Senior Quality Assurance Analyst

Website BlueVector AI

BlueVector.AI is a Google Cloud focused business and technology consultancy delivering AI-powered solutions for Government and Healthcare

The Senior Quality Assurance (QA) Analyst will ensure the quality of solutions developed by BlueVector AI. This individual will be responsible for developing a broad variety of automated and manual QA test plans and procedures based on business and technical requirements. The Senior QA Analyst will conduct comprehensive testing activities to ensure that all deliverables meet the highest standards of quality as defined by these requirements. This senior role will also help define the long-term QA strategy for BlueVector AI’s solutions and client implementations.

Responsibilities
  • Have a “seat at the table” during project requirements gathering and sprint planning activities to ensure that QA best practices are integral to all solutions.
  • Design and build automated testing procedures based on project requirements.
  • Support company in best practices, templates, processes, and procedures for QA roles
  • Research and define how to effectively test the various AI technologies implemented in client environments which will require out-of-the-box thinking and networking with the Google Cloud community
  • Manage and mentor junior QA analysts
  • Ensure the quality of systems and technology released into the client production environment.
  • Plan and create testing documentation, and execute test cases against acceptance criteria. 
  • Validate and confirm that final quality assurance has been achieved using both manual processes and automated tools that are available in the BVAI environment.
  • Track and report quality assurance metrics such as defects, defect counts, test results and test status. 
  • Document all testing defects to the cloud consultants, project managers or developers. 
  • Support defect troubleshooting and resolution, including end-to-end integration testing. The QA will work closely with the cloud consultants, developers, and solution architects to address defects, support unit testing, and provide feedback on acceptance criteria,  ensuring final quality sign-off. 
  • Identify any data-related requirements for QA testing and communicate with the project team and Project Manager promptly to ensure that any data needs are covered to support the project timelines.  
  • Maintain and keep test data current with any changing client requirements during support engagements. 
  • Experience testing in and owning all quality assurance testing and related approvals inside an Agile framework. 
Qualifications
  • Proven experience as an SDET or Lead QA Analyst, particularly with building automated test frameworks for enterprise application development projects in government or healthcare sectors.
  • Strong analytical skills and attention to detail.
  • Proficiency in manual testing methodologies and automated. 
  • Familiarity with industry standards and best practices in QA.
  • Excellent problem-solving abilities and the capability to work in a team-oriented environment.
  • Effective communication skills, both written and verbal.
  • Experience with QA tools and sprint planning software such as JIRA, Asana
  • Ability to work within fixed timelines and budgets.
  • API testing experience 
  • GCP environment experience and Google product suite is a plus.
Physical Requirements

Eight hours plus per day: speaking on the telephone, entering and retrieving data from the computer, ability to lift a minimum of 25 pounds, sit, stand and walk for extended periods in the office or at external functions, and ability to travel.

Conditions of Employment

The position is an excepted appointment subject to a background investigation and drug screening.

  • Job Type: Full-time
  • Pay: $110,000 – $130,000 annually
Benefits
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Simple IRA Retirement plan
  • Unlimited Paid time off
  • Google Certification reimbursement
  • Stock Option Program
  • Other
Location
  • Denver, Colorado or remote in the US; 5% travel

To apply for this job email your details to mark.hardy@bluevector.ai