Engineering Manager

7 days ago

Kolkata, West Bengal, India Bitpastel Full time ₹ 1,50,000 - ₹ 28,00,000 per year

Engineering Manager (Python & AI)

Role Overview

We are looking for an Engineering Manager with years of experience to lead a team responsible for building scalable AI-driven systems in Python. The role involves team leadership, system development, and hands-on contributions in areas such as server management, CI/CD automation, scraping, ETL processes, and AI tools/model development.

Key Responsibilities

  • Team & Project Management

  • Lead and manage a team of Python engineers.

  • Plan, assign, and monitor tasks to ensure timely project delivery.

  • Conduct code reviews and enforce coding standards.

  • System Development & Operations

  • Oversee development and deployment of server-based applications.

  • Design and implement CI/CD pipelines and automation workflows.

  • Manage infrastructure for reliable and scalable AI systems.

  • Data Engineering & AI

  • Develop and maintain web scraping pipelines for structured/unstructured data collection.

  • Design and manage ETL workflows for data ingestion and transformation.

  • Guide development, training, and deployment of AI/ML models.

  • Quality & Performance

  • Ensure adherence to best practices in testing, monitoring, and version control.

  • Optimize system performance, scalability, and maintainability.
  • Collaborate with stakeholders to align technical execution with business needs.

Required Skills & Experience

  • Experience: years in software engineering, including 3+ years in a leadership role.
  • Programming: Strong proficiency in Python and its libraries/frameworks.

  • Server & DevOps:

  • Experience with server-side development.

  • Hands-on expertise in CI/CD pipelines and automation (Jenkins, GitHub Actions, GitLab CI, etc.).

  • Data & AI:

  • Proficiency in scraping frameworks (Scrapy, Selenium, etc.).

  • Experience in ETL pipelines and data processing.

  • Knowledge of AI/ML frameworks (PyTorch, TensorFlow, scikit-learn).

  • Other:

  • Familiarity with cloud platforms (AWS, GCP, Azure).

  • Strong understanding of system design and distributed systems.

Preferred Skills

  • Knowledge of MLOps tools for deploying, monitoring, and scaling ML models
  • Experience with containerization (Docker, Kubernetes)
  • Exposure to microservices architecture
  • SaaS-specific scaling and performance optimization
  • Familiarity with security practices for SaaS AI systems

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