Job Title: Python Lead
Experience: 7-10 Years
Location: Bangalore
Mode: In-office (Mandatory in-person client interview)
Notice Period: Immediate Joiners Only
Job Summary:
We are looking for an experienced Python Lead with strong expertise in Python, FastAPI/Flask, and data engineering frameworks. The ideal candidate will lead development efforts, design scalable solutions, and collaborate closely with clients to deliver high-quality applications.
Key Responsibilities:
Lead and mentor a team of developers in Python-based application development.
Design, develop, and optimize REST APIs and backend services using FastAPI/Flask.
Work with large datasets leveraging Pandas, NumPy, SQL, and NoSQL databases (MongoDB, Postgres, CRDB).
Integrate applications with middleware platforms such as Mulesoft or BizTalk.
Apply best practices in OOP, design patterns, and CI/CD pipeline implementations.
Collaborate with clients during in-person technical discussions and solutioning sessions.
Ensure system scalability, performance, and security across deployments.
Key Requirements:
7-10 years of professional experience in Python development.
Strong hands-on experience with FastAPI/Flask, Pandas, NumPy.
Proven expertise with SQL/NoSQL databases (MongoDB, Postgres, CockroachDB).
Solid understanding of REST APIs, middleware integration (MuleSoft/BizTalk), CI/CD pipelines, OOP, and design patterns.
Strong problem-solving and debugging skills.
Excellent communication and leadership capabilities.
Mandatory in-person client interview process.
Immediate joiners only.
Good to Have:
Exposure to Azure Cloud services.
Experience with Big Data technologies (Hadoop, ADLS).
Knowledge of messaging queues like Kafka or RabbitMQ.
Hands-on with containerization and orchestration (Docker, Kubernetes).
Familiarity with AI tools (GitHub Copilot, ChatGPT, or similar) for productivity.
Job Type: Full-time
Pay: ₹2,000,000.00 - ₹2,400,000.00 per year
Application Question(s):
Can you join immediately?
Experience:
Python: 7 years (Required)
Mulesoft: 2 years (Required)
Work Location: In person
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