The Webex Engineering Analytics team is responsible for developing and operating pipelines for Big Data Analytics built on state-of-the-art big data technologies that both solve complex data driven development problems for Webex engineering and enable critical business insights for Webex product.
We are looking for a hands-on Software Engineer to join a high-impact data engineering team with a focus on developing data products and features by leveraging state-of-the-art big data technologies.
Your Impact
Build and operate Kafka-based streaming applications, including ingestion, filtering, enrichment, and replication use cases.
Develop data processing jobs using Apache Spark and/or Apache Flink, following established patterns and platform guidelines.
Build high-performant, highly scalable, complex, and distributed systems – end to end.
Share technical solutions and product ideas with the broader team through design review, code review, proof-of-concepts, and show-and-tell sessions.
Participate and contribute ideas to our technology, algorithms, and products.
Work closely with development, test, and various cross-technology teams to design development strategies and plans, followed by designing and writing code reflecting product requirements and functionality.
Minimum Qualifications
At least 4-8 years of experience in developing and maintaining enterprise grade applications.
Experience in building large, asynchronous task systems, scalable distributed systems with a good understanding of microservices architecture.
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Strong experience in Java, Scala, Golang or other modern programming languages/technologies.
Experience working with Kafka and scaling for high volume workloads.
Strong SQL skills and understanding of data modeling for analytical workloads
Adept in using AI tools like Copilot, Cursor, Codex, etc., in design/development and testing.
Solid foundation in data structures, algorithms and object-oriented design
Preferred Qualifications
Practical experience with Apache Spark and Apache Flink.
Practical experience with query engines like Trino/Presto.
Hands-on experience with real-time analytics stores like Apache Pinot/Clickhouse for low-latency analytical queries.
Experience with Docker or other configuration management tools.
Strong experience with public and private cloud providers like AWS, OpenStack.
Experience with orchestration and management tools: Kubernetes, Docker, Helm.
Why Cisco?
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
We are Cisco, and our power starts with you.
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