DevOps Team Lead

6 Hours ago • 6-8 Years

About the job

SummaryBy Outscal

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)
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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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