We are building scalable, AI\-driven products focused on high\-performance backend systems, distributed architectures, and intelligent automation workflows. Our engineering culture emphasizes ownership, fast execution, clean architecture, and solving real\-world scalability problems.
We are looking for engineers who are genuinely strong in backend engineering — not just frontend\-heavy “full stack” developers. The ideal candidate should be capable of independently designing, debugging, scaling, and owning production backend systems.
· Backend Platform Engineering
· AI\-Driven Product Engineering
· Forward Deployment Engineering (FDE)
· Distributed Systems \& Infrastructure
· AI Workflow Orchestration
We are specifically looking for engineers whose recent experience (last 2–3 years) has been heavily backend\-oriented.
· Scalable backend systems
· Distributed architectures
· Event\-driven systems
· Queue\-based async processing
· Database optimization
· Production debugging
· Cloud\-native deployments
· AI\-integrated backend workflows
· Design and build scalable backend services using Node.js and TypeScript
· Architect REST APIs, GraphQL services, and event\-driven systems
· Build high\-performance distributed systems capable of handling large\-scale workloads
· Implement async processing pipelines using queues and messaging systems
· Optimize backend latency, throughput, and reliability
· Design scalable microservices architectures
· Solve production bottlenecks involving APIs, databases, queues, and infrastructure
· Improve performance through caching, indexing, partitioning, and query optimization
· Build resilient systems with retries, idempotency, monitoring, and observability
· Work on AI\-driven workflows, orchestration systems, and automation pipelines
· Integrate LLM\-powered systems into backend products
· Build scalable backend foundations for AI\-enabled products
· Collaborate on future\-ready AI engineering initiatives
· Deploy and maintain cloud\-native applications
· Work with CI/CD pipelines and containerized deployments
· Contribute to infrastructure reliability, monitoring, and operational excellence
· Participate in production incident debugging and root\-cause analysis
· Node.js
· TypeScript
· Express.js / NestJS / Fastify
· REST APIs
· GraphQL
· PostgreSQL
· MongoDB
· Redis
· indexing
· query optimization
· pagination
· caching strategies
· database scalability
· RabbitMQ
· Kafka
· BullMQ
· SQS
· retries
· idempotency
· async workflows
· event\-driven architecture
· queue failure handling
· AWS / GCP / Azure
· Docker
· CI/CD pipelines
· monitoring
· observability
· production deployments
· logging
· cloud\-native systems
Candidates with exposure to any of the following will have strong advantage:
· Elasticsearch / OpenSearch
· Workflow orchestration systems
· Airflow / Temporal
· Kubernetes
· AI orchestration frameworks
· LangChain / LangGraph
· Vector databases
· RAG pipelines
· Real\-time systems
· WebSockets
· Multi\-tenant SaaS architecture
This role is NOT ideal for candidates whose recent experience is primarily:
· React/UI\-heavy development
· Component\-only frontend work
· Styling/UI optimization
· API integration\-only frontend roles
· debug production backend issues
· design scalable systems
· optimize databases
· own backend architecture
· handle infrastructure\-level problems
· Take strong ownership
· Think in systems, not just features
· Debug deeply instead of superficially
· Care about scalability and reliability
· Learn quickly and adapt to evolving AI ecosystems
· Can work across backend, infra, and product challenges
· Backend fundamentals
· Node.js depth
· DB optimization
· Distributed systems
· Scenario\-based problem solving
· Production debugging discussions
· Backend architecture
· Async workflows
· Scalability design
· Coding evaluation
· API/system implementation
· Ownership
· Decision making
· Communication
· AI adaptability
· Engineering maturity
· Have built scalable systems from scratch
· Have handled production incidents independently
· Have worked in high\-scale SaaS products
· Have backend\-heavy recent experience
· Are experimenting with AI engineering workflows
· Think beyond CRUD APIs
· Work on next\-generation AI\-driven systems
· High ownership engineering culture
· Opportunity to grow toward platform/FDE engineering
· Solve real scalability and architecture challenges
· Fast\-moving product environment with strong technical focus
Pay: ₹1,000,000\.00 \- ₹2,500,000\.00 per year
Work Location: Hybrid remote in Visakhapatnam, Andhra Pradesh
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