Principal Software Engineer (AI)

TL;DR

Principal Software Engineer (AI Onboarding): Design, implement, test and release e2e workflows for AI security product with an accent on multi-agent platforms like AWS Bedrock, Google AgentSpace, Salesforce AgentForce, and secure scalable multi-tenant solutions. Focus on using AI agents, LLMs, agentic frameworks like Langchain, ADK to secure AI across major cloud platforms.

Location: Hybrid in San Francisco

Salary: $240,000 - $250,000 a year

Company

Identity platform built to power and protect enterprises with AI security solutions.

What you will do

• Design, implement, test and release end-to-end workflows for AI security product
• Build solutions across agent platforms like AWS Bedrock, Google AgentSpace, Salesforce AgentForce using cloud, SaaS and AI patterns
• Develop secure, scalable, multi-tenant software across AWS and Azure
• Act as technical expert, influence product direction and engineering practices
• Drive improvements in processes, tooling and operational reliability
• Collaborate on software design, architecture, testing and deployment

Requirements

• 10+ years software engineering experience
• Expert in Java, Spring Framework, REST, Microservices
• Strong experience with security principles, cloud platforms (AWS, Azure, Google Cloud), containerization (Docker, Kubernetes)
• Deep knowledge of data structures, algorithms, design patterns
• Hands-on with SQL, ElasticSearch, Redis, CI/CD, AWS Glue, Kafka
• Experience with unit, functional, system integration testing; agile (Scrum, Kanban); Git, Maven/Ant, IDEs like IntelliJ

Nice to have

• Familiar with AI tools, MCP, A2A, agentic frameworks; research skills
• Experience with AI development tools like Amazon Q, Github Copilot
• Familiarity with architectural patterns (event-driven, microservices, serverless)

Culture & Benefits

• True agile principles with Scrum and Kanban
• Continuous learning and exploration of new technologies
• Focus on engineering best practices and operational reliability