Test Engineer, Research, Fitbit
Google
Bucharest, Romania
1 zi în urmă

The Fitbit Research team is a cross-functional team developing exciting sensors and experiences for consumer health applications.

Our projects span all aspects of research and technology development in areas of hardware, data science, and algorithm development.

As part of the Fitbit Research team, you will help the team build internal tools and infrastructure for automated testing, research data collections, and validations.

Fitbit’s diverse line of innovative products of smartwatches, trackers and smart scale help people lead healthier, more active lives by empowering them with data, inspiration and guidance to reach their health and fitness goals.

Our products deliver personalized experiences, insights and guidance through leading software and interactive tools to support our users’ health and wellness.

Partnering with Google will expand our resources and global platform, and we will be able to accelerate innovation in the wearables category to scale faster, and make health even more accessible to everyone.

Responsibilities

  • Help create test strategy and test planning with developer teams including backend, mobile development, and research scientists.
  • Enable test automation and build internal testing tools and infrastructure.
  • Help automate research data collections and evaluations.
  • Analyze existing test data and create reports and dashboards.
  • Manage release planning and release execution.
  • Minimum qualifications :

  • Bachelor's degree in Computer Science, Computer Engineering, a related technical field, or equivalent practical experience.
  • Experience in developing test automation solutions in Python or Java and automated internal frameworks.
  • Experience with testing.
  • Experience with test methodologies, writing test plans, creating test cases, and debugging.
  • Preferred qualifications :

  • Experience testing and deploying software with credentialing and access controls.
  • Experience with real time data pipeline architectures.
  • Experience developing tools to automate research data collections and validations.
  • Experience with test data analytics and reporting.
  • Experience of working in projects with cross-functional teams including non-technical teams.
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