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Engineering

Back-End Development Services

The APIs, services and data behind your SaaS platform or mobile app, built for the scale, security and features still to come, by founders you talk to, with a senior engineer leading and every line yours.

Talk to the founders

The engine behind your product, built to be fast, dependable and yours

Every tap, payment and search in your product ends up in the back end. It holds your business rules, keeps data consistent across channels and decides how quickly your app responds. We design and build APIs, services, data stores and integrations that stay quick under load and easy to change as your plans evolve.

Your project is led by a senior engineer, and you talk to the founders who build it rather than a salesperson. We use AI to take on repetitive work, while an engineer reviews every line and owns the architecture.

We build on open, widely used technologies and deploy into cloud accounts you control, so you are never tied to us or to a closed platform.

What we do

Back-end development services for products that need to scale

From a first API for a new product to untangling a system that has outgrown itself, we cover the server side end to end.

  • Custom back ends for busy platforms

    Business logic, booking and order flows, payments, user accounts and the APIs your web and mobile apps call, built to handle peaks in traffic without slowing down or losing data.

  • System takeover and stabilisation

  • Cloud-native modernisation

  • Architecture and roadmap design

  • APIs and integrations

  • Security and compliance reviews

Service benefits

How a strong back end pays off

  1. 01

    One version of the truth on every channel

    Customers switch between app, website and support mid-task. A well-designed back end keeps profiles, orders and bookings in sync in real time, so every touchpoint shows the same, current picture.

  2. 02

    Senior design, AI-assisted delivery

    AI drafts boilerplate, migrations and test scaffolding. Our senior engineers spend their time on data models, concurrency and the business rules that are hard to get right, and review everything that ships.

  3. 03

    Response times that feel instant

    Careful queries, caching, background jobs and the right data store for each job keep responses quick, which matters even more when AI features and live updates depend on fast lookups.

  4. 04

    Security designed in, not bolted on

    Least-privilege access, encrypted data, audited permissions and monitoring that flags unusual behaviour, including automated abuse and attempts to manipulate AI features.

  5. 05

    Freedom to change direction

    Custom services on standard technologies mean you are not boxed in by a closed SaaS tool. You own the code and infrastructure, so adding a new channel or integration is your call.

  6. 06

    Problems found before users notice

    Structured logs, metrics, tracing and alerts on every service show us where time is spent and what is failing, so issues are fixed early and releases stay calm.

Built for products used on many devices at once

Modern products rarely live on one screen. The same customer may browse on a phone, pay on a laptop and get a notification on a watch, sometimes within minutes. The back end is what keeps that experience coherent.

We design data flows around events, so a change in one place reaches every channel quickly and reliably, even when a network or a third-party service misbehaves.

What that looks like in practice:

  • Event-driven updates with queues and streams such as Kafka or managed cloud equivalents
  • Idempotent APIs, so retried requests never charge a card or book a slot twice
  • Caching with Redis where speed matters, with clear rules for when data is refreshed
  • Offline-friendly sync for mobile apps, with conflicts resolved predictably
Engineers at a glass wall sketching a system diagram of connected boxes in blue marker

Architecture styles

Modular monolith, microservices or serverless?

There is no single right architecture, only the right one for your stage, team and traffic. Many products start as a well-structured monolith and split off services only where it pays. Here is how we weigh the options with you.

Modular monolithMicroservicesServerless functions
In shortOne deployable application, divided internally into clear modules.Separate services, each owning its data and deployed independently.Small functions run on demand by the cloud provider.
Speed to startFastest: one codebase, one pipeline, simple local setup.Slower: more infrastructure, contracts and tooling up front.Fast for focused tasks and event handlers.
ScalingScales as a whole, which is enough for most products for a long time.Each service scales on its own, useful when loads differ widely.Scales automatically with demand, down to zero when idle.
Operational effortLow: one thing to deploy, monitor and secure.High: needs mature CI/CD, observability and on-call practices.Low for servers, with care needed around cold starts and limits.
Best forNew products, MVPs and small teams that want to move quickly.Large platforms with several teams and clearly separate domains.Background jobs, webhooks, scheduled tasks and spiky workloads.
Engineer typing on a laptop by a window at dusk, a mug and notebook beside them

Is your back end slowing your roadmap down? Talk to the founders who would fix it.

