Engineer, Quality Assurance

About Aigent EnergyAGent 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 roleAGent 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.ResponsibilitiesEnd-to-End Test Strategy & ExecutionDesign, build, and maintain comprehensive test strategies that cover the full AGent platform — cloud backend, IoT device communication, embedded firmware, and customer-facing application layersDevelop and execute functional, integration, regression, and end-to-end test suites across all platform componentsOwn 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 endMaintain clear documentation of test coverage, results, and known issues across the platformCloud & Backend TestingTest AWS infrastructure components including IoT Core device provisioning, Lambda functions, and data ingestion pipelinesValidate TimescaleDB schema performance and data integrity under high-volume, high-frequency telemetry loadsTest API integrations, data pipelines, and backend services for reliability, accuracy, and performance at scaleIoT & Embedded TestingDevelop and execute test protocols for IoT device communication, provisioning workflows, and command handling between cloud and embedded systemsPartner with the Embedded Engineering team to validate firmware behavior, device-to-cloud messaging, and real-time control event accuracyBuild test environments and simulation frameworks that replicate real-world generator behavior and edge conditionsAutomation & CI/CD IntegrationBuild and maintain automated test suites integrated into AGent's CI/CD pipelines via GitHub ActionsImplement automated regression coverage that catches issues before they reach productionContinuously improve test efficiency, coverage, and reliability through automation and toolingQuality Advocacy & Cross-Functional CollaborationPartner with Cloud Backend, Application, and Embedded Engineering teams throughout the development lifecycle — not just at the endIdentify, document, and track bugs with clear reproduction steps and prioritization recommendationsContribute to post-incident reviews and help drive process improvements that prevent recurrenceActively 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 teamQualificationsRequired3–5 years of QA engineering experience with demonstrated ownership of end-to-end test strategy and executionHands-on experience testing cloud-based systems — AWS experience strongly preferredFamiliarity with IoT systems, device communication protocols, and embedded or firmware testingExperience building and maintaining automated test frameworks and integrating them into CI/CD pipelinesStrong SQL skills for data validation and backend testingExperience with Claude AI or other AI tools in a professional context, or a demonstrated eagerness to integrate AI into your QA workflowDetail-oriented with strong written communication skills — you document clearly and advocate for quality convincinglyAbility to work cross-functionally across cloud, embedded, and application engineering teamsPreferredExperience testing mission-critical or real-time industrial systems where reliability requirements are non-negotiableFamiliarity with time-series databases (TimescaleDB or similar) and high-volume data pipeline testingExposure to distributed energy resources, generator technologies, backup power systems (big plu