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Cloud Engineer

Job in Milpitas, Santa Clara County, California, 95035, USA
Listing for: Cisco Systems, Inc.
Full Time position
Listed on 2026-07-17
Job specializations:
  • Software Development
    Cloud Engineer - Software, DevOps, Backend Developer
Salary/Wage Range or Industry Benchmark: 152500 - 219200 USD Yearly USD 152500.00 219200.00 YEAR
Job Description & How to Apply Below

The application window is expected to close on: 07/17/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received.

Meet the Team

Our Security Policy and Access team is at the heart of Cisco’s mission, building and operating market‑leading platforms like the Cisco Identity Services Engine and Meraki Access Manager to simplify security compliance for global organizations. We are a critical engine within our $3B+ Security Business Group, directly enabling Cisco’s strategic pivot to a software‑first, recurring revenue model that secures the world’s most vital networks.

You will join a high‑performing, collaborative group of engineers, architects, and product experts who thrive in an Agile environment where cross‑functional teamwork is the daily standard. What makes us truly exciting is the scale of our impact; we are building cloud‑native, AI‑integrated solutions that solve the most complex challenges in zero‑trust security and identity management. If you are passionate about owning services from design to production and want to work on a team that values innovation, reliability, and continuous learning, this is the place to make your mark.

Your Impact

The team is made up of builders and problem‑solvers who enjoy tackling complex distributed systems challenges while supporting highly scalable, resilient, and observable services in production. What makes this team especially exciting is the opportunity to work at the intersection of cloud engineering, cybersecurity, automation, and AI‑assisted development while directly influencing products used by some of the world’s largest organizations.

  • Design, develop, test, deploy, and support cloud‑native SaaS applications and services.
  • Build scalable, resilient, and secure distributed systems using microservices architecture.
  • Develop and operate services running in public cloud environments such as AWS, Azure, or Google Cloud.
  • Participate in the design and implementation of service automation, monitoring, observability, and telemetry pipelines.
  • Analyze service health, performance metrics, logs, traces, and alerts to improve reliability and customer experience.
  • Own services through the full lifecycle, from design and implementation to production support and continuous improvement.
  • Work on deployment, configuration, and operational readiness for SaaS services in production environments.
  • Review architecture, designs, implementation plans, test strategies, and operational procedures.
  • Troubleshoot complex production and customer issues across application, infrastructure, database, and networking layers.
  • Collaborate with engineering, product management, security, SRE, Dev Ops, and customer‑facing teams.
  • Contribute to building secure, scalable, and reliable business solutions for Cisco customers and partners.

Minimum Qualifications

  • Bachelor’s degree in computer science, Computer Engineering, or a related technical field.
  • 5+ years of software engineering experience in a SaaS product company; and 2+ years of hands‑on experience developing or operating SaaS applications in a public cloud environment such as AWS, Azure, or Google Cloud.
  • Programming experience in one or more languages such as Java, Python, or Go and experience designing and implementing REST APIs and backend services.
  • Hands‑on experience with containers and orchestration platforms such as Docker, Kubernetes, or AWS EKS and experience with microservices architecture and distributed systems.
  • Experience with networking fundamentals such as TCP/IP, HTTP, DNS, load balancing, and network security concepts.
  • Experience debugging and problem‑solving skills across application, infrastructure, and cloud service layers.
  • Experience with Generative AI, including large language models, prompt engineering, AI‑assisted development workflows, and responsible use of AI in software engineering.

Preferred Qualifications

  • Experience with observability platforms and tools such as Prometheus, Grafana, Open Telemetry, Kibana, Open Search, or similar technologies.
  • Experience building or operating telemetry, monitoring, alerting, and service health management systems.
  • Experience with…
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