Python Backend Engineer

Role Overview: As a Python Backend Engineer, you will play a crucial role in owning and evolving the backend architecture of a large-scale analytical platform. This platform processes massive datasets and caters to thousands of concurrent users in real time. Your responsibilities will include designing low-latency, secure, and reliable APIs, integrating GenAI-powered workflows, and ensuring that the system maintains top-notch performance, scalability, and resilience. Key Responsibilities: - Possess at least 3-7 years of professional Python backend development experience - Demonstrate expertise in REST API design and microservices architecture - Exhibit strong proficiency in implementing security best practices for backend systems - Have experience with SSE, WebSockets, and event-driven architecture - Showcase strong database skills, including familiarity with PostgreSQL/MySQL, MongoDB, or other NoSQL systems - Implement authentication & authorization protocols such as OAuth2, JWT, and RBAC - Lead technical discussions effectively and provide mentorship to fellow developers Qualifications Required: - Exposure to MCP and A2A would be advantageous - Hands-on experience with LlamaIndex, LangChain, or similar AI tooling is desirable - Familiarity with logging, monitoring, and tracing tools like ELK, Prometheus, Grafana, and OpenTelemetry - Knowledge of AWS cloud services, particularly EC2, Lambda, S3, and API Gateway - Experience with Kubernetes orchestration, EKS preferred - Proficiency in setting up CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI - Understanding of Infrastructure-as-Code principles, such as Terraform and CloudFormation - Familiarity with messaging systems like Kafka, RabbitMQ, and AWS SNS/SQS - Knowledge of caching strategies involving Redis and Memcached - Experience with containerization using Docker and image optimization techniques - Understanding of serverless computing patterns - Exposure to Matplotlib or backend-driven chart generation - Proficiency in using performance profiling and load testing tools like Locust and JMeter (Note: Additional details about the company were not provided in the job description.),