• Perform pavement data analysis to support pavement management system (PMS) implementation, updates, and optimization • Lead or support the implementation and configuration of pavement management systems for clients • Develop network-level and project-level maintenance and rehabilitation strategies • Analyze pavement condition data (PCI, IRI, distress, and structural data) and provide actionable recommendations • Apply engineering principles to evaluate pavement performance, deterioration, and life-cycle strategies • Prepare technical deliverables including reports, GIS outputs, dashboards, and client presentations • Support pavement design and rehabilitation recommendations using industry standards • Assist with specifications development and engineering analyses • Evaluate non-destructive testing data (e.g., FWD, GPR, TSD) • Manage projects from initiation through delivery, including client coordination, budgets, schedules, and reporting • Serve as a point of contact for clients and maintain strong professional relationships • Coordinate with internal teams and subcontractors to support project execution • Support project planning, scheduling, budgeting, and data collection programs • Collaborate with multidisciplinary teams including GIS, geospatial, materials, planning, and field operations • Ensure deliverables meet client expectations and internal QA/QC standards

Role Description Looking for a Lead Quality Engineer for a Platforms & Engineering team to own how to prove products are ready to ship across our web applications, HubSpot workflows, APIs, internal tools, and product analytics. This isn't traditional manual QA, and it isn't the last line of defense. You'll set the quality strategy and lead it through tools and processes pairing strong QA fundamentals with modern automation and AI-assisted testing so we release faster, catch defects earlier, and build a testing practice that scales as we grow. Qualifications - 5+ years of QA, Test Automation, or Quality Engineering experience. - 2+ years of experience building or maintaining automated tests. - Experience testing modern web applications, APIs, integrations, and business workflows. - Has established or significantly matured a QA/automation practice — testing standards, coverage strategy, tooling. - Experience with tools such as Playwright, Cypress, Selenium, Postman, or similar. - Experience with Jira and Confluence in an Agile/Scrum environment. - Experience creating regression, smoke, integration, and acceptance test coverage. - Strong ability to translate requirements and acceptance criteria into clear test plans and automated validation. - Familiarity with AI-assisted QA tools, test generation, self-healing tests, or low-code/no-code automation platforms. - Ability to troubleshoot failed tests, isolate defects, identify flaky tests, and improve test reliability. - Strong understanding of release readiness, defect lifecycle management, regression risk, and test coverage. - Self-directed — can set the quality agenda and drive it without day-to-day direction. - Communicates clearly with Product, Design, and Engineering. Benefits - Unlimited Paid Time Off - 10 Paid Holidays - Medical, Vision, and Dental benefits - Employee Ownership - 401(k) - Paid training certifications - Very competitive compensation plans Company Description ClearlyAgile is one of the fastest growing Agile companies in the Tampa Bay area. We foster career growth and are focused on having fun while delivering quality products and services to our clients. - Our Mission: Transform our customer’s businesses using Agile methodologies and principles to help them succeed in a flexible, collaborative, self-organizing and fast-paced environment. - Our Values: We hire and reward based on our core values. - Show Your Passion - Have passion for what you do. Be an active learner with a commitment to grow. Attend and participate in events! - Be a Champion of Agile - Spread the word. Back it up with examples, case studies, and data points. Lead by example. - Teamwork - Be cooperative and collaborative while maintaining a team-first mindset. - Customer-centric - Always focus on the client and their customers. See the world from their perspectives. - Quality - Maintain a sense of pride in the quality of your work and the collective work of the team. - Be a Leader - Empower yourself to make decisions and don’t be paralyzed by fear of failure.

Role Description We are seeking a technically proficient, business-minded Forward Deployed Engineer to help push the frontier of advanced AI with our strategic startup customers. You'll work with some of the most exciting AI startups in the world, guiding them through ideation, development, delivery, and scaling to accelerate and maximize the value of what they build on our platform. You will have the opportunity to work on the most novel and creative use cases being built on our API, serving as a critical partner in collecting and delivering high-fidelity product and model feedback internally. You will collaborate closely with Sales, Solutions Engineering, Applied Research, and Product teams, and you will report to the Startups Solutions Architecture Lead. Responsibilities - Partner closely with customers as their technical partner to deploy Nanonets to production, helping them rapidly move from ideation to scale. - Provide proactive guidance to maximize business impact and accelerate application development. - Translate customer requirements into clear documentation (PRDs, workflows, success criteria) for internal teams. - Partner closely with Product, Engineering, and Solutions teams to scope work, prioritize requests, and deliver against timelines. - Maintain and prioritize backlogs across multiple customer accounts. - Plan and communicate project timelines using structured documentation (project plans, trackers, presentations). - Ensure end-to-end testing and validation of workflows before customer release. Qualifications - 5+ years of experience as a software engineer, ML engineer or equivalent, ideally in a startup environment; experience as a founder or founding engineer is highly valued. - Have passion for startups and a belief in their potential to become future large enterprises. - Are proficient in Python, JavaScript, and a strong grasp of AI/LLM best practices. - Built and/or delivered prototypes on top of our API platform. - Can proactively identify opportunities for maximizing our customers’ business value through leveraging the Nanonets API. - Own problems end-to-end and are willing to pick up whatever knowledge you're missing to get the job done. - Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed. - Are an effective, high throughput operator who can drive multiple concurrent projects and prioritize ruthlessly. Requirements - This is a remote role. - Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. - The base salary range is €80,000-120,000 euros per year.

• Define and implement the validation framework that ensures microgrid control software performs safely and reliably before deployment. • Build the simulation environments, validation tools, and Hardware-in-the-Loop (HIL) testing capabilities that verify system stability, controller performance, and operational readiness across a wide range of real-world scenarios. • Work closely with controls engineers, power systems engineers, utilities, and external partners to ensure microgrid systems meet performance, compliance, and reliability expectations at scale. • Develop software validation tools and simulation frameworks that exercise control algorithms across a full range of operating conditions, including failure modes, communication delays, and equipment faults. • Design and maintain automated test execution workflows that improve validation efficiency, repeatability, and reporting. • Create scalable validation processes that support the continued growth and deployment of microgrid systems. • Partner with controls engineers, power systems engineers, utilities, and external stakeholders to define validation scenarios, test cases, and performance requirements. • Verify controller behavior under both normal operating conditions and abnormal system events. • Establish objective performance metrics and acceptance criteria to evaluate system readiness. • Analyze field operating data to improve simulation fidelity and identify previously untested edge cases. • Incorporate operational insights into regression test suites to continuously strengthen validation coverage. • Support root-cause investigations and validation efforts for system performance issues. • Expand and maintain laboratory validation capabilities, including HIL environments and supporting test infrastructure. • Troubleshoot issues related to test equipment, simulation platforms, and validation workflows. • Maintain organized repositories of validation assets, test artifacts, requirements traceability, and technical documentation.