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We are hiring an extremely high-level full stack developer to work directly with founders on building large-scale internal systems, automation infrastructure, AI-powered workflows, CRMs, operational dashboards, and high-performance backend architectures.
This is NOT a normal developer role.
We are looking for someone who can think like a systems architect, execute like a senior engineer, and leverage AI tools to produce the output of an entire tech team.
Location:
Noida (Full Time In Office)
Required Mindset:
– Extremely fast executor
– AI-native workflow user
– Can independently build systems from messy business requirements
– Obsessed with automation and operational efficiency
– Strong debugging mindset
– Comfortable handling scale, ambiguity, and rapid pivots
– Ownership mentality (not task mentality)
Core Skills Required:
– Strong backend architecture experience
– Strong database design and optimization
– API integrations
– Automation systems
– Real-time event processing
– CRM/dashboard development
– AI/LLM integration experience
– Webhook systems
– Queue systems
– Logging/audit systems
– Role-based admin systems
Preferred Tech Stack Experience:
– Python / Django
– Node.js
– Vue / NuxtJS or React / NextJS
– PostgreSQL / MySQL
– Redis
– Docker
– WebSockets
– AI APIs + local LLM workflows
– WhatsApp API / Meta API experience is a plus
IMPORTANT:
We care more about:
– problem-solving ability
– system thinking
– speed
– AI leverage
– architecture understanding
than specific frameworks.
You should be capable of:
– building full internal platforms from scratch
– understanding business logic quickly
– designing scalable backend systems
– using AI tools heavily for accelerated execution
– handling production-level debugging independently
Bonus If You Have Experience In:
– high-scale backend systems
– fintech-style reconciliation systems
– operational dashboards
– automation-heavy businesses
– Igaming / real-time systems
– event-driven architectures
Interview Process:
Step 1 → Practical architecture discussion
Step 2 → Live system-thinking test
Step 3 → Paid trial task
Salary:
Compensation: Above market for the right candidate. Final offer will depend on skill level, system-building ability, AI workflow maturity, and practical test performance.
To apply:
Send:
– resume
– GitHub
– portfolio/projects
– tech stack
– examples of systems you built personally
– AI tools/workflows you actively use
- – expected salary
Send your Resume to:
- hr@qbohr.com