Python Tech Lead

1 week ago

bangalore, India Binary Semantics Ltd. Full time

Hey everyone We are looking for a highly skilled Python Tech Lead to join our dynamic team. The ideal candidate will have 7+ years of experience in software development and expertise in Flask, FastAPI, Django, Docker, MySQL, PostgreSQL, MongoDB, Redis, Kafka, Kubernetes, AWS, GCP, Linux, VCS, and CI/CD pipelines . The role requires strong leadership capabilities to drive the technical roadmap, mentor junior developers, and ensure best practices in software development. Experience with AI/ML for at least 1 year is a plus. Python Tech Lead Location: Gurgaon Experience: 7-8 Years Job Type: Full-time Job Summary: Key Responsibilities: Technical Leadership: Lead the design, development, and deployment of scalable Python applications. Architecture & Design: Architect, develop, and optimize backend services using Flask and FastAPI. Database Management: Work with relational and NoSQL databases such as MySQL, PostgreSQL, and MongoDB. Caching & Message Queues: Implement caching strategies using Redis and manage event-driven architecture with Kafka. Containerization & Orchestration: Deploy applications using Docker and Kubernetes. Cloud Services: Manage deployments on AWS and GCP, optimizing cost and performance. DevOps & CI/CD: Implement and maintain CI/CD pipelines for smooth software delivery. System Administration: Work with Linux environments for scripting, automation, and server management. Version Control: Ensure best practices in code management using VCS (Git, GitHub, GitLab, or Bitbucket). Mentorship: Guide and mentor junior developers, conduct code reviews, and enforce development best practices. AI/ML Integration (Good to Have): Collaborate with AI/ML engineers to integrate ML models into Python applications. Required Skills & Qualifications: 7-8 years of professional experience in Python development. Strong experience with Flask and FastAPI. Expertise in SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB). Hands-on experience with Redis and Kafka. Proficiency in Docker and Kubernetes for containerization and orchestration. Experience deploying applications on AWS and GCP. Solid understanding of Linux administration. Strong knowledge of CI/CD pipelines and DevOps practices. Experience with Git and version control systems. Excellent problem-solving and debugging skills. Strong leadership, communication, and mentorship abilities. Good to Have: At least 1 year of experience in AI/ML. Preferred Qualifications: Experience in microservices architecture. Familiarity with Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Exposure to security best practices in cloud and backend development. Reach out at: /

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