QA Lead

**About us**

Our mission is to help millions of people succeed in life, whatever that means for them, by providing the highest quality information in the smartest way so they can make the best-informed decisions possible. To do this, we’re looking for individuals to join a team where product quality means everything, where you’ll be given the opportunity to develop your best work, and where the fruits of your labor will be seen by millions of people each and every day.

**Join our Spanish team**

We’ve got people all over the world, but our new Spanish office is the heart of our tech operations. So, if you’re looking for a start-up, get stuck-in vibe, but with all the resources and firepower of a major scale-up, then look no further, this is the place for you Join us here and help shape the future of our tech operations There’s never been a better time to join the Spain team as we continue to grow, offering extensive opportunities for professional development.

**Our tech stack**

We are using the latest cutting-edge technologies, ensuring our team works on innovative and challenging projects: AWS, Javascript, Typescript, React, Python, Golang, Kubernetes, Terraform & PostgreSQL.

**About the team**

Hi My name is Tanya, and I am the team lead of the Factset team, which develops the infrastructure for delivering, storing, and distributing various financial data from providers to internal backend services.

Our team is responsible for:

- Collecting and aggregating information from company financial reports, interpreting and analyzing it, and calculating derived metrics and analytical indicators.
- Gathering and analyzing key macroeconomic indicators such as GDP, unemployment rates, and other important economic metrics.
- Integrating with various data providers.
- Integrating data with the platform to ensure users have access to up-to-date and reliable financial information. The data we process includes company financial reports, ETF reports, bond documentation, and macroeconomic indicators.

**Your mission**
- Implement automated testing following company standards, choosing the optimal approach.
- Review current testing processes and tools, proposing optimizations while adhering to company standards.
- Introduce necessary tools and processes that will be rolled out centrally, working closely with the QA Director.
- Take responsibility for the testing process, timelines, and results within the team.
- Establish and improve the process for data quality assurance in collaboration with analysts.
- Functionally manage the current QA team—review their work, support their growth (PDP, feedback sessions).
- Assess the rational use of QA team working time.
- Manage QA workload and task distribution.
- Develop and review test plans for major features.
- Automate tools for assessing and improving data quality.
- Define key product quality metrics and work on their improvement.
- Participate in discussions on new feature implementations to foresee potential challenges in testing and data quality.
- Oversee the release management process for the team.

**Required Skills**:

- Previous experience as a QA Lead or Senior QA for at least 2 years.
- Deep understanding of backend testing and integrations: experience with REST APIs, databases, asynchronous processes, and distributed systems.
- Hands-on experience in implementing automated testing
- Development and execution of automated tests, particularly regression testing.
- Integration of test automation into CI/CD pipelines (Jenkins, GitLab CI, ArgoCD, etc.).
- Testing process analysis and optimization.
- Conducting reviews of current testing processes and tools.
- Proposing improvements while maintaining company standards.
- Implementing necessary tools and processes in collaboration with the QA Director.
- Functional management of the QA team
- Reviewing the work of QA engineers and fostering their professional growth (PDP, feedback).
- Evaluating the efficiency of QA team workload distribution.
- Managing workload within the QA team.
- Ownership of the testing process, timelines, and results:

- Developing and reviewing test plans for major features.
- Ensuring data quality in collaboration with analysts.
- Establishing and improving data quality assurance processes.
- Strong soft skills: You will be responsible for onboarding new employees, mentoring existing QA engineers, and conducting interviews.
- Ability to manage and develop the QA team.
- Clear communication, ability to negotiate and justify decisions.
- Proactiveness, responsibility, and result-oriented mindset.
- Experience working in Agile/Scrum teams.
- Programming knowledge for automated testing (preferably Python).

**_
Nice to have:_**
- Experience working with data from external providers (financial data, market data aggregators, etc.).
- Experience with monitoring and logging tools (Grafana, Prometheus, Zabbix).
- Experience scaling testing processes (e.g., setting up test environments, parallel