Technical SEO Engineer

Mactores Cognition; Mumbai; Sur place; INR 1 200 000 - 2 400 000; Plein temps

Résumé du poste

Mactores Cognition seeks an experienced SEO/technical expert to design and maintain a complex Schema.org graph across Organization, Service, Article, FAQPage, JobPosting, and more. You will decide JSON-LD placement, defend trade-offs, and extend the graph for AI visibility, while monitoring Core Web Vitals and guiding engineers through performance improvements.

You will work with modern stacks (Next.js, React, Astro) on SSR/SSG/ISR trade-offs, ensure robust internationalization, and own

Qualifications

• Degree in Computer Science or related field and ability to read code.
• 6+ years in a dedicated SEO role with a strong technical focus.
• Demonstrated Schema.org expertise designing multi-entity graphs.
• Experience guiding development teams through performance optimization.
• Fluent in HTML, CSS, JavaScript; comfortable with modern JS frameworks.
• Ability to write Python or SQL for data work.
• Strong written communication to articulate technical decisions.

Responsabilités

• Design and maintain a connected Schema.org graph across multiple entities.
• Decide JSON-LD placement and injection strategy; defend trade-offs.
• Extend the graph for AI visibility and retrieval systems.
• Monitor Core Web Vitals using field data and diagnostic tooling.
• Analyze critical rendering path and optimize bundles, fonts, images.
• Translate diagnosis into concrete engineering guidance and budgets.
• Collaborate with Next.js, React and Astro-class stacks; SSR/SSG/ISR trade-offs.
• Own JavaScript SEO, including SEO for client/server rendering and indexing models.
• Run crawl/index architecture at scale; manage canonicalization and pagination.
• Lead migration/replatforming projects with redirect mapping and validation.
• Handle internationalization and multi-region delivery at scale.

Connaissances

Schema.org expertise

Technical SEO

HTML/CSS/JavaScript

Git & PR review

Python or SQL

Communication

Cross-functional collaboration

Working US hours overlap

Formation

Bachelor's in CS/IT/SE

Outils

Screaming Frog

Sitebulb

Google Search Console API

GA4

Description du poste

Job Summary

Mactores is the agent-native AWS modernization firm. Most modernization work doesnt ship, it stalls in pilots, slips a year, or lands at three times the budget. We exist to ship it: production systems running, legacy retired, outcomes measured. Our delivery is built on Aedeon, the agent platform built by Mactores founders sister company, which absorbs the repetitive 60-70% of engagement work, discovery, dependency mapping, validation, test generation, that traditional consulting bills human hours against. Forward-deployed engineers own the rest: architecture, judgment, and cutover, on dates we commit to in the contract.

What you'll do

• Design and maintain a connected Schema.org graph across the site covering Organization, Service, Article, FAQPage, BreadcrumbList, Person, Event, JobPosting, VideoObject and Dataset, using stable @id references so entities link rather than repeat.
• Decide JSON-LD placement and injection strategy, server-rendered versus tag-managed versus edge-injected, and defend the trade-offs. Debug validation and eligibility issues down to the property level: required versus recommended fields, nesting depth, sameAs disambiguation, and why markup that passes the validator still fails to earn a rich result.
• Extend the graph for AI and answer-engine visibility. Entity consistency, citation-friendly content structure, llms.txt-style surfaces, and how our knowledge graph reads to a retrieval system rather than only to a blue-link ranking system. Monitor structured-data health continuously and treat markup regressions as production incidents.
• Own Core Web Vitals (LCP, INP, CLS) as an engineering target, using field data (CrUX, RUM) as the source of truth and lab tooling (Lighthouse, WebPageTest, trace analysis) as the diagnostic.
• Take a slow page apart: critical rendering path, render-blocking resources, hydration cost, main-thread long tasks, third-party script budget, font loading, image formats and sizing, caching and CDN behaviour.
• Translate the diagnosis into specific, implementable engineering guidance. The component to refactor, the bundle to split, the payload to defer, the header to set, and then sit with the developers through implementation and verification. Establish performance budgets and CI-level guardrails so wins do not silently regress on the next deploy.
• Work credibly with modern stacks and edge delivery: Next.js, React and Astro-class frameworks, SSR, SSG and ISR trade-offs, CDNs and edge workers, image pipelines.
• Own JavaScript SEO. Client-side versus server-side rendering, hydration, dynamic rendering, the two-wave indexing model, and diagnosing what a crawler actually receives versus what a browser shows.
• Run crawl and index architecture at scale. Log-file analysis, crawl-budget allocation, faceted navigation and parameter handling, pagination, canonical strategy, index bloat, soft-404 and duplication patterns.
• Own technical SEO through migration and replatforming. Redirect mapping and validation, URL taxonomy design, staged cutovers, and pre and post monitoring that catches losses in days rather than quarters.
• Handle internationalization and multi-region delivery: hreflang at scale, regional CDN behaviour, and geo-routing that does not break canonicalization.
• Handle everything a marketing site accretes, including gated content, headless CMS quirks, single-page app routes, programmatic page generation, embedded tools and calculators, video and event content, without losing indexability.
• Instrument what matters. Search Console API, GA4 and server-side analytics, crawler exports from Screaming Frog, Sitebulb or equivalent, and log data, joined and analyzed in SQL or Python rather than eyeballed in a dashboard.
• Build the reporting that separates a real technical regression from an algorithm update from a seasonal dip, and say which one it is with evidence. Bring that technical read into content and IA decisions: where an entity needs its own page, where consolidation beats creation.

What we're looking for

• A degree in Computer Science, Software Engineering, Information Technology or a closely related engineering discipline. This role requires someone who was trained to read and reason about code, not someone who picked up HTML alongside marketing work.
• 6+ years in a dedicated SEO role, with the majority of that time spent on the technical side rather than general digital marketing with SEO as one of several responsibilities.
• Demonstrable in-depth Schema.org expertise. You have designed a multi-entity graph from scratch and can explain the choices you made and what they earned.
• A proven record of guiding development teams through performance optimization, with before and after field data and a clear account of what you specified versus what the engineers built.
• Working proficiency in HTML, CSS and JavaScript, comfort reading a modern JS framework codebase, fluency with Git and pull-request review, and the ability to write Python or SQL for data work.
• Experience owning technical SEO through at least one large site migration or replatform.
• Written communication strong enough that an engineering lead reading your ticket knows exactly what to do and why it matters.
• Sustained availability for daily overlap with US hours.

You'll be preferred if you

• Come from B2B technology or enterprise services, with long sales cycles, technical buyers and low-volume high-intent search.
• Are familiar with cloud, data or AI subject matter, and can hold a conversation about AWS, data platforms or agentic systems without a translator.
• Have hands-on experience with AI and LLM visibility, meaning how content gets retrieved, cited and surfaced by answer engines and agents.
• Have built your own tooling: crawlers, API pipelines, monitors, or scripts that replaced a manual process.
• Have done edge-compute or CDN-level SEO work in Cloudflare Workers, or similar.