[Hiring] Staff Engineer @Zyte

Role Description

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.

What You’ll Do

• Architect the control and context planes.
• Advance the control plane (service registry, schema registry, SLO enforcement, CLI tooling) into a robust production substrate.
• Design and build the context plane to aggregate operational signals—such as domain extraction histories, IP reputation scores, and BigQuery cost/performance telemetry—creating automated feedback loops between intent, execution, and self-healing maintenance.
• Own the service chassis and golden path.
• Maintain and refine multi-language client libraries (Java and Python), standardized workload specifications, Helm charts, and deployment pipelines, driving seamless adoption across all product teams.
• Define inter-service contracts.
• Establish gRPC and Protocol Buffer definitions, API gateway transcoding, versioning policies, and schema evolution rules to enable autonomous, safe deployments across teams.
• Operate the platform substrate.
• Partner with infrastructure engineers to run Kubernetes (across OCI, Hetzner, Servers.com, and GCP), Terraform, HAProxy/Nginx ingresses, Confluent Kafka, real-time event-billing pipelines, Valkey, and ongoing database modernizations (MySQL to PostgreSQL).
• Drive architectural strategy via RFDs.
• Lead Requests for Discussion (RFDs) on critical platform initiatives, including durable workflow orchestration (Temporal/DBOS), per-request gateway orchestration, multi-cluster routing, and automated failover.
• Institutionalize reliability engineering.
• Establish clear SLOs and error budgets for core capabilities, implementing health-aware traffic isolation and automated weighted canary deployments to eliminate manual release bottlenecks.
• Share production ownership.
• Participate in the shared infrastructure on-call rotation, lead incident post-mortems, and translate operational lessons into platform improvements.
• Elevate engineering standards.
• Mentor engineers across squads on distributed systems design, review system proposals, and establish intuitive best practices that make building reliable software effortless.

Qualifications

• 10+ years of experience building scalable distributed backend systems, with a proven track record of authoring internal platforms or core libraries widely adopted by engineering teams.
• Expertise in Java (using reactive frameworks like Vert.x or Netty) alongside strong proficiency in Python.
• Deep gRPC & Protobuf experience, with demonstrated success managing schema evolution and backward compatibility in mission-critical environments.
• Hands-on infrastructure expertise with production Kubernetes at scale, Terraform, and event streaming with Kafka.
• Feedback loop designer: Experience designing automated telemetry pipelines, materialized views, or feature stores that dynamically adapt system behavior based on production data.
• Reliability mindset: Proven success defining SLOs/SLIs, analyzing blast radius, and designing fault-tolerant systems built around rigorous service contracts.
• Technical leadership: Exceptional technical writing skills with the ability to articulate complex designs clearly and drive technical alignment across multi-functional teams.
• Async communication: Strong interpersonal and written communication skills tailored for a globally distributed, remote-first environment.
• Curious problem solver: Passionate about continuous learning and evaluating novel tools, architectures, and techniques.

Our Tech Stack

• Languages: Java 21, Python.
• Frameworks & Tools: Vert.x, Netty, gRPC and protobuf, Kubernetes, Helm, Terraform, CircleCI.
• Infrastructure: Multi-cloud (OCI, GCP) and data centres (Hetzner, Servers.com), blue/green deployments everywhere.
• Data & Messaging: Confluent Kafka, BigQuery, Valkey, MySQL (Postgres next), HBase, Google Pub/Sub.
• Monitoring & Observability: Prometheus, Grafana, Loki, OpenTelemetry.

Bonus Points

• Durable execution engines: Hands-on experience with Temporal, DBOS, or similar workflow platforms.
• MLOps: Experience in model serving, performance monitoring, and drift detection in production environments.
• Zero-trust networking & service meshes: Familiarity with SPIRE, mTLS, Cilium, Istio, or Envoy.
• Developer tooling: Track record of building CLIs, SDKs, or project generators adopted across an engineering organization.
• Web scraping & crawling experience: Familiarity with the technical challenges of large-scale web data extraction.
• Open source contributions: History of contributing to or maintaining open-source projects in distributed systems or data extraction.

Why Join Us?

• Impact at scale: Architect core infrastructure powering web-scale data pipelines for top-tier global enterprises.
• Autonomy and flexibility: Enjoy a genuine remote-first culture with flexible working hours and high organizational trust.
• Continuous innovation: Solve emerging, complex technical challenges as AI and web data extraction rapidly evolve.
• Global community: Collaborate with a passionate, diverse team of distributed systems engineers and data specialists across the world.