Staff Software Engineer (Security Platform)
Posted Updated
- The Security Platform team is responsible for the secure lifecycle, governance, and protection of Robinhood’s most sensitive user data
- This team builds foundational systems such as secure data pipelines, tokenization services, and privacy compliance infrastructure to ensure customer data is handled responsibly and in line with regulations
- The team works closely with security, infrastructure, and product engineering partners to ensure data is both usable and protected
- You will contribute to systems that support authentication, third-party integrations, and emerging AI-driven use cases
- As a Staff Software Engineer, you will lead the design and build backend systems that securely process and manage customer data across Robinhood’s platform
- You will own the systems that handle authentication, authorization, and privacy-preserving data operations
- This role involves close collaboration with engineers focused on access management, infrastructure, and data systems
- Your work will directly support efforts to improve system reliability, strengthen data protections, and enable new product capabilities using secure data
- Build backend services and data pipelines that securely store, process, and route customer data
- Develop systems for token issuance, user authentication, and anonymization to support privacy requirements
- Define and execute the vision for authentication across next-generation AI platforms, intelligent agents, and MCP ecosystems, shaping how secure identity works in an AI-first world
- Implement data retention and deletion workflows aligned with regulatory standards such as CCPA and GDPR
- Partner with access management engineers to enforce least-privilege access controls across systems
- Contribute to monitoring and auditing systems that track how data is accessed and used
- You have 8+ years of software engineering experience focused on backend systems, data infrastructure, or security
- You have worked with distributed systems such as databases, messaging systems, or data processing frameworks (e.g., PostgreSQL, Kafka, Spark, Snowflake)
- You understand data protection principles such as encryption, secure data handling, and privacy-focused system design
- You have experience building and operating services in cloud environments such as AWS and Kubernetes
- You are proficient in at least one backend language such as Python, Go, or Java