01
API development
REST and GraphQL APIs with versioning, pagination, rate limiting and documentation your consumers can actually use.
Backend Development Services
The engine room behind every reliable product.
If the frontend is the body of your application, the backend is its brain. mVerve designs, builds and modernises the server side of your product: APIs, business logic, data models, integrations and the cloud infrastructure that keeps all of it running.
99.9%
Uptime targets delivered
300+
APIs designed and shipped
40+
Backend engineers
13 yrs
Building server side systems
Engagement Snapshot
Assessment
1 to 2 weeks
Build
6 to 10 weeks
Uptime target
99.9%
The nerve centre of your application
Backend work decides whether the product holds up.
Backend development is the binding force of an application. It controls what happens on the server, whether on premise or in the cloud, constantly receiving inputs from the frontend, processing data, enforcing business rules and returning results while keeping everything well harmonised.
It covers writing, optimising and deploying intricate server side code: API layers, authentication, queues and jobs, reporting pipelines, integrations with CRM, ERP and payment platforms, and the data model that all of it depends on.
mVerve builds these systems for enterprises and funded product teams. We are deliberate about architecture, honest about trade offs, and we leave behind documentation and tests so your own engineers can carry the system forward.
Architect systems that stay fast as your data and traffic grow
Write clean, tested, documented server side code your team can own
Secure every endpoint, secret and data path by default
Work as one team with your product, frontend and DevOps people
13+
Years delivering enterprise programs
150+
Projects shipped across four continents
40+
Certified engineers, consultants and testers
98%
Client retention across managed engagements
Our backend services
From first endpoint to steady state operations.
02
Microservices architecture
Service boundaries drawn around business capabilities, with messaging, retries and observability built in.
03
Database design
Schema modelling, migrations, indexing and query optimisation for relational and document stores.
04
Cloud and DevOps
AWS, Azure and GCP deployments with infrastructure as code, CI/CD pipelines and autoscaling.
05
Legacy modernisation
Strangle monoliths into services incrementally, keeping the business running through every step.
06
Third party integrations
Payments, CRM, ERP, logistics and messaging platforms wired together with resilient contracts.
07
Security and compliance
Authentication, authorisation, encryption at rest and in transit, audit trails and least privilege access.
08
Performance engineering
Load testing, caching layers, query tuning and capacity planning against real traffic patterns.
Technologies we use
A stack chosen for your workload and your team.
Node.js
Java and Spring
Python
.NET
PHP and Laravel
PostgreSQL and MySQL
MongoDB and Redis
TypeScript
Node.js
Event driven services and real time APIs on a runtime built for high concurrency workloads.
Java and Spring
Enterprise grade services where transaction integrity, tooling and long term support matter.
Python
Django and FastAPI services for data heavy products, automation and AI backed features.
.NET
C# services that fit neatly into Microsoft centric estates and Azure hosting.
PHP and Laravel
Pragmatic, fast to ship backends for content, commerce and portal workloads.
PostgreSQL and MySQL
Relational schemas, indexing strategies and query tuning done by people who read execution plans.
MongoDB and Redis
Document stores and caching layers where flexible shapes or sub millisecond reads are the requirement.
TypeScript
Shared types across API and client so contracts break at build time, not in production.
Why mVerve
Engineers who think about the third year, not just the first release.
Systems that stay understandable, affordable and safe to change long after launch.
Architecture first
Every engagement starts with a written architecture note covering data flow, failure modes and scaling limits before code begins.
Built to be handed over
Readable code, automated tests, runbooks and diagrams so your in house team can take ownership whenever they choose.
Observability by default
Structured logs, metrics and traces from the first sprint, so production questions have answers in minutes.
Cost aware engineering
Right sized instances, sensible caching and query discipline keep your monthly cloud bill defensible.
Security reviewed
Threat modelling, dependency scanning and secret management reviewed by our cyber security practice.
Support after launch
SLA backed maintenance, on call rotations and quarterly health checks for the systems we build.
How the work runs
A delivery rhythm you can plan around.
