Senior Fullstack Engineer

Job Description

Asign is building the future of art-tech ? a unified ecosystem for artists, collectors, and institutions. We bring together inventory management, global art IDs, AI-powered discovery, and a transparent marketplace into one platform. As a Senior Full Stack Engineer , you?ll play a pivotal role in architecting, scaling, and optimizing Asign?s next-generation art-tech infrastructure. You?ll lead development efforts, influence design decisions, and mentor a team of engineers building products at the intersection of creativity, technology, and data intelligence. What You?ll Build & Lead ? Architecture & Scale: Design modular, fault-tolerant systems using React, Next.js, Python (FastAPI), and MongoDB, ensuring performance at global scale. ? Technical Leadership: Guide a small team of engineers, drive code reviews, and enforce engineering best practices. ? AI-Driven Innovation: Partner with data and AI teams to integrate ML-driven features ? from personalized recommendations to image and metadata intelligence. ? Cloud-Native Infrastructure: Drive containerization, CI/CD, and monitoring excellence across AWS and Kubernetes environments. ? End-to-End Ownership: From design to deployment ? ensure features are delivered with scalability, observability, and maintainability built in. ? Cross-Functional Collaboration: Work closely with Product, Design, and DevOps to deliver delightful, resilient user experiences. Key Responsibilities Frontend Engineering ? Architect and implement high-performing UIs using React + Next.js with TypeScript and design-system principles. ? Ensure accessibility, modularity, and reusability across features. ? Profile and optimize front-end performance for scalability. Backend Engineering ? Build and optimize distributed, secure APIs in FastAPI (Python) and Node.js. ? Design scalable data models in MongoDB; integrate SQL where necessary. ? Implement advanced authentication/authorization (JWT/OAuth2), rate limiting, and API gateways. ? Champion microservices and event-driven design patterns. DevOps & Cloud ? Deploy and manage workloads on AWS (EKS, S3, EC2, RDS, CloudWatch). ? Drive Kubernetes automation, Helm templating, and container optimization. ? Set up and maintain CI/CD pipelines using GitHub Actions, ArgoCD, or Jenkins. ? Lead observability initiatives: logging, tracing, and metrics for production visibility. AI & Integration ? Collaborate on integrating AI/ML models (recommendation, tagging, fraud/anomaly detection). ? Build pipelines and APIs for AI inference at scale. ? Drive experimentation frameworks to measure impact of AI-driven features. What We?re Looking For ? 8?10 years of full-stack development experience in product-based or high-scale SaaS environments. ? Deep expertise in React.js, Next.js, Python (FastAPI), and MongoDB. ? Strong architectural understanding of microservices, APIs, caching, and async processing. ? Proven experience with AWS, Kubernetes, Docker, and CI/CD pipelines. ? Strong grasp of performance optimization, database scaling, and observability tooling. ? Experience leading or mentoring mid-level engineers. Nice-to-Have ? Experience integrating AI/ML APIs (Vision, NLP, Recommendation). ? Exposure to GraphQL, event buses (Kafka/SNS/SQS), or serverless design. ? Knowledge of FinOps and cost optimization strategies on AWS. ? Familiarity with frontend performance tooling (Lighthouse, Web Vitals).