Staff QA Engineer (Spain Only)

Technosylva, Inc.; León; Remote; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Health insurance

Flexible compensation plan

Annual bonus

Flexible working hours

Remote work options

Job summary

Technosylva, Inc. seeks a Staff QA Engineer to lead the Quality Engineering team and elevate testing capabilities. You will define automation direction, drive AI integration into testing workflows, and act as the quality metrics authority across the organization.

You will mentor teams, shape the quality culture, and collaborate with Development, Product, and Platform teams to accelerate value delivery. This senior role emphasizes architecture, processes, and cross-functional influence.

Qualifications

• 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.

Responsibilities

• 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 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.
• 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.
• 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.

Skills

Automation

AI testing

Playwright

Rest-assured

CI/CD

Agile Testing

DevOps

QA leadership

Data QA (Python/R)

Tools

Playwright

Rest-assured

Job description

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.