QA Manager – IoT SaaS; Automation Focus
Listed on 2025-11-21
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IT/Tech
Cloud Computing, IT QA Tester / Automation, Systems Analyst, Data Security
QA Manager – IoT SaaS (Automation Focus)
Nevada Nano is a leading Industrial Internet of Things (IIoT) company specializing in safety and climate solutions for many of the world’s largest corporations, with innovative multi-gas sensing products and continuous IoT monitoring systems based on our proprietary MPSTM sensor platform. Nevada Nano is a fabless system company whose solutions are used in multiple vertical applications in a served market exceeding $20B.
Nevada Nano currently serves four markets: flammable gases, refrigerant gases, fugitive emissions of methane (natural gas) blends, and military applications detecting explosives and chemical warfare agents. Future markets include air quality for Building Automation, Healthcare & Life Science, Home Safety and Automation, Industrial Safety and Public Safety. Just as digital cameras and the ability to digitize sound have transformed our ability to see and hear, NN’s technology platform digitizes and enhances the sense of smell for the Internet of Things.
As the QA Manager you will lead quality assurance for our next‑generation IIoT SaaS platform, with a strong emphasis on automation‑first testing. You will lead a growing team of QA engineers, define test strategies across cloud, UI and API layers, and play a key role in ensuring our products are reliable, scalable, and secure in the field. This is a strategic role responsible for setting up QA practices, driving automation‑first initiatives, and ensuring the quality of solutions that span edge devices, cloud services, and end‑user applications.
The right person would be considered a candidate to head up the QA group as it expands.
- Define and execute a comprehensive QA strategy aligned with product and business goals.
- Lead, mentor, and scale a cross‑functional QA team (automation, manual).
- Collaborate closely with product, development, Dev Ops, and customer success teams.
- Own the design and implementation of robust, scalable test automation frameworks for:
- Web & mobile UI testing
- API testing
- Back‑end application testing
- System‑level and integration testing
- Integrate automated testing into CI/CD pipelines using tools like Jenkins, Playwright, etc.
- Experience with testing platforms like Browser Stack, Katalon Studio, etc.
- Define quality KPIs and build dashboards for visibility (e.g., defect escape rate, test coverage, regression times).
- Ensure strong release readiness with regression, performance, security, and exploratory testing.
- Conduct root cause analysis and drive continuous improvement efforts.
- Drive technical governance in QA and compliance with security, performance, and scalability requirements.
- Contribute to compliance and operational resilience (SOC 2, ISO 27001, NIST, etc.).
- Oversee QA across the full IoT stack: telemetry → edge/gateways → cloud/backend → mobile/web interfaces.
- Lead testing of protocols such as Kafka, MQTT, etc.
- Manage device labs, hardware‑in‑loop setups, and real‑world scenario simulations.
- QA processes for multiple clouds, on‑prem and inside customer deployments.
- Integrations with LDAR, CMMS and other systems used in industry.
- Integrations with customers message buses like Kafka, MQTT, etc.
- Work cross‑functionally with QA, Dev Ops, and product teams to align QA processes and automation with product goals.
- Mentor QA team and contribute to high‑impact technical decisions.
- 10+ years in software QA, with 3–5+ years in a QA leadership/management role.
- Proven experience with test automation frameworks (Selenium, Cypress, Pytest, Appium, etc.).
- Strong knowledge of cloud platforms (OCI, AWS, Azure, or GCP) and CI/CD pipelines.
- Experience with Docker and Kubernetes.
- Hands‑on experience with IoT systems QA.
- Proficient in at least one programming/scripting language (Python, JS, etc.).
- Experience working in agile or Scrum environments.
- Background in oil & gas or energy sector (field operations, telemetry, control systems).
- Familiarity with time‑series databases (Influx
DB, Timescale
DB) and…
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