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We are looking for a Senior Software Engineer to build the rendering infrastructure behind a novel search engine designed for agentic AI. In this role, you will design systems that transform modern web applications into high quality structured content for search and AI. You will work on browser rendering, JavaScript execution, and large-scale rendering infrastructure capable of processing billions of pages efficiently. Modern websites increasingly rely on client-side rendering, dynamic data loading, and complex application frameworks. Your work will ensure we can reliably render, understand, and extract valuable information while minimising cost and latency.

In this position, your responsibility will be to:

Design and build large-scale rendering systems for modern web applications
Develop browser-based rendering infrastructure capable of executing complex JavaScript applications reliably
Research how modern frontend frameworks render and deliver content
Improve rendering quality, completeness, and performance across diverse websites
Optimise rendering cost, latency, resource utilisation, and throughput at internet scale
Translate rendering research into reliable production systems

As a Senior Software Engineer on a search vertical, you'll help build systems that capture what is true about a domain. You'll work on extracting, connecting, retrieving, and reasoning over knowledge from the web and beyond, turning messy, real-world data into structured, trustworthy knowledge so AI agents can answer questions with precision and completeness.

You will optimize the retrieval and knowledge layer for a vertical: how a domain's content is indexed, linked into entities, ranked, and continuously refreshed, then measured and improved against rigorous IR metrics. This is an information-retrieval and systems role spanning indexing internals, hybrid retrieval, and entity resolution, with the goal of making each vertical the best place in the world to search its domain.

In this position, your responsibility will be to

Design, implement, and operate the retrieval system for a search vertical

Connect and tune the data pipeline, from ingestion to relevance tuning

Build knowledge-graph and entity-resolution layers: entity linking / NER, ontologies, and graph databases (Neo4j or similar)

Develop structured-extraction pipelines over messy, unstructured domain data

Reason about freshness and trust: model how confident we are in a fact and how stale it has become before we serve it

Define evaluation and quality metrics for relevance and drive measurable improvements

Collaborate with crawling, indexing, and ML teams to ensure retrieval and ranking requirements are met

Enable safe experimentation with retrieval, ranking, and extraction strategies

We are looking for an Senior/Staff Application Security Engineer who will ensure the security of our software by identifying and mitigating vulnerabilities, implementing best security practices, and collaborating with development teams. The ideal candidate will have a strong background in secure coding, threat modeling and building Secure SDLC.

What you will do
Build and maintain Application Security Posture Management (ASPM) at the Company scale.
Automate and support SAST, SCA tools, etc as part of CI/CD pipelines.
Improving SAST, secrets detection rules. Keeping false positive rate low.
Identify, analyze, and remediate application security vulnerabilities.
Collaborate with development teams to integrate security best practices into the software development lifecycle (SDLC).
Develop and maintain secure coding guidelines for development teams.
Conduct, run threat modeling and risk assessments for new and existing applications.
Provide development teams with instruments that facilitate security-related work like threat modelling, vulnerability detection, etc.
Stay updated on the latest security threats, vulnerabilities, and mitigation techniques.