A globally distributed team enabling businesses to extract web data at scale, serving over 3,000 companies and 1 million developers since 2010.

Zyte, established in 2010, is a pioneer in web data extraction, serving over 3,000 companies and 1 million developers globally. With a distributed team of 250+ professionals across 28 countries, we're committed to democratizing access to web data.

As a Senior DevOps Engineer at Zyte, you'll join our Infrastructure Team, working with cutting-edge technologies like Kubernetes, Helm, Terraform, Prometheus, and Grafana. You'll be responsible for managing and scaling our infrastructure, which includes both cloud-hosted clusters and on-premises bare metal servers, with clusters exceeding 600 worker nodes.

The role demands expertise in automation, CI/CD pipelines, and large-scale infrastructure management. You'll be working with cloud platforms like GCP and OCI, implementing Infrastructure as Code, and ensuring robust monitoring and observability. Your responsibilities will include architecting Kubernetes clusters, developing automation solutions with Python, and optimizing system performance.

Open Source is fundamental to our culture, and we actively encourage contributions. We're looking for someone who combines technical expertise with a collaborative mindset, capable of handling complex challenges in a dynamic environment. This remote position offers the flexibility to work from anywhere while being part of a progressive, multicultural team that's reshaping the future of web data extraction.

Join us if you're passionate about DevOps, infrastructure automation, and want to make a significant impact in a company that's at the forefront of web data technology.

Senior DevOps Engineer position at Zyte, managing large-scale Kubernetes infrastructure and implementing automation solutions in a remote-first environment.

Senior DevOps Engineer

A globally distributed team enabling customers to extract web data at scale, serving over 3,000 companies and 1 million developers.

Zyte, a pioneer in web data extraction since 2010, is seeking a Senior DevOps Engineer to join their globally distributed team of over 250 professionals across 28 countries. The company provides essential data extraction tools and services to over 3,000 companies and 1 million developers worldwide.

As a DevOps Engineer, you'll be instrumental in building automation solutions that empower developers and drive business value. You'll join the Infrastructure Team, working with cutting-edge technologies like Kubernetes, Helm, Terraform, Prometheus, and Grafana. Your responsibilities will include managing and scaling clusters exceeding 600 worker nodes, spanning both cloud-hosted and on-premises bare metal servers.

The role combines technical expertise with innovation, as you'll be working with both cloud platforms (GCP, OCI) and on-premises infrastructure. Open Source is fundamental to Zyte's culture, and you'll have dedicated time for open-source contributions. The position offers the flexibility of remote work while being part of a progressive, multi-cultural team.

The ideal candidate should have extensive experience with Kubernetes, infrastructure as code, and automation tools. Strong Python scripting skills and proficiency in observability tools are essential. You'll be responsible for implementing and maintaining robust CI/CD pipelines, ensuring system reliability, and continuously improving infrastructure performance.

This is an excellent opportunity for a seasoned DevOps engineer who values autonomy, enjoys solving complex infrastructure challenges, and wants to contribute to a company that's making web data accessible to businesses worldwide.

Senior DevOps Engineer position at Zyte, managing large-scale Kubernetes clusters and infrastructure automation for a leading web data extraction company.

Zyte is an enterprise web scraping and data extraction solutions provider.

Zyte is seeking an Enterprise Solutions Engineer to join our remote team based in São Paulo, Brazil. This role combines technical expertise with customer-facing responsibilities, requiring strong problem-solving abilities and excellent communication skills. As an Enterprise Solutions Engineer, you'll work at the intersection of sales and engineering, helping enterprise clients implement and optimize their web scraping solutions.

The ideal candidate will have experience with backend development and a solid understanding of web technologies. You'll be responsible for understanding client requirements, providing technical consultations, and ensuring successful implementation of Zyte's solutions. This role requires both technical depth and the ability to communicate complex concepts to non-technical stakeholders.

Working remotely, you'll collaborate with cross-functional teams across different time zones, contributing to both pre-sales technical discussions and post-sales implementation support. The position offers the opportunity to work with cutting-edge web scraping technologies while solving real-world data extraction challenges for enterprise clients.

This is an excellent opportunity for a mid-level engineer looking to combine technical skills with client-facing responsibilities in a remote environment. You'll be part of a growing company that's established itself as a leader in the web scraping industry, working with a diverse portfolio of enterprise clients across various sectors.

The role offers the flexibility of remote work while being part of a global team that's pushing the boundaries of web data extraction. If you're passionate about technical problem-solving, enjoy working directly with clients, and want to be part of a company that's revolutionizing how businesses access web data, this position could be perfect for you.

