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Lead Quality Assurance Engineer (Roads Team)

Mapbox is the leading real-time location platform for a new generation of location-aware businesses. Mapbox is the only platform that equips organizations with the full set of tools to power the navigation of people, packages, and vehicles everywhere. More than 3.5 million registered developers have chosen Mapbox because of the platform’s flexibility, security and privacy compliance. Organizations use Mapbox applications, data, SDKs and APIs to create customized and immersive experiences that delight their customers. 

What We Do

Data is the foundation of everything we do at Mapbox. Our  team Roads processes terabytes of geospatial data daily to construct a comprehensive global road network for navigation, guidance, advanced driver assistance systems (ADAS), on-demand logistics, and more. The accuracy, consistency, and reliability of our data directly impact millions of users worldwide.

What You'll Do

We are Looking for a Senior Quality Assurance Engineer to lead and drive quality practices within the Roads team. This role is not just about testing, it's about establishing a strong QA culture, enforcing best practices, and ensuring the highest standards of data accuracy and reliability.

In this role, you will:

  • Lead the QA processes within the Roads team, defining quality standards and best practices.

  • Take ownership of data quality—identify weak spots in our pipelines, push for improvements, and drive accountability for data correctness.

  • Design and implement testing strategies to validate massive geospatial datasets and ensure they meet customer needs.

  • Automate testing where possible to improve efficiency and reliability.

  • Establish release criteria for data updates, ensuring that every data release is accurate, complete, and free of defects.

  • Actively find and break things—identify defects, anomalies, and misbehaviors in our data processing pipelines.

  • Advocate for quality at all levels, embedding QA best practices into development workflows.

What We Believe are Important Traits for This Role

  • 5+ years of Quality Assurance experience, ideally within large-scale data processing or geospatial fields.

  • Ability to design and implement effective and robust test strategies in alignment with industry best practices.

  • Knowledge of modern testing methodologies, tools and approaches.

  • Strong analytical skills, able to multitask and meet tight deadlines.

  • Ability to plan and perform release testing to ensure software quality and stability before deployment.

  • Good knowledge of SQL for analyzing and validating data outputs.

  • Basic ability to write scripts for test automation and data validation, with experience in Python (or another scripting language).

  • Experience with cloud infrastructure (AWS preferred) for testing and monitoring data pipelines.

  • Excellent communication skills in English.

Nice to Have Traits for This Role

  • Knowledge of test automation frameworks.

  • Experience with Docker.

What We Value

In addition to our core values, which are not unique to this position and are necessary for Mapbox leaders:

  • We value high-performing creative individuals who dig into problems and opportunities.

  • We believe in individuals being their whole selves at work. We commit to this through supportive health care, parental leave, flexibility for the things that come up in life, and innovating on how we think about supporting our people.

  • We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company.

  • We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply.

By applying for this position, you acknowledge that you have received the Mapbox Non-US Privacy Notice for applicants, which is linked here.  Completing this application requires you to provide personal data, such as your name and contact information, which is mandatory for Mapbox to process your application. 

We are committed to a fair and equitable hiring process. We do not discriminate against any protected class.


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What You Should Know About Lead Quality Assurance Engineer (Roads Team), Mapbox

At Mapbox, we’re on a mission to revolutionize real-time location intelligence, and we need a Lead Quality Assurance Engineer for our Roads team to help us achieve that! If you’re passionate about quality and want to make a tangible impact on millions of users, this is the role for you. As the Lead Quality Assurance Engineer, you will be at the forefront of enhancing the quality of our geospatial data. Your mission will include designing robust testing strategies, establishing quality standards, and ensuring the highest level of accuracy in our data processes. This isn't just about testing; it's about creating a thriving QA culture within our team. You'll be a driving force in identifying areas for improvement, pushing for accountability, and automating testing where appropriate to boost efficiency. Plus, your expertise will help shape our release criteria, ensuring data updates are as clean, complete, and defect-free as possible. At Mapbox, we believe that your analytical and communication skills are key assets as you collaborate with fellow engineers and advocate for quality throughout the development lifecycle. If you have over five years of Quality Assurance experience, especially with large-scale data or geospatial technologies, and enjoy working in a supportive, innovative environment, we'd love to hear from you! Joining Mapbox means being part of a vibrant team that values creativity, diversity, and learning while allowing you to be your best self at work.

