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Strong employer brand, mid-level generalist infra title, and broad cloud/DevOps skillset drive high competition.
Core cloud and DevOps skills are transferable, though agentic AI platform experience adds moderate domain specificity.
Explicit 5+ years plus mandatory cloud, IaC, Kubernetes, CI/CD, and backend skills makes shortlisting highly strict.
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Own architecture, development and maintenance of AI infrastructure and platform enabling organization-wide agentic AI adoption.
Lead technical decisions, ensure high availability, reliability and scalability of systems throughout the software development lifecycle.
Collaborate cross-functionally with product managers and tech strategists to deliver impactful engineering solutions and mentor junior engineers to elevate team standards.
5+ years in software engineering with strong backend and cloud infrastructure experience.
1+ years building production-grade agentic AI solutions.
Proficiency in backend languages (Python, Java, Node.js, or Go), Docker, Kubernetes, Kafka, Terraform, CI/CD tools (GitHub Actions or Jenkins).
Deep understanding of cloud platforms (AWS, GCP, or Azure) including managed and self-hosted services.
Experienced in leading complex AI infrastructure projects with minimal supervision and debugging large-scale production issues.
Comfortable driving technical vision in fast-paced, ambiguous environments with cross-functional collaboration.
Strong focus on engineering quality, scalability, and developer experience within AI-native operating models.