Digital Solutions Engineer – Platform Services

Job Description Build the enterprise platforms that power intelligent operations. Join Agilent's Global OT & AI Engineering organization and help develop the cloud-native platforms that connect enterprise systems, manufacturing operations, and intelligent digital solutions across Agilent's global operations. As a Digital Solutions Engineer – Platform Services, you will design, develop, and maintain scalable backend services, enterprise APIs, integration platforms, and cloud-native applications that enable secure, reliable, and real-time information exchange across Manufacturing, Supply Chain, Procurement, Logistics, Quality, Engineering, and Operational Excellence. Working closely with Application Experience Engineers, Data Engineers, AI & Data Scientists, Smart Factory Engineers, and business stakeholders, you will develop the enterprise services that power digital products, operational analytics, AI applications, and connected manufacturing systems. We welcome candidates across multiple career stages. Responsibilities and technical ownership will be aligned with your experience, expertise, and demonstrated capabilities. About Global OT & AI Engineering Global OT & AI Engineering develops the digital platforms that power intelligent operations across Agilent's global manufacturing network. Our organization combines software engineering, enterprise data platforms, Artificial Intelligence, industrial automation, cloud technologies, and Smart Factory solutions to build scalable digital capabilities that improve operational visibility, accelerate decision-making, and enable continuous improvement across global operations. Our mission is to build the digital operating system for intelligent manufacturing. Our portfolio includes: Global Operations Control Tower Enterprise Data Platform (GOLake) AI & Decision Intelligence Platform Smart Factory Applications Manufacturing Knowledge Platform Enterprise KPI Platform Digital Twin Solutions Manufacturing Data Exchange Platform AI-powered Digital Coworkers About the Role Modern enterprise software depends on reliable, scalable, and secure platform services that connect business applications, operational technologies, enterprise systems, and cloud services into a unified digital ecosystem. As a Digital Solutions Engineer – Platform Services, you will build the backend capabilities that power Agilent's digital products. From enterprise APIs and integration services to cloud-native microservices and event-driven architectures, your work will provide the foundation that enables seamless communication between applications, data platforms, AI services, and manufacturing systems. You will collaborate with multidisciplinary engineering teams to develop reusable platform capabilities that accelerate software delivery, improve system reliability, and support Agilent's long-term digital transformation strategy. Key Responsibilities Platform Services Development Design, develop, and maintain scalable backend services that support enterprise digital products. Build reusable APIs, microservices, and shared platform capabilities that accelerate software development across multiple applications. Develop secure and maintainable services that enable reliable communication between enterprise systems and operational platforms. Ensure platform services are scalable, resilient, and designed for long-term maintainability. Enterprise Integration Develop integration services connecting ERP, MES, PLM, Quality Systems, AI platforms, enterprise applications, and cloud services. Design API-first solutions that promote reuse and simplify system integration. Implement event-driven and asynchronous communication patterns to improve scalability and responsiveness. Enable secure and efficient information exchange across enterprise and manufacturing environments. Cloud-Native Engineering Develop cloud-native applications and services using modern architectural patterns. Support containerized deployments, automated testing, and continuous integration/continuous delivery (CI/CD). Optimize platform performance, reliability, scalability, and operational resilience. Implement monitoring, logging, and observability capabilities that improve platform health and operational support. Security & Reliability Apply secure software development practices throughout the application lifecycle. Implement authentication, authorization, and API security standards. Support disaster recovery, fault tolerance, and high-availability strategies. Continuously improve platform performance through proactive monitoring and optimization. Cross-functional Collaboration Partner with Application Experience Engineers to deliver end-to-end enterprise applications. Collaborate with Data Engineers to expose trusted enterprise data through secure services. Work with AI & Data Scientists to integrate AI capabilities into enterprise platforms. Support Smart Factory Engineers by enabling secure integration between operational technologies and enterprise applications. Participate in architecture reviews, code reviews, and Agile delivery activities. Technology Environment You will have opportunities to work with modern enterprise technologies including: Backend Development .NET Python Node.js (preferred) API & Integration REST APIs GraphQL (preferred) gRPC (preferred) OAuth 2.0 / OpenID Connect Cloud Platforms Microsoft Azure AWS Containers & DevOps Docker Kubernetes Azure DevOps GitHub Actions Messaging & Event Streaming Apache Kafka Azure Event Hub RabbitMQ (preferred) Databases SQL Server PostgreSQL MongoDB Redis (preferred) Monitoring & Observability Azure Monitor Application Insights Grafana Prometheus (preferred) Qualifications We welcome candidates across multiple career stages. Responsibilities and technical ownership will be aligned with your experience and demonstrated capability. You should have: Bachelor's or Master's degree in Computer Science, Software Engineering, Information Technology, or a related discipline. Experience developing backend applications, APIs, or enterprise software platforms. Proficiency in one or more modern programming languages such as C#, Python, or Java. Understanding of API development, system integration, and relational databases.