Frequently Asked Questions (FAQs) for Lead Quality Assurance Engineer (Roads Team) Role at Mapbox
What are the main responsibilities of a Lead Quality Assurance Engineer at Mapbox?

At Mapbox, a Lead Quality Assurance Engineer is responsible for leading the QA processes within the Roads team. This includes defining quality standards, overseeing data quality, designing effective test strategies, and ensuring the highest levels of data accuracy and reliability in geospatial datasets.

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What qualifications do I need for the Lead Quality Assurance Engineer position at Mapbox?

To qualify for the Lead Quality Assurance Engineer role at Mapbox, candidates should have at least 5 years of QA experience, preferably in large-scale data processing or geospatial domains. Essential skills include designing test strategies, familiarity with modern testing tools, knowledge of SQL, and basic scripting abilities, preferably in Python.

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How does the Lead Quality Assurance Engineer role contribute to Mapbox's mission?

The Lead Quality Assurance Engineer role at Mapbox is crucial in ensuring the quality of our geospatial data, which directly impacts our navigation and guidance services. By establishing QA best practices and rigorous testing protocols, the engineer helps maintain the reliability and accuracy of our offerings, enhancing user experiences globally.

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What kind of testing strategies will I design as a Lead Quality Assurance Engineer at Mapbox?

In the role of Lead Quality Assurance Engineer at Mapbox, you will be responsible for designing and implementing testing strategies that validate complex geospatial datasets against defined quality standards, ensuring they meet customer needs and operational requirements.

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What is the team culture like for the Lead Quality Assurance Engineer at Mapbox?

The culture at Mapbox is supportive, innovative, and highly collaborative. As a Lead Quality Assurance Engineer, you'll be part of a team that values creativity and encourages learning and growth. This environment promotes diversity, inclusion, and the overall well-being of all employees.

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Common Interview Questions for Lead Quality Assurance Engineer (Roads Team)
Can you explain your experience with quality assurance in large-scale data environments?

In your response, highlight your previous roles that involved managing quality for extensive datasets. Discuss specific tools and methodologies you employed and how they contributed to ensuring data reliability and accuracy.

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How do you prioritize tasks when ensuring data quality?

Explain your approach to prioritizing task lists according to risk factors and deadlines. Discuss how you determine which processes need immediate attention and how you balance short-term fixes with long-term improvements.

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Describe a time you introduced a testing strategy that significantly improved data quality.

Share a specific instance where you identified a gap in testing processes and implemented a new strategy. Focus on the challenges faced, the implemented changes, and the measurable outcomes achieved as a result.

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What tools and frameworks have you used for test automation?

List the tools and frameworks you've worked with, offering insights into your experience with each. Discuss how these tools improved your testing processes and the overall efficiency of your QA efforts.

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How do you approach training team members on QA best practices?

Highlight your communication skills and methodologies you use for training. Discuss how you create materials or sessions that make learning accessible and engaging, and emphasize the importance of fostering a quality-centric culture.

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What strategies do you use to validate geospatial datasets?

Discuss specific techniques or methodologies you apply to validate geospatial datasets, including comparisons to known datasets, the use of visualization tools, or creating test cases that reflect realistic user scenarios.

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Can you give an example of how you've used SQL in your QA processes?

Share examples where you've utilized SQL for data validation or analysis. Mention specific queries or reports you've generated that informed your QA practices and decision-making.

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What characteristics do you believe are essential for someone in a Lead Quality Assurance Engineer role?

Discuss traits important for success in this role, such as strong analytical skills, attention to detail, effective communication, and the ability to work collaboratively while leading initiatives on quality.

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How do you advocate for quality throughout the development lifecycle?

Discuss specific strategies you employ to advocate for quality, such as regular engagement with developers, incorporating feedback loops, or developing a culture of shared ownership for quality among all team members.

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What experience do you have with cloud infrastructure in testing?

Highlight your familiarity with cloud platforms, such as AWS, discussing how you've utilized them for testing and monitoring. Provide examples of projects or scenarios in which cloud services were integral to your QA processes.

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Mapbox powers navigation for people, packages, and vehicles everywhere.

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DATE POSTED
March 29, 2025

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