SEO Automation Engineer, Global

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. We are seeking an SEO Automation Engineer who applies a software engineering mindset to the world of organic search. This is not a traditional marketing role; we are looking for a builder who can design, configure and deploy Python-based systems to automate the SEO lifecycle. You will focus on building robust data pipelines, programmatic optimization tools, and LLM-integrated workflows that scale our organic growth across millions of pages. Responsibilities:

Architect and maintain automated SEO diagnostic systems using Python and BigQuery to analyze 500K+ pages at scale

Develop technical strategies for Generative Search (AI Overviews, ChatGPT, Perplexity) through structured data and programmatic content signals

Build and deploy programmatic internal linking systems using SQL and graph-based logic to automate site architecture

Create automated content quality assessment workflows using LLM APIs (OpenAI/Anthropic) to identify thin content and cannibalization

Build and maintain custom SEO APIs and MCP servers to integrate external datasets with internal LLM-agent workflows

Develop Python scripts for high-volume log file analysis, crawl-budget optimization, and rendering diagnostics

Engineer SQL-heavy performance dashboards unifying organic traffic, conversion attribution, and competitive positioning

Implement complex Schema.org deployments and automated authorship systems within CI/CD pipelines

Use algorithmic logic for keyword clustering and intent classification across multi-language datasets

Build automated SEO QA frameworks (indexability, hreflang, and core web vitals validation) into the production pipeline

Requirements:

5+ years of experience in Software Engineering or Data Engineering with a proven track record of hands-on SEO execution at scale

Advanced proficiency in SQL and BigQuery, with specific experience architecting data warehouse solutions for SEO and performance analytics

Strong Python programming experience: pandas, scikit-learn, API integrations, web scraping, data pipeline orchestration

Deep understanding of LLM architectures, RAG systems, and prompt engineering to build search-optimized workflows and agentic tools

Hands-on experience developing custom SEO automation tools, crawlers, and scripts that have driven measurable organic growth

Strong knowledge of NLP, semantic search, entity-based SEO, and knowledge graph concepts.

Proficiency with cloud platforms (GCP/AWS) and workflow orchestration tools like Airflow or GitHub Actions to manage automated tasks

Expertise in managing and integrating enterprise SEO APIs, including Google Search Console, Ahrefs, and DataForSEO

Technical mastery of modern web technologies, including JavaScript rendering (SSR/CSR), indexability diagnostics, and Core Web Vitals optimization

Ability to translate complex business requirements into clear technical specifications and production-ready code

Business-level fluency in English is required; professional proficiency in Mandarin is a strong plus to effectively interface with global technical teams

Prior experience in the cryptocurrency or fintech industry is highly preferred