Define and evolve the technical automation strategy, resolving high-complexity challenges across pipelines, environments, and frameworks.
Design complex automation solutions.
Act as the primary QA authority in architectural decisions, ensuring quality is integrated from the design phase.
Partner with Development, Product, and Platform teams to dismantle silos and accelerate the delivery of value.
Contribute a critical and constructive quality perspective during Agile ceremonies.
Lead the intensive implementation of AI across the testing lifecycle, including automated test case generation and failure analysis.
Evaluate emerging AI tools and methodologies, transitioning prototypes into production environments.
Design and evolve the organizational model for quality metrics, including coverage, defect escape rate, and flakiness.
Translate data into strategic insights for Engineering, Product, and Management teams.
Build dashboards that facilitate data-driven decisions regarding product health and team performance.
Proactively identify quality trends and potential risks before they impact client operations.
Guide the professional growth of the QA team and the adoption of industry best practices.
Cultivate a proactive environment where defect prevention is a standard habit.

Minimum of 10 years of experience in Quality Assurance with a heavy focus on automation.
Proven record of resolving complex automation challenges in production (e.g., flakiness at scale, map/canvas-based testing).
Hands-on application of AI in testing, including log analysis and AI-assisted exploration.
Advanced proficiency in e2e and API automation frameworks such as Playwright, Rest-assured.
Ability to define and interpret quality metrics to build decision-oriented reporting systems.
Deep expertise in Agile Testing, DevOps, and CI/CD pipelines.
Mandatory English communication skills (C1 Level); international team experience is highly valued.
Demonstrated experience in mentoring and providing technical guidance to teams.
Background in .NET development is considered a significant advantage.
Experience in data QA (Python, R, Airflow) is a plus.

Competitive annual salary.
Health insurance and a flexible compensation plan so you can tailor part of your benefits to your needs.
Annual bonus based on individual performance and company results.
Flexible working hours.
Remote work options.

Technosylva

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