Role Summary Krimatix is building a modular, metadata-driven platform for industrial execution, inspection, and integrity workflows. User experiences, validations, and workflows are dynamically generated from JSON configuration and rules. We are seeking Senior Software Engineers who can design and implement end-to-end solutions across frontend, backend, and data. This role requires a strong security mindset and shift-left quality practices, and may also contribute to AI-enabled capabilities (RAG, embeddings, vector search) and advanced visualization, including 3D engineering data. Key Responsibilities Full Stack Delivery and System Design • Design and deliver full-stack features from concept through production, including UI, APIs, data models, integrations, and operational readiness.• Translate ambiguous requirements into scalable technical designs, implementation plans, and clear delivery milestones.• Build reusable platform components and internal libraries to accelerate module delivery and reduce duplication.• Build or integrate advanced visualization including browser-based 3D viewing and interaction; optimize performance for large engineering datasets. Metadata-Driven Platform Engineering • Extend the metadata-driven framework: dynamic forms and screens, configurable workflows, rules and validations, computed fields, and configuration-driven behavior.• Implement safe versioning and backward-compatible changes for metadata and APIs to support continuous releases. Data Engineering (Relational and NoSQL) • Design and implement data solutions using relational and NoSQL databases, selecting the right model for each domain and access pattern.• Own query performance and scalability through indexing, data lifecycle strategies, and efficient tenant-aware access patterns. Security and Multitenancy • Implement secure-by-default services with strong input validation, API versioning, and robust error handling.• Enforce RBAC and tenant isolation across UI, API, and data access layers (authorization-positive and authorization-negative scenarios).• Support audit-friendly behaviors such as structured logging, traceability, and change visibility where required. Shift-Left Quality and Reliability • Drive shift-left quality by building unit tests, integration tests, and contract tests into the development workflow and CI.• Partner with QA/SDETs to ensure acceptance criteria are testable and automation coverage is practical and high signal.• Design for reliability and operability: observability, structured logs, metrics, and production triage readiness. AI Enablement • Contribute to AI-ready capabilities such as document ingestion, indexing and retrieval APIs, embeddings and vector search integrations, and evaluation workflows. Required Qualifications • 5+ Years of Senior-level full-stack engineering experience delivering production systems end to end.• Strong system design skills with the ability to decompose complex problems and deliver independently.• Strong experience with React and Next.js for building data-driven web applications.• Strong backend engineering experience with Node.js; Fastify preferred for API development.• Experience designing and optimizing data models and queries across relational (PostgreSQL/SQL Server/MySQL) and NoSQL (MongoDB) databases.• Hands-on experience implementing authentication and authorization patterns, including RBAC and tenant isolation.• Strong shift-left quality mindset: unit testing, integration testing, and CI-driven engineering standards. Preferred Qualifications • Experience with metadata-driven platforms, workflow engines, rules engines, or highly configurable products.• Experience enabling AI features such as RAG, embeddings, vector search, and relevance evaluation.• Experience with 3D visualization in the browser (WebGL, Three.js) and performance optimization for large models or point clouds.• Experience with offline-first patterns and data synchronization strategies for web or mobile experiences.• Experience with cloud-native deployment, observability, and operational practices in Azure environments. Technical Environment and Tooling • Frontend: React, modern component libraries and design system patterns• Backend: API-first design, REST and/or GraphQL• Data: Relational databases (PostgreSQL/SQL Server/MySQL) and NoSQL (MongoDB)• Security: Azure AD B2C (or equivalent), JWT, RBAC, tenant isolation• Quality: shift-left testing, contract testing, CI quality gates• Delivery: Git-based workflows, code reviews, CI/CD pipelines
