Senior Software Engineer, AI Security
Backend Developer
Agentic Ai
Ai Agent
Ai Agent Platform
Ai Enabled Security
Ai Security
API
APIs
Application Security
Artificial Intelligence
Automation
Cloud Infrastructure
Cloud Native
Cloud Operations
Cloud Platform
Cloud Platforms
Cloud Technology
Data Integration
Data Pipeline
Data Pipelines
Data Platform
DevOps
DevSecOps
Engineering
Engineering Software
Generative AI
Identity and Access Management
Infrastructure As Code
Kubernetes
Llm Security
Platform Engineering
Risk Management
Security
Security Automation
Software Development
Software Engineer
Software Engineering
Software Security
Job Description
Build secure, scalable infrastructure for AI-powered security on Robinhood’s AI Security team.
Responsibilities
- Design and implement a scalable AI platform that lets security teams develop, deploy, and operate AI-powered agents and security capabilities
- Create foundational platform services including APIs, libraries, and SDKs that streamline AI integration into security workflows
- Architect secure systems with strong identity, authentication, authorization, encryption, and data protection controls
- Build and operate reliable large-scale distributed systems supporting AI-powered security use cases
- Develop platform capabilities and safety guardrails to help teams build and operate AI agents securely
- Partner with security, infrastructure, and engineering teams to capture needs and translate them into reusable platform capabilities
- Use automation to improve platform performance, developer experience, reliability, and security
- Shape the platform’s technical direction and architecture as the team and platform scale
Requirements
- 5+ years of software development experience
- 3+ years building large-scale distributed systems, including security-focused design such as authentication, authorization, identity, or encryption
- Experience building AI platforms, AI infrastructure, or production systems supporting AI-powered applications or agents
- Proficiency in Go or Python, with strong problem-solving and production debugging skills
- Experience with cloud-native and distributed systems technologies such as AWS, Kubernetes, gRPC, or Kafka
- Strong security fundamentals with experience embedding security into production system design
- Experience creating reusable platform capabilities, APIs, libraries, or developer tooling
- Proven ability to deliver large engineering projects with meaningful long-term impact
- Strong technical judgment and the ability to make trade-offs across security, reliability, scalability, and developer experience
- Ability to solve complex engineering problems and collaborate effectively across security and engineering teams
Technologies
- Go
- Python
- AWS
- Kubernetes
- gRPC
- Kafka
Benefits
- Performance-driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
- 100% paid health insurance for employees; 90% coverage for dependents
- Access to the Robinhood Employee Fund for eligible US employees to invest in a private employee fund with exposure to Robinhood Ventures funds
- Access to leading AI tools and continuous AI skill-building for every employee
- Lifestyle wallet for flexible benefits spending on wellness, learning, and more
- Employer-paid life & disability insurance, fertility benefits, and mental health benefits
- Time off to recharge including company holidays, paid time off, sick time, parental leave, and more
- Exceptional office experience with catered meals, events, and comfortable workspaces
About the team + role
- Team mission: build a scalable and secure AI platform that helps security teams develop and operate AI-powered agents and security solutions with confidence
- Role focus: help build the foundational platform, infrastructure, and security primitives for AI adoption at scale
- Work spans complex areas at the intersection of AI, distributed systems, and security, including identity, authentication, authorization, encryption, and platform safety
- Hands-on engineering role centered on building platforms, solving complex technical problems, and enabling secure AI adoption across security
Location: Menlo Park, CA (onsite)
Salary: USD 196,000 - 230,000 per year
Experience: 5+ years