Job Summary
We’re looking for a Mid-level Ruby on Rails Engineer to join our fully-remote team to help us enhance the quality of our software products by collaborating with the success and engineering teams to identify, document, and resolve quality issues as quickly as possible. This is an opportunity to join on the ground floor of a bootstrapped, growing company with a lot of upside.
- Minimum Qualification:Degree
- Experience Level:Entry level
- Experience Length:2 years
Job Description/Requirements
Expectations for your first 90 days:
- Develop a standard ticket template and ensure that all new on-call tickets submitted to the on-call rotation contain sufficient information for the engineering team to resolve them.
- Perform quality assurance on every customer-facing engineering project prior to its launch, reporting any bugs and UX issues discovered to the project’s engineers.
- Become capable of independently resolving common tickets that require code changes, including lead parser updates and spam blocklist updates
Expectations for your first 6 months:
- Become the success team’s primary point of contact in the engineering team for customer complaints, resolving as many questions and customer complaints as possible without filing on-call tickets or escalating to on-call engineers.
- Pitch projects in our betting table cycle that would reduce on-call ticket volume or time to close common tickets
- Improve and maintain internal documentation on existing and upcoming features, including common issues and how to resolve them. Make this documentation user-facing when possible.
A day in the life of…
- Triage incoming complaints and bug reports
- Own the testing process for upcoming features
- Document features and how to resolve common issues
- Suggest UX or efficiency improvements
- Resolve lower-complexity support tickets and bugs
Qualifications
- 2+ years in a quality assurance or software engineering role
- Fluent spoken and written English at a professional level.
- Working hours must overlap with PST for at least 3 hours.
- Strong analytical and debugging skills
- Strong communication skills, able to recommend decisions using data and experience
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