Cisco

1 day ago

Software Engineer - ThousandEyes

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Build next-generation data, analytics, machine learning, and AI platforms for ThousandEyes network assurance. Design, implement, and operate scalable data infrastructure, automated pipelines, shared datasets, and analytics tools used across research, analytics, and engineering. Translate ambiguous business and technical requirements into secure, stable, production-ready solutions, improving platform reliability, data accessibility, developer productivity, and the speed of AI-driven assurance experiences.

Location: Switzerland

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build data, analytics, machine learning, and AI platforms powering ThousandEyes network assurance capabilities.
•Design, implement, and operate scalable data infrastructure, automated pipelines, shared datasets, and analytics tools.
•Develop reusable platform capabilities to process large data volumes efficiently and support intelligent customer-facing applications.
•Collaborate with engineers, product leaders, data scientists, and cross-functional partners to deliver secure, stable solutions.
•Improve platform reliability, data accessibility, developer productivity, and delivery speed for AI-powered assurance experiences.

Key Requirements

•Bachelor’s degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics) or 2+ years of equivalent practical engineering experience.
•2+ years of professional experience writing production-grade code in Python.
•2+ years of experience with dimensional data modeling, schema design, and production database operations (e.g., SQL query tuning, MySQL, MongoDB).
•2+ years of experience building and maintaining production-grade data pipelines using big data technologies (e.g., Spark, Kafka, Presto) and ETL tools (e.g., Airflow).
•Professional experience deploying data architectures in cloud environments, specifically AWS (e.g., S3, EMR, Glue, Redshift, EC2).

Experience:2+ years

Education:Bachelor's in Quantitative field (e.g., Computer Science, Mathematics, Statistics)

Skills:Builder mindsetAutomation mindsetCross-functional collaborationData quality monitoringRequirements translation

Tech Stack:PythonSQLMySQLMongoDBSparkKafkaPrestoAirflowAWSS3EMRGlueRedshiftEC2Dimensional data modelling

Company Brief

Cisco

Global technology company that designs, manufactures, and sells networking hardware, telecommunications equipment, and high-technology services and products for enterprises, service providers, and governments worldwide.

Industry: Networking Equipment

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1984

Glassdoor: 4.0

Website LinkedIn Glassdoor

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Cisco

1 day ago

Software Engineer - ThousandEyes

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: Switzerland

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Build data, analytics, machine learning, and AI platforms powering ThousandEyes network assurance capabilities.
•Design, implement, and operate scalable data infrastructure, automated pipelines, shared datasets, and analytics tools.
•Develop reusable platform capabilities to process large data volumes efficiently and support intelligent customer-facing applications.
•Collaborate with engineers, product leaders, data scientists, and cross-functional partners to deliver secure, stable solutions.
•Improve platform reliability, data accessibility, developer productivity, and delivery speed for AI-powered assurance experiences.

Key Requirements

•Bachelor’s degree in a quantitative field (e.g., Computer Science, Mathematics, Statistics) or 2+ years of equivalent practical engineering experience.
•2+ years of professional experience writing production-grade code in Python.
•2+ years of experience with dimensional data modeling, schema design, and production database operations (e.g., SQL query tuning, MySQL, MongoDB).
•2+ years of experience building and maintaining production-grade data pipelines using big data technologies (e.g., Spark, Kafka, Presto) and ETL tools (e.g., Airflow).
•Professional experience deploying data architectures in cloud environments, specifically AWS (e.g., S3, EMR, Glue, Redshift, EC2).

Experience:2+ years

Education:Bachelor's in Quantitative field (e.g., Computer Science, Mathematics, Statistics)

Skills:Builder mindsetAutomation mindsetCross-functional collaborationData quality monitoringRequirements translation

Tech Stack:PythonSQLMySQLMongoDBSparkKafkaPrestoAirflowAWSS3EMRGlueRedshiftEC2Dimensional data modelling

Company Brief

Cisco

Industry: Networking Equipment

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: San Jose, United States

Founded: 1984

Glassdoor: 4.0

Website LinkedIn Glassdoor