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Tier-1 employer, metro Hyderabad, mid-level (5+) management experience, and broad platform requirements increase competition.
Requires specialized platform, cloud, Kubernetes, and developer tools experience, limiting cross-industry portability.
Explicit 5+ years management plus mandatory cloud, Kubernetes, and platform experience enforces strict screening.
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Lead and own the Workspace Engineering India team through architectural transformation and AI-first development adoption, delivering critical platform capabilities used by all Salesforce Core engineers.
Drive AI integration and enablement initiatives across developer workflows, ensuring rigorous validation of AI-generated code, architectures, and documentation.
Partner with product, platform, and cross-functional teams to define and execute roadmap for Salesforce Workspaces and related tools, managing delivery for 1500+ developers and evolving platform capabilities.
5+ years engineering management experience in fast-paced, high-growth environment.
Proven leadership of distributed platform or developer tools teams with end-to-end ownership.
Strong knowledge of cloud infrastructure (AWS, GCP) and containerization (Docker, Kubernetes/FKP).
Hands-on experience or strong working knowledge of AI-native development tools (LLM integrations, agent orchestration, MCP frameworks).
Experienced senior engineering leader combining technical authority with people-first coaching to foster AI-first engineering culture.
Strategic thinker able to manage cross-timezone distributed teams and communicate complex technical decisions to diverse stakeholders.
Domain expertise in cloud-based platform engineering and AI-powered developer tools, comfortable shaping next-gen developer experiences in large-scale environments.