• Build, maintain, and improve the end-to-end test automation framework, with Playwright as the primary toolchain across UI, API, and integration layers. • Author and maintain release validation documentation, in support of 21 CFR Part 11 and GxP compliance. • Evaluate and apply AI-assisted testing techniques, such as LLM-based test generation and intelligent failure triage, to extend coverage and reduce toil. • Integrate and maintain quality gates across CI/CD pipelines, balancing speed with the rigor required for a regulated environment. • Partner with engineers during active development to shift quality left — writing tests alongside features and surfacing risk early. • Contribute to QA process improvements and share knowledge with teammates; you're a resource others lean on without being responsible for managing them.

• Develop automated QA processes for server/client-based applications • Document and maintain QA processes and test matrices • Develop and implement testing plans for new features • Implement and integrate regression tests into automated environments • Define acceptance criteria for developed artifacts • Coordinate QA tasks with other teams • Promote a culture of quality throughout the organization

Role Description Transform security operations for the AI era. We are looking for a senior cybersecurity professional to help redesign how modern Security Operations Centers detect, investigate and respond to threats by combining Detection & Response expertise, security automation, AI automation and agentic AI capabilities. The role will focus on turning traditional SOC processes into intelligent, controlled and scalable workflows, where AI agents can assist analysts, automate repetitive tasks, enrich investigations, recommend actions and accelerate response while maintaining human oversight, auditability and security control. This is a hands-on architecture role at the intersection of SecOps, SIEM/SOAR, Detection Engineering, Incident Response and AI-native automation. The ideal candidate will help organizations move from manual, ticket-driven security operations toward a new operating model where analysts, automation and AI agents work together to increase speed, consistency and resilience. What will you do? - Analyze current SOC processes (L1/L2 workflows, alert triage, escalation paths). - Identify opportunities to automate and improve detection & response. - Convert manual playbooks into structured, automated workflows. - Design how AI agents assist analysts in triage, investigation and response. - Define decision trees, enrichment logic and automation patterns. - Establish clear boundaries between automation, AI and human decisions. - Design human-in-the-loop models for critical actions. - Ensure all automation is secure, explainable and auditable. What makes this role unique? - Work at the intersection of Security Operations (SecOps). - Detection & Response. - SIEM / SOAR automation. - Incident Response. - AI-driven security operations (Agentic AI). Qualifications - 6+ years of experience in cybersecurity (SOC, SecOps, Detection & Response, etc.). - Strong background in security automation, SIEM or SOAR. - Experience designing or improving detection use cases and incident response workflows. - Hands-on experience working with SOC environments (L1, L2, L3). - Ability to translate analyst knowledge into automation and workflows. - Understanding of incident lifecycle, enrichment and escalation processes. - Experience working with technical teams and business stakeholders. - Practical mindset: ability to design solutions that work in real environments. - Fluent in Spanish and English. Requirements - Experience with Microsoft Sentinel, Defender XDR or Security Copilot. - Experience in SOC automation / SOAR implementations. - Knowledge of detection engineering and MITRE ATT&CK. - Experience with KQL, SPL or similar query languages. - Exposure to AI-driven workflows or automation. - Experience in SOC transformation programs or MSSP environments. Benefits - Salary determined by the market and your experience 🤑. - Flexible schedule 35 Hours / Week 😎. - Fully remote work (optional) 🌍. - Flexible compensation (restaurant, transport, and childcare) ✌. - Fully free health insurance, with a co-payment for dental services 🚑. - Individual budget for training or equipment and free Microsoft certifications 📚. - English lessons 🗽. - Birthday day off 🌴🥳. - Monthly bonus for electricity and Internet expenses at home 💻. - Discount on gym plan and sports activities 🔝. - Plain Camp (annual team-building event) 🎪. - Extra perks: events attendance and speakers, welcome pack, baby basket, Christmas basket, discount portal for employees ➕. - The pleasure of always working with the latest technological tools! Company Description Plain Concepts is a global company of over 500 people passionate about technology and innovation. Since our founding, we have grown through technical proficiency and confidence in ideas that others might consider risky, creating custom solutions for our clients. With offices in more than 6 countries, our mission is to continue to drive cutting-edge projects around the world. We are highly committed to technical excellence. We are known for developing highly customized projects, offering specialized technical consultancy and training. Thanks to the great work of our technicians, we have been recognized for our ability to lead innovative projects that generate value, from artificial intelligence to blockchain, driving solutions that help companies optimize their performance.

• Plan, design, and execute manual and automated test cases to validate product functionality, performance, and security. • Perform functional, regression, smoke, and integration testing, ensuring coverage of positive, negative and edge cases. • Map test cases to business requirements and functional designs, ensuring complete traceability. • Document and report defects, verify bug fixes, and ensure timely resolution in collaboration with development teams. • Maintain a strong understanding of processes, system flows, and data requirements to validate overall system behavior. • Develop and maintain automation frameworks to enhance efficiency, maintainability, and scalability. • Implement automation scripts using Java and Selenium WebDriver, leveraging design patterns such as the Page Object Model. • Integrate automated tests into CI/CD pipelines and identify opportunities to optimize test execution within DevOps workflows. • Continuously evaluate and recommend new technologies, tools, or processes that improve QA effectiveness. • Partner with QA Lead, developers, and product managers to define acceptance criteria and clarify requirements. • Contribute to the definition and execution of the team’s quality assurance strategy and test plans. • Support the transition of existing manual test cases into automated suites where appropriate. • Evangelize quality assurance best practices within the engineering team.