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Senior, niche platform engineering role with Kafka, APIs, and cloud; moderate brand reduces applicant density.
Requires deep platform, API, and industrial integration expertise, limiting cross-industry transferability.
Explicit 14–18+ years and mandatory platform, cloud, Kafka, Kubernetes, and security requirements.
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Own and define the end-to-end platform and services architecture including APIs, microservices, and event-driven integrations for a global Digital Manufacturing & Supply Chain Platform.
Set technical strategy and standards for API lifecycle management, cloud-native architectures, security, compliance, and observability across the platform.
Lead cross-functional collaboration and mentor engineering teams to deliver scalable, secure, and high-performance data-as-a-service solutions supporting real-time insights, predictive analytics, and digital twin use cases.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
14–18+ years of professional software engineering experience with significant exposure to platform, integration, or large-scale distributed systems.
Strong skills in API development (REST, gRPC, GraphQL), microservices architecture, event streaming (Kafka/Event Hubs), cloud platforms (AWS/Azure), container orchestration (Docker/Kubernetes), and CI/CD.
Experienced in security-first designs (OAuth2/JWT, RBAC) and observability practices (metrics, logs, traces) for production platforms.
Senior individual contributor with deep expertise in designing and operationalizing enterprise-scale APIs and microservices within complex industrial or manufacturing digital platforms.
Experienced in aligning platform architecture with business outcomes and leading cross-team architectural decisions involving data governance, security, and real-time data delivery.
Comfortable operating in cloud-native environments and collaborating closely with data engineering and product teams on downstream use cases including digital twin and Industry 4.0 scenarios.