QA Automation.
San Carlos, Costa Rica
hace 1 día

Personality / Culture

  • Honesty and Openness Raises issues and provides strong evidence of the underlying problem.Provide potential solutions to the problem in addition to identifyingSpeak up when the overall direction or roadmap of QA may need to shift.
  • Releases that mistakes are for learning from and are not something to be afraid of.

  • Innovation and Drive Drive towards better / more efficient solutions.Solving problems others have not solved before.Being able to identify when to be innovative and when not to be innovative.
  • Learning and Problem Solving Needs to be comfortable working with tools they don’t have experience with.Know their limits but don’t be afraid to push them either by working on a problem or by asking for feedback after trying something.
  • Needs experiencing testing problems that they don’t have all the input parameters for.Should be able to identify areas that need further research before they can be developed or tested.

    Technical Skillset and Tools

  • Infrastructure : Working with a container orchestration platform (ex. kubernetes) is a bonus but may be required if they haven’t worked in a cloud environment of some kind.
  • Experience testing in a cloud environment (AWS preferred, GCP is a bonus)Experience managing and running a test environment.

    Working with and utilizing devops’ tools in some form is a large bonus, at least hearing of them or knowing a bit about them is a requirement.

    To be specific these are the tools we’re using : Terraform (similar : cloud formation)Ansible (similar : Chef, Salt Stack)VaultGitLab (similar : GitHub)GitLab’s CI / CD (similar : travis, code ship)

  • Preferred experience with a variety of the following QA / QE / SRE (Site Reliability Engineering) tools : PostmanSeleniumJMeter / WebLOADDataDog, Grafana, Prometheus
  • Preferred areas of experience in testing / SLDC integration : REST APIs including load and performance testing.Testing and measuring UI / UX of web interfaces.
  • Working in and testing containerized environments and microservices.Modeling, analyzing, and providing feedback on changes in QA related metrics (coverage, unit test flake, build flake, build times, deployment issues, etc.

    over time.Providing direct feedback into the development process based on the output of tests, integration suites, etc.

    High automation to manual testing ratio (preferably close to zero manual work in recent projects)Direct involvement in the whole SDLC process (pre-commit code review, build, deployment, post-outage analysis, etc)Bonus : security testing and validation (vulnerability scanning, checking for security headers in responses, etc)

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