
201 - 500 employees
Founded 2015
💼 Consulting
📦 Logistics
📣 Marketing
💰 $3M Debt Financing on 2021-12
Consulting • Logistics • Marketing
Zyte is a company specialized in providing web data extraction solutions that are now powered by AI. They offer a range of products including the Zyte API, which handles ban management, AI scraping, and proxy solutions for seamless web data collection. Additionally, Zyte provides scalable cloud hosting for Scrapy spiders, enabling efficient management and automation of web scraping tasks. Zyte caters to a diverse set of industries, providing data for e-commerce, news, AI, job postings, real estate, and more, while emphasizing legal compliance in their operations. With a focus on streamlined and cost-effective data extraction services, Zyte supports businesses in accelerating their data projects and enhancing data-driven decision-making.
🔥 0 minutes ago
BigQuery
Google Cloud Platform
Grafana
GRPC
HBase
Java
Kafka
Kubernetes
MySQL
Postgres
Prometheus
Python
Terraform
Improve your chances of getting an interview by checking your resume score before you apply.

201 - 500 employees
Founded 2015
💼 Consulting
📦 Logistics
📣 Marketing
💰 $3M Debt Financing on 2021-12
Consulting • Logistics • Marketing
Zyte is a company specialized in providing web data extraction solutions that are now powered by AI. They offer a range of products including the Zyte API, which handles ban management, AI scraping, and proxy solutions for seamless web data collection. Additionally, Zyte provides scalable cloud hosting for Scrapy spiders, enabling efficient management and automation of web scraping tasks. Zyte caters to a diverse set of industries, providing data for e-commerce, news, AI, job postings, real estate, and more, while emphasizing legal compliance in their operations. With a focus on streamlined and cost-effective data extraction services, Zyte supports businesses in accelerating their data projects and enhancing data-driven decision-making.
• Architect and advance the control plane, including service registry, schema registry, SLO enforcement, and CLI tooling • Design and build the context plane to aggregate operational signals and create automated feedback loops for self-healing maintenance • Own the multi-language service chassis and golden path, including Java and Python client libraries, workload specifications, Helm charts, and deployment pipelines • Define gRPC and Protocol Buffer inter-service contracts, API gateway transcoding, versioning policies, and schema evolution rules • Operate the platform substrate across Kubernetes, Terraform, ingress infrastructure, Kafka, billing pipelines, Valkey, and database modernization initiatives • Lead Requests for Discussion on workflow orchestration, gateway orchestration, multi-cluster routing, and automated failover • Establish SLOs and error budgets, health-aware traffic isolation, and automated weighted canary deployments • Participate in shared infrastructure on-call rotation and lead incident post-mortems • Mentor engineers across squads, review system proposals, and establish engineering best practices • Serve as technical lead for the Core & MLOps squad and influence architecture and release velocity across five neighboring squads
• 10+ years of experience building scalable distributed backend systems • Proven track record of authoring internal platforms or core libraries widely adopted by engineering teams • Expertise in Java, using reactive frameworks such as Vert.x or Netty • Strong proficiency in Python • Deep gRPC and Protocol Buffers experience • Experience managing schema evolution and backward compatibility in mission-critical environments • Hands-on production Kubernetes expertise at scale • Experience with Terraform and event streaming with Kafka • Experience designing automated telemetry pipelines, materialized views, or feature stores that dynamically adapt system behavior based on production data • Proven success defining SLOs/SLIs, analyzing blast radius, and designing fault-tolerant systems built around rigorous service contracts • Exceptional technical writing skills • Strong interpersonal and written communication skills for a globally distributed, remote-first environment • Experience with Java 21, Helm, CircleCI, OCI, GCP, Hetzner, Servers.com, Confluent Kafka, BigQuery, Valkey, MySQL/PostgreSQL, HBase, Google Pub/Sub, Prometheus, Grafana, Loki, and OpenTelemetry • Bonus: experience with Temporal, DBOS, model serving, performance monitoring, drift detection, SPIRE, mTLS, Cilium, Istio, Envoy, CLIs, SDKs, project generators, web scraping/crawling, or open-source contributions
• Freedom and flexibility to work from where you do your best work • Flexible working hours • Attend conferences and meet with team members from across the globe • Work with cutting-edge open source technologies and tools • Remote-first culture • Continuous innovation and complex technical challenges • Global community and collaboration with distributed systems engineers and data specialists across the world
Apply Now🕒 Yesterday
Principal Generalist Engineer building reliable, scalable payment and financial technology systems for Moniepoint. Owning software, infrastructure, data, and ML systems end to end.
Distributed Systems
Java
Kubernetes
Linux
Python
Rust
SQL
Go
🕒 September 10
Staff Software Engineer scaling CDN and edge infrastructure handling massive web traffic. Leading architecture, rollouts, observability, and performance optimization for a global e-commerce platform.
Amazon Redshift
AWS
Azure
Cloud
Google Cloud Platform
JavaScript
Postgres
Python
SQL
TypeScript
🕒 July 28
Staff Engineer leading backend platform architecture and development for Rain, the AI Financial Health Platform. Collaborate with international teams to build fintech products and optimize user financial life.
AWS
Azure
Cloud
Distributed Systems
Docker
Google Cloud Platform
Kafka
Kubernetes
NoSQL
Python
RabbitMQ
SQL
Go
🕒 July 15
Staff Software Engineer at Block Labs focusing on developing distributed, transactional backend platforms in Go. Collaborating closely with product, engineering, and QA teams.
Go
🕒 June 15
Staff Software Engineer leading the architecture and development of security capabilities at Datadog. Focusing on Linux instrumentation and runtime security technologies for cloud-native workloads.
Linux