Data & AI Software Engineer II — Innovate at Scale

Cisco Systems, Inc; San Jose (CA); On-site; USD 130,000 - 170,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Cisco match

Parental Leave

Disability Insurance

Life Insurance

RSU Grants

Job summary

Cisco Systems, Inc. in the United States is seeking a software engineer to design and scale data pipelines and analytics platforms that power AI initiatives across the company.

You will build infrastructure to support machine learning, collaborate with cross-functional teams, and ensure high-quality, reliable data foundations that enable Cisco’s data-driven decisions. This role requires strong programming skills, knowledge of data systems, and familiarity with cloud and distributed data

Qualifications

• Master's degree in Software Engineering or a related field; or Bachelor's with 2 years' experience.
• Proficiency in Python and fundamentals of software engineering.
• Foundational knowledge of data analysis, ML/AI concepts, and data technologies.

Responsibilities

• Develop scalable data pipelines and analytics platforms.
• Build infrastructure to support machine learning initiatives.
• Collaborate with business groups to enable AI and data-driven insights.
• Maintain high-quality, reliable data infrastructure for operational excellence.

Skills

Python

Data structures

Algorithms

OOP

Education

Master's degree

Bachelor's degree

Tools

SQL

Docker

Kubernetes

Apache Spark

Hadoop

Cloud platforms

Job description

Cisco Systems, Inc. in the United States is seeking a software engineer to design and scale data pipelines and analytics platforms that power AI initiatives across the company.

You will build infrastructure to support machine learning, collaborate with cross-functional teams, and ensure high-quality, reliable data foundations that enable Cisco’s data-driven decisions. This role requires strong programming skills, knowledge of data systems, and familiarity with cloud and distributed data