
51 - 200 employees
Founded 1997
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
<Technosylva> is a provider of AI-driven wildfire and extreme weather risk mitigation software that delivers real-time forecasting, predictive simulations, and incident management tools for electric utilities, fire agencies, and insurers. Their cloud-based products (Wildfire Analyst, Tactical Analyst, fiResponse) offer situational awareness, operational decision support, and risk quantification to help customers plan, operate, and respond to wildfire and severe weather events.
đ June 25
đȘđž Spain â Remote
â° Full Time
đŽ Lead
đ§ QA Engineer (Quality Assurance)
đ» Ghost score 49%
Where this job comes from
Posted on Technosylva's careers page, not through a job board
First seen by Remote Rocketship June 25

51 - 200 employees
Founded 1997
đŒ Consulting
đ„ Healthcare
đŠ Logistics
Consulting âą Healthcare âą Logistics
<Technosylva> is a provider of AI-driven wildfire and extreme weather risk mitigation software that delivers real-time forecasting, predictive simulations, and incident management tools for electric utilities, fire agencies, and insurers. Their cloud-based products (Wildfire Analyst, Tactical Analyst, fiResponse) offer situational awareness, operational decision support, and risk quantification to help customers plan, operate, and respond to wildfire and severe weather events.
âą Define and evolve the technical automation strategy âą Resolve high-complexity challenges across pipelines, environments, and frameworks âą Design complex automation solutions âą Act as the primary QA authority in architectural decisions âą Ensure quality is integrated from the design phase âą Collaborate with Development, Product, and Platform teams âą Contribute a critical and constructive quality perspective during Agile ceremonies âą Lead intensive AI implementation across the testing lifecycle âą Drive automated test case generation and failure analysis âą Evaluate emerging AI tools and methodologies âą Transition AI prototypes into production environments âą Design and evolve the organizational model for quality metrics âą Translate quality data into strategic insights âą Build dashboards supporting data-driven decisions on product health and team performance âą Identify quality trends and potential risks before they impact client operations âą Mentor QA team members and guide professional growth âą Promote industry best practices and cultivate a proactive defect-prevention culture
âą Minimum of 10 years of experience in Quality Assurance with a heavy focus on automation âą Proven record of resolving complex automation challenges in production, including flakiness at scale and map/canvas-based testing âą Hands-on application of AI in testing, including log analysis and AI-assisted exploration âą Advanced proficiency in e2e and API automation frameworks such as Playwright and Rest-assured âą Ability to define and interpret quality metrics to build decision-oriented reporting systems âą Deep expertise in Agile Testing, DevOps, and CI/CD pipelines âą Mandatory English communication skills (C1 Level) âą International team experience highly valued âą Demonstrated experience in mentoring and providing technical guidance to teams âą Background in .NET development is a significant advantage âą Experience in data QA using Python, R, or Airflow is a plus
âą Competitive annual salary âą Health insurance âą Flexible compensation plan so you can tailor part of your benefits to your needs âą Annual bonus based on individual performance and company results âą Flexible working hours âą Remote work options
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