We seek passionate Senior DevOps Engineer to build automation to enable machine learning engineers to continuously deliver predictive analytics for forecasting, personalization, and inventory optimization. You shall be comfortable with the B2B work model and working in the US time zone to adjust to the client’s team.

• Developing, maintaining, and optimizing CI/CD pipelines using Jenkins to automate the software delivery
• Utilizing Docker for containerizing applications and Kubernetes for orchestration to manage, deploy, and scale applications across different environments
• Managing and Optimizing Cloud Infrastructure
• Taking end-to-end ownership of projects, from conception to operationalization, demonstrating an understanding of the full software development lifecycle
• Contributing to core advanced analytics machine learning platforms and tools to enable both prediction and optimization model development
• Working with the Artificial Intelligence and Machine Learning team
• Providing technical vision and guidance to your teammate

• At least 5 years of professional experience in DevOps, software engineering, data engineering, or related field
• Expertise in building CI/CD infrastructure (preferably Jenkins)
• Practical knowledge of Docker, Kubernetes, and related tools and systems
• Extensive experience with AWS components and services, particularly, IAM, ECS/EKS, EMR, S3, and Lambda/Serverless
• Experience with technologies like ArgoCD would be an advantage
• Familiar with principles of solution architecture and technical design
• Effective communication skills (with team members, the business, and in code)

Job no. 240909-S1CMJ