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Global brand, popular fullstack title, mid-level experience requirement, and Hyderabad metro increase candidate competition.
Requires deep big-data, distributed systems, cloud, and specific DB experience, reducing cross-industry transferability.
Explicit mandatory stack: 5+ years, big-data, Spark, Kafka, Kubernetes, cloud, and specific databases increases strictness.
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Own the design and implementation of scalable backend systems, APIs, and infrastructure for the Unified Segment Builder (USB) and other core products.
Lead architectural decisions, mentor engineers, and promote engineering best practices within the team.
Collaborate with global engineering, product, and UX teams to deliver high-quality, reliable data segmentation and processing solutions.
5+ years of experience writing and deploying production-grade backend code.
3+ years experience with big data technologies like Apache Spark, Hadoop/MapReduce, and Kafka.
Proven experience with container orchestration technologies such as Docker and Kubernetes in production.
Proficiency in Java, Python, Kotlin, or Go; hands-on experience with cloud platforms (GCP preferred, AWS/Azure acceptable); experience with distributed databases (e.g., SingleStore, ClickHouse).
Experienced technical leader comfortable driving architectural decisions for large-scale distributed systems and mentoring engineers.
Strong background in building scalable, reliable backend systems integrating big data and cloud services in global, cross-functional teams.
Familiarity or interest in AI-enabled applications, such as those involving large language models or generative AI, is a plus but not mandatory.