Derq is an MIT spinoff building AI-powered traffic safety and smart infrastructure. We’re a team of passionate innovators, leveraging the latest in AI and technology to transform the future of mobility. Our platform enhances road safety and traffic management by turning real-time data into actionable insights for cities and road operators. Our patented technology collects and analyzes data from connected sensors like cameras, radar, and traffic signal controllers to help predict and prevent road incidents. We deploy edge and cloud solutions that make intersections and highways safer and smarter. Role Overview As a ML Quality Assurance Engineer at Derq, you will play a critical role in ensuring the reliability, accuracy, and performance of our computer vision and machine learning based products. You will work closely with our development team to design and execute comprehensive test strategies, identify and report defects, and help improve the overall quality of our customer facing AI products, using data analytics. Key Responsibilities - Collaborate with AI development and product teams to understand product requirements and design effective test plans and test cases for AI based products - Strategize evaluation methodologies, gathering data and evaluation reporting - Perform data analytics on large datasets - Monitor and track anomalies within product’s content and statistics - Train and deploy ML models to help boost product performance - Create and maintain detailed documentation of test processes, methodologies, and findings - Keep up to date with advancements in the field to optimize internal processes and workflows - Interface and coordinate with Engineering team - Foster a collaborative, proactive team environment that values shared success.

• Testing Strategy & Leadership: Contribute to driving the overall QA strategy for Mirantis Secure Registry, Kubernetes and cloud-native environments, aligning quality goals with business objectives and release deadlines. • Evaluate and champion best-in-class testing practices and frameworks for distributed systems. • Lead risk analysis and test planning for large-scale, multi-cloud registry, infrastructure and container orchestration. • Architect test frameworks and infrastructure for validating microservices and infrastructure components in multi-cluster and hybrid-cloud environments. • Oversee the design of complex test scenarios simulating production-like workloads, resource scaling, failure injection, and recovery across distributed clusters. • Spearhead the development of scalable and maintainable test automation integrated with CI/CD (Jenkins, GitHub Actions, etc.). • Leverage Kubernetes APIs, Helm, and service mesh tools to build comprehensive automation coverage, including system health, failover behavior, and network resilience. • Promote test infrastructure-as-code and drive IaC forward on the team making sure the infrastructure code is repeatable, extensible and reliable. • Mentor QA engineers and developers in advanced testing techniques such as: risk-based testing, chaos engineering, performance and load testing etc. • Serve as the QA authority in design reviews, production readiness assessments, and incident retrospectives (escaped defects). • Collaborate with devops engineers to refine monitoring, alerting, and debugging strategies for testing automation being run in CI/CD. • Establish quality gates, release readiness metrics, and data driven feedback loops to ensure released software is production quality. • Drive initiatives to integrate performance, security, and chaos testing into the development lifecycle. • Advocate for a culture of quality across teams and influence architecture decisions with testing in mind.

The Opportunity Alma is a leading student information system provider serving K-12 educational institutions across 16 states. We're committed to helping schools manage their data efficiently while maintaining compliance with state and federal reporting requirements. We're seeking a detail-oriented, technically-minded problem solver to join our State Reporting team. This role is perfect for someone early in their career who wants to blend technical skills with meaningful impact in education. You'll be the safety net that ensures schools can accurately report student data and access critical integrations—work that directly impacts school funding, compliance, and student outcomes. RESPONSIBILITIES: - Manually test state reports, custom reports, and third-party integrations before release - Design and execute test cases that mirror real-world school scenarios - Document bugs with precision, providing clear reproduction steps and data context - Validate data transformations and field mappings against state specifications - Partner with engineers to verify fixes and prevent regression Quality Assurance (40%) - Manually test state reports, custom reports, and third-party integrations before release - Design and execute test cases that mirror real-world school scenarios - Document bugs with precision, providing clear reproduction steps and data context - Validate data transformations and field mappings against state specifications - Partner with engineers to verify fixes and prevent regression Assessment Configuration (40%) - Build assessment shells in our system according to publisher-specific requirements - Configure complex settings for standardized tests (NWEA MAP, Renaissance, etc.) - Maintain detailed documentation of assessment configurations across different publishers - Troubleshoot assessment setup issues for customer success teams - Stay current on publisher changes and updates Assessment Configuration (40%) - Build assessment shells in our system according to publisher-specific requirements - Configure complex settings for standardized tests (NWEA MAP, Renaissance, etc.) - Maintain detailed documentation of assessment configurations across different publishers - Troubleshoot assessment setup issues for customer success teams - Stay current on publisher changes and updates Continuous Learning & Support (20%) - Learn state reporting frameworks and education data standards (we'll teach you!) - Participate in root cause analysis when customer issues arise - Contribute to knowledge base articles and internal documentation - Collaborate with Reporting Analysts to understand compliance requirements - Identify patterns in bugs or customer questions that suggest process improvements QUALIFICATIONS Required: - Bachelor's degree in Computer Science, Information Systems, Education Technology, or related field (or equivalent experience) - Understanding of software development lifecycle and testing methodologies - Experience with data concepts: how systems store, transform, and validate information - Exceptional attention to detail—you catch what others miss - Ability to think systematically: "If this changes, what else might break?" - Clear written communication skills for documenting bugs and processes - Comfort working with spreadsheets, CSVs, and structured data - Genuine curiosity and willingness to learn complex, domain-specific knowledge Bonus: - Prior experience in edtech, K-12 schools, or educational software - Familiarity with JSON, APIs, or data integration concepts - Experience working with MongoDB or NoSQL databases - Experience with testing tools or bug tracking systems (Jira, etc.) - Understanding of education data (student records, grades, attendance) - Experience creating technical documentation Who Thrives Here You're energized by variety—one day you're testing a Pennsylvania PIMS report, the next you're configuring NWEA assessments. You don't just find bugs; you think about why they happened and how to prevent them. You're comfortable saying "I don't know, but I'll figure it out." You appreciate that while the work is technical, the impact is human: real students, real schools, real consequences. Location: Portland, Oregon (in-office preferred; but open to fully remote) Reports to: Director of State Reporting Employment Type: Full-time

Lead and mentor a team of Garment Technologists, develop product specifications, conduct fit sessions, and provide technical advice on fabric and construction methods to optimize product quality and compliance.