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SEO Automation Engineer, Global

at Binance

Mid LevelNo visa sponsorshipData Engineering

Posted 18 hours ago

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Compensation: Not specified
City: Not specified
Country: Not specified

Binance is seeking an SEO Automation Engineer who applies a software engineering mindset to the world of organic search. This role designs, configures, and deploys Python-based systems to automate the SEO lifecycle, focusing on robust data pipelines, programmatic optimization tools, and LLM-integrated workflows. You will scale organic growth across millions of pages by building automated SEO diagnostics, content signals, and internal linking systems. The position requires hands-on engineering with data-heavy tools and a strong emphasis on data quality, performance dashboards, and CI/CD pipelines.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ 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

Why Binance

• Shape the future with the world’s leading blockchain ecosystem

• Collaborate with world-class talent in a user-centric global organization with a flat structure

• Tackle unique, fast-paced projects with autonomy in an innovative environment

• Thrive in a results-driven workplace with opportunities for career growth and continuous learning

• Competitive salary and company benefits

• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.

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