Job Title: Senior Engineer II, Chromium
Company: Menlo Security
Job Type: Full-time
Location: Remote (EMEA)
Salary: Not specified
Experience: Senior-level, 5+ years of software engineering experience with strong C++ systems programming skills
Education: Bachelor's degree or higher in Computer Science or a related field (or equivalent practical experience)
Skills Required:
- C++ systems programming: strong C++ skills, built over 5+ years of software engineering experience
- Networking and security: strong networking fundamentals, including solid knowledge of HTTP security, web protocols, and/or client-side security architecture
Advantage: Experience across Chromium layers such as content, browser, core, compositor, skia, and networking (or equivalent large-scale, high-performance C++ systems experience); experience or strong interest in AI/LLM security and guardrails (Prompt Injection defense, Shadow AI detection, intent classification, context-aware DLP/PII detection, agentic workflows); Python or Rust experience; experience building or integrating AI agents, Chrome DevTools Protocol (CDP), and MCP (Model Context Protocol) servers; experience with AWS, GCP, Terraform, Kubernetes, and Linux
Date Posted: Oct 30, 2026
Application Deadline: Not specified
Description:
Menlo Security leads browser security for human and agentic workforces, protecting organizations from cyberattacks across the web, documents, and email. It is hiring a Senior Software Engineer for its Data Security & AI Engineering team to build, expand, and harden the runtime capabilities behind its AI security platform. The role sits at the intersection of browser engine internals, systems architecture, and AI security, and involves working with engineers across Chromium, AI, and security disciplines. Your work will include:
- Designing, building, and maintaining Chromium-based browser components in C++ across layers such as content, browser, core, compositor, Skia, and networking
- Architecting and embedding controls for detecting Prompt Injection (PI) and managing Shadow AI activity within browser execution and agent workflows
- Applying networking and HTTP security expertise to harden browser isolation, proxy/gateway intercepts, and network-facing infrastructure
- Partnering with the MARS and AI teams to build and integrate AI agent capabilities and MCP servers into the security platform
- Using Python or Rust to build supporting tooling, detection microservices, and prototypes
- Deploying and operating cloud infrastructure (AWS, GCP) and orchestration (Kubernetes, Terraform) for agent/MCP and threat-detection workloads
- Debugging and optimizing performance-critical, high-scale systems across the browser and backend infrastructure
- Collaborating with product, security, and AI engineering teams and using AI-assisted coding tools to ship capabilities end to end
How to Apply: Apply here.