will own both architectures—the control plane and the context plane—guiding the design, build, and operation of the systems that enable automated data extraction workflows.
You will lead in the Core API and MLOps squads, collaborating with Team Leads, Senior Engineers, DevOps, and QA to influence release velocity.
At Zyte, we don't just collect web data—we solve complex web data challenges at scale. We are a globally distributed team that is bold, curious, and dedicated to building innovative ways to deliver clean, reliable web data from across the internet.
At Zyte, we don't just collect web data—we solve complex web data challenges at scale. We are a globally distributed team that is bold, curious, and dedicated to building innovative ways to deliver clean, reliable web data from across the internet.
Zyte API powers a suite of Java and Python microservices running across multiple cloud providers and data centers. Every engineering team—spanning Core API, Browser, Edge, Antiban, AI, and Agentic products—relies on foundational infrastructure managed by our team: Kubernetes clusters, high‑throughput Kafka pipelines, billing engines processing per-request metrics, and robust inter‑service contracts.
We are evolving Zyte API into an automated software factory: a platform where developers and AI agents seamlessly create, validate, deploy, and maintain data extractors and workflows through governed interfaces. Two foundational layers drive this evolution. The control plane (service/schema registries, health‑aware routing, automated canary releases) is actively under deployment. The context plane, which synthesizes observational signals to guide automated repair and optimizations, represents our next major design effort. As a Staff Engineer, you will own both architectures, setting the engineering standard for how services at Zyte are designed, built, and operated. You will be the technical lead in the Core & MLOps squad, collaborating closely with the Team Lead, Senior Engineers, DevOps, and QA, while directly influencing the release velocity and architecture of five neighboring squads.