Quality Assurance Engineer

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AiGent

WebsiteLinkedInAll Job Openings

1 - 10 employees

Founded 2025

⚡ Energy

☁️ SaaS

🤝 B2B

Energy • SaaS • B2B

AiGent is a company that provides a software platform to monitor and manage onsite backup generators, connecting them to electricity markets. It offers real-time visibility, automated control, load cycling and reporting to ensure generators are maintained, monetize underused assets, reduce energy costs, and support business continuity for commercial and institutional customers.

📋 Description

• Design, build, and maintain comprehensive test strategies that cover the full AGent platform — cloud backend, IoT device communication, embedded firmware, and customer-facing application layers • Develop and execute functional, integration, regression, and end-to-end test suites across all platform components • Own test planning for new features and releases, working closely with engineering leads to ensure quality is built in from the start — not bolted on at the end • Maintain clear documentation of test coverage, results, and known issues across the platform • Test AWS infrastructure components including IoT Core device provisioning, Lambda functions, and data ingestion pipelines • Validate TimescaleDB schema performance and data integrity under high-volume, high-frequency telemetry loads • Test API integrations, data pipelines, and backend services for reliability, accuracy, and performance at scale • Develop and execute test protocols for IoT device communication, provisioning workflows, and command handling between cloud and embedded systems • Partner with the Embedded Engineering team to validate firmware behavior, device-to-cloud messaging, and real-time control event accuracy • Build test environments and simulation frameworks that replicate real-world generator behavior and edge conditions • Build and maintain automated test suites integrated into AGent's CI/CD pipelines via GitHub Actions • Implement automated regression coverage that catches issues before they reach production • Continuously improve test efficiency, coverage, and reliability through automation and tooling • Partner with Cloud Backend, Application, and Embedded Engineering teams throughout the development lifecycle — not just at the end • Identify, document, and track bugs with clear reproduction steps and prioritization recommendations • Contribute to post-incident reviews and help drive process improvements that prevent recurrence • Actively use Claude AI and other AI tools to accelerate test case generation, documentation, and defect analysis — and bring a continuous improvement mindset to how AI can raise quality across the team

🎯 Requirements

• 3–5 years of QA engineering experience with demonstrated ownership of end-to-end test strategy and execution • Hands-on experience testing cloud-based systems — AWS experience strongly preferred • Familiarity with IoT systems, device communication protocols, and embedded or firmware testing • Experience building and maintaining automated test frameworks and integrating them into CI/CD pipelines • Strong SQL skills for data validation and backend testing • Experience with Claude AI or other AI tools in a professional context, or a demonstrated eagerness to integrate AI into your QA workflow • Detail-oriented with strong written communication skills — you document clearly and advocate for quality convincingly • Ability to work cross-functionally across cloud, embedded, and application engineering teams

🏖️ Benefits

• Competitive base salary, performance bonus, and early-stage equity • 100% employer-paid Health, Dental, and Vision premiums for full-time employees • Two health plan options: traditional plan with FSA, or HDHP with company-funded HSA • Basic Term Life Insurance + voluntary insurance options • Flexible PTO • Fully remote — work from anywhere in the U.S.