Senior Software Engineer, AI Automation

About the team + role

The mission of our team is to ensure that Robinhood’s Applications and Environments are built and operated with the highest security standards, enabling a safer, scalable, and resilient platform for millions of users. By proactively identifying vulnerabilities, managing risks, and providing the engineering community with innovative security tools, we drive strong security practices across all applications and production systems.

Team up with brilliant minds in product and platform engineering to build cutting-edge security solutions at scale, seamlessly integrating security throughout the development lifecycle. This role is perfect for individuals passionate about solving sophisticated security challenges and crafting innovative solutions that have a lasting impact. Join a dynamic team that prioritizes innovation, collaboration, and your continued professional development.

Role is based at the office location(s) listed in the job description, in line with our in-office working policy. Contact your recruiter for more details about our in-office philosophy and expectations.

What you’ll do

• Build scalable systems and components, making trade-offs that balance stability and long-term maintainability
• Transform security operations and workflows into libraries and SDKs that enable smooth adoption and integration by application and platform teams
• Develop and optimize security tools for real-time threat detection and anomaly analysis using AI/ML models
• Build scalable AI-driven systems to automate vulnerability prioritization and improve incident response times
• Collaborate with backend and security teams to enhance security protocols and integrate AI-driven solutions into core systems
• Identify chances to enhance system performance, improve team efficiency, and minimize security risks through automated solutions

What you bring

• 5+ years of Software Development experience.
• 3+ years experience writing low latency, large scale distributed systems.
• Proficiency in Go or Python, with exceptional problem-solving and production debugging skills.
• Expertise with cloud-native platforms, container and orchestration technologies (e.g., AWS, Kubernetes, gRPC, Kafka).
• Experience supporting and developing machine learning models and data pipelines.
• Proven experience working on large projects with long-term impact on a single system or team.
• Strong technical grasp with excellent judgment on task prioritizations.
• Ability to solve sophisticated engineering problems that deliver results aligned with team objectives.

What we offer

• Market competitive and pay equity-focused compensation structure
• 100% paid health insurance for employees with 90% coverage for dependents
• Annual lifestyle wallet for personal wellness, learning and development, and more!
• Lifetime maximum benefit for family forming and fertility benefits
• Dedicated mental health support for employees and eligible dependents
• Generous time away including company holidays, paid time off, sick time, parental leave, and more!
• Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits

We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on September 19, 2024.

Please see the independent bias audit report covering our use of Covey here.