Senior Cloud Native Engineer - AI/ML & Go Microservices

Cisco Systems, Inc; San Jose (CA); On-site; USD 168,000 - 245,000; Full time

Benefits offered by this job

Medical insurance

401(k) with matching

Paid parental leave

Disability coverage

Basic life insurance

RSUs

Job summary

Cisco Systems, Inc. in San Jose, CA, is seeking an experienced engineer to design and build core components of the Common Services Platform for scalable, secure cloud-native deployments. You will partner with product management, collaborate across teams, and mentor engineers while driving end-to-end delivery.

The role emphasizes building scalable microservices in Go and integrating AI/ML solutions, with opportunities to shape platform architecture and improve performance at scale.

Qualifications

• Bachelor's degree plus 7+ years designing, developing, and deploying enterprise software.
• 5+ years developing, deploying, and managing large-scale cloud-native web applications and microservices (Golang, Terraform, serverless).
• 3+ years building event-driven systems with Kafka, SQS, or SNS.

Responsibilities

• Design and build core components of the Common Services Platform for scalable, secure cloud-native deployments.
• Partner with Product Management to understand requirements and contribute to sprint planning.
• Collaborate across teams to deliver end-to-end functionality with clear integration points.
• Develop POCs and prototypes to validate approaches and test performance.
• Mentor junior engineers and promote best practices across the team.
• Influence system design to ensure timely, high-quality delivery at scale.

Skills

Golang

Terraform

AWS Lambda

Kafka

AI/ML

Education

Bachelor's degree

Master's degree

PhD

Tools

GORM

Job description

Cisco Systems, Inc. in San Jose, CA, is seeking an experienced engineer to design and build core components of the Common Services Platform for scalable, secure cloud-native deployments. You will partner with product management, collaborate across teams, and mentor engineers while driving end-to-end delivery.

The role emphasizes building scalable microservices in Go and integrating AI/ML solutions, with opportunities to shape platform architecture and improve performance at scale.