• Liderar la evolución de las prácticas de aseguramiento de calidad mediante la construcción de soluciones automatizadas. • Promover una cultura de calidad dentro de los equipos de desarrollo. • Optimizar procesos a través de tecnologías modernas. • Diseñar y mantener frameworks de automatización escalables, reutilizables y alineados con la arquitectura de los productos. • Desarrollar soluciones de automatización que permitan incrementar la cobertura y reducir esfuerzos manuales. • Impulsar prácticas de calidad dentro de los equipos de desarrollo, promoviendo la incorporación de pruebas desde etapas tempranas del ciclo de construcción. • Participar activamente en procesos de mejora continua relacionados con testing, automatización y DevOps. • Incorporar nuevas herramientas, metodologías y capacidades basadas en inteligencia artificial para optimizar el proceso de aseguramiento de calidad.

Role Description We are seeking a QA Automation Tech Lead with a high-level engineering pedigree to spearhead the evolution of our quality infrastructure. In this pivotal role, you will serve as the technical authority for automation across the organization while acting as the QA Automation Engineer on our Platform Squad. Your mission is two-fold: - Building the foundational infrastructure that enables other squads to scale. - Pioneering AI-driven tooling that empowers our manual QA engineers to transition into automation seamlessly. This position is remote eligible for candidates who currently reside in Utah. What You’ll Do - Strategic Leadership & Platform Engineering - Architect & Innovate: Serve as the Lead IC for the Platform Squad, designing and scaling global automation infrastructure that other product squads consume. - AI Tooling Development: Build and deploy internal agentic AI tools and wrappers designed to lower the barrier to entry for manual QA engineers, enabling them to generate and maintain automated tests autonomously. - Technical Mentorship: Provide high-level guidance and code reviews for QA engineers across the company, establishing "Golden Paths" for automation excellence. - Framework & API Engineering - Next-Gen Frameworks: Overhaul and scale our Python/Pytest frameworks to support high-concurrency, multi-tenant environments and complex CI/CD integrations. - Infrastructure as Code: Work closely with DevOps to ensure testing environments are ephemeral, scalable, and integrated into the deployment pipeline via GitHub Actions. - Advanced API Validation: Move beyond standard assertions to build deep-level API validation suites and maintain centralized Postman collections for cross-team use. - Agile & Data Strategy - Data Engineering for QA: Craft complex SQL scripts and data generation utilities to simulate production-grade data across our testing environments. - Observability: Leverage Datadog and other monitoring tools to implement "Shift-Right" testing strategies, using production telemetry to inform automation priorities. Qualifications - Leadership Experience: 6+ years in QA Automation with at least 1-2 years in a Lead or Staff capacity, specifically influencing technical direction or managing large-scale projects. - Technical Mastery: Expert-level proficiency in Python. You should be comfortable building custom libraries, wrappers, and CLI tools from scratch. - UI Automation Craftsmanship: Hands-on experience with modern UI testing frameworks (e.g., Playwright, Cypress, or Selenium). You write stable, deterministic tests and treat maintainability and low flakiness as first-class engineering concerns. - AI/ML Enthusiast: Hands-on experience (or deep technical projects) involving LLM integration or agentic AI to solve engineering bottlenecks. - Database Depth: Strong ability to write complex SQL queries and understand relational database architecture. - Platform Mindset: Experience building infrastructure for other engineers. You understand that your "customers" are often the developers and QA peers in other squads. - Communication: The ability to translate complex technical requirements into actionable roadmaps for both technical and non-technical stakeholders. Bonus Points - Cloud Native: Deep experience with AWS (Lambda, RDS, S3) and containerization (Docker/Kubernetes). - DevOps Savvy: Experience building custom GitHub Actions or complex CI/CD workflows. - Data Pipelines: Familiarity with validating data warehouses (Snowflake/BigQuery) or ETL pipelines. - Open Source: Contributions to testing frameworks or AI-related open-source projects. Benefits - 🌴 Flexible Paid Time Off - you’re actually encouraged to use, plus 10 company holidays! - ❤️‍🩹 Health Benefits - including Medical, Dental, and Vision and an HSA Match. - 💰 401(k) - we match 100% up to 3% of your contribution. Eligibility is immediate with 100% vesting. - 🧠 Mental Health - all employees have access to Impact Suite & to our Employee Assistance Program (EAP). - 👶 Paid New Parent Leave & Birthing Parent Leave - so you’re able to care for your little ones. - ➕ Supplemental Benefits - including 100% company paid Basic Life & AD&D insurance and long & short-term disability coverage. - 🌟 Nectar - our peer-to-peer recognition program to help our employees recognize the amazing work being done by other Canopians! - 🥳 Company Events - including monthly company-wide meetings, summer parties, and more. - 💡 ERG Committees - to plan initiatives around continuing education, community outreach, recruiting, onboarding, and more. - ☕ Fully-stocked kitchen - Keto? Vegan? Flexitarian? Mandalorian? We’ve got you covered.

• Design and deploy production-grade Canvas/Model-Driven Apps, Power Pages, and complex Power Automate flows (Cloud & Desktop). • Architect scalable Dataverse data models and build custom API connectors to enterprise systems (SharePoint, Azure, Dynamics 365). • Drive Application Lifecycle Management using Azure DevOps or GitHub Actions, and enforce strict code quality and governance standards. • Partner directly with stakeholders to translate business needs into technical specs, demonstrate solutions, and iterate on feedback. • Implement Copilot Studio, AI Builder, or Azure OpenAI for clients eager to adopt AI-augmented workflows.

• Database Design : Design and maintain relational databases (PostgreSQL) for internal reporting and client projects • Pipeline Development : Build and operate ETL/ELT pipelines in Python to ingest data from diverse sources - APIs, SFTP, cloud exports, and third-party systems • Data Integration : Connect and integrate multiple data sources into unified data platforms (e.g., ERP systems, CRMs, accounting tools) • SQL Optimization : Write and optimize complex SQL queries for data transformation and reporting use cases • Dashboard Support : Support dashboard backends for Power BI and custom reporting tools • Finance Collaboration : Work closely with finance consultants to structure financial data and improve reporting efficiency