Own the full stack of ingestion processing , storage , action / triggers; drive architecture and performance optimization.
Apply Domain-Driven Design (DDD) principles for clean architecture and maintainable codebases.
Build and maintain backend services using Python (FastAPI) and other modern frameworks.
Design and operate real-time data pipelines using distributed computing tools (Ray.io or equivalent).
Manage and scale databases PostgreSQL (advanced tuning, indexing) and NoSQL systems (MongoDB, etc.).
Architect microservices and event-driven systems for high throughput and low latency.
Use Docker and Kubernetes for containerization and orchestration.
Set up CI / CD pipelines (GitHub Actions) and monitor performance with AWS CloudWatch / Grafana.
Lead by example in coding standards, testing, and system design
Must-Have Skills :
Python (FastAPI, pandas, NumPy)
PostgreSQL (Advanced)
Systems (Ray.io or similar)
Docker & Kubernetes Deployment
CI / CD & DevOps (GitHub Actions, AWS)
Architecture & Problem Solving
Communication, Leadership, Personality
Good-to-Have Skills :
Terraform / Infrastructure-as-Code
Asynchronous task queues (Celery, Dramatiq, RQ)
Machine Learning / AI system exposure
Experience with KubeRay, Kafka, or data streaming frameworks
(ref : hirist.tech)
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Python Developer • Delhi, IN
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