Backend Engineer

DO:

• •Include REST/gRPC API scale and latency improvements.
• •Show caching, rate-limiting, or load balancing techniques.
• •Highlight CI/CD success rates.
• •Mention database optimizations.

DON'T:

• •Use generic 'developed APIs' statements.
• •Ignore backward compatibility or documentation.
• •Skip async/event-driven architecture contributions.
• •Exclude team collaboration metrics.

DO:

• •Include infra tuning achievements.
• •Mention Kafka/RabbitMQ pipelines.
• •Highlight caching strategies (Redis).
• •Quantify traffic handling (DAUs, spikes).

DON'T:

• •Exclude cost savings from infra optimization.
• •Skip load testing or circuit breaker strategies.
• •Leave out multi-region failover contributions.
• •Forget to link improvements to user experience.

DO:

• •Mention collaboration with QA, frontend, and DevOps.
• •Show test coverage and pipeline automation impact.
• •Include monitoring/observability stack contributions.
• •Highlight PR review impact on code quality.

DON'T:

• •Skip cross-team contributions.
• •Ignore CI/CD failures resolved.
• •Overload with tools not used in production.
• •Exclude backward compatibility practices.

Performance Metrics:

• •Improved throughput by 70%
• •Reduced API error rate from 3% to 0.5%
• •Reduced response times by 45%
• •Achieved >95% CI/CD success rate

Scale Metrics:

• •Handled 10M+ DAUs
• •Managed 50M+ transactions/month
• •Reviewed 300+ PRs
• •Migrated monolithic app to modular architecture

Business Metrics:

• •Reduced infra costs by 25%
• •Improved checkout experience globally
• •Enabled real-time loan disbursal for fintech clients
• •Boosted team productivity via caching & monitoring improvements

Backend Technologies:

Java, Go, Python, Node.js, Spring Boot, gRPC

Infrastructure:

Docker, Kubernetes, Kafka, RabbitMQ, Redis, Elasticsearch

Practices:

Microservices, Event-Driven Architecture, CI/CD, Load Testing, Caching Strategies