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Popular DevOps lead role with broad AI/cloud skillset increases candidate competition.
Requires specialized AI-agent, multi-cloud, Kubernetes, and vector DB expertise, reducing cross-industry transferability.
Explicit 6–10 years plus mandatory cloud, Kubernetes, Python, and LLM platform skills enforce strict filtering.
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Own the technical vision and key decisions for AI-driven platform services integrating LLM agents, data pipelines, and multi-cloud components.
Lead architectural design, epic-level technical planning, and oversee platform reliability, performance, and security.
Guide cross-functional teams through code reviews, best practices, and stakeholder communication to ensure scalable, high-quality delivery.
6-10 years total software engineering experience with at least 2 years in a technical lead role.
Strong proficiency in Python (FastAPI, LangGraph/LangChain) and multi-cloud environments (AWS, Azure, GCP).
Hands-on experience with AI/ML platforms including LLM orchestration, RAG pipelines, agent frameworks, and vector databases (Milvus, Chroma).
Expertise in Kubernetes, Helm, Docker, CI/CD, Terraform or equivalent infrastructure-as-code, and analytical databases like ClickHouse and MongoDB.
Experienced technical leader with strong architectural thinking for complex cloud-native AI/ML platform services.
Comfortable owning end-to-end multi-agent integrations, platform scalability, and reliability in a multi-cloud environment.
Proficient in driving cross-team collaboration, technical mentorship, and structured epic-level planning for enterprise AI platform delivery.