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Senior principal role with metro location and common platform skills yields moderate competition.
Core platform/backend skills transfer across industries, but industrial digital-twin domain adds moderate specialization.
Explicit 14+ years requirement plus mandatory platform, security, and leadership skills indicates high selectivity.
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Define and own end-to-end platform & services architecture for Digital Manufacturing & Supply Chain Platform focusing on API, microservices, and event-driven patterns.
Set technical strategy and standards for scalable, secure, high-performance service layers exposing curated enterprise and IoT data to global downstream applications and analytics.
Lead engineering design, cloud-native delivery (AWS/Azure, Kubernetes), security compliance, and cross-team collaboration enabling real-time insights, predictive analytics, and digital twin industrial simulations.
Bachelor's or Master's degree in Computer Science, Engineering, or related field.
14–18+ years of professional software engineering experience, including platform, integration, or large-scale distributed systems roles.
Proficiency in API development (REST, gRPC, GraphQL), microservices, event streaming (Kafka/Event Hubs), cloud platforms (AWS/Azure), container orchestration (Docker/Kubernetes), and CI/CD.
Experience with security-first designs (OAuth2, JWT, RBAC) and observability practices (metrics, logs, traces) for production platforms.
Experienced leader with proven ability to influence architecture and execution across multiple engineering teams in large-scale digital manufacturing platforms.
Strong domain knowledge in platform integration for manufacturing, digital twin, and IoT data ecosystems with real-time and batch data service needs.
Expertise in cloud-native microservices design, API lifecycle management, security governance, and operational observability at scale.