AI Platform DevOps Engineer

Overview

emagine is seeking an experienced AI Platform DevOps Engineer with 8+ years of experience to join our dynamic team. The ideal candidate will possess extensive knowledge and experience in DevOps practices and technologies, particularly in Docker, Kubernetes, and Azure. This role involves managing the development and deployment of AI-related applications and maintaining a robust CI/CD pipeline. The successful candidate will thrive in a challenging environment, possess first-rate problem-solving abilities, and effectively communicate with stakeholders at all levels. Please note: The candidate should work in the CET Time zone, which is mandatory.

Key Responsibilities

• Design, implement, and manage container orchestration systems using Docker and Kubernetes (AKS).
• Deploy and manage AI applications on Azure, ensuring scalability and reliability.
• Possess knowledge of Azure and open-source AI models and their usage.
• Apply a DevSecOps mindset with knowledge of security tools like Nexus or Blackduck.
• Setup and maintain continuous integration and continuous deployment (CI/CD) pipelines using tools such as Gitlab CI or Jenkins.
• Setup observability tools like Langfuse, 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.

Qualifications

• Experience: Minimum of 5-10 years of relevant experience in DevOps.
• Containerization: Expertise in Docker, 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.

Key skills/competency

• DevOps
• AI Platform
• Docker
• Kubernetes (AKS)
• Azure
• CI/CD
• Gitlab CI
• Jenkins
• Automation
• Scripting (Bash, Python)