Digital Solutions Engineer - Platform Services

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

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.

• 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.

• 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.

• 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.

• 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.

• .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.
• Familiarity with cloud computing concepts and distributed application architecture.
• Strong analytical, problem-solving, and communication skills.
• Passion for building scalable software platforms that enable enterprise digital transformation.

Experience in one or more of the following areas is advantageous:

• Cloud-native application development (Azure or AWS)
• Microservices architecture
• Event-driven architecture
• Container technologies (Docker, Kubernetes)
• Enterprise Integration Patterns
• CI/CD and DevOps practices
• Identity and Access Management (IAM)
• Manufacturing or industrial software platforms

Successful candidates will demonstrate:

• Strong software engineering and systems design fundamentals.
• Passion for building reliable, scalable, and maintainable software platforms.
• Customer-focused problem solving with a commitment to delivering business value.
• Excellent collaboration across multidisciplinary engineering teams.
• Ownership, accountability, and continuous improvement mindset.
• Curiosity to explore emerging technologies and modern engineering practices.
• Ability to balance technical excellence with pragmatic business outcomes.

Additional Details

This job has a full time weekly schedule.

Our pay ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. During the hiring process, a recruiter can share more about the specific pay range for a preferred location. Pay and benefit information by country are available at: https://careers.agilent.com/locations

Agilent Technologies Inc. is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other protected categories under all applicable laws.