Meet the Team

Webex Data Analytics Platform (WAP) develops the big data platform that enables teams across Webex to build analytics and data products.

 

We are looking for a hands-on senior technical leader to shape the data platform and software systems built on it, guiding architecture and delivery across data engineering and application development.

 

Your Impact

• 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.

Minimum Qualifications

• 15+ years in either 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 and experience operating/scaling systems in public cloud like AWS, 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.

Preferred Qualifications

• 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.

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. 

Disclaimer

To ensure that we hire the best talent in the right way, we follow a strict hiring process and recently, Cisco has been made aware of fraudulent recruiters claiming to be from the company. Please be advised that any communication from Cisco about careers will:

• be in direct response to an application you have submitted through the company career site
• begin with screening or an interview
• originate from a Cisco email address, and
• be conducted across email, phone, or WebEx

 

Cisco will never make a job offer without conducting an interview process or ask you for money in any way. If you have been requested to apply for a role or have received an offer from a site other than https://careers.cisco.com or cisco.wd5.myworkday.com, do not provide any personal identifying information, including your Aadhaar or other personal identifying number, birth certificate, banking information, driver's license, or passport.

If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams.