Job description
About AGent Energy
AGent is building the leading software platform to optimize distributed generation resources — turning energy liabilities into reliable, monetizable assets. We bring AI to the aggregation, orchestration, and monetization of distributed generation in wholesale and retail power markets, delivering meaningful reliability, economic, and sustainability benefits to commercial, institutional, and industrial energy users, utilities, and grid operators.
We move fast, think big, and operate with a lean, high-trust team. Every hire matters here.
About the role
AGent is seeking a skilled Quality Assurance Engineer to own testing and quality across our entire technology stack — from cloud backend and IoT device communication to embedded firmware and customer-facing applications. This is a mission-critical role at a company where reliability isn't a nice-to-have: when our platform tells a generator to run, it has to run. Every time.
You'll work at the intersection of cloud infrastructure, embedded systems, and real-time energy operations — designing and executing test strategies that ensure our platform performs flawlessly across all layers. You'll partner closely with our Cloud Backend, Application Engineering, and Embedded teams to catch issues early, build robust automated test coverage, and raise the quality bar across everything AGent ships.
This is a hands-on, end-to-end QA role for someone who takes pride in being the last line of defense before code reaches production — and who understands that in critical energy infrastructure, quality is never negotiable.
Responsibilities
End-to-End Test Strategy & Execution
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
Cloud & Backend Testing
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
IoT & Embedded Testing
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
Automation & CI/CD Integration
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
Quality Advocacy & Cross-Functional Collaboration
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
Qualifications
Required
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
Preferred
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
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.
The opportunity to build quality into a platform that directly impacts grid reliability and the clean energy transition
Originally posted on Himalayas
Who can apply
Eligible countries: United States. Accepted UTC offsets: UTC-10, UTC-9, UTC-8, UTC-7, UTC-6, UTC-5, UTC+14. Review the full description for employer-specific work authorization, residency and schedule requirements.