Senior Staff Software Engineer (Fullstack)- AI

Austin, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Junior (1 to 2 years)Experience Level

Full TimeJob Type

UnknownVisa

CybersecurityIndustries

Requirements

Candidates should possess 8+ years of software engineering experience, with at least 2 years in a staff or senior technical leadership role, and demonstrated experience with full stack development, particularly in AWS environments (e.g., Lambda, S3, ECS, Bedrock, etc.). They should also have experience integrating LLMs and other generative AI tools into production systems, proficiency in one or more modern programming languages (Python, TypeScript, Go, etc.) and frontend frameworks (React, Vue.js, etc.), strong systems design skills, and excellent communication skills. Furthermore, candidates must be comfortable operating autonomously while thriving in cross-functional teams.

Responsibilities

The Senior Staff Software Engineer will architect, design, and implement scalable AI-driven product features using modern full stack technologies, integrate LLMs and other generative AI tools into web-based products and internal workflows, develop and maintain APIs, services, and user interfaces that support AI-driven experiences, collaborate with engineers, data scientists, product managers, investigators, and sales engineers to translate AI models into production-ready applications, evaluate emerging AI tools and frameworks, and mentor engineers while contributing to the evolution of engineering standards, especially as they pertain to AI/ML technologies.

Skills

Full Stack Development

AI/ML Technologies

APIs

Data Pipelines

Frontend Integration

Backend Development

AWS

Large Language Models (LLMs)

Generative AI

API Development

Security Best Practices

Mentoring

SpyCloud

Cybersecurity for threat intelligence protection

About SpyCloud

SpyCloud specializes in cybersecurity, focusing on threat intelligence and identity protection for businesses. Its main product, the Cybercrime Analytics Platform, uses data from the dark web to help detect and prevent cyber threats like malware and ransomware. Unlike competitors, SpyCloud offers a comprehensive solution that combines threat intelligence, identity protection, and incident response in one platform. The company's goal is to enable businesses to proactively defend against cyber threats and reduce the risk of data breaches.

Austin, TexasHeadquarters

2016Year Founded

$197.9MTotal Funding

GROWTH_EQUITY_VCCompany Stage

CybersecurityIndustries

201-500Employees