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Metro location and broad platform skill requirements increase competition, while seniority and niche role moderate applicant density.
Core platform and cloud skills are transferable across industries, though manufacturing/domain-specific experience is preferred.
Explicit 14–18+ years and mandatory platform, cloud, security, and observability skills create rigid shortlisting filters.
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Own end-to-end platform and services architecture for Digital Manufacturing & Supply Chain, focusing on secure, scalable APIs, microservices, and event streams.
Define technical standards and strategies for API lifecycle management, cloud-native architectures, and observability, ensuring reliability and cost efficiency.
Lead cross-functional collaboration with data engineering and product teams to enable real-time insights, digital twin experiences, and industrial simulations.
14-18+ years professional experience in software engineering with focus on platform, integration, or large-scale distributed systems.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
Expertise in API development (REST, gRPC, GraphQL), microservices architecture, event streaming (Kafka/Event Hubs), cloud platforms (AWS/Azure), container orchestration (Docker/Kubernetes), and CI/CD.
Experience implementing security-first designs (OAuth2/JWT, RBAC), observability (metrics, logs, traces), and platform governance.
Senior-level engineer with deep expertise in platform and integration architecture at global scale in manufacturing or industrial domains.
Strong leadership demonstrated through mentorship, cross-team influence, and driving technical standards across complex organizations.
Experience with digital twin technologies, NVIDIA Omniverse or similar simulation platforms, and Industry 4.0 manufacturing data ecosystems.