Staff Software Engineer - Cloud Systems Architect - Remote

Posted 19 Days Ago
Be an Early Applicant
5 Locations
Remote
Mid level
Information Technology • Software • Database
The Role
The role involves designing and building scalable cloud systems with a focus on performance, user satisfaction, and product improvement. Candidates should have hands-on engineering skills and strategic leadership qualities to manage high-availability systems efficiently.
Summary Generated by Built In

Description
About Us

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 240 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

About the Job

This role combines hands-on engineering with strategic leadership, focusing on delivering key indicators responsible for user happiness and efficient business operation. The product you will be owning is a cost-efficient, highly scalable, high-availability system, responsible for hosting and running tens of thousands of jobs simultaneously. You are expected to be a product-focused engineer, ready to radically improve the product in an always changing environment.
We're looking for candidates who can design and build cloud systems, not just operate or maintain them.

About the Team

The Scrapy Cloud team, comprises developers, data engineers, and product managers focused on building a high-performance, scalable platform. We prioritize practical engineering and collaboration, fostering a culture of innovation and continuous improvement.

Requirements

The more items you check from the following list, the better the chance we are looking for each other: 

  • Experience in designing and executing experiments, ranging from load testing and performance testing, all the way to evaluate performance of hardware components and do some basic statistical analysis..
  • Understanding of the modern RDBMS architecture, concepts and troubleshooting strategies.
  • You are strong in either Java or Python, better yet, in both.
  • Fixing a broken build of a cross-language application should not be an issue for you. Finding your way around integrating CPython with C libraries and Java will definitely come handy.
  • If you know HBase and Mesos that’s a huge plus for us.
  • Proficiency in Linux internals, including namespaces, containerization options and their tradeoffs, process management, file and directory management, memory management is crucial.
  • Ability to benchmark and integrate commodity server hardware by both cloud and bare metal providers.
  • Good presentation and mentoring skills.

We're looking for candidates who can design and build cloud systems, not just operate or maintain them. This role is best suited for those who:

  • Have experience beyond using or managing Kubernetes/OpenShift and are comfortable designing cloud infrastructure.
  • Have worked with load testing, hardware profiling, or program benchmarking.
  • Have expertise beyond high-level web frameworks like Spring Boot, Django, Jersey, or Vert.x.
  • Have experience developing cloud solutions rather than primarily working as a solution architect for pre-built technologies.
Benefits

As a new Zytan, you will:

Become part of a self-motivated, progressive, multi-cultural team.

Have the freedom and flexibility to work from where you do your best work.

Work with cutting-edge open-source technologies and tools.

35 days paid holidays

Top Skills

Hbase
Java
Kubernetes
Mesos
Openshift
Python
Rdbms
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The Company
Cork
219 Employees
On-site Workplace
Year Founded: 2010

What We Do

At Zyte, we’re all about empowering data-driven organizations to ethically and accurately collect web data to power their business. With over 14 years experience and our early authorship and ongoing maintenance of Scrapy, we’ve shaped the web scraping industry from Day 1.

We help our clients…

- With easy-to-use ways to collect, format and deliver web data, quickly, dependably and at scale,
- Spend more time gleaning insights from highly accurate, business-critical data, and
- Spend less money on the total cost of ownership in web data extraction.

Zyte API abstracts away a historically disparate web data extraction tech stack into a single tool. Zyte API automates most anti-bot and proxy management, so developers can spend more time on strategy.

Zyte API is a full-stack solution that crawls, unblocks and extracts data in minutes with the power of AI. Developers skip the hassle of creating manual parsing code and extract public data at unlimited scale.

Zyte Data is an expert web data extraction team in your pocket. Our white glove service extracts any web data your business needs, regardless of project size and complexity. This includes a dedicated team and round-the-clock support.

Zyte’s legal team is our backbone and is made up of the leading minds in web data extraction compliance. They stay on top of the ever-changing and opaque laws that loom over the industry. They evaluate compliance risks and inform customers about best practices.

Zyte is certified by and a co-founder of the Ethical Web Data Collection Initiative (EWDCI) which recognizes web data providers operating with the highest level of ethical and legal standards.

Come work for us!

We encourage a flexible and diverse work environment, so we embraced the benefits of remote work from our very early beginnings. Our team includes over 200 employees in over 30 countries. All sharing the same drive, to do more with web data.

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