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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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