Remote Enterprise Solutions Engineer position at Zyte, combining technical expertise with client-facing responsibilities in web scraping solutions.

Enterprise Solutions Engineer - Remote

Zyte is seeking a Python Developer to join their remote team, focusing on web scraping and backend development. The role requires strong Python programming skills and experience with web scraping technologies, particularly Scrapy. The position offers the flexibility of remote work and is ideal for developers who are passionate about data extraction and web technologies. The successful candidate will be part of a team working on enterprise-level web scraping solutions. This role combines technical expertise in Python with practical application in web data extraction, making it perfect for developers who want to specialize in this growing field. The position requires strong English communication skills and previous remote work experience, ensuring effective collaboration across distributed teams. Join Zyte to work on challenging projects in the data extraction space while enjoying the benefits of remote work.

Python Developer position at Zyte focusing on web scraping and backend development

Python Developer - Remote

A global leader in web data extraction, providing tools and services to collect, format, and deliver web data at scale since 2010.

Zyte, a pioneer in web data extraction since 2010, is seeking a Python Developer to join their globally distributed team of 240+ professionals across 28 countries. The company powers crawls of over 3 billion pages monthly, serving over 3,000 companies and 1 million developers worldwide.

As a Python Developer in the Delivery team, you'll be at the forefront of web crawler development using Scrapy, Zyte's flagship open-source project. This role combines technical expertise in Python development with distributed systems work, focusing on building and maintaining efficient web crawlers at scale.

The position offers an exciting opportunity to work with cutting-edge open source technologies while contributing to both proprietary and open-source projects. You'll be part of a company that values remote work culture, offering the freedom to work from anywhere while collaborating with a diverse, multi-cultural team.

The ideal candidate should have strong Python development skills, understanding of web technologies, and excellent communication abilities. This role is perfect for developers who are passionate about data extraction, open source contribution, and solving complex scalability challenges in a distributed environment.

Benefits include flexible remote work, global conference attendance, extensive paid holidays, and the chance to work with modern technologies while making a significant impact in the web data extraction industry.

Remote Python Developer position at Zyte, focusing on web crawler development using Scrapy and distributed systems, offering flexible work and global team collaboration.

Zyte is an enterprise software company providing solutions for businesses.

Zyte is seeking an Enterprise Solutions Engineer for a remote position based in São Paulo, Brazil. This role combines technical expertise with customer-facing responsibilities, requiring strong problem-solving abilities and communication skills. As an Enterprise Solutions Engineer, you'll work at the intersection of sales and technical implementation, helping enterprise clients leverage Zyte's solutions effectively. The position offers the flexibility of remote work while being part of a global team focused on enterprise software solutions.

Remote Enterprise Solutions Engineer position at Zyte, combining technical expertise with customer-facing responsibilities in São Paulo, Brazil.

Enterprise Solutions Engineer

A globally distributed team providing web data extraction tools and services, helping businesses collect, format, and deliver web data at scale.

Zyte (formerly Scrapinghub) is a leading provider of web data extraction solutions, serving over 2,000 companies and 1 million developers worldwide. With a distributed team of 190+ professionals across 28 countries, they're revolutionizing how businesses access web data.

The Enterprise Solutions Engineer role focuses on ensuring enterprise customers succeed with Zyte's SaaS products, particularly the Zyte API - their next-generation website access solution. This position bridges technical expertise with customer success, requiring both strong technical skills and excellent communication abilities.

As a Solutions Engineer, you'll work at the intersection of customer success and technical implementation, helping enterprise clients achieve their business goals through Zyte's platform. You'll be responsible for technical onboarding, monitoring usage, troubleshooting issues, and providing strategic recommendations for platform utilization.

The ideal candidate should have experience with web scraping technologies, strong programming skills in Python and JavaScript, and the ability to communicate complex technical concepts clearly. You'll be working with cutting-edge open-source technologies while enjoying the flexibility of remote work in a global, multicultural environment.

This role offers a unique opportunity to impact how businesses access and utilize web data, working with enterprise clients across various industries while contributing to the evolution of Zyte's platform and tools.

Remote Enterprise Solutions Engineer position at Zyte, helping enterprise clients succeed with web data extraction solutions through technical expertise and customer success.

A globally distributed company specializing in web data extraction tools and services, helping businesses collect, format, and deliver web data at scale.

Zyte, a pioneer in web data extraction since 2010, is seeking a Senior Python Engineer to join their globally distributed team of 240+ professionals across 28 countries. The company provides essential data extraction tools and services to over 3,000 companies and 1 million developers worldwide.

