Moz is a leading SEO company that provides a comprehensive suite of software, tools, and methodologies for search engine optimization. Since its inception, Moz has become a trusted name in the SEO industry, offering products such as Moz Pro, Moz Local, and the Moz API. These tools help businesses enhance their online visibility, manage local SEO, track and analyze SEO metrics, and improve their overall digital marketing strategies. With robust features like keyword research, competitive analysis, rank tracking, and link building, Moz supports over 500,000 brands and agencies in achieving measurable SEO results and driving quality traffic. The company also offers educational resources through Moz Academy and the SEO Learning Center, helping users upskill in SEO practices. Moz is noted for its comprehensive data solutions, including proprietary metrics like Domain Authority and Spam Score, which aid in competitive SEO landscape analysis.
SEO • search engine optimization • tools • web application development • user experience
February 28
Moz is a leading SEO company that provides a comprehensive suite of software, tools, and methodologies for search engine optimization. Since its inception, Moz has become a trusted name in the SEO industry, offering products such as Moz Pro, Moz Local, and the Moz API. These tools help businesses enhance their online visibility, manage local SEO, track and analyze SEO metrics, and improve their overall digital marketing strategies. With robust features like keyword research, competitive analysis, rank tracking, and link building, Moz supports over 500,000 brands and agencies in achieving measurable SEO results and driving quality traffic. The company also offers educational resources through Moz Academy and the SEO Learning Center, helping users upskill in SEO practices. Moz is noted for its comprehensive data solutions, including proprietary metrics like Domain Authority and Spam Score, which aid in competitive SEO landscape analysis.
SEO • search engine optimization • tools • web application development • user experience
• Understand and embrace our core values: Transparency, Accountable, Generous, Fun, Empathetic and Exceptional. • Work with the team to plan, design, and deliver new functionality in our data collection services. • Through research and evaluation, improve and evolve our data collection systems to be more reliable, faster, and cost efficient. • Manage our environments in Amazon Web Services (AWS) and other systems, with a focus on both Infrastructure as Code (IaC) in Terraform and cluster management via a custom solution. • Work with the team to manage the operation of our data collection systems, ensuring that they are running smoothly at all times. • Participate in and collaborate to continuously improve our Scrum-based agile software development process. • This will include regular meetings and discussion for software design, development, and code review. • Participate in the documentation of our software, development process, production environments, and procedures. • Contribute to the team’s roadmap and ensure progress towards architectural excellence for our services as well as steady reduction in technical debt. • Provide mentorship for less experienced developers on the team and foster an environment for the team to write the best code they can.
• Experience working with data pipelines, especially systems that routinely handle petabyte-scale datasets e.g. Amazon EMR or Spark • Extensive experience with C++, or a similar language, i.e. object oriented, statically typed, and compiled • Proficiency with dynamic languages, particularly Ruby and Python • Experience in a Linux cloud environment, particularly AWS, or experience with comparable environments and a demonstrated ability to adapt quickly to new environments. • Time in a role with operational responsibilities, e.g., monitoring, instrumentation, operations, SDET, managing servers/containers, deployment • A solid understanding of computer science fundamentals, including strong algorithm skills and a deep appreciation for the complexity of large scale algorithms and Big O notation • Several years of experience working on products which apply complex algorithms to solve large scale data problems
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