Senior Techincal Leader - Software Engineering | Java/Kafka | Distributed Systems | Spark/Flink | Data Platform | DevOps/SRE | 14+ Years

Overview

Lead technical direction for the Webex Data Analytics Platform, a big data platform that enables teams across Webex to build analytics and data products, guiding architecture and delivery across data engineering and application development.

What you'll do

• Set technical direction for scalable data platforms and software systems.
• Turn product needs into architecture, data products, and dependable APIs.
• Lead Kafka streaming and distributed services for ingestion, enrichment, replication, and asynchronous processing.
• Lead Spark and/or Flink workloads and manage analytical datasets with Apache Iceberg.
• Improve performance, reliability, scalability, and cost across workloads.
• Set engineering standards through architecture and code reviews, prototypes, and technical guidance.
• Partner across product and engineering teams, mentor engineers, and guide delivery.

What you'll need

• 15+ years in data engineering, software development or cloud engineering for enterprise or large-scale systems.
• Strong Java, Scala, Python, Go, or equivalent skills; writes maintainable, high-quality code.
• Experience operating and scaling systems in public cloud such as AWS or GCP.
• Strong foundation in algorithms, object-oriented design, service-oriented and microservices architectures, distributed systems and cloud native architecture.
• Hands-on experience with Kafka and scalable asynchronous systems.
• Practical experience with Spark and/or Flink, Trino or Presto, and Apache Iceberg.
• Strong SQL and analytical data modeling skills; tunes systems for scale and reliability.
• Technical leadership in architecture, reviews, cross-team work, and mentoring.

Nice to have

• Experience with real-time stores such as Apache Pinot or ClickHouse.
• Experience with Spring or Spring Boot and RESTful APIs.
• Familiarity with Kubernetes, Docker and 12-Factor application principles.
• Experience with Airflow or DolphinScheduler.
• Familiarity with DataHub or Apache Amoro.
• Uses AI development tools such as Copilot, Cursor, or Codex.