Cisco
Software Engineer - CHG (Hybrid)
$138K–$256K
San Jose, California, US · Hybrid · Full-time · Posted Oct 26, 2026
- Experience
- Bachelor’s + 5 years, Master’s + 3 years, or PhD + 0 years in enterprise production software; additionally, 3+ years in cloud-native applications and storage systems, and 1+ year in event-driven systems.
- Education
- Bachelor’s, Master’s, or PhD, with the stated experience alternatives.
About the job
Build and maintain core components of Cisco’s cloud-native Common Services Platform for secure, scalable, and resilient deployments.
What you'll do
- Design and implement platform components and contribute to system design and delivery.
- Partner with Product Management and cross-functional teams on requirements, planning, and end-to-end functionality.
- Develop prototypes and mentor peers and engineering interns.
What they ask for
- Bachelor’s + 5 years, Master’s + 3 years, or PhD + 0 years of experience designing, developing, and deploying enterprise software in production environments.
- 3+ years developing, deploying, and managing large-scale cloud-native applications and microservices using Golang, Terraform, and serverless technologies.
- 3+ years using SQL (PostgreSQL) and NoSQL (DynamoDB) storage systems.
- 1+ year building event-driven systems with messaging or streaming platforms; experience using AI/ML tools or APIs in software development workflows.
Nice to have
- Exposure to graph traversal or recursive/hierarchical data modeling.
- Experience with Handler → Service → Repository architectures and ORM frameworks such as GORM.
Pay
$155,000.00 to $222,600.00 USD (starting salary range; base salary); $155,000.00 - $256,000.00 USD (full salary range; base salary); $138,100.00 - $227,900.00 USD (full salary range; base salary)
Tools
Golang, Terraform, AWS Lambda, AppSync, ECS/EKS, PostgreSQL, DynamoDB, Kafka
AI focus
Use AI/ML tools or APIs, including LLM-based coding assistants, model APIs, or ML-driven automation, to support software development workflows; the team is also pushing AI/ML deeper into platform design, development, and delivery.
Model-written summary · the original posting is authoritative