Technical SEO Engineer
About us
Benrey is a digital team working with international markets — SEO, PPC, link building, in-app, DSP, plus web and app development. We run large multi-domain, multi-language platforms in highly competitive niches, where manual optimisation simply doesn't scale and anything repeatable has to be automated.
Who we're looking for
A technical SEO who is equally comfortable in the console, in server logs and in code. This is not a "fix meta tags from a checklist" role. The value here is building systems that hold optimisation across hundreds of thousands of pages and keep running without manual work.
We need someone who can identify what hurts most and fix it without a step-by-step spec.
What you'll do
— Technical audits of large sites. Crawling, indexing, rendering, crawl budget. Finding bottlenecks in complex structures where the problem isn't visible from any interface.
— Rendering and migrations. Diagnosing CSR / SSR / partial SSR, planning and running migrations, verifying what the bot actually receives rather than what the browser shows. Working with hydration, prerendering and caching at scale.
— SEO A/B testing on programmatic pages. Hypothesis, splitting pages into groups, staged rollout, verifying the deployed state against the intended one, correlation analysis, filtering out seasonality and algorithm updates. Knowing the difference between a real effect and noise, and not drawing conclusions from two weeks of data.
— Server log analysis. How bots actually move through the site, where crawl budget leaks, which templates never reach the index, what changed after a release.
— Building your own tooling in Python or TypeScript. Bulk checks, change monitoring, structured data validation, internal linking, automated audits, dashboards. Systems that run continuously, not one-off scripts.
— LLMs in production, not in a chat window. Pipelines for content generation and validation, page classification, anomaly detection, working through APIs (Claude, Gemini, OpenAI).
— Structured data, canonicals, robots directives, XML sitemaps — handled at template and auto-generation level, not page by page.
— Core Web Vitals and performance. Diagnosis, writing clear tickets for developers, verifying the result shipped.
— Analytics and reporting. Making changes in crawling, indexation and visibility (including AI overviews) visible as numbers, not as gut feeling.
— Working with engineering. Writing technical requirements developers can act on, arguing priority, seeing tickets through to release.
— Documenting the systems you build so they keep working without you.
What we expect
- Solid technical SEO experience on large projects — tens of thousands of URLs and up, multi-language or multi-domain
- Hands-on experience with an SSR migration — a project you owned or led the SEO side of, not theory
- Experience with partial SSR at scale: which parts of the page render server-side, which client-side, and what actually makes it into the index
- Experience running SEO A/B tests on programmatic pages — segmented rollout, verification, honest analysis of results
- Python or TypeScript at the level of "I write working tools myself", not "I took a course"
- Strong grasp of HTML, CSS, JS and how rendering strategy affects indexing, speed and accessibility
- Practical work with logs and APIs — GSC API, crawlers, databases
- Experience with LLM APIs or automation built on top of them
- Autonomy and confidence in your own decisions: not just finding the problem, but driving it to a fix through other teams
Nice to have
- iGaming, programmatic SEO website/SAAS or large-scale e-commerce
- BigQuery, ClickHouse, working with large datasets
- Playwright, headless crawling
- Statistical literacy when evaluating test results
- Mentoring or reviewing other people's technical work
What we offer
- Remote work, competitive salary
- Direct work with the technical team — no layer of managers between you and the task
Freedom to choose the stack and the tools you build
How to apply
Tell us two things in your cover note:
- A tool you built yourself and the problem it solved.
- A case where logs or raw data revealed a problem that no crawler or GSC report showed.
Applications without answers to these won't be reviewed.