Senior Full Stack Engineer

Job Description: Design, build, and maintain software connecting RFID readers, handheld devices, asset tracking, inventory, and operational workflows. Own end-to-end backend services, APIs, and data models for configuration, asset records, event processing, reporting, and customer-system integrations. Integrate hardware and readers via vendor SDKs, APIs, and network protocols, ensuring resilient communication and troubleshooting issues across application code, hardware, networks, and databases. Implement reliable asynchronous event processing to handle device disconnects, restarts, duplicate reads, and partial deliveries without data loss. Develop clean, practical web interfaces with modern frontend frameworks for setup and daily operations, ensuring clear visibility into active, pending, or failed system states. Manage schema design, data migration, transactions, and concurrency to preserve identity, relationships, and history. Package, test, and deploy applications across hosted and customer-operated environments, ensuring reproducible setups, upgrades, backups, and recovery. Write automated tests, maintain clear technical documentation, and champion secure engineering practices (server-side permissions, protected credentials, and secure transport). Job Requirements: Backend Expertise: Demonstrated hands-on ownership of production software using Java and Spring. Database & Data Integrity: Strong SQL and relational database skills, including schema evolution, transaction management, concurrency, and data integrity. Systems Integration: Proven experience integrating external systems via SDKs, APIs, or network protocols, with strong debugging skills for asynchronous failures, retries, and network edge cases (direct RFID experience is a plus, not mandatory). Frontend Capabilities: Practical frontend development skills with a modern framework to build and maintain complete, functional operational web workflows. DevOps & Testing: Hands-on experience with automated testing, CI/CD build/release pipelines, version control, and maintaining production deployments. AI-Assisted Engineering: Proficiency using AI coding assistants and agents to implement, refactor, debug, and test code, paired with strong independent code-review judgment and confidential data protection. Security & Operations: Working knowledge of server permissions, secure credential handling, centralized logging, and recovery protocols. Soft Skills & Autonomy: Strong ability to work autonomously in a distributed remote team, clarify ambiguous requirements into concrete acceptance criteria, and deliver maintainable architecture. Nice to Have: Familiarity with RFID/IoT hardware (FEIG, Zebra), SQL Server, Windows services/Linux, Kotlin/Android, Microsoft Entra SSO, or legacy-to-modern system migrations. Show more Show less