Backend & Platform Engineering
The systems behind the experience
The product is only as strong as what runs underneath it.
Backend architecture, APIs, databases, integrations and infrastructure decide how fast, safe and dependable a product feels, and whether it keeps feeling that way as usage grows.
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Capabilities
Everything the product stands on.
Twelve disciplines, one platform team. Hover a row to see each one at work.
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01
APIs
Versioned REST and GraphQL APIs with clear contracts, pagination and consistent errors.
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02
Backend Systems
Services organised by domain, with clean boundaries so teams can ship independently.
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03
Database Architecture
Schemas, indexes and migrations designed around the queries you actually run.
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04
Authentication
Sessions, OAuth, SSO and roles, implemented once and enforced everywhere.
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05
Payments
Checkout, subscriptions and refunds with idempotency and a ledger you can reconcile.
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06
Queues
Durable queues that keep slow work away from fast responses.
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07
Background Jobs
Scheduled and event-driven jobs with retries, backoff and full visibility.
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08
Integrations
Dependable links to CRMs, ERPs and third-party APIs, with signed webhooks both ways.
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09
Caching
Redis and edge caching with sensible invalidation, so hot paths stay fast.
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10
Observability
Metrics, structured logs and traces that explain what happened, and why.
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11
Infrastructure
Networks, clusters and databases defined as code, reproducible in any region.
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12
CI/CD
Pipelines that test, build and roll out every change safely, with instant rollback.
System architecture
One request, six layers deep.
Hover a layer to pull it out of the stack. Every request passes through all six on its way down and back.
Web, mobile and partner apps. Every request carries an identity and a trace ID from its very first hop.
- Requests
- 12.4k/s
- Edge p95
- 38 ms
- Apps
- 4
Authentication, rate limiting and routing at the edge, so services only see requests that should reach them.
- Routes
- 186
- Rate limit
- 600/min
- Blocked
- 0.3%
Domain services that own their data and talk through clear APIs and events, so each can change on its own.
- Services
- 9
- Replicas
- 42
- Deploys/week
- 31
A primary with read replicas, a cache in front and backups that are tested, not assumed.
- Queries
- 8.1k/s
- Cache hit
- 94%
- Restore point
- 5 min
Queues and workers take slow or unreliable work off the request path and retry it safely.
- Jobs
- 2.3k/min
- Queue lag
- 0.4 s
- Retried
- 0.2%
Containers, managed databases and networking, defined as code and spread across three zones.
- Zones
- 3
- Nodes
- 18
- Uptime
- 99.99%
Reliability
Built for when things get busy.
One illustrative launch-day hour: traffic up nine-fold, a bot attack and a lost zone. Select a pillar to see how it holds.
Autoscaling services, connection pooling and read replicas absorb sudden surges while response times stay where they were.
- Horizontal autoscaling
- Read replicas
- Load shedding
Rate limits, a web application firewall and least-privilege access keep abuse out, even when it arrives with the rush.
- WAF & rate limits
- Secrets management
- Audit logs
Caching, efficient queries and latency budgets keep responses fast when load is at its highest.
- Latency budgets
- Query tuning
- Edge caching
Metrics, logs and traces in one place, with alerts that fire on the symptoms your users would notice.
- Distributed tracing
- SLO alerts
- Runbooks
Multi-zone deployments, automatic failover and tested backups turn a failure into a blip rather than an outage.
- Multi-zone failover
- Point-in-time restore
- Game days
Engineering process
From first diagram to a platform at scale.
Reliability is designed in at the start and proven before launch, not added after the first incident.
- 01
Architecture
Domains, data model, APIs and failure modes, mapped before code.
System design - 02
Build
Services, schemas and integrations in small, reviewed increments.
Working services - 03
Test
Unit, contract and load tests that run on every change.
Test suites - 04
Harden
Security review, rate limits, backups and chaos drills.
Hardening report - 05
Deploy
Infrastructure as code and canary releases with instant rollback.
Live platform - 06
Monitor
Dashboards, traces and SLO alerts from the first day in production.
SLOs & alerts - 07
Scale
Capacity planning, tuning and new regions as usage grows.
Scaling plan
Next step
Solid underneath. Fast on top.
Tell us what your product needs to handle, today and at ten times the size. We’ll design the platform to match.
Build the system behind your product