Engineer, Quality Assurance

Summary

AGent Energy is building a software platform that uses AI to optimize distributed generation resources across energy markets. The Quality Assurance Engineer will own end-to-end testing across cloud infrastructure, IoT communications, embedded firmware, and customer-facing applications, while developing automation and improving quality processes.

Responsibilities

• 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

Skills

• 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
• Experience testing mission-critical or real-time industrial systems where reliability requirements are non-negotiable
• Familiarity with time-series databases (TimescaleDB or similar) and high-volume data pipeline testing
• Exposure to distributed energy resources, generator technologies, backup power systems (big plus!), or grid-edge infrastructure
• Experience with performance and load testing at scale
• Proficiency with Python or .NET (C#) for test automation

Qualifications

Must Haves

• 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

Nice to Haves

• Experience testing mission-critical or real-time industrial systems where reliability requirements are non-negotiable
• Familiarity with time-series databases (TimescaleDB or similar) and high-volume data pipeline testing
• Exposure to distributed energy resources, generator technologies, backup power systems (big plus!), or grid-edge infrastructure
• Experience with performance and load testing at scale
• Proficiency with Python or .NET (C#) for test automation

Benefits

• Performance bonus
• 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.
• The opportunity to build quality into a platform that directly impacts grid reliability and the clean energy transition