Fullstack Software Engineer

Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a Cisco representative may contact you directly if a relevant position opens.

As the leader in cloud‑managed IT, Cisco Meraki connects passionate people to their mission by simplifying the digital workplace. Our team fuels the magic of the Meraki community by empowering Merakians to challenge limits, embrace risks, and assist our customers in pursuing their missions. We are a diverse and dynamic group working on next‑generation scalable wireless cloud solutions, continuously evolving to support exciting customer and business paradigms.

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‑back‑end, 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.

• 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

• 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 (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