Kratos Growth's client is hiring QA Automation Engineers (Remote)Join a rapidly growing AI consumer intelligence platform delivering insights for global brandsHiring Company Background Led by industry veterans from Unilever and Coca-Cola, our platform synthesizes massive-scale data (billions of Google searches, social conversations, product reviews, and videos) to deliver actionable consumer insights for Fortune 500 clients in days instead of months.Our clients include global leaders in beverages, personal care, and consumer packaged goods.With a newly appointed CTO building our engineering team, this is your opportunity to shape engineering standards, define AI architecture, and establish product strategy at a high-growth company, while working remotely from anywhere in the world as we scale in 2026 and beyond.This is your chance to shape how production AI is built at a high-growth company. Your impact will be immediate and visible. No legacy code politics, no entrenched hierarchies, no technical debt that you’re powerless to change.Your MissionWe are seeking a skilled QA Automation Engineer to join our data engineering team. You will be responsible for designing, developing, and maintaining automated testing frameworks that ensure the quality and reliability of our data pipelines, dashboards, and web applications.Our platform processes data from multiple sources, through Azure Databricks pipelines, and presents insights via dashboards embedded in ASP.NET and React web applications. You will play a critical role in validating data integrity across this entire flow and automating operational processes.This is a hands-on technical role requiring strong programming skills, database expertise, and a passion for building robust automation systems.Key ResponsibilitiesTest Automation Development• Design, develop, and maintain automated test frameworks using Python and pytest• Create end-to-end test suites for validating data pipelines from ingestion through visualization• Implement browser automation using Playwright for testing Power BI and React dashboards, ASP.NET, and React web applications• Build API test suites to validate data provider integrations and internal services• Develop data validation tests comparing Web and Azure Databricks outputs against Azure Databricks and SQL Server production databasesDashboard & Reporting Validation• Automate verification of Power BI/React dashboard KPIs against source data• Implement visual regression testing for dashboard layouts and components• Validate user-facing metrics in ASP.NET and React applications match database values• Test dashboard performance and load times under various conditionsProcess Automation• Automate repetitive operational tasks related to data pipeline management• Build scheduled jobs for recurring QA checks• Create self-healing automation that handles common failure scenarios• Develop monitoring scripts that proactively identify pipeline issuesCI/CD & Infrastructure• Integrate automated tests into CI/CD pipelines• Configure test environments and manage test data• Implement parallel test execution for faster feedback cycles• Maintain test reporting dashboards using Allure or similar toolsCollaboration & Documentation• Work closely with data engineers to understand pipeline logic and identify test scenarios• Collaborate with front-end developers on dashboard testing strategies• Create and maintain technical documentation for test frameworks and processes• Participate in code reviews and contribute to engineering best practices• Report defects through Jira with detailed reproduction steps and evidenceRequired QualificationsTechnical SkillsProgramming: 6+ years of Python development experience; clean, maintainable codeTest Automation: 4+ years building automated test frameworks; pytest expertiseSQL: SQL skills; experience with SQL Server and/or cloud data warehousesBrowser Automation: Expertise with PlaywrightAPI Testing: Proficiency in REST API testing and validationVersion Control: Git proficiency; branching strategies, pull requestsCI/CD: Experience integrating tests into CI/CD pipelinesDatabase & Data Skills• Understanding of data warehousing concepts and ETL/ELT processes• Experience validating data transformations and business logic• Familiarity with data quality dimensions (accuracy, completeness, timeliness, consistency)Web Technologies• Understanding of web application architecture (front-end/back-end)• Experience testing Single Page Applications (React)• Knowledge of HTML/CSS/JavaScript for element identification and validation• Familiarity with headless browser developer tools for debuggingSoft Skills• Strong analytical and problem-solving abilities• Attention to detail and commitment to quality• Excellent written and verbal communication• Ability to work independently and prioritize tasks• Proactive mindset; identifies issues before they reach productionPreferred QualificationsHighly Desirable• Experience with Azure Databricks or Apache Spark• Familiarity with Power BI or other BI tools• Knowledge of Azure cloud services (Functions, Data Factory, Key Vault, DevOps)• Experience with ASP.NET or .NET ecosystem• Background in data engineering or analyticsNice to Have• Experience with performance testing (Locust, k6, or similar)• Knowledge of containerization (Docker) for test environments• Familiarity with infrastructure-as-code (Terraform, ARM templates)• Experience with test management tools (Xray, Zephyr, TestRail)• Understanding of machine learning pipelines and model validation• ISTQB or similar QA certificationTechnical EnvironmentYou will work with the following technology stack:Processing: Azure Databricks (PySpark), Custom ML ModelsStorage: SQL Server, Azure Blob StorageVisualization: Power BI (embedded dashboards), Apache SupersetWeb Applications: ASP.NET (C#), React (JavaScript/TypeScript)Cloud Platform: Microsoft AzureAutomation Stack You Will Build & Maintain:Language: Python 3.11+Test Framework: pytestBrowser Automation: PlaywrightAPI Testing: httpx / requestsDatabase Clients: pyodbc, databricks-sql-connectorData Manipulation: pandasConfiguration: YAML + PydanticScheduling: Azure Functions / APSchedulerReporting: Allure, pytest-htmlSuccess MetricsYou will be measured on:Test Coverage: Automated tests cover critical data paths and dashboard KPIsDefect Detection: Bugs caught in automation before reaching productionPipeline Reliability: Reduction in data quality incidentsAutomation ROI: Manual testing hours saved through automationTest Stability: Low flaky test rate (<5%); high first-pass successExecution Speed: Test suite runs complete within CI time budgetsGrowth OpportunitiesThis role offers paths to:• Senior QA Automation Engineer – Lead automation architecture decisions• QA Lead – Manage QA team and strategy• SDET / Software Engineer in Test – Deeper integration with development• Data Quality Engineer – Specialize in data pipeline quality• DevOps/Platform Engineer – Focus on CI/CD and infrastructureWhat We Offer• Competitive salary and benefits package• Flexible remote and hybrid working arrangements• Professional development budget for training and certifications• Modern tech stack with latest tools and frameworks• Collaborative engineering culture with knowledge sharing• Opportunity to shape QA practices from the ground up• Work with interesting data from multiple industries