About The Position

Join CLARIO as a GenAI Platform Engineer and help build innovative AI-powered solutions that are transforming the biopharmaceutical and healthcare industries. As a key member of our GenAI team, you will play a critical role in designing, building, and maintaining the robust cloud infrastructure and platforms that power our agentic and multi-modal AI systems. This is an exciting opportunity to work with cutting-edge technologies in a collaborative, mission-driven environment.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field .
  • 2+ years of experience in platform engineering, DevOps, or cloud infrastructure roles (experience in AI/ML environments is a plus).
  • Strong hands-on expertise with AWS cloud services (Azure experience is a bonus).
  • Proficient in Kubernetes for container orchestration and cluster management.
  • Experience writing and maintaining Infrastructure as Code (IaC) with Terraform.
  • Solid background in designing, implementing, and maintaining CI/CD pipelines, preferably with GitLab CI/CD.
  • Familiarity with best practices in cloud security, monitoring, and cost optimization.
  • Scripting skills (e.g., Bash, Python) for automation and operational tasks.
  • Strong problem-solving, communication, and collaboration skills.
  • Excellent documentation skills to support team knowledge sharing.
  • Commitment to code quality, security, scalability, and performance.
  • Eagerness to learn and stay current with new technologies, AI research, and cloud engineering trends.

Nice To Haves

  • Dynatrace experience (nice to have).

Responsibilities

  • Design, implement, and manage scalable cloud infrastructure, primarily in AWS (Azure is a bonus).
  • Develop and maintain Infrastructure as Code (IaC) using Terraform to ensure repeatable and reliable deployments.
  • Build, optimize, and maintain Kubernetes clusters for container orchestration and management of AI workloads.
  • Design, implement, and maintain CI/CD pipelines, preferably with GitLab CI/CD, to support rapid and reliable software delivery.
  • Collaborate with AI engineers, software developers, scientists, and product managers to deliver high-quality, production-ready AI solutions.
  • Implement and follow best practices for cloud security, monitoring, and cost optimization.
  • Troubleshoot and resolve infrastructure and deployment issues efficiently to ensure high system availability and performance.
  • Develop automation scripts (e.g., Bash, Python) to streamline operational tasks and improve platform reliability.
  • Participate in the full software development lifecycle: design, implementation, testing, deployment, and monitoring.
  • Stay up to date with advancements in generative AI, agentic systems, cloud engineering, and DevOps practices.
  • Contribute to team discussions, code reviews, and knowledge sharing to foster a culture of continuous learning and improvement.
  • Produce clear documentation to support team collaboration and operational excellence.
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