QA Lead
Argentina
Technology & Cloud – Quality Assurance /
Full Time /
Remote
Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices.
Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships.
We are seeking a hands-on QA Lead to introduce and mature a structured quality process for a BI application that aggregates sales and marketing metadata (e.g., Salesforce, Gong, Google Analytics, SalesLoft) to deliver actionable insights for high-velocity, early-stage companies. The product is live in production; you will lead the transition from an informal to a formal QA lifecycle, combining process leadership with practical manual and automated testing.
Role & Responsibilities:
- Define the QA strategy and own a living QA test plan aligned to the product roadmap.
- Develop and maintain a regression test plan and ensure consistent execution each release.
- Document clear, traceable test cases and keep test assets up to date as features evolve.
- Organize and schedule QA activities; leverage internal manual testing resources effectively.
- Perform manual testing for new features, regressions, and production validation when needed.
- Monitor Jira boards and transitions to plan, prioritize, and track QA work.
- Update, triage, and reassign Jira tickets; maintain high-quality bug reports and traceability.
- Establish quality gates and lead QA signoff before merging the QA branch into production.
- Build and maintain automated tests for UI, API, and data validations; increase coverage over time.
- Integrate automated tests into CI/CD pipelines and enable reporting on quality status.
- Collaborate daily with product, engineering, and US-based stakeholders on scope, design, and release criteria.
- Define and track QA metrics (e.g., defect leakage, pass rates, automation coverage) and drive continuous improvement.
- Contribute to test data management, including synthetic data for data-centric validations.
- Champion risk-based testing, release readiness reviews, and post-release retrospectives.
Hard Skills:
- Experience creating QA strategies, test plans, and regression suites for SaaS or data-driven products.
- Strong manual testing skills across UI, API, and data validations with solid defect management.
- Hands-on test automation experience for UI and APIs using tools such as Playwright, Cypress, or Selenium.
- Experience integrating automated tests into CI/CD and working with Git-based workflows.
- Proficiency with Jira or similar tools for planning, tracking, and reporting.
- Solid SQL skills and experience validating data transformations and reporting accuracy.
- Familiarity with BI or analytics products and data integration concepts..
It's a plus:
- Experience with synthetic data generation and data quality frameworks such as Great Expectations or dbt tests.
- Exposure to integrations with platforms like Salesforce, Gong, Google Analytics, or SalesLoft.
- Experience with CI/CD tools such as GitHub Actions, GitLab CI, or Jenkins and test reporting dashboards.
- Knowledge of API testing tools like Postman or REST Assured and contract testing practices.
- Performance and reliability testing exposure (e.g., JMeter, k6) and basic security testing practices.
- Background in multi-tenant SaaS, release management, and branching strategies for QA and production.
Soft Skills:
- Proven leadership with the ability to coach, prioritize, and drive accountability across teams.
- Excellent communication and stakeholder management; comfortable with US-based teams and fast-paced environments.
- Strong ownership, organization, and attention to detail with a continuous improvement mindset.
- Structured problem solving and high comfort with ambiguity while introducing new processes.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