01
Discover
Workshops to map processes, systems and the outcome you are measured on.
02
Design
Solution blueprint, data model and delivery plan agreed before we build.
03
Build
Two week sprints with working software and a demo at the end of each one.
04
Launch
Migration, UAT, enablement and a cutover plan your teams can rehearse.
05
Support
Managed support, enhancements and quarterly roadmap reviews.
How we work
Assess. Design. Build. Operate.
01
Assess
Review current systems, data volumes, integrations and pain points, then agree the target architecture and non functional requirements.
02
Design
Define service boundaries, data models, API contracts and deployment topology, reviewed with your engineering leads.
03
Build
Iterative delivery with automated tests, code review, CI/CD and a working environment from the first sprint.
04
Operate
Load testing, observability, runbooks and knowledge transfer, followed by ongoing support and tuning.
Business outcomes
What our backend engagements deliver.
Predictable performance
Response times that hold steady through peak load instead of degrading quietly.
Faster releases
Automated pipelines and test coverage cut the distance between merge and production.
Lower running cost
Efficient queries and right sized infrastructure reduce spend without risking headroom.
Room to grow
Service boundaries and data models that absorb new products instead of blocking them.
“The mVerve team rebuilt our integration layer without a single day of downtime. Orders that used to sit in a queue for hours now reach the plant floor in seconds, and we finally have visibility when something fails.”
How we work
Three commitments on every engagement.
Measured outcomes
Every engagement starts with the metric that has to move and reports against it.
Built to audit
Security, access control and documentation handled as part of delivery, not after.
AI where it pays
Automation and models applied to the steps that actually cost your teams time.
Engagement models
Pick the shape of team that fits your plan.
Fixed scope build
Dedicated team
Managed support
Some clients come to us with a defined outcome: an API platform, a migration off a legacy database, an integration between ERP and commerce. For those we scope the work, fix the milestones and deliver against them.
Others need capacity. We place senior backend engineers inside your existing team, working your sprints and your standards, with our architects available for review when a decision needs a second opinion.
Once a system is live we can keep it healthy: monitoring, patching, dependency upgrades, incident response and quarterly performance reviews under an agreed service level.
FAQ
Frequently asked questions.
Still weighing a stack, a rebuild or a team shape? Tell us the context and we will give you a straight answer.
Talk to a backend engineerWhich backend stack should we choose?
It depends on your team and workload. Node.js suits real time and API heavy products, Java fits transaction critical enterprise systems, Python works well for data and AI features, and .NET is the natural pick inside Microsoft estates. We recommend based on your hiring plan as much as the technology.
Can you work with our existing backend?
Yes. Most of our engagements start with an existing system. We review the codebase and data model, agree the highest value changes, and improve it incrementally rather than proposing a rewrite by default.
Do you handle cloud infrastructure and deployment?
We do. Infrastructure as code, CI/CD pipelines, environment strategy, monitoring and alerting are part of the engagement on AWS, Azure or GCP.
How do you keep our data secure?
Least privilege access, encrypted storage and transport, managed secrets, dependency scanning and audit logging. Our cyber security team reviews the design and runs vulnerability assessment before go live.
How long does a backend engagement take?
A focused API or integration build usually runs 6 to 10 weeks. A platform rebuild or monolith decomposition typically spans 4 to 8 months, delivered in phases with something usable at the end of each one.
Can you provide dedicated backend engineers?
Yes. You can engage a full delivery team or add senior backend engineers to your existing team through our staff augmentation practice.
Ready when you are
Build a backend that never becomes the bottleneck.
Tell us about your current stack, data volumes and roadmap. We will come back with an architecture view, a team shape and a realistic timeline within 48 hours.
AI first engineering
Backends ready to serve models.
AI features live or die on the backend. We build the retrieval, queuing, caching, and cost controls that keep them fast and affordable.
-
Retrieval services
Embedding pipelines and vector search kept current as your content changes.
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Model gateways
Provider agnostic routing with caching, rate limits, and spend visibility.
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Evaluation and logging
Prompt versions, outputs, and quality scores recorded for every release.