Description
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.
(ref:hirist.tech)
