Quality Assurance Engineer

AiGent

Quality Assurance Engineer ensuring quality in AGent's software for distributed energy optimization. Collaborating on cloud, IoT, and embedded systems testing with a focus on reliability and automation.

Posted 6/20/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudIoTSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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.

ATS Keywords

✓ Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

QA engineeringtest strategyfunctional testingintegration testingregression testingend-to-end testingautomated test frameworksSQLcloud-based systems testingIoT systems testing

Soft Skills

detail-orientedstrong written communicationcross-functional collaborationadvocacy for qualityprocess improvement mindset