Senior Backend Engineer: AI-Driven Storage & Kubernetes

Synopsys Inc; Sunnyvale (CA); On-site; USD 138,000 - 207,000; Full time

Job summary

Synopsys Inc. is seeking an engineer to design and deliver backend services and REST APIs that automate enterprise storage and infrastructure workflows.

You will build orchestration layers, deploy containerized apps on Kubernetes, and maintain CI/CD pipelines while enhancing observability and reliability. You will work on AI-assisted operational workflows using LLMs to streamline troubleshooting and reduce manual effort, contributing to scalable, self-service infrastructure across global

Qualifications

• Strong Python software engineering skills with clean, tested code.
• Experience building production-grade backend services and REST APIs.
• Experience with Git-based workflows, code reviews and CI/CD.
• Hands-on experience deploying containerized apps in Kubernetes.
• Solid Linux and networking fundamentals.
• Experience with SQL databases and scalable service architectures.
• Exposure to AI-assisted engineering workflows and LLMs is a plus.

Responsibilities

• Design and deliver backend services and REST APIs for enterprise storage workflows.
• Build orchestration layers integrating storage platforms with internal systems.
• Develop and maintain containerized applications on Kubernetes with modern deployment strategies.
• Create and maintain CI/CD pipelines with automated testing and security checks.
• Improve observability with metrics, logs and tracing for proactive monitoring.
• Develop AI-assisted operational workflows to streamline troubleshooting and remediation.

Skills

Python

Backend services

REST APIs

Git workflows

CI/CD

Kubernetes

Linux

SQL databases

Observability

AI-assisted automation

Job description

Synopsys Inc. is seeking an engineer to design and deliver backend services and REST APIs that automate enterprise storage and infrastructure workflows.

You will build orchestration layers, deploy containerized apps on Kubernetes, and maintain CI/CD pipelines while enhancing observability and reliability. You will work on AI-assisted operational workflows using LLMs to streamline troubleshooting and reduce manual effort, contributing to scalable, self-service infrastructure across global