Cisco Full Stack Software Engineer Wireless 

Switzerland, Vaud 

149294553

Our guiding principles are rooted in our four core values: 'care deeply,' 'everybody in,' 'simplify everything,' and 'be brave.' These pillars have propelled us to the forefront of cloud-managed IT leadership and have played a pivotal role in shaping a more inclusive future for all.

What You'll Do

You will be part of the team building next generation scalable wireless cloud solutions. As a crucial member, you will work with a diverse group of engineers at all career levels. We architect, design, and develop some of the key features that are continuously evolving towards enabling the support of newer and exciting customer & business paradigms. You will interact and work closely with some of the finest talent in the industry, finding work that is both fun and exciting!

You will develop and maintain wireless products and industry-leading software services with aim toward all devices, machines, and vehicles becoming connected and integrated with enterprise networks.

More specifically you will:

* Design and implement full-stack features for wireless products, integrating front-end, cloud-backend, and AI/ML components.

* Collaborate on data-driven features, including collecting, processing, and analyzing data streams from wireless devices

* Test features end-to-end in simulated and real hardware.

* Contribute to unit automation, integration, feature, and system level testing.

* Support and maintain quality of the software, help customers to debug issues and fix defects.

* Plan, design, operate and improve continuous integration and automated testing systems; write, deliver, and maintain tests for the toolset.

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 modern AI/ML workflows, including data ingestion, preprocessing, model training, validation, deployment, and monitoring.

* Familiarity with designing and implementing features using relational databases.

* Experience in testing, troubleshooting and debugging.

Preferred Qualifications

* Solid understanding of cloud-development and technologies

* Knowledge of networking protocols

* Thriving in a highly collaborative, inclusive, and agile atmosphere in partnership with multi-functional teams.

* Keen to learn, grow, and evolve in AI/ML, software engineering, and wireless networking domains.

* Experience with ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

* Familiarity with data streaming, analytics, and processing tools (Kafka, Spark, Databricks, Snowflake).

* Cloud infrastructure expertise (AWS, Azure), Kubernetes, and Docker

* Adaptable, proactive, and willing to take ownership