Backend System Design and Development

Design robust, developer-friendly REST, GraphQL, and gRPC APIs with expert guidance on contracts, versioning strategies, backward compatibility, and OpenAPI specification.

Build comprehensive observability into backend systems using distributed tracing, structured logging, and metrics. Get expert guidance on OpenTelemetry, alerting design, and SLO-based reliability engineering.

Diagnose and resolve backend performance bottlenecks in APIs, databases, and server-side systems. Expert guidance on profiling, caching strategies, query optimization, and throughput scaling.

Harden backend systems against OWASP threats, injection attacks, authentication flaws, and data exposure. Get expert security review, threat modeling, and secure coding guidance for server-side code.

Design reliable background job processing systems with Sidekiq, Celery, BullMQ, and cloud queues. Expert guidance on job idempotency, retry logic, priority queues, and worker scaling.

Design multi-layer caching architectures for high-performance backend systems using Redis, Memcached, CDN, and application-level caches. Expert guidance on invalidation, consistency, and cache topology.

Design normalized, performant relational and NoSQL database schemas with expert guidance on indexing strategies, query optimization, and data modeling for scalable backend systems.

Design fault-tolerant, scalable distributed systems with expert guidance on consensus, partitioning, replication, and CAP theorem trade-offs for production environments.

Design robust event-driven systems with Kafka, RabbitMQ, and cloud event buses. Expert guidance on event sourcing, CQRS, message schemas, ordering guarantees, and consumer group patterns.

Decompose monolithic backends into well-bounded microservices using domain-driven design. Get guidance on service boundaries, inter-service communication, and migration strategies.