Lead the technical strategy for quality engineering, automation, AI-driven testing, and quality metrics. Design scalable test solutions, resolve complex automation challenges, build reporting dashboards, identify quality risks, collaborate across engineering and product teams, and mentor QA professionals. The role requires advanced end-to-end and API automation expertise, strong Agile and CI/CD knowledge, and experience applying AI to testing workflows.
At Technosylva, we are redefining software quality benchmarks within the wildfire management sector. We are seeking a Staff QA Engineer to spearhead the technical vision of our Quality Engineering team and elevate our testing capabilities to the next level.
This leadership role extends beyond execution: you will define the technical direction for automation, drive the intensive integration of artificial intelligence into testing workflows, and serve as the organizational authority for quality metrics analysis.
RESPONSIBILITIES
Technical Leadership
- Automation Strategy: Define and evolve the technical automation strategy, resolving high-complexity challenges across pipelines, environments, and frameworks.
- Scalable Solutions: Design complex automation solutions
- Technical Reference: Act as the primary QA authority in architectural decisions, ensuring quality is integrated from the design phase.
- Cross-functional Collaboration: Partner with Development, Product, and Platform teams to dismantle silos and accelerate the delivery of value.
- Agile Participation: Contribute a critical and constructive quality perspective during Agile ceremonies.
AI-Driven Testing
- AI Adoption: Lead the intensive implementation of AI across the testing lifecycle, including automated test case generation and failure analysis.
- Research & Evaluation: Evaluate emerging AI tools and methodologies, transitioning prototypes into production environments.
Quality Metrics & Analytics
- Metrics Modeling: Design and evolve the organizational model for quality metrics, including coverage, defect escape rate, and flakiness.
- Actionable Insights: Translate data into strategic insights for Engineering, Product, and Management teams.
- Reporting Systems: Build dashboards that facilitate data-driven decisions regarding product health and team performance.
- Risk Identification: Proactively identify quality trends and potential risks before they impact client operations.
Mentoring & Culture
- Technical Mentorship: Guide the professional growth of the QA team and the adoption of industry best practices.
- Quality Culture: Cultivate a proactive environment where defect prevention is a standard habit.
REQUIRED EXPERIENCE
- 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.
BENEFITS
- 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
DISCLAIMER
Final compensation and benefits are determined based on a variety of factors, including location, experience, training, qualifications, and market conditions.
COMMITMENT TO INCLUSION
Technosylva is an equal opportunity employer. We are committed to creating an inclusive environment where diverse perspectives contribute to better solutions.
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