Senior AWS DevOps & Cloud Engineer
Merck KGaA (company site, opens in a new tab)10+ yrsBengaluruOn-siteDirect career pageEst. 35–60 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design, architecture, and delivery of enterprise-scale AI, Generative AI, and cloud-native solutions.
- Manage and mentor multidisciplinary technical teams including AI, Python, ML, Data, MLOps, Cloud Engineers, and Solution Architects.
- Own technology strategy, engineering standards, stakeholder engagement, and end-to-end delivery of production-grade AI platforms on AWS or other clouds.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, AI, ML, Data Science, Software Engineering, or related discipline.
- Minimum 10 years hands-on Python software engineering and enterprise application development experience.
- At least 5 years experience delivering production-grade AI/ML and Generative AI solutions; 3 years architecting Retrieval-Augmented Generation (RAG), Agentic AI, or enterprise AI platforms.
- Proven leadership experience as Technical Lead, AI Engineering Manager, Principal Engineer, or Solution Architect, with experience delivering enterprise AI platforms on AWS or major cloud providers.
Ideal Candidate Profile
- Experienced in driving AI innovation, reusable frameworks, and large-scale Agile delivery with strong stakeholder management and governance skills.
- Technical leader skilled in engineering best practices across AI, software engineering, DevOps, cloud, and MLOps.
- Comfortable managing and scaling cross-functional teams to deliver scalable, secure, high-performance AI solutions leveraging modern AI/ML frameworks and cloud-native technologies.