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Technical SEO Engineer (Indianapolis, IN)

Nectiv, Indianapolis, Indiana, us, 46262

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Nectiv is an organic growth consultancy focused on technical SEO, content strategy, information architecture, and optimization for AI answer engines (AEO/GEO). We work with SaaS companies, marketplaces, and enterprise brands to solve complex organic search challenges — from site architecture and crawl optimization to structured content systems and AI search visibility.

We prefer systemic fixes over one-off edits, prioritized by business impact rather than vanity metrics, and ship in stages with validated outcomes before expanding.

The Role You'll be the technical backbone of Nectiv's delivery. Where our strategists define the "what" and "why" for clients, you own the "how" — building solutions, debugging complex issues, creating automation that scales our work, and monitoring technical health across our client portfolio. You're the go-to for anything that requires code, deep technical investigation, or systems thinking.

Your time splits between client-facing technical work (audits, debugging, implementation support, AI-readiness evaluation) and internal process and tooling (automation workflows, dashboards, monitoring systems, tool stack development). You'll be on client calls regularly to speak to technical topics, but you won't own client relationships — that's the strategist's domain.

As a foundational hire, you'll also shape how Nectiv's technical delivery works — the tools we use, the processes we follow, and the standards we hold.

What You'll Do Technical SEO Execution & Debugging

Serve as the point person for technical projects across client accounts

Debug JavaScript rendering issues, crawl anomalies, indexation problems, and other highly technical challenges that require engineering-level investigation

Execute comprehensive technical audits (crawlability, indexation, rendering, internal linking, site architecture) — strategists scope and prioritize the work; you dig into the technical investigation and produce detailed findings

Analyze server log files to diagnose crawler behavior, crawl budget allocation, and indexation anomalies

Build redirect maps, validate redirect chains, and QA URL consolidation work

Produce engineering-ready implementation documentation for client development teams

Work directly with client engineering teams on implementation, QA, and validation

Evaluate AI-readiness across client sites and surface gaps in content extractability, semantic structure, and schema coverage

Support site migrations, platform changes, and major technical initiatives

Content Engineering

Build and maintain structured content systems — templates, metadata models, and modular components that can be reused and scaled across client sites

Implement and optimize schema markup and structured data to improve machine-readability for both search engines and AI answer engines

Build content structures that support AI extraction — clear heading hierarchies, modular answer blocks, entity-rich structure

Support programmatic SEO initiatives — template systems, data-driven page generation, and dynamic content at scale

Build automated content refresh and maintenance workflows triggered by performance signals

Department-Wide Technical Health Monitoring

Own a systematic process for monitoring technical health across all client accounts

Surface and prioritize key technical issues before they impact performanceBuild automated alerting and monitoring dashboards that track leading indicators (crawl health, indexation, schema validation) and lagging indicators (traffic, conversions)

Track and triage algorithm updates and their impact across the client portfolio

Automation & AI Workflow Development

Design and build AI-powered SEO workflows using automation platforms (AirOps, n8n, or similar) and custom scripts

Develop automation pipelines for research, analysis, and reporting

Integrate LLM APIs into SEO workflows — content analysis, entity extraction, keyword clustering, quality assessment

Build custom internal tools and dashboards that improve delivery efficiency

Reduce manual work across the team through scalable automation

Web Development & Platform Expertise

Comfortable working across CMS platforms, headless architectures, and JavaScript frameworks (React, Next.js, Vue, Angular)

Debug rendering, hydration, and client-side vs. server-side issues

Support client engineering teams with technical guidance, implementation specs, and QA — this is the primary mode of working with client dev teams

When client development resources are unavailable or when speed matters, implement technical changes directly (templates, components, configurations)

Ensure technical SEO best practices are baked into site architecture decisions

Internal Tooling & Process Development

Help build and maintain Nectiv's internal tool stack and data infrastructure

Create reusable scripts, templates, and frameworks that standardize technical delivery

Develop internal QA and validation workflows

Evaluate and integrate new tools into the Nectiv stack

Document processes, playbooks, and technical standards

Contribute to methodology development alongside the strategy team

Requirements

3+ years of hands-on technical SEO experience

Proficiency in Python (scripting, automation, data analysis)

Strong understanding of how websites are built (HTML, CSS, JavaScript; familiarity with modern frameworks like React, Next.js, or Vue)

Strong technical SEO foundation: crawl, indexation, rendering, site architecture, internal linking, schema/structured data

Experience debugging technical issues (JavaScript rendering, crawl anomalies, indexation problems)

Experience with SEO toolsets (Screaming Frog, Google Search Console, analytics platforms, Ahrefs/SEMrush)

Comfort working on client calls in a supporting technical capacity

Strong problem-solving skills and a systems-thinking mindset

Clear written communication — able to document technical findings for both engineers and non-engineers

Preferred Experience

Experience building AI/LLM-powered workflows (LangChain, Claude Code, or similar frameworks)

Experience with workflow automation platforms (AirOps, n8n, Make, or similar)

Familiarity with AEO/GEO concepts and AI answer engine behavior

SQL and data analysis

Familiarity with cloud platforms (AWS, GCP)

Git/GitHub for version control

Experience with CI/CD pipelines or deployment workflows

Agency experience (multiple clients, diverse tech stacks)

How We Work

Remote-first environment

High ownership and trust

Systemic thinking over one-off fixes

Strong emphasis on technical quality, continuous learning, and AI integration

Compensation & Benefits

$80,000-$110,000 annually, based on experience

PTO + company holidays

Remote work support

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