Principal Software Engineer

Visalytics; Santa Clara (CA); On-site; USD 250,000 - 420,000; Full time

Benefits offered by this job

Health plans

Flexible spending accounts

401(k) Plan with company match

ESPP

Matching donations

Flexible time away plan

Family leave programs

Equity

Job summary

Visalytics in Santa Clara, CA is seeking an engineering leader to define the technical vision and architecture for AI-native security solutions. You will shape the platform, set engineering standards for scalability and reliability, and collaborate with cross-functional leaders to drive production-grade AI/ML products.

You will mentor senior engineers and steer execution across distributed systems, Kubernetes, and modern AI frameworks within a cybersecurity-focused domain, ensuring robust,

Qualifications

• Requires 15+ years of software engineering experience with a proven track record of delivering production AI/ML products.
• Must have deep expertise in distributed systems, Kubernetes, and modern AI frameworks, preferably within the cybersecurity domain.

Responsibilities

• Define the technical vision and architecture for AI-native security solutions.
• Lead engineering standards for scalability and reliability.
• Mentor senior engineers and partner with cross-functional leaders.

Skills

LLMs

Agentic AI

RAG

Python

Distributed Systems

Cloud-native Architecture

Kubernetes

Cybersecurity

Software Architecture

Model Evaluation

Vector Technologies

Java

Go

Microservices

DevOps

Technical Leadership

Education

Bachelor's degree or higher in a related field

Tools

Kubernetes

Cloud platforms

Job description

Define the technical vision and architecture for AI-native security solutions using frontier models and agentic AI. Lead the engineering standards for scalability and reliability while mentoring senior engineers and partnering with cross-functional leaders.

Requirements: Requires 15+ years of software engineering experience with a proven track record of delivering production AI/ML products. Must have deep expertise in distributed systems, Kubernetes, and modern AI frameworks, preferably within the cybersecurity domain.

Key Skills: LLMs, Agentic AI, RAG, Python, Distributed Systems, Cloud-native Architecture, Kubernetes, Cybersecurity, Software Architecture, Model Evaluation, Vector Technologies, Java, Go, Microservices, DevOps, Technical Leadership

Benefits: Health plans, Flexible spending accounts, 401(k) Plan with company match, ESPP, Matching donations, Flexible time away plan, Family leave programs, Equity