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About the role
Design, architect, and build scalable, robust, and well-tested systems ranging from low-latency REST APIs to real-time streaming pipelines and large-scale batch processing systems . Take ownership of complex engineering problems , design appropriate technical solutions, and deliver them independently with minimal oversight . Work with a broad stack of technologies including Apache Beam, Apache Spark, Kafka, Kubernetes, Flink , and Spring Boot . Build resilient, efficient, and maintainable services deployed across Google Cloud Platform (GCP) , leveraging tools like Pub/Sub, Dataflow, Dataproc , etc. Review code and provide technical guidance to engineers, ensuring clean architecture and high-quality standards. Partner closely with Product and Engineering leadership to shape platform direction, identify technical opportunities, and influence roadmaps . Mentor junior and mid-level engineers , providing support in best practices, architecture decisions, and personal growth. Promote and uphold a culture of engineering excellence , encouraging technical learning, scalable design thinking, and collaborative development. Continuously improve development processes, with a strong focus on CI/CD, testing automation , and system observability.
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