DevOps Engineer

2 weeks ago

Bengaluru, India Archimedes AI Technologies Inc Full time

Responsibilities :

  • Design, implement, and maintain CI/CD pipelines for automated build, test, and deployment of AI models and applications.
  • Automate infrastructure provisioning and configuration management using tools like Terraform, Ansible, or similar.
  • Collaborate with software developers to optimize application performance and resource utilization in cloud environments.
  • Monitor, troubleshoot, and optimize system performance, reliability, and scalability.
  • Implement and maintain container orchestration platforms such as Kubernetes for deploying and managing AI workloads.
  • Manage and configure cloud services and resources on platforms like AWS, Azure, or Google Cloud Platform.
  • Implement security best practices and compliance requirements for AI infrastructure and applications.
  • Work closely with the research and development teams to deploy and scale machine learning models and algorithms.
  • Participate in on-call rotation and respond to incidents related to production systems.
  • Continuously research and evaluate new technologies and tools to improve the efficiency and effectiveness of our DevOps processes.
  • Document infrastructure configurations, processes, and procedures to ensure knowledge sharing and maintainability.
Skills and Qualifications :
  • Bachelor's degree in Computer Science, Engineering, or related field.
  • 4+ years of experience working in a DevOps or similar role.
  • Strong understanding of software development lifecycle and CI/CD concepts.
  • Proficiency in scripting languages such as Python, Bash, or PowerShell.
  • Experience with configuration management tools like Terraform, Ansible, Chef, or Puppet.
  • Hands-on experience with containerization technologies such as Docker and container orchestration platforms like Kubernetes.
  • Familiarity with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
  • Knowledge of networking, security, and compliance principles in cloud environments.
  • Experience with monitoring and logging tools such as Prometheus, Grafana, ELK stack, or similar.
  • Strong problem-solving skills and ability to troubleshoot complex issues in distributed systems.
  • Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
  • Experience with machine learning frameworks and tools is a plus.

(ref:hirist.tech)

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