SAP Java Senior Software Engineer - Cloud-Native Microservices & Observability 

Thailand, Bangkok, Bangkok 

712158073

Responsibilities:

• Design and develop Micro services using Java, RESTful APIs and messaging frameworks such as Apache Kafka.
• Design and Develop UI based on SAP UI5/Fiori is a plus
• Design and Develop Observability Framework for Customer Insights
• Build and maintain scalable data processing and ETL pipelines that support real-time and batch data flows.
• Experience with Databricks is an advantage.
• Accelerate the App2App integration roadmap by identifying reusable patterns, driving platform automation and establishing best practices.
• Collaborate with cross-functional teams to enable secure, reliable and performant communication across SAP applications.
• Build and maintain distributed data processing pipelines, supporting large-scale data ingestion, transformation and routing.
• Work closely with DevOps to define and improve CI/CD pipelines, monitoring and deployment strategies using modern GitOps practices.
• Guide cloud-native secure deployment of services on SAP BTP and major Hyperscaler (AWS, Azure, GCP).
• Collaborate with SAP’s broader Data Platform efforts including Datasphere, SAP Analytics Cloud and BDC runtime architecture.

• Ensure adherence to best practices in microservices architecture, including service discovery, load balancing, and fault tolerance.
• Stay updated with the latest industry trends and technologies to continuously improve the development process

What you bring:

• 8+ years of hands-on experience in backend development using Java, with strong object-oriented design and integration patterns.
• Hands-on experience building ETL pipelines and working with large-scale data processing frameworks.
• Exposure to Log Aggregator Tools like Splunk, ELK , etc.
• Experience or experimentation with tools such as Databricks, Apache Spark or other cloud-native data platforms is highly advantageous.
• Familiarity with SAP Business Technology Platform (BTP), SAP Datasphere, SAP Analytics Cloud or HANA is highly desirable.
• Design CI/CD pipelines, containerization (Docker), Kubernetes and DevOps best practices.
• Working knowledge of Hyperscaler environments such as AWS, Azure or GCP.
• Passionate about clean code, automated testing, performance tuning and continuous improvement.

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We win with inclusion

Successful candidates might be required to undergo a background verification with an external vendor.

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