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Singapore, Singapore
Hybrid
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)
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.
Preferred Qualifications
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
Leadership Competencies
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/locationsAgilent 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.