Back-End Engineer
Open a video or resource link, watch it, then check its box to track your progress and unlock what comes next.
- Build secure APIs and durable persistence with clear service contracts
- Design distributed, event-driven systems that survive retries, partial failure and scale
- Own security, performance, reliability and operations for production backend services
Benchmark: Stripe API Platform + Anthropic Staff+ Software Engineer, Backend (current Sep 2026) + distributed-systems and API engineering practices from leading cloud platforms Market refresh: service boundaries, API contracts, SQL/NoSQL persistence, auth, event-driven systems, caching, distributed consistency, testing, observability, security, CI/CD, incident response and scalable reliability.
Search Live Openings
We don’t have a direct job-board feed matched to this one yet, so here are real, live US job searches for “Back-End Engineer” instead.
Build secure APIs and durable persistence with clear service contracts
API/service design + backend implementation
Coverage: REST / RPC / Service Boundaries / Validation / Versioning / Python-Go-Node
Persistence, data models + system design
Coverage: SQL / NoSQL / Transactions / Caching / Storage Tradeoffs / Data Models
Design distributed, event-driven systems that survive retries, partial failure and scale
Events, queues, webhooks + reliable integration
Coverage: Event-Driven / Kafka-Style Messaging / Idempotency / Retries / DLQ / Contracts
API security + distributed failure modes
Coverage: OAuth/OIDC / OWASP API / Rate Limits / Consistency / Backpressure / Resilience
Own security, performance, reliability and operations for production backend services
Performance, scalability + efficiency
Coverage: Caching / Load Balancing / Profiling / Capacity / Latency / Cost
Delivery, observability + incident ownership
Coverage: CI/CD / Containers / Logs-Metrics-Traces / On-Call / Postmortems / Rollback
Role-Readiness Proof / Capstone
Complete a 5-day Back-End Systems Lab: build a versioned authenticated API with SQL persistence; add cache and one asynchronous/event workflow with idempotency, retries and DLQ; document contracts; load-test throughput and p95 latency; add rate limits, security tests and failure injection; deploy via CI/CD with logs, metrics, traces and SLOs; run an incident drill and write a postmortem plus rollback plan.
Proof Rubric
- Clear service/API boundaries
- correct persistence and transaction logic
- secure auth and input handling
- idempotent event processing
- contract and integration tests
- quantified performance
- resilience under partial failure
- observable SLOs
- reliable CI/CD and rollback
- incident ownership
- justified tradeoffs across latency, consistency, cost and complexity