Search Atlas Tech Stack

Agentic SEO platform with white-label capabilities for agencies

Software Development New York, New York 51–200 employees Privately Held

Search Atlas builds an SEO software suite centered on real-time auditing, content generation, and competitive analysis. The tech stack—Django + Python backend, React + Next.js frontend, Kubernetes + ArgoCD for orchestration, ClickHouse for analytics, and Claude for AI features—reflects an engineering organization scaling toward AI-native workflows. Hiring velocity is decelerating despite 59 open roles, with senior engineers and leads comprising the bulk of active candidates, suggesting a maturity phase focused on backend architecture and platform reliability rather than headcount expansion.

Tech Stack 88 technologies

Core StackDjango Python TypeScript React Next.js Kubernetes ArgoCD GitLab PostgreSQL ClickHouse Redis Celery MySQL Node.js Figma Adobe Illustrator After Effects Meta Ads Cursor Sentry Datadog Docker Compose GCP Flake8 Django REST Framework Photoshop LinkedIn Claude ChatGPT Groq+54 more

AdoptingClaude

What Search Atlas Is Building

◆Challenges

Performance bottlenecks
Scaling web infrastructure
Improving website conversion rates
Scalability challenges
Scaling backend foundations
Scaling backend applications
Scaling innovative products
Website performance on google
Scaling backend services
Maintainability issues

▲Active Projects

Scalable architecture design
Seo intelligence platform backend
Cross-product backend initiatives
Llm-generated insights framework
Fault-tolerant background task processing
Website and landing page design
Scalable django rest applications
Advocate tracking
Implement csm rocks and eos framework
Ai-powered seo software

Hiring Activity

Decelerating60 roles · 15 in 30d

Department

Engineering

Marketing

Design

Support

Product

Ops

Data

Finance

Seniority

Senior

Lead

Mid

Principal

C-Level

Manager

Notable leadership hires: Customer Success Team Lead, Chief Technology Officer

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About Search Atlas

Search Atlas provides an all-in-one SEO and AI visibility platform designed for site owners, agency founders, and SEO professionals. The product is distributed through a white-label model used by 5,000+ agencies and includes real-time SEO auditing, 24/7 issue tracking, backlink analysis, and an AI-powered content assistant. The company operates from New York with 51–200 employees and hires across 20 countries spanning North America, South America, Africa, South Asia, and Europe. Core technical challenges center on scaling backend infrastructure, improving website performance metrics, and integrating LLM-generated insights at scale.

HeadquartersNew York, New York

Company Size51–200 employees

Hiring MarketsBrazil, Kenya, Colombia, Ghana, Uganda, Chile, Albania, India

Frequently Asked Questions

What tech stack does Search Atlas use?

Backend: Django, Python, PostgreSQL, MySQL, Redis, Celery. Frontend: React, Next.js, TypeScript. Orchestration: Kubernetes, ArgoCD, Docker Compose. Analytics: ClickHouse. AI/ML: Claude, ChatGPT, Groq. DevOps: GitLab, GCP. Monitoring: Sentry, Datadog.

What is Search Atlas building?

Focus areas include scalable backend architecture, LLM-generated insights frameworks, fault-tolerant background task processing, white-label platform infrastructure, and SEO intelligence platform capabilities. Website performance and conversion optimization are active workstreams.