Software Engineering
Backend Systems
Postgres, Redis, and event-driven APIs that survive real traffic.
99.95%
API uptime
4–16 wk
Typical timeline
40+
Backends shipped
<50ms
P95 read latency target
PostgresRedisKafkaTypeScriptPythonTemporalAWSDatadog
99.95% uptime across production API platforms we've built and operated.
Book a scoping callWhat's included
Data modeling & migrations
Schemas designed for query patterns, with forward-compatible migrations and zero-downtime cutover playbooks.
Event-driven architecture
Kafka, SNS/SQS, or Temporal for async work — idempotent consumers, dead-letter queues, and replay tooling.
Caching & performance
Redis layers, read replicas, connection pooling, and query profiling — tuned on production traffic, not benchmarks.
Background jobs
Reliable job queues with retries, scheduling, and observability — billing runs, emails, and ETL without silent failures.
Integration webhooks
Stripe, Shopify, and partner webhooks with signature verification, idempotency keys, and reconciliation dashboards.
Operational runbooks
On-call playbooks, backup verification, and incident response procedures documented before go-live.
How we work
Week 1
Architecture & data model
Entity relationships, query patterns, and failure modes mapped before implementation.
Week 2–6
Core services
API layer, persistence, auth integration, and first async workflows in staging.
Week 6–12
Integrations & hardening
Partner webhooks, rate limiting, load tests, and monitoring wired to real alerts.
Week 12+
Operate & transfer
Runbooks, dashboards, and pairing with your team for ongoing ownership.
From Evolve Edge
“Production-ready means your auditors, your ops team, and your on-call engineers all agree the system is sound. We build for that standard from day one.”
FAQ
Postgres or something else?
Postgres is our default for transactional workloads. We use ClickHouse, DynamoDB, or Elasticsearch when the access pattern demands it.
Can you scale our existing backend?
Yes. We profile under load, fix hot paths, and add caching or read replicas before rewriting anything.
How do you handle database migrations in production?
Expand-contract pattern, dual writes where needed, and rehearsed cutovers — no big-bang schema swaps.
Do you provide ongoing SRE support?
Yes. Retainers for on-call, incident response, and capacity planning are available post-launch.
Related services
Ready to scope this?
Start your Backend Systems engagement
A senior engineer will review your project and reply within one business day with a clear next step.