Lead Cloud Software Engineer - 11625

Senior Platform Engineering Leadership: 8+ years of hands-on platform engineering experience with 3+ years in technical leadership roles, including experience managing complex cloud infrastructure at enterprise scale

Advanced Cloud Architecture Expertise: Deep expertise in cloud-native architectures, multi-cloud strategies, and advanced services across AWS or GCP, with proven experience designing systems that handle millions of transactions.

Enterprise Platform Design: Proven track record designing and implementing large-scale platform solutions, including microservices architectures, container orchestration, and distributed systems patterns.

Advanced Automation and Programming: Expert-level programming skills in multiple languages (Python, Go, Java, etc.) with extensive experience building sophisticated automation frameworks and platform tools

Strategic CI/CD and DevOps: Deep expertise in enterprise CI/CD design and DevOps transformation initiatives, with experience implementing these practices across large engineering organizations.

Architectural Decision Making: Proven ability to make complex technical trade-offs, evaluate emerging technologies, and drive architectural decisions that balance current needs with long-term scalability

Enterprise AI platform infrastructure development experience

Experience building enterprise grade,scalable, cost-efficient, secure AI/ML platforms with a focus on resiliency, automation, observability.

Deployment and Life cycle Management of LLM & Embedding Models (OpenAI, AWS Bedrock, Amazon SageMaker) and Vector Databases like LanceDB

Exposure to evaluation of new products and technologies like RAG, MCP servers, AI Agents, Agentic Workflows,LangChain etc.

Manage AWS core & AI /GenAI services (S3, IAM, EKS, Bedrock, etc),Expert in IaC (Terraform).

Containerization and Orchestration: Deep knowledge of Docker and Kubernetes (especially GKE or EKS) for scaling inference services, Build, deploy workloads.

A leader who thrives in fast-moving environments, motivates teams, and embraces innovation.

Strong communication skills across geographies.

BS/MS in Computer Science or equivalent experience.