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Fullstack Software Engineer

Job in Ecublens, Fribourg, Switzerland
Listing for: Cisco Systems, Inc.
Full Time position
Listed on 2026-06-15
Job specializations:
  • Software Development
    Cloud Engineer - Software, DevOps, Software Engineer, Full Stack Developer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CHF Yearly CHF 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Your Impact

As a Full-stack Software Engineer, you will design, plan, and develop new customer‑centric features for our Wireless customers in a fast‑paced, large‑scale multi‑cloud environment. You will develop and maintain wireless products and industry‑leading software services aimed at connecting all devices, machines, and vehicles with enterprise networks. Your work will include designing and implementing full‑stack features integrating front‑end, cloud‑backend, and AI/ML components, collaborating on data‑driven features, testing end‑to‑end in simulated and real hardware, and supporting software quality and customer issue resolution.

You will also plan, design, operate, and improve continuous integration and automated testing systems.

Minimum Qualifications
  • Experience in building rich web UIs with React and Redux, or similar frameworks
  • Experience with web backend technologies such as Ruby on Rails, Python, or Scala
  • Familiarity with data engineering, ML model lifecycle management, and deployment techniques
  • Familiarity with designing and implementing features using relational databases
  • Strong problem‑solving skills, testing, troubleshooting, and debugging experience
  • Adaptable, proactive, and willing to take ownership
  • Strong collaborative and interpersonal skills
Preferred Qualifications
  • Solid understanding of cloud development and technologies
  • Familiarity with modern AI/ML workflows, including data ingestion, preprocessing, model training, validation, deployment, and monitoring
  • Knowledge of networking protocols
  • Experience thriving in a highly collaborative, inclusive, and agile atmosphere with multi‑functional teams
  • Keen to learn, grow, and evolve in AI/ML, software engineering, and wireless networking domains
  • Experience with cloud technologies, Kubernetes, and Docker
  • Hands‑on experience with ML frameworks (e.g., Tensor Flow, PyTorch, Scikit‑learn)
  • Familiarity with data streaming, analytics, and processing tools (Kafka, Spark, Databricks, Snowflake)
  • Cloud infrastructure expertise (AWS, Azure), Kubernetes, and Docker
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