Lead Python Developer

Job Description: You are sought after to be a highly skilled Senior Python Engineer with extensive experience in FastAPI and microservices architecture to join a dynamic team at Blend, a premier AI services provider. The ideal candidate will exhibit a strong technical background, demonstrated leadership in technical teams, and expertise in constructing scalable, resilient, and secure applications. Key Responsibilities: - Lead the design, development, and deployment of applications using microservice architecture. - Develop and maintain FastAPI-based backend services with high performance and scalability. - Implement best practices in logging, monitoring, health checks, scalability, resilience, service discovery, API gateways, and error handling. - Ensure code quality, security, and performance optimization. - Work with containerization technologies like Docker and Kubernetes for application deployment. - Collaborate with cross-functional teams to define, design, and ship new features. - Establish and manage CI/CD pipelines for seamless application deployment. - Implement best practices for API design, development, and security. - Set up and maintain monitoring and logging tools (e.g., Prometheus, Grafana). - Ensure adherence to version control systems (e.g., Git) and collaborative workflows. Qualifications: - Proven experience in leading technical teams and developing applications using microservice architecture. - Strong proficiency in Python and FastAPI. - Deep understanding of Pydantic for data validation in FastAPI. - Experience with containerization (Docker, Kubernetes). - Familiarity with CI/CD pipelines and automation tools. - Knowledge of API design and implementation best practices. - Experience working with monitoring and logging tools (e.g., Prometheus, Grafana). - Strong understanding of security best practices in microservices-based applications. Nice to Have: - Experience with Retriever models, including implementation of chunking strategies. - Familiarity with vector databases and their use cases. - Understanding of optimal approaches in querying LLM models via API. - Experience with prompt engineering and different strategies for effective interactions with LLMs. - Exposure to various prompt engineering techniques in different scenarios Additional Information: In return, you can expect: - Competitive Salary: Your skills and contributions are highly valued at Blend, ensuring your salary reflects your knowledge and experience. - Dynamic Career Growth: The vibrant environment at Blend offers rapid growth opportunities, providing the tools, mentorship, and experiences to fast-track your career. - Idea Tanks: Innovation thrives at Blend with "Idea Tanks" providing a platform to pitch, experiment, and collaborate on shaping the future. - Growth Chats: Engage in casual "Growth Chats" to learn and grow your skills in a laid-back setting with peers or over lunch. - Snack Zone: Stay fueled and inspired with a variety of snacks in the Snack Zone to keep your energy high and ideas flowing. - Recognition & Rewards: Great work is recognized at Blend through regular Hive-Fives, shoutouts, and opportunities to see your ideas come to life as part of the reward program. - Fuel Your Growth Journey with Certifications: Blend supports your growth journey by covering the cost of certifications to level up your skills.,