Responsibilities:
· Develop Micro services using Java, RESTful APIs and messaging frameworks such as Apache Kafka.
· Develop UI based on SAP UI5/Fiori is a plus
· 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.
· Develop Observability Framework for Customer Insights
· Work closely with DevOps to define and improve CI/CD pipelines, monitoring and deployment strategies using modern GitOps practices.
· Contribute to the platform's reliability, scalability and security, implementing automated testing, logging and telemetry.
· Support cloud-native deployment of services on SAP BTP and major Hyperscaler (AWS, Azure, GCP).
· Engage in 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.
Qualifications:
· Bachelor’s or Master’s degree in Computer Science, Software Engineering or a related field.
· 5+ years of hands-on experience in backend development using Java, with strong object-oriented design and integration patterns.
· Exposure to Log Aggregator Tools like Splunk, ELK , etc
· Proven experience with Apache Kafka or similar messaging systems in distributed environments.
· Experience with SAP Business Technology Platform (BTP), SAP Datasphere, SAP Analytics Cloud or HANA is highly desirable.
· Familiarity with 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.
· Strong communication skills and ability to collaborate with global teams across time zones.
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