11 meilleures offres (field application engineer, lausanne, vd) (à pourvoir)

Software Engineer - ThousandEyes
Cisco Systems —Rolle, VD
- 100%
- Niveau Master
- SQL
- AWS
il y a 6 jours
Hardware Engineer
Viasat —Lausanne, VD
- Niveau Doctorat
- Niveau Master
Senior/Staff UX Researcher
Nexthink —Lausanne, VD
- 100%
- Travail hybride
- Gestion du personnel
- Anglais
- Recherche
Postuler rapidement
il y a 7 jours
Senior Sales Engineer, French Fluency Required (80–100%)
ABB Schweiz AG —Morges, VD
- 100%
- Vente
- Niveau Licence
- Compétences en communication
Postuler rapidement
il y a 2 jours
RF Engineer Intern
Viasat —Lausanne, VD
- 100%
- Expérience en laboratoire
- Niveau Master
- Niveau Licence
CSV Engineer
GXP Consulting Switzerland —Epalinges, VD
- Anglais
- Niveau Master
- Sans diplôme d'enseignement supérieur
Software Engineer, Product
Adaptyv —Lausanne, VD
- 100%
- Travail hybride
Talent Lead
Adaptyv —Lausanne, VD
- 100%
- Bar
- Niveau Doctorat
Software Engineer, Backend
Adaptyv —Lausanne, VD
- 100%
- Travail hybride
- Technologies de l'information
- Python
Scientist, Antibody Developability
Adaptyv —Lausanne, VD
- 100%
Head of Software Engineering
Adaptyv —Lausanne, VD
- 100%
- Travail hybride
- Bar

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Software Engineer - ThousandEyes

Cisco Systems -
Rolle, VD

Soumettre votre candidature

Détails de l'emploi

100% | Temps de travail : 90-100%
Il y a 6 jours

Qualifications

Spark
MongoDB
Niveau Master
SQL
AWS
Niveau Licence
Systèmes de dossier médical électronique
S3
Python
MySQL

Description complète du poste

Meet the Team 
Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network - even the ones they don’t own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues - before they impact end- user experiences. 

ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco’s leading Networking, Security, Collaboration, and Observability portfolios. 

The Assurance Data Platform team builds and operates the foundational data infrastructure that powers analytics, machine learning, AI, and customer-facing intelligence across the organization. Our work enables research and engineering teams to reliably ingest, discover, govern, process, and use data at scale, making the platform a critical part of the company’s broader technology and product strategy. The team operates with a builder mindset—solving complex infrastructure challenges while creating reusable capabilities that accelerate teams across the organization. This is an exciting opportunity to shape the future of our data architecture, work with modern cloud and data technologies, and build platforms that directly influence the next generation of AI-driven products.

Your Impact 
You will build next-generation data, analytics, machine learning, and AI platforms that power network assurance capabilities across ThousandEyes and the broader Cisco organization. Design, implement, and operate scalable data infrastructure, automated pipelines, shared datasets, and analytics tools used by Reserach, Analytics and Engineering teams. Develop reliable and reusable platform capabilities that enable teams to process large volumes of data efficiently, accelerate product development, and support intelligent customer-facing applications. Collaborate with engineers, product leaders, data scientists, and cross-functional partners to translate ambiguous business and technical requirements into secure, stable, and production-ready solutions. Drive measurable success by improving platform reliability, data accessibility, developer productivity, and the speed at which Cisco can deliver AI-powered network assurance experiences.

Minimum Qualifications

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 modelling, 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 within cloud environments, specifically the AWS ecosystem (e.g., S3, EMR, Glue, Redshift, EC2).

Preferred Qualifications

Master’s degree (MS) in quantitative discipline.
Experience collaborating within interdisciplinary or cross-functional teams.
Strong mindset for automation, instrumentation, and data quality monitoring.
Experience building next-generation platforms specifically for machine learning, AI, or network analytics.

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.

Soumettre votre candidature

Affinez votre recherche

field application engineer emplois - lausanne, vd

Software Engineer - ThousandEyes

Hardware Engineer

Senior/Staff UX Researcher

Senior Sales Engineer, French Fluency Required (80–100%)

RF Engineer Intern

CSV Engineer

Software Engineer, Product

Talent Lead

Software Engineer, Backend

Scientist, Antibody Developability

Head of Software Engineering

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