As a Backend Developer at Zyte, you'll be at the forefront of designing and developing robust backend systems that power their core platform. The role demands expertise in Python development, with a focus on building scalable, distributed applications that can handle high loads efficiently. You'll be working with modern technologies including async frameworks, containerization, and message queues like Kafka or RabbitMQ.

The ideal candidate brings 4+ years of experience in building scalable systems and strong Python expertise. You'll need to be comfortable with remote collaboration, as you'll be working with cross-functional teams across different time zones. The role offers the freedom to work from anywhere while contributing to cutting-edge open-source technologies that help businesses extract and utilize web data effectively.

This position is perfect for a senior engineer who values autonomy, enjoys solving complex distributed systems challenges, and wants to be part of a multicultural, progressive team. You'll have opportunities for professional growth through conference attendance and global team meetings, while working on technology that powers data-driven decision-making for thousands of organizations worldwide.

Senior Python Engineer position at Zyte, working remotely on scalable backend systems for web data extraction, requiring 4+ years of experience in building high-load systems.

Senior Python Engineer - Remote

Zyte empowers businesses to easily extract data for informed decision-making, with a global team of 240+ spanning 28+ countries.

At Zyte, we empower businesses to easily extract the data they need to make informed decisions. Founded in 2010, our global team of 240+ Zytans spans 28+ countries, all driven by the mission to simplify data extraction.

Open source is at the core of what we do. From our contributions to projects like Scrapy to the development of our own powerful tools such as Automatic Extraction and Zyte API, we're committed to fostering innovation in the web data extraction space. Today, more than 3,000 companies and 1 million developers trust our platform to drive smarter decisions and sustainable growth.

As a Senior Machine Learning Scientist at Zyte, your primary role is to drive the development and implementation of machine learning technologies that scale and optimize web data extraction. You will be working on cutting-edge projects that involve both research and production-level development. You'll innovate using machine learning models to automate data extraction and contribute to internal systems, improving the quality, efficiency, and performance of the Zyte platform.

Key Responsibilities:
- Lead the design, development, and deployment of machine learning models and algorithms for web data extraction and processing.
- Collaborate closely with domain experts, cross-functional teams, and stakeholders to identify data requirements, define hypotheses, and guide experimentation.
- Perform data collection, cleaning, preprocessing, and exploration to enable high-quality model training.
- Suggest and conduct experiments aimed at improving the accuracy and efficiency of existing models and systems.
- Implement machine learning model improvements in production, optimizing codebases, and enhancing tooling.
- Stay at the forefront of machine learning research, particularly in deep learning and large language models (LLMs), and apply innovative techniques to real-world problems.
- Provide mentorship and guidance to junior team members, promoting best practices in machine learning and software engineering.
- Contribute to the community through publications, talks, and open-source contributions.

At Zyte, you will be at the forefront of machine learning innovation, with the opportunity to solve complex challenges in web data extraction at scale. Join a dynamic, collaborative environment where your expertise will directly impact the success of our platform and our customers.

Senior Machine Learning Engineer at Zyte, driving innovation in web data extraction using cutting-edge ML technologies.

Senior Machine Learning Engineer

Zyte is a globally distributed team of over 240 employees working from over 28 countries, focused on extracting web data for businesses.

Zyte is seeking Software Engineers to join their Delivery team for web crawler development using Scrapy, their open-source project. The role involves designing, developing, and maintaining Scrapy web crawlers, leveraging the Zyte platform for distributed information extraction and data processing. Key responsibilities include identifying and resolving performance issues with distributed crawling at scale and helping debug and fix problems with open-source projects, including Scrapy.

Zyte, founded in 2010, is a leader in web data extraction, providing tools and services that help thousands of organizations make data-driven decisions. They process over 3 billion pages a month and serve over 3,000 companies and 1 million developers.

The ideal candidate should have:
- 3+ years of software development experience in Python
- Solid Python knowledge
- Familiarity with Linux/UNIX, HTTP, HTML, Javascript, and Networking
- Good communication skills in written and spoken English
- Availability to work full time

Bonus skills include Scrapy experience, familiarity with data crawling and processing tools, and proficient English.

Benefits include:
- Joining a self-motivated, progressive, multi-cultural team
- Freedom and flexibility to work remotely
- Opportunities to attend conferences and meet team members globally
- Working with cutting-edge open source technologies
- 35 days of paid holidays

Zyte offers a unique opportunity to work on large-scale web crawling projects while contributing to open-source development in a flexible, remote work environment.

Zyte is hiring a Python Developer for remote web crawler development using Scrapy, offering a flexible work environment and the chance to work on large-scale data extraction projects.

Zyte Engineering Jobs

A globally distributed team enabling businesses to extract web data at scale, serving over 3,000 companies and 1 million developers since 2010.