Engineer (Core & MLOps)

Zyte; United States; Remote; USD 150,000 - 190,000; Full time

Benefits offered by this job

Remote‑first culture

Flexible working hours

Global team collaboration

Job summary

Zyte ищет Staff Engineer для архитектуры и продвижения control и context плоскостей в глобальной распределенной команде. Вы будете отвечать за сервисную шасси, соглашения между сервисами, а также развитие инфраструктуры Kubernetes, Kafka и телеметрии.

Требуется более 10 лет опыта в распределённых системах, глубокие знания Java и Python, а также умение вести архитектурные обсуждения с несколькими командами. Работа удаленная по всему миру.

Qualifications

• 10+ лет опыта в создании масштабируемых распределённых бэкенд‑систем и разработке внутренних платформ
• Экспертиза в Java с использованием реактивных фреймворков и Python
• Глубокий опыт с gRPC & Protobuf и управлением схемами
• Опыт эксплуатации Kubernetes на проде, Terraform и Kafka
• Навыки проектирования автоматических телеметрических конвейеров и систем SLO/SLI
• Умение ясно документировать архитектуру и достигать согласования в кросс‑функциональных командах
• Коммуникационные навыки в глобальной распределенной среде
• Страсть к обучению и выбору новых инструментов и архитектур

Responsibilities

• Возглавлять архитектуру контрольной и контекстной плоскостей и развивать их в устойчивую производственную среду
• Определять межсервисные контракты, схемы и политики версии, обеспечивать безопасные развёртывания
• Поддерживать инфраструктуру Kubernetes, Terraform, Kafka, и инструментов мониторинга
• Руководить командой инженеров, проводить постмортемы инцидентов и внедрять улучшения
• Менторинг инженеров, стандарты кода и лучшие практики для нескольких squads

Skills

Java

Python

gRPC/Protobuf

Distributed systems

Kubernetes

Terraform

Kafka

CI/CD

SRE mindset

Telemetry

Tools

Kubernetes

Terraform

CircleCI

Confluent Kafka

BigQuery

PostgreSQL

gRPC

Protobuf

Job description

Задачи:

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. Become part of a self‑motivated, progressive, multi‑cultural team Have the freedom and flexibility to work from where you do your best work Attend conferences and meet with team members from across the globe Work with cutting‑edge open source technologies and tools.

Требования:

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.

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.

Условия:

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. Data is our passion: We unlock access to open web data, empowering organizations—from startups to global enterprises—to power competitive intelligence, analytics, and AI pipelines.

Remote‑first culture:

Work from anywhere in the world. With over 260 Zytans across 33 countries, our strength comes from diverse backgrounds, perspectives, and skills.

Engineering excellence:

We love diving deep into complex code bases, evaluating emerging technologies, and pushing technical boundaries.

Real‑world distributed systems challenges:

Tackle rare engineering problems in custom networking, high‑throughput streaming, and large‑scale orchestration under real‑world operational constraints.

Strong product ownership:

Work on a profitable, market‑leading platform with dedicated time and resources allocated for architectural research and strategic feature engineering.

Structure:

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.

Evolution:

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.

Staff Engineer responsibilities:

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.

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.

Call to join:

If you are a Staff Engineer excited by the prospect of building core platform substrates that empower multiple engineering teams, we would love to hear from you. Join us in shaping the control plane behind web data extraction at Zyte.