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Tier-1 brand, general 'Software Engineer' title, and metro hybrid location increase competition among experienced candidates.
Specialized big-data streaming and cloud skills moderately restrict cross-industry portability.
Explicit 8–12 years plus mandatory big-data, streaming, cloud, and container/Kubernetes skills.
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Build and operate Kafka-based streaming applications for data ingestion, filtering, enrichment, and replication at scale.
Develop and maintain complex, scalable, and distributed data processing jobs using Apache Spark and/or Apache Flink.
Collaborate with cross-technology teams to design, develop, review, and share technical solutions and data products impacting Webex engineering analytics.
8-12 years of experience developing and maintaining enterprise-grade applications.
Strong experience building large asynchronous task and scalable distributed systems with microservices architecture.
Proficiency in Java, Scala, or Golang and experience working with Kafka for high volume workloads.
Strong SQL skills and understanding of data modeling for analytical workloads; adept with AI tools such as Copilot, Cursor, or Codex.
Experienced in building and operating large-scale data streaming systems and distributed analytics platforms.
Skilled in working within multi-disciplinary development teams on end-to-end data product delivery in cloud or hybrid environments.
Demonstrates practical knowledge of big data technologies like Apache Spark, Flink, real-time analytics stores (e.g., Pinot, Clickhouse), and cloud-native tooling (Kubernetes, Docker).