Contact us

Technologies

Back-end technologies we choose from

We match the stack to the job: the stability your domain needs, the speed your users expect and the skills your team already has.

Close-up of neatly bundled network cables plugged into servers with blue status lights
Node.js and NestJS

TypeScript on the server for fast-moving web products, real-time features and teams that want one language across front and back end. NestJS adds structure for larger codebases.

Python with Django and FastAPI

Django for data-rich products that benefit from a mature admin and ORM, FastAPI for lean, typed APIs, and Python wherever the back end sits close to data science or AI work.

Go

Compiled, lightweight services for high-concurrency workloads, networking and infrastructure tooling, where low memory use and predictable performance count.

.NET and Java

Strongly typed, long-lived platforms for regulated and enterprise environments such as finance and insurance, including Kotlin on the JVM where it suits the team.

Databases and caching

PostgreSQL as our default relational database, with MySQL, MongoDB and Redis where they fit, plus search engines and vector stores when products need full-text or semantic search.

Messaging and streaming

Kafka, RabbitMQ and managed cloud queues for event-driven designs, background processing and reliable communication between services.

APIs

REST with OpenAPI specifications, GraphQL where clients need flexible queries, and gRPC between internal services, all versioned and documented.

Cloud and containers

AWS, Microsoft Azure and Google Cloud, with Docker, Kubernetes where the scale justifies it, and Terraform so every environment is reproducible.

Observability

OpenTelemetry tracing, structured logging, metrics dashboards and alerting, so we can see how each request moves through your system.

How we work

How a back-end engagement unfolds

Each stage ends with something you can inspect: a document, a running service or a dashboard. A founder stays involved throughout, and nothing goes live without an engineer's review.

  1. 01

    Assess

    We study your domain, data, traffic patterns and any existing code, and agree what success looks like, from response times to recovery targets.

  2. 02

    Design

    Data models, API contracts and an architecture sketch, reviewed with you and your front-end or mobile team before building starts.

  3. 03

    Build

    Services delivered in short sprints with automated tests, preview environments and infrastructure as code from the first week.

  4. 04

    Harden

    Load testing, security checks, backup and restore drills, and monitoring with alerts tuned to what really matters.

  5. 05

    Run and evolve

    We watch production, fix issues quickly and keep improving performance and features through ongoing support and evolution.

Security

Protecting your data, your users and your reputation

The back end is where your most valuable data lives, so it is where attackers aim. We treat security as part of the design, then check it again before every major release.

As more products add AI features, new risks appear: models that can be tricked by crafted input, or that expose data they should not. We build guardrails for those too, with regulations such as GDPR and the EU AI Act in mind.

Core protections

  • Authentication and access

    Proven identity providers, multi-factor sign-in, short-lived tokens and role-based permissions checked on every request.

  • Data protection

    Encryption in transit and at rest, secrets in managed vaults, and personal data kept to the minimum your product needs.

  • Dependency hygiene

    Automated scanning of libraries and container images, with updates applied as a routine, not after an incident.

AI and automation risks

  • Prompt injection guardrails

    Input filtering, limited tool permissions and output checks, so AI features cannot be talked into actions they should not take.

  • Bot and abuse protection

    Rate limits, anomaly detection and challenge flows that slow down scrapers and automated attacks without bothering real users.

  • Audit trails

    Clear records of who did what and when, including actions taken by automated agents, for investigations and compliance.

Case studies

Recent work from Authect

Industries

Back-end development use cases by industry

Fintech

Ledgers, payment processing, reconciliation and fraud checks where correctness is non-negotiable, with idempotent transactions, strong audit trails and integrations with banks and payment providers.

Person pointing at a laptop showing charts beside printed reports and a tablet
Logistics

Shipment tracking, routing and warehouse systems that process a steady stream of location and status events, and keep customers, drivers and partners looking at the same live data.

Hands scanning a taped parcel with a handheld barcode scanner
Insurance

Rating engines, policy administration and claims workflows that connect to older core systems through well-defined APIs, so new digital channels can launch without replacing everything at once.

