AJAY PRAJAPAT

Principal Engineer, Backend & Platform | Distributed Systems, Platform Engineering, Reliability

ajayprajapat@live.com+91-87699-62237linkedin.com/in/ajayprajapatUdaipur, India

Professional Summary

Principal Platform Engineer with 12+ years of experience building the backend and delivery foundations that enable teams to ship reliable systems at scale. Defines platform direction across CI/CD, service templates, observability, deployment patterns, and operational guardrails to reduce duplication and improve engineering throughput. Known for converting recurring delivery and operability problems into reusable platform capabilities, clearer standards, and lower-risk engineering workflows across teams. Ajay operates at the intersection of backend architecture strategy, platform leverage, and engineering execution. He defines target-state architecture for services and internal platforms, then drives adoption through standards for APIs, messaging, observability, CI/CD, and cloud delivery. His strongest Principal-level contribution is turning recurring engineering and operability problems into reusable platform capabilities, clearer architectural guardrails, and long-term technical direction across multiple teams.

Core Competencies

Scalable Backend Systems

Builds modular services, background workflows, and integration layers that stay reliable as product and traffic complexity grow.

System Design & Architecture

Translates product and platform goals into service boundaries, deployment patterns, and maintainable technical direction.

API Design & Integrations

Defines clean contracts for frontend, backend, and third-party integrations with an emphasis on consistency and operational clarity.

Cloud & DevOps Delivery

Improves release reliability through containerized delivery, deployment automation, and production-ready cloud operating patterns.

AI Integration & Automation

Integrates LLM, retrieval, and agentic workflows into production systems with guardrails, observability, and real business use cases.

Performance & Event Processing

Uses caching and asynchronous messaging to improve throughput, reduce latency, and isolate failures in production workflows.

Technology Stack

Frontend

TypeScript

Backend

Node.js, NestJS, Express.js, Java, Spring Boot, Go

Architecture

Distributed Systems, Microservices, Event-Driven Architecture, CQRS, Domain-Driven Design (DDD), Platform Engineering

APIs

REST APIs, GraphQL, WebSockets, Kafka, RabbitMQ, Redis

DevOps

AWS, Azure, Docker, Kubernetes, CI/CD, GitHub Actions

AI / Automation

RAG

Selected Highlights