Senior Engineer II, Chromium
New
J
JobgetherBrowser security
Based in RomaniaFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- At least 5 years of software engineering experience
- Required Skills
- AWSPythonGCPKubernetesC++RustNetworking
Requirements
- At least 5 years of software engineering experience.
- 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.
- Experience with large-scale, high-performance C++ systems is valuable.
- Experience or 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 a plus.
- Ability to collaborate and solve problems across engineering disciplines.
Responsibilities
- Design, develop, and maintain Chromium-based browser components in C++ across browser, content, core, compositor, Skia, and networking layers.
- Build 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 browser isolation, proxy and gateway interception, and network-facing infrastructure.
- Integrate AI agent capabilities and Model Context Protocol (MCP) servers into security solutions with AI and agent engineering teams.
- Develop supporting tools, detection microservices, and prototypes using Python or Rust.
- Deploy and maintain AWS and GCP infrastructure using Kubernetes and Terraform.
- Debug, optimize, and maintain performance-critical systems across browser and backend infrastructure.
- Collaborate with product, security, and AI engineering teams to deliver end-to-end solutions.
- Use AI-assisted development tools for coding, testing, and code review while maintaining quality and security.
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