Hand holding a smartphone to photograph a dent on a car, car keys in hand
E-commerce

Product catalogues, pricing, inventory sync across channels and order pipelines that stay fast during promotions and keep stock levels accurate when many people buy at once.

A packer seen from behind placing knitted jumpers into a cardboard box in a fulfilment warehouse
Energy

Platforms that ingest meter and sensor readings, run billing and forecasting jobs, and expose data to customer apps and grid partners securely and on time.

Engineer holding a tablet in front of an open electrical control cabinet
Healthcare

Scheduling, records and messaging services that protect sensitive data with strict access controls and encryption, and connect safely to clinical and laboratory systems.

Doctor and patient reviewing a tablet at a desk with a stethoscope

How we cooperate

Flexible ways to build and run your back end

Fixed-price projects suit a clearly scoped API or migration, monthly sprints suit evolving platforms, and support and evolution keeps live systems healthy after launch.

  • 01

    Fixed-price project

    A clearly scoped product delivered for an agreed price and timeline. Ideal for MVPs and well-defined projects.

    Our responsibility:
    the scope, plan, budget, quality and delivery of the agreed product.
    Your responsibility:
    business context, timely feedback and sign-off on the scope.
  • 02

    Monthly sprints

    A dedicated team, led by a senior engineer, working in short sprints, billed monthly. Ideal when your priorities evolve as you learn from users.

    Our responsibility:
    the team, sprint delivery, engineering quality and transparent reporting.
    Your responsibility:
    the product vision and setting priorities with us each sprint.
  • 03

    Support and evolution

    After launch, we keep your product fast, secure and up to date, and keep shipping improvements as your business grows.

    Our responsibility:
    monitoring, updates, fixes and agreed response times.
    Your responsibility:
    reporting issues and planning the next improvements with us.

Why Authect

Why companies trust Authect with their back end

  1. 01

    Straight to the architects

    Talk directly to the founders and the senior engineer designing your system. No hand-offs, no sales layer, and no detail lost between the conversation and the code.

  2. 02

    Fast, and reviewed by people

    AI shortens the routine work, and an engineer reviews every line before it reaches production. That is how a small team delivers quickly without cutting corners.

  3. 03

    No lock-in, ever

    Code, databases and cloud accounts belong to you from day one. Our clients across Europe, the Middle East and beyond can bring the work in-house whenever they choose.

Insights

FAQs

FAQs about back-end development

How do I choose the right back-end technology for my product?

Start from your needs rather than trends: the kind of data you handle, the traffic you expect, any regulatory requirements and the skills of the team who will maintain it. We usually recommend mainstream options such as Node.js, Python, Go, .NET or Java, and explain the trade-offs in writing so you can make the call with confidence.

How long does it take to build a back end?

A focused API for an MVP can be ready in weeks, while a platform with many integrations is delivered in stages over several months. After a short assessment, we give you a plan with milestones, so you know what will be live and when.

How much do back-end development services cost?

It depends on the scope, the number of integrations and how demanding your performance and security needs are. We offer fixed-price projects for well-defined work and monthly sprints when priorities are still moving. The founders give you the estimate themselves, after understanding what you need.

What is a back-end API?

An API, or application programming interface, is the set of rules your apps use to talk to the server: to sign in, fetch data or place an order. A good API is predictable, documented and versioned, so your web and mobile apps, and your partners, can rely on it as the product changes.

Which languages are most common for back-end development?

JavaScript and TypeScript with Node.js, Python, Java, C# with .NET, Go and PHP are among the most widely used. Each has strengths: Node.js for real-time web products, Python for data and AI, Go for high-concurrency services, and Java or .NET for large enterprise systems.

Can you work with our existing systems and team?

Yes. We often extend or stabilise back ends that others started, and we work alongside in-house engineers. We begin with a review, agree conventions with your team and leave documentation behind, so everyone can keep working on the system with confidence.

Who owns the code and the infrastructure?

You do, from day one. Repositories, databases and cloud accounts are set up in your name, and we work inside them. There is no lock-in: you can keep working with us, take the system in-house or hand it to someone else.

Tell us what you’re building. A founder replies within one working day, and builds it with you.

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