Senior Engineer II, Chromium

Jobgether

Ireland9h ago

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Key details

Location: Ireland
Work style: Remote
Level: Lead / Staff+
Job type: Full-time
Experience: 5–8 yrs
Function: Software engineering
Focus area: Infrastructure / Cloud
Posted: 9h ago

Skills

agentic aiai agentsawsc++code reviewsdata loss preventiongcpkuberneteslinuxllmmicroservicesmodel context protocolnetworkingprototypingpythonrustsecurity architectureterraform

About the role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Engineer II, Chromium based in Ireland.

Join a forward-thinking engineering team working at the intersection of browser technology, systems architecture, and AI security. In this role, you’ll help build and strengthen Chromium-based capabilities that protect enterprise users and AI agents from emerging cyber threats. You’ll work on advanced browser internals, AI security controls, and high-performance cloud infrastructure. Your contributions will help address challenges such as Prompt Injection and unauthorized Shadow AI usage. Collaborating with specialists across browser, AI, and security engineering, you’ll deliver scalable, resilient, and evasion-resistant security solutions. This is an opportunity to make a meaningful impact on the future of secure browsing and agentic technology.

Accountabilities

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.

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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