Senior Python API developer (Onsite)

Overview

On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

python
microservices
kafka
SQL
API Gateway
Event Orchestrator
FastAPI
Flask
Django

Job Details

Key Responsibilities

  • Develop: Build, and maintain high-performance, scalable, and reliable Python microservices for our core event-driven platform.
  • Event-Driven Architecture: Build and manage real-time data pipelines using Kafka to handle asynchronous communication between the API Gateway, Event Orchestrator, and various backend fulfillment systems.
  • Containerization & Orchestration: Deploy, manage, and scale applications on Kubernetes, focusing on best practices for resilience, observability, and CI/CD.
  • Conversational Logic: Implement and enhance the core routing logic that parses user intent and directs tasks to the appropriate backend, whether it's a third-party IVA, an internal model, or a human-in-the-loop escalation path.
  • System Integration: Collaborate with teams managing APIs, databases (Persistence DB), and fulfillment systems to ensure seamless and robust integrations.
  • Monitoring & Analytics: Instrument services for comprehensive monitoring, logging, and tracing using tools like Splunk, Prometheus, and Grafana to guarantee system health and performance.

Required Qualifications (Must-Haves)

  • Python Expertise: 5+ years of professional software development experience with expert-level proficiency in Python, including deep knowledge of frameworks like FastAPI, Flask, or Django.
  • Kafka Experience: Strong, hands-on experience with Apache Kafka or similar event streaming platforms, including a solid understanding of topics, partitions, producers, and consumers.

Nice to have

  • Microservices & API Design: Proven experience building complex, scalable backend systems, microservices, and RESTful APIs.
  • Kubernetes & Docker: Solid practical experience with containerization using Docker and deploying and managing applications in a Kubernetes environment (writing manifests, using Helm, etc.).

Software Engineering Fundamentals: Strong foundation in data structures, algorithms, and system design principles

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