Data Engineer -Software Engineer 3

About the Role: 

• We are seeking a highly capable Senior Software Engineer – Platform & Services to design, build, and optimize data-as-a-service capabilities within our Digital Manufacturing & Supply Chain Platform. 
• In this role, you will focus on delivering secure, scalable, and high-performance APIs and microservices that expose curated data from enterprise systems, IoT devices, and analytical models to various consumers—including applications, dashboards, and simulation environments. 
• You will work closely with Data Engineering and platform teams to transform raw and processed datasets into reliable, observable, and production-ready services, enabling real-time insights, predictive analytics, and digital twin workflows. 

Key Responsibilities 

• Develop and enhance REST/gRPC APIs, GraphQL endpoints, and event-driven microservices for real-time and batch data consumption. 
• Implement service-oriented components that expose curated datasets from enterprise systems and IoT platforms. 
• Partner with Data Engineering to understand data pipelines, data contracts, and governance requirements. 
• Implement security controls including authentication, authorization, and role-based access mechanisms. 
• Optimize microservices for scalability, high availability, and low-latency performance, supporting use cases like predictive maintenance and dynamic scheduling. 
• Contribute to API lifecycle management—including versioning, monitoring, observability, and documentation. 
• Deploy and manage services using Docker, Kubernetes, and cloud-native platforms (AWS/Azure). 
• Build and maintain CI/CD pipelines, infrastructure-as-code templates, and automated deployment workflows. 
• Collaborate with architects and and product teams to ensure service designs align with platform strategy. 
• Follow best practices for code quality, testing, DevOps automation, and platform security. 

Required Qualifications 

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. 
• 5–8 years of professional software engineering experience. 
• Strong hands-on experience with API development (REST, gRPC, GraphQL). 
• Solid knowledge of microservices architecture and distributed systems. 
• Proficiency in backend programming languages such as Java with Spring Boot, Python 
• Practical experience with cloud platforms (AWS/Azure) and container orchestration (Docker/Kubernetes). 
• Familiarity with messaging systems like Kafka or Event Hubs. 
• Experience developing and operating CI/CD pipelines (GitHub Actions)and cloud-native deployments. 
• Strong problem-solving, communication, and cross-functional collaboration skills. 
• Experience working with Azure DevOps (AzDO) boards for backlog management in Agile environments. 

Preferred Qualifications 

• Experience with API gateways, developer portals, and usage analytics. 
• Knowledge of OAuth2, JWT, and enterprise-grade security standards. 
• Familiarity with data virtualization, semantic layers, or enterprise analytics platforms. 
• Experience using observability tools such as Prometheus, Grafana, OpenTelemetry. 
• Understanding of data integration patterns and orchestration frameworks. 
• Exposure to OpenUSD or Omniverse for simulation-driven data services. 
• Participation in open-source projects or publications in platform engineering or Industry 4.0 domains. 
• Experienced in using AI agents to accelerate API and Platform Services development