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Strong brand, mid-level SDE title, metro location, and broad cloud/streaming skills drive high competition.
Core backend, streaming, and cloud skills transfer well but regulatory and finance context increases domain sensitivity.
Requires 3+ years, distributed systems experience, cloud and streaming familiarity, leading to moderate shortlisting strictness.
Design, develop, test, and maintain scalable, resilient cloud-native services for Global Tax and Unified Regulatory Platforms processing real-time travel industry transactions.
Build and operate streaming data and real-time processing systems using Kafka, Kubernetes, Apache Spark, and Flink, ensuring performance, security, scalability, and financial-grade accuracy.
Integrate AI-powered capabilities such as intelligent document processing and automated compliance checks, maintain model inference in production for regulatory and financial workflows with high availability and low latency.
Bachelor's degree in Computer Science or related technical field, or equivalent professional experience.
3+ years of relevant software engineering experience, preferably with Java.
Experience with cloud environments and technologies like AWS, Kubernetes/containerization, Apache Spark/streaming preferred.
Proficiency with CI/CD pipelines and monitoring tools such as DataDog or Splunk.
Experienced in designing and operating highly available, fault-tolerant distributed systems at scale in cloud environments.
Knowledgeable or hands-on with AI/ML production engineering concepts, especially LLMs and Retrieval-Augmented Generation (RAG) pipelines.
Able to work effectively in small agile teams, mentor peers, and engage in continuous learning around AI fluency and regulatory compliance contexts.