Senior Backend Engineer - Cloud-Native & AI

020 Cisco Systems, Inc.

San Jose (CA)

Hybrid

USD 168,000 - 245,000

Full time

3 days ago
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Benefits offered by this job

Medical benefits
401(k) matching
Parental leave
Stock grants
Paid holidays

Job summary

Cisco Systems, Inc. is hiring a Senior Software Engineer in a hybrid model with in-office days in RTP, NC or San Jose, CA. You will design, build, and deploy robust cloud-native software that scales for Cisco’s global customer base.

You will mentor teammates, collaborate across teams, and apply AI-assisted development to improve engineering efficiency and reliability in distributed systems.

Qualifications

  • Bachelor’s degree in Computer Science (or equivalent) with 7+ yrs in full SDLC, or Master’s with 4+ yrs, or PhD with 1+ yr.
  • Experience in backend coding languages (Python, Go, Node.js, Java, or Rust) with REST/GraphQL APIs and databases.
  • CI/CD workflows experience and deployment-failure resolution.
  • Cloud infra and container orchestration (AWS, Kubernetes, Docker).
  • Experience with AI-assisted development tools or AIOps practices.

Responsibilities

  • Own full software development lifecycle from design to deployment.
  • Collaborate with stakeholders to drive deployment and optimization strategies.
  • Mentor junior engineers to elevate team technical expertise.
  • Build robust, scalable cloud-native solutions for Cisco’s customers.

Skills

Backend development
REST/GraphQL
CI/CD
Cloud infrastructure
Kubernetes/Docker

Education

Bachelor's degree in Computer Science
Master's degree
PhD

Tools

Kafka
AWS SQS/SNS
Docker
Kubernetes
Terraform
CloudFormation

Job description

Cisco Systems, Inc. is hiring a Senior Software Engineer in a hybrid model with in-office days in RTP, NC or San Jose, CA. You will design, build, and deploy robust cloud-native software that scales for Cisco’s global customer base.

You will mentor teammates, collaborate across teams, and apply AI-assisted development to improve engineering efficiency and reliability in distributed systems.

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