Senior Fullstack Engineer
1 week ago
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, ,
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 + 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
● 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 , , 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).
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