• Design, develop, and maintain Chromium-based browser components in C++, working across layers such as content, browser, core, compositor, Skia, and networking.

• Build and integrate browser-level controls to detect Prompt Injection and manage Shadow AI activity across browser and AI agent workflows.

• Apply networking expertise and HTTP security principles to strengthen browser isolation, proxy and gateway interception, and network-facing infrastructure.

• Collaborate with AI and agent engineering teams to integrate AI agent capabilities and Model Context Protocol (MCP) servers into security solutions.

• Develop supporting tools, detection microservices, and prototypes using Python or Rust.

• Deploy and maintain cloud infrastructure across AWS and GCP, using Kubernetes and Terraform to support reliable AI agent, MCP, and threat-detection workloads.

• Debug, optimize, and maintain performance-critical systems across browser and backend infrastructure.

• Work closely with product, security, and AI engineering teams to deliver end-to-end solutions.

• Use AI-assisted development tools to accelerate coding, testing, and code review while maintaining high standards of quality and security.

Requirements:

• At least 5 years of software engineering experience, with strong C++ systems programming skills.

• Solid understanding of networking fundamentals, including HTTP security, web protocols, and/or client-side security architecture.

• Bachelor’s degree or higher in Computer Science or a related field, or equivalent practical experience.

• Experience with Chromium internals, including content, browser, core, compositor, Skia, or networking layers, is preferred. Equivalent experience with large-scale, high-performance C++ systems is also valuable.

• Experience or a strong interest in AI and LLM security, including Prompt Injection defense, Shadow AI detection, intent classification, context-aware DLP/PII detection, and agentic workflows.

• Familiarity with Python or Rust is an advantage.

• Experience building or integrating AI agents, Chrome DevTools Protocol (CDP), or MCP servers is desirable.

• Knowledge of AWS, GCP, Terraform, Kubernetes, and Linux is considered a plus.

• Strong collaboration, problem-solving, and communication skills, with the ability to work across engineering disciplines.

Benefits:

• Opportunity to contribute to advanced browser security and AI protection technologies.

• Work on challenging systems engineering problems across Chromium, AI security, and cloud infrastructure.

• Collaborate with multidisciplinary teams spanning browser engineering, AI, and cybersecurity.

• Help shape security capabilities designed to protect enterprise organizations and AI-powered workflows.

• Join an engineering culture that values proactive ownership, direct communication, collaboration, technical excellence, and customer-focused outcomes.