AI Platform & DevOps Engineer

Core Duties: Manage the development and deployment of AI-related applications, ensuring a robust pipeline.

• Design, implement, and manage container orchestration systems using Docker and Kubernetes (AKS).
• Deploy and manage AI applications on Azure, ensuring scalability and reliability.
• Knowledge on Azure and opensource AI models and usage.
• Knowledge on Security tools like Nexus or Blackduck to maintain a DevSecOps mindset.
• Setup and maintain continuous integration and continuous deployment (CI/CD) pipelines using tools such as Gitlab CI or Jenkins.
• Setup observability tools like langfuse or ELK or DataDog.
• Develop and maintain scripts to automate various deployment and system tasks.
• Manage toolchain installations, including version control systems, artifact repositories, and build tools.
• Collaborate with development and operations teams to ensure a seamless and effective deployment pipeline.
• Monitor and maintain systems to ensure high availability and performance under restrictive network infrastructure.
• Stay informed about new technologies and incorporate them into existing processes when appropriate.
• Report progress, issues, and solutions clearly and concisely to management and stakeholders.

Key Requirements

• Experience: Minimum of 5-10 years of relevant experience in DevOps.
• Containerization: Expertise in Docker, including Docker Swarm setup and use.
• Orchestration Technologies: Proficient in Azure Kubernetes Service (AKS) or other similar orchestration technologies.
• Deployment: Experience with deploying applications on Azure.
• CI/CD Tools: Working knowledge and experience with Gitlab CI and Jenkins for continuous deployment.
• Operating Systems: Proficient in working with Linux operating systems.
• Tool Chain: Experience with installation and configuration of toolchains including Git, Nexus, Maven, Jenkins.
• Scripting: Skilled in writing scripts to automate tasks and workflows (e.g., Bash, Python).
• Build Tools: Experienced with build tools such as Maven, Gradle, or NPM.
• Methodologies: Familiar with Agile-Scrum methodologies.
• Communication: Fluent in English with the ability to clearly communicate complex technical information.
• Learning and Adaptability: Demonstrates a willingness to investigate and learn new technologies quickly.
• Work Under Pressure: Ability to perform effectively under pressure, especially in a restrictive network infrastructure.

Personal Attributes

• Self-Motivated: A proactive and independent worker with a strong drive to succeed.
• Quick Learner: An individual who adapts to new technologies and challenges swiftly.
  • Team Player: Works effectively within a team environment, collaborating and contributing towards common goals.