Staff Software Engineer — AI-Driven Cloud Ops & Management

Broadcom Inc.; California; Hybrid; USD 144,000 - 230,000; Full time

Benefits offered by this job

Discretionary annual bonus

Equity grants

Annual equity awards

401(k) matching

Medical, dental, vision plans

Paid holidays, sick leave and vacation

Job summary

Broadcom Inc. is seeking a Staff Software Engineer to drive architecture, design, and delivery of operations and management features for private cloud management. You will work in an agile team, craft scalable solutions, and mentor engineers while solving complex problems with innovative technologies.

You will lead end-to-end development, ensure high quality and performance, and collaborate across distributed teams to deliver enterprise-grade products for cloud management and observability.

Qualifications

• BS or MS in Computer Science or related field with extensive experience.
• Hands-on experience in AI-driven development lifecycle (ADLC).
• Proficient with AI coding agents and spec-driven development to accelerate workflows.
• Proven track record designing enterprise-grade, multi-agent apps.

Responsibilities

• Research and evaluate new technologies for feature delivery.
• Participate in architectural design and code reviews.
• Collaborate with cross-functional teams for product development.
• Guide and mentor engineers on technology, design, and coding practices.
• Work in Agile environments and rapidly prototype ideas.

Skills

Java

Spring

Hibernate

Angular/React

OpenSearch

PostgreSQL

ClickHouse

Kubernetes

Education

BS in Computer Science or related field

MS in Computer Science or related field

Tools

Claude

Cursor

AI tooling

Job description

Broadcom Inc. is seeking a Staff Software Engineer to drive architecture, design, and delivery of operations and management features for private cloud management. You will work in an agile team, craft scalable solutions, and mentor engineers while solving complex problems with innovative technologies.

You will lead end-to-end development, ensure high quality and performance, and collaborate across distributed teams to deliver enterprise-grade products for cloud management and observability.