Senior QA Engineer

We are seeking a Senior QA Engineer to own end-to-end testing and quality assurance for our Industrial IoT (IIoT) device ecosystem. This role is responsible for validating every device touch point—from firmware behavior and device calibration through message processing, telemetry accuracy, and downstream data consumers (APIs, reports, integrations). You will design and execute QA strategies across device, cloud, and mobile surfaces to ensure reliable customer outcomes in real-world field deployments. You will embed testing into CI/CD pipelines (e.g., GitHub Actions or Azure DevOps Pipelines) and validate event-driven, asynchronous workflows (including Azure Service Bus Topics/Subscriptions and Queues). The validation scope spans system, integration, and data validation testing for applications and services built with Windows Forms/Services, Azure Functions, Azure Container Apps, Azure App Services, SQL Server, and Cosmos DB, ensuring telemetry data hierarchies and channels (MQTT, API, and sFTP-based exchanges) are correct, complete, and traceable end to end. Key responsibilities include: Own end-to-end QA of IIoT devices and supporting services, including firmware behavior, device calibration workflows, message processing, and telemetry accuracy. Integrate automated testing within CI/CD pipelines (GitHub Actions or Azure DevOps Pipelines), leveraging quality gates and clear failure reporting for faster developer feedback loops. Design test strategies for firmware, including test coverage planning, regression strategy, release validation gates, and traceability from requirements to results. Validate IoT telemetry ingestion pipelines and protocols (MQTT), including topic structures, payload schemas, timestamps, units, and data quality rules. Validate telemetry data hierarchies and channel delivery across the platform, including API-based extraction and sFTP-based data exchanges where applicable. Validate event-driven and asynchronous workflows, particularly Azure Service Bus (Topics/Subscriptions and Queues), including ordering, retries, dead-letter handling, idempotency, and replay scenarios. Perform system, integration, and data validation testing across applications and services built with Windows Forms/Services, Azure Functions, Azure Container Apps, Azure App Services, SQL Server, and Cosmos DB. Implement end-to-end quality strategies to verify the full data flow: IoT telemetry → data ingestion → processing → storage → reporting and/or API extraction. Lead performance and reliability testing (device-to-cloud and cloud-to-consumer), and validate observability (logging, metrics, tracing, alerting) to ensure issues are detectable and diagnosable. Partner with engineering team members by aligning acceptance criteria, testability, and defect prevention practices. Plan and execute mobile application validation (including automated testing where feasible) across UI/UX and backend flows, including MAUI-based apps Validate mobile Bluetooth (BLE) interactions with IIoT devices in field-like conditions, including pairing, reconnect behavior, range/interference considerations, and failure recovery. Demonstrated ability and willingness to use AI tools to improve productivity, decision-making, work quality, and to reduce costs. The successful candidate must be able to identify appropriate AI use cases and critically evaluate AI-generated outputs. Other duties as assigned. Qualifications: 7+ years of professional software testing & QA experience, with experience involving end to end platform testing Demonstrated experience with automated testing strategies using common tools like Playwright, Cypress, Selenium, or Puppeteer. Strong understanding of Black box testing, Load Testing, Observability and Performance/Reliability Excellent communication, problem-solving skills, and an ownership mindset Experience with basic queries using Microsoft SQL Server This position can be based out of the Atlanta, GA or Herndon, VA area. Preferred Qualifications: Experience with testing event-oriented architectures utilizing message broker systems such as Azure Service Bus, RabbitMQ, ActiveMQ, etc. Experience testing of and RESTful and SOAP based APIs. Knowledge of cloud services (preferably Azure). Experience with monitoring and logging tools such as Grafana, Prometheus, and Datadog. Prior work experience in IoT or adjacent industries. Relevant industry certifications. Education: Bachelor's degree in IT, Software Engineering, or related field Preferred Other Beneficial Skills: Azure DevOps or other DevOps methodologies experience. MAUI mobile framework and experience with mobile app development Understanding cloud infrastructure and deployment pipelines. #LI-WA1 #LI-HYBRID