Backend Engineering & Distributed Systems
Learn backend engineering, APIs, PostgreSQL, Redis, Kafka, Docker, gRPC and distributed systems through production-oriented engineering projects.
The VidhaiX Backend Engineering program teaches developers how to design scalable APIs and distributed systems using Node.js, Go, PostgreSQL, Redis, Kafka, Docker, REST and gRPC.
Who Is This Course For?
Backend Engineer / Systems Engineer / API Architect
₹9L - ₹18L CTC
Live code reviews, debugging guidance, and small learning cohorts.
How Does Mentorship Work?
Build and ship working software instead of passive video recordings.
Senior engineers inspect your Pull Requests and teach clean architectural habits.
Resume optimization, mock technical interview grilling, and direct hiring referrals.
How Does the Curriculum Work?
Structured progressive modules designed to build compounding engineering mastery.
Protocols, Concurrency & Networking Internals
HTTP/2, gRPC, TCP socket internals, event loop mechanics, non-blocking I/O, and thread concurrency.
HTTP/2, gRPC, TCP socket internals, event loop mechanics, non-blocking I/O, and thread concurrency.
PostgreSQL Architecture & Query Optimization
Relational schema design, B-Tree and GIN indexing, EXPLAIN ANALYZE profiling, transaction isolation, and sharding.
Relational schema design, B-Tree and GIN indexing, EXPLAIN ANALYZE profiling, transaction isolation, and sharding.
Distributed Caching, Event Streams & Message Queues
Redis caching strategies, pub/sub channels, event brokers with Apache Kafka, consumer groups, and worker pools.
Redis caching strategies, pub/sub channels, event brokers with Apache Kafka, consumer groups, and worker pools.
Load Testing, Observability & Distributed Capstone
Load testing under 10,000 RPS, OpenTelemetry tracing, Prometheus metrics dashboards, and distributed system capstone.
Load testing under 10,000 RPS, OpenTelemetry tracing, Prometheus metrics dashboards, and distributed system capstone.
What Projects Will You Build?
Real applications with production architectures to showcase on your GitHub profile and resume.
Distributed Rate Limiter & API Gateway
Token bucket and sliding window rate limiter backed by Redis cluster supporting thousands of concurrent requests.
High-Throughput Order Processing Queue
Event-driven order ingestion architecture handling concurrent financial transactions via Apache Kafka.
Real-Time Double-Entry Financial Ledger
ACID-compliant ledger with distributed transactions, idempotency keys, and automated reconciliation.
Frequently Asked Questions
What is backend engineering?
Backend engineering involves building server-side logic, database architectures, microservices, APIs, and systems that process and secure application data.
Why learn Kafka and Redis?
Modern large-scale applications require caching layers (Redis) to serve sub-millisecond reads and message queues (Kafka) to decouple asynchronous workflows.
What roles does this program prepare me for?
Backend Engineer, SDE-2 Backend, API Architect, and Distributed Systems Engineer.
Ready to master Backend Engineering & Distributed Systems?
Speak directly with our technical admissions mentor to discuss batch timings, prerequisites, fee plans, and career placement options.