Software Engineer

Meet the Team
We're a high-impact, fast-moving data fabric team within the CX Platform at Cisco, serving as the core of our enterprise data platform. Our team blends data engineering with a strong focus on scalability, infrastructure, and data-intensive workflows. You'll be working alongside seasoned engineers with deep expertise in modern data pipelines, cloud-native architectures, AI/ML integration, and large-scale distributed systems – offering exceptional opportunities to learn cutting-edge technologies and advance in a rapidly evolving field.

Your Impact
As a Software Engineer in the team, you will contribute to the design, development, and operation of our comprehensive data fabric – an enterprise-grade system that enables data-driven decision-making and high-impact product features across Cisco. You'll work closely with a cross-functional team of engineers, product managers, and data experts to build scalable data infrastructure and intelligent data management capabilities that power internal and external services. You will:

• Drive the development of sophisticated and robust logic and backend infrastructure that supports large-scale data and compute workflows.
• Collaborate across teams to design solutions that meet performance, reliability, and security requirements.
• Contribute to the automation and optimization of engineering processes, improving deployment velocity and system health.
• Participate in the full software development lifecycle, from ideation and design to deployment and monitoring.
• Help shape engineering standards, technical architecture, and operational best practices within the team.

Minimum Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, or Electrical Engineering, or a related field from a leading university, or equivalent experience accepted in lieu of degree.
• 2+ years of professional software engineering experience.
• Full proficiency in Python (Go – advantage).
• Experience with deploying and managing containerized applications using orchestration platforms (Kubernetes, Docker).
• Experience with cloud infrastructure platforms (AWS - advantage) and with Linux environments.

Preferred Qualifications

• Experience with event-driven architecture and event processing services, including streaming platforms and message brokers (Kafka, Kinesis, RabbitMQ, Redis).
• Experience in modern ETL/ELT frameworks (Airflow, Spark, dbt, Snowflake, AWS Glue) for building scalable data pipelines.
• Hands-on experience with monitoring tools (Prometheus, Grafana, Datadog), observability platforms (Elasticsearch, Logstash, Kibana, Splunk), and data management systems (OpenMetadata, Datahub, Great Expectations).
• Hands-on experience in version control (Git) and CI/CD pipelines (Github Actions, Jenkins) for deploying and maintaining data infrastructure.
• Strong advantage - Familiarity with Large Language Models (LLMs) and AI/ML integration in data systems, including familiarity with vector databases model embeddings.

WeAreCisco
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. Simply put – we power the future.

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.