Software Engineer, Cloud Engineer - Software, AI Engineer
Listed on 2026-02-24
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Software Development
Cloud Engineer - Software, Software Engineer, AI 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.
Who We AreThe SaaS Engineering organization within the Cisco Networking Group is committed to revolutionizing the deployment of generative AI applications. Our mission is to improve IT visibility and deliver comprehensive analytics for the AI infrastructure stack. By using ground‑breaking technologies, we are developing next‑generation SaaS‑based controllers designed to efficiently manage Data Centers with AI/ML solutions.
Who You’ll Work WithYou’ll partner with mentors, collaborate with Cisco leaders and develop incredible relationships with colleagues who share your passion for connecting the unconnected. You’ll be part of a team that cares deeply about its customers, enjoys having fun, and is dedicated to making a positive impact in our local communities. Come prepared to be encouraged, inspired, and to make a difference.
Who You AreYou are a dynamic and innovative leader with a passion for driving technical excellence in software engineering. With significant experience and a deep understanding of applications from end‑to‑end—spanning browser interfaces, cloud services, and backend data stores—you excel in creating seamless and efficient systems. Your expertise with back‑end frameworks in production environments enables you to architect robust and scalable solutions. You possess strong problem‑solving skills, a collaborative mindset, and the ability to mentor and inspire your team to achieve outstanding results.
Your proactive approach and commitment to continuous learning make you an invaluable asset in navigating the complexities of SaaS backend development.
You will develop backend software for a production cloud service for Cisco Networking Engineering to simplify the deployment of generative AI applications, providing IT visibility and analytics across the entire AI infrastructure stack. You will design and develop features – from analyzing requirements and scoping to design execution with quality throughout the development and deployment pipeline for a CI/CD cloud service deployment.
Minimum Qualifications- Bachelors + 7 years of related experience OR Masters + 4 years of related experience OR PhD + 1 year of related experience
- Experience with Go, C/C++, Java, and/or Python
- Experience with microservices software architecture and large scale distributed system
- Experience with Data structure, algorithms and design
- Experience working with cloud technologies like AWS, Google cloud and/or Azure.
- Experience with virtualized applications and their orchestration using Kubernetes, Docker etc.
- Experience with Data center networking.
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.
Message to applicants applying to work in the U.S. and/or CanadaThe starting salary range posted for this position is $ to $ and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job‑related skillset, experience, qualifications, education, certifications, and/or training. The full…
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