Role Description We are seeking a problem-solving QA Automation/Software Development Engineer in Test (SDET) to join the tech team, with a primary focus on payroll integrations. This agile role revolves around improving software quality through coding. The engineer will be responsible for: - Testing integrations with external third parties - Building comprehensive integration tests - Developing mock services for APIs Collaboration is key, as this role works closely with the tech lead and product managers to define acceptance criteria and implement new test scenarios within a Docker and Jenkins-based QA infrastructure. Qualifications - 5+ years of software testing experience in an automated environment - Strong coding experience in Python (Strict core requirement) - Proven experience testing APIs and building integration tests with external/third-party systems - Hands-on experience building and maintaining mock services for APIs - Ability to write automated tests directly from acceptance criteria - Understanding of build automation, application deployment, and CI pipelines (Docker, Jenkins) - Experience with SQL databases and advanced RESTful APIs Requirements - Strong problem-solving abilities and a passion for learning new things - Enthusiasm for driving product quality through test automation Benefits - Monetary compensation - Year-end Bonus - IMSS, AFORE, INFONAVIT - Major Medical Expenses Insurance - Life Insurance - Funeral Expenses Coverage - TDU Membership - MediAccess - Health Check-Up Subsidy - Preferential rates for car insurance - Vacations - Official Mexican Holidays - Life Happens Days - Bereavement Leave - Civil Marriage Leave - English Classes - Certifications - Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS) - Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf) - Taquitos Rewards - Birthday Bonus - Work-from-home Bonus - Laptop Policy

• Own the technical onboarding experience for new customers • Lead hands-on enablement sessions to implement across test frameworks and CI/CD pipelines • Guide customers through initial use cases that align with their success criteria • Ensure customers reach meaningful value quickly and confidently • Drive sustained adoption across teams, projects, and workflows • Help customers expand test coverage, standardize best practices, and scale usage over time • Provide expert guidance on test automation strategy, visual testing, and quality maturity • Identify adoption gaps and proactively recommend technical improvements • Serve as the primary technical point of contact for assigned accounts • Troubleshoot and resolve complex technical challenges in coordination with Support team • Conduct technical health checks, architecture reviews, and optimization sessions • Lead root cause analysis for escalations and recurring issues • Proactively identify technical risks that could impact adoption, satisfaction, or renewal • Partner with CSMs to support renewals and expansions with strong technical validation • Advocate for customer needs by sharing product feedback, patterns, and gaps with Product and Engineering • Collaborate closely with Product, Engineering, Support, Sales, and Customer Success • Contribute to onboarding playbooks, best practices, and enablement materials • Help improve internal processes that scale technical customer success

Role Description Participate in the entire product testing process, including: - Requirements analysis - Test case design - Execution - Defect tracking Core Testing Tasks: - Perform functional testing, regression testing, and API testing to ensure product quality. Environment & Data Management: - Build and maintain testing environments - Manage test data - Submit and track bugs - Assist developers in locating and reproducing issues Process Optimization: - Familiarize yourself with R&D testing workflows - Learn and master the company’s business logic and internal testing protocols Qualifications - Proficient in at least one programming language (Python, Java, Go, or C++); capable of writing basic scripts and performing API testing. - Fluent in Mandarin & English - Solid understanding of R&D testing workflows and software testing theory (e.g., test design methodology, boundary value analysis, etc.). - Keen insight into system design and implementation; ability to provide constructive suggestions for product optimization and user experience. Requirements - Background in Finance or a strong interest in Web3 and Blockchain technologies. - Experience with automation and testing tools such as Selenium, Pytest, or Postman. Benefits - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us - Your long-term development is important to us. We offer internal job opportunities to help build your career path.

• AI-native SOC transformation • Analyze current SOC operating models, L1/L2 activities, escalation flows and response procedures. • Identify opportunities to automate, augment or redesign detection and response processes using AI automation and agentic workflows. • Translate analyst knowledge into structured, reusable and automatable workflows. • Define how AI agents can support alert triage, enrichment, investigation, prioritization and response. • Establish clear boundaries between autonomous actions, AI-assisted recommendations and human decision points. • Help organizations evolve from traditional SOC processes to AI-enabled security operations. • Detection & Response automation architecture • Define automation blueprints for common detection and response use cases. • Convert incident response playbooks into structured workflows. • Define decision trees, enrichment steps, evidence requirements and output formats. • Support the design of automated triage, false positive reduction and incident prioritization. • Create reusable patterns for investigation, containment, escalation and reporting. • Ensure automation is reliable, explainable and operationally useful for SOC teams. • Agentic security operations design • Define agent roles, responsibilities, permissions and execution boundaries. • Design human-in-the-loop models for sensitive or high-impact actions. • Define approval workflows, escalation paths and confidence thresholds. • Ensure agent recommendations are explainable, traceable and auditable. • Define logging and evidence requirements for AI-assisted decisions. • Identify and mitigate risks such as unsafe automation, hallucination, excessive permissions, prompt injection, data leakage or incorrect response actions. • Work with AI engineering teams to ensure agentic workflows are secure, controlled and aligned with security operations needs. • SIEM, SOAR and security tooling integration • Human-in-the-loop operating model • Continuous improvement and operational impactRelevant technology exposure