C

Cisco

Makes networking gear and security software

Data Engineering Technical Leader - CX AI

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeSan Jose, CA, USA

About the Job

Requirements

  • A Bachelor's degree with 8 or more years of related experience, or a Master's degree with 6 or more years of related experience.
  • Experience using Python and SQL for data engineering, automation, and transformation, plus backend development experience in Go, Java, Node.js, Rust, or similar languages.
  • Experience designing REST or GraphQL APIs and working with relational databases such as PostgreSQL or MySQL and/or NoSQL databases.
  • Experience implementing distributed messaging and streaming systems with Apache Kafka, AWS SQS/SNS, or comparable technologies.
  • Experience building and optimizing data platforms with modern lakehouse or warehouse technologies such as Snowflake, Databricks, BigQuery, AWS Redshift, or similar.
  • Experience building, maintaining, and troubleshooting automated CI/CD pipelines using Jenkins, GitHub Actions, or similar tools, and containerized deployments.

Responsibilities

  • Architect, build, and optimize scalable cloud-native backend services and data platforms for high-throughput ingestion, real-time analytics, and downstream AI/ML consumption.
  • Design robust batch and streaming ETL/ELT pipelines, implementing event-driven data flows, Change Data Capture (CDC), and modern lakehouse architectures such as Snowflake and Databricks.
  • Establish standards for data modeling, semantic layers, schema governance, distributed tracing, and real-time telemetry and alerting to ensure data integrity and reliability.
  • Define high-performance REST or GraphQL API contracts and backend microservices that expose trusted datasets and metrics for self-service reporting and AI applications.
  • Drive CI/CD automation, conduct code and design reviews, mentor senior and mid-level data engineers, and coordinate technical dependencies across platform, security, and product stakeholders.

Desired Qualifications

  • Expertise in large-scale data ingestion architectures, Change Data Capture (CDC), and multi-source ETL/ELT across APIs, databases, event streams, and object storage such as S3 or GCS.
  • Experience structuring semantic models and feature stores to support data science, predictive modeling, and generative AI/LLM applications.
  • Experience implementing end-to-end data observability, lineage tracking, and monitoring frameworks such as OpenTelemetry, Datadog, and Prometheus.
  • Familiarity with AI-assisted development tools such as Copilot and Cursor, and AIOps practices to improve development velocity and reliability.
  • A track record of technical mentorship, driving architectural consensus across matrixed teams, and translating business goals into robust engineering roadmaps.

About the Company

Cisco

Makes networking gear and security software

Cisco makes the switches and routers that connect offices, data centers, and cloud services, and it also sells cybersecurity tools and Webex video meetings to businesses and governments. It was one of the first companies to sell routers that let different kinds of computer networks exchange data, and in 2000 it briefly became the world's most valuable company. Customers run its network gear, from Wi-Fi access points to AI data center systems, with Cisco software that sets up and secures the network, while its Splunk unit searches computer logs to catch outages and attacks. Cisco earns money from hardware sales, software subscriptions, and support contracts. It was founded in 1984 and is based in San Jose, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Jose, CA
Founded
1984

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