DevOps Team Lead

3 Months ago • 6-8 Years • DevOps

Job Summary

Job Description

We are seeking a highly skilled and experienced AI DevOps Team Lead with a strong background in Python, Docker, Kubernetes, and API standardization. The ideal candidate will have experience deploying code into production environments and a deep understanding of AI development processes. As a Team Lead, you will guide the DevOps team in implementing and maintaining robust, scalable, and efficient AI systems, ensuring smooth production deployment and operations. Key Responsibilities: Lead the AI DevOps team in designing, developing, and maintaining scalable, reliable infrastructure. Oversee the deployment of AI models and applications using Docker, Kubernetes, and other containerization technologies. Implement and standardize APIs, ensuring efficient integration and communication between AI systems and services. Collaborate with software engineers, data scientists, and AI developers to optimize the deployment process. Contribute to and leverage open-source platforms, understanding the importance of open-source in the AI and DevOps ecosystem. Automate processes for continuous integration, continuous delivery (CI/CD), and monitoring for AI pipelines. Lead the implementation of best practices in security, compliance, and system monitoring for AI workloads. Ensure proper use of cloud environments and tools for production-level AI deployment. Mentor junior DevOps engineers and ensure the team is up-to-date with the latest industry trends and tools in AI DevOps.
Must have:
  • Proven experience in Python development
  • Extensive hands-on experience with Docker, Kubernetes
  • In-depth knowledge of API development
  • Experience deploying AI models
  • Familiarity with open-source platforms
  • Ability to automate deployment processes
  • Strong problem-solving skills
  • Solid understanding of cloud infrastructure
  • Excellent communication and leadership skills
Good to have:
  • Experience contributing to or managing open-source projects
  • Knowledge of modern AI/ML frameworks
  • Prior experience in a team lead or management role
  • Familiarity with monitoring and security best practices
Perks:
  • Provident Fund
  • Gym Membership
  • Leaves as per the company policy
  • Company-paid trips
  • Easy Loan Facility for Employees
  • Yearly increment
  • Health Insurance (includes spouse and parents)

Job Details

Description

We are seeking a highly skilled and experienced AI DevOps Team Lead with a strong background in Python, Docker, Kubernetes, and API standardization. The ideal candidate will have experience deploying code into production environments and a deep understanding of AI development processes. As a Team Lead, you will guide the DevOps team in implementing and maintaining robust, scalable, and efficient AI systems, ensuring smooth production deployment and operations.

Key Responsibilities:

  • Lead the AI DevOps team in designing, developing, and maintaining scalable, reliable infrastructure.
  • Oversee the deployment of AI models and applications using Docker, Kubernetes, and other containerization technologies.
  • Implement and standardize APIs, ensuring efficient integration and communication between AI systems and services.
  • Collaborate with software engineers, data scientists, and AI developers to optimize the deployment process.
  • Contribute to and leverage open-source platforms, understanding the importance of open-source in the AI and DevOps ecosystem.
  • Automate processes for continuous integration, continuous delivery (CI/CD), and monitoring for AI pipelines.
  • Lead the implementation of best practices in security, compliance, and system monitoring for AI workloads.
  • Ensure proper use of cloud environments and tools for production-level AI deployment.
  • Mentor junior DevOps engineers and ensure the team is up-to-date with the latest industry trends and tools in AI DevOps.

Requirements

Required Qualifications:

  • Proven experience in Python development, with a strong understanding of Python-based AI frameworks.
  • Extensive hands-on experience with Docker, Kubernetes, and container orchestration in production environments.
  • In-depth knowledge of API development, standardization, and integration.
  • Experience deploying AI models and applications into production environments.
  • Familiarity with open-source platforms and a strong understanding of the open-source community.
  • Ability to automate deployment processes using CI/CD pipelines and associated tools.
  • Strong problem-solving skills with the ability to debug, troubleshoot, and optimize AI deployments.
  • Solid understanding of cloud infrastructure and cloud-native tools (e.g., AWS, Azure, GCP) for AI systems.
  • Excellent communication and leadership skills, with the ability to mentor and guide team members.

Preferred Qualifications:

  • Experience contributing to or managing open-source projects.
  • Knowledge of modern AI/ML frameworks (e.g., TensorFlow, PyTorch).
  • Prior experience in a team lead or management role within a DevOps or AI team.
  • Familiarity with monitoring and security best practices for AI workloads.

Benefits

  • Provident Fund
  • Gym Membership
  • Leaves as per the company policy.
  • Company-paid trips
  • Easy Loan Facility for Employees
  • Yearly increment
  • Health Insurance (includes spouse and parents) (till the age of 80)

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