Backend Development Services
BACKEND SYSTEMS,
BUILT FOR PRODUCTION.
Add senior backend engineers working across Java, Kotlin, TypeScript, Go and Python. We design, build and operate APIs, distributed services, integrations and cloud infrastructure from first commit to production.
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Senior backend capacity
Engineers Who Own
The Work Behind the Product.
Embed one or more senior backend engineers in your existing team, or give a Makers’ Den team ownership of a service, migration or platform workstream.
Our engineers work directly with your technical team from architecture and implementation through deployment, monitoring and ongoing improvement.
Where we help
Build. Improve.
Operate.
Bring us a new platform, a backend that needs attention or a team that needs more senior delivery capacity.
New Backend Systems
Design and deliver APIs, services and cloud infrastructure for a new product without creating an operational burden for the team that inherits it.
Critical Existing Systems
Improve reliability, performance and maintainability while production stays live. Modernize incrementally when a full rewrite would add unnecessary risk.
Senior Team Augmentation
Add experienced backend engineers who can enter an established codebase, make sound technical decisions and deliver without layers of coordination.
Languages and frameworks
One Team.
Many Ecosystems.
Java and Kotlin: Spring Boot, Spring Cloud, Ktor and production JVM services.
TypeScript: Node.js, NestJS, Fastify and Express.
Go: Efficient APIs, concurrent services and infrastructure tooling.
Python: FastAPI, Pydantic, SQLAlchemy and Django, including AI and data-intensive services.
We choose the ecosystem that fits your product, team and operating model.
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APIs and integrations
Clear Contracts.
Integrations That Hold.
Build REST APIs from OpenAPI specifications, with generated documentation, versioning and contract tests. Use GraphQL or gRPC with Protocol Buffers when the use case calls for them.
Connect internal systems, SaaS platforms and external partners through webhooks, queues and well-defined adapters. Authentication, authorization, idempotency, rate limits and failure handling are part of the design, not follow-up tasks.
We work with OAuth 2.0, OpenID Connect, JWT, RBAC, Swagger UI, Pact and the testing approach already used by your engineering organization.
Production architecture
Data. Events.
Reliable Systems.
The hard part is not naming the technology. It is making the whole system predictable under load, during failures and while it changes.
Data and Caching
PostgreSQL, MySQL, DynamoDB, MongoDB, Redis, OpenSearch, Elasticsearch and object storage. Schema design, indexes, migrations and caching are treated as production concerns.
Events and Async Work
Kafka, RabbitMQ, SQS, SNS, Kinesis, Pub/Sub and background workers. We design retries, dead-letter handling, ordering and backpressure for real failure modes.
Scale and Reliability
Horizontal scaling, load balancing, read replicas, connection management, circuit breakers, graceful degradation and performance testing for the traffic you actually expect.
Cloud and deployment
Use the Platform
The Workload Needs.
We deploy on AWS, Google Cloud and Azure using the level of infrastructure your system justifies.
That may mean Lambda, Cloud Functions or Azure Functions for serverless workloads; ECS, Fargate, Cloud Run or Azure Container Apps for managed containers; or Docker on EKS, GKE and AKS when Kubernetes earns its operational cost.
Infrastructure as code with Terraform or OpenTofu, automated CI/CD, secrets management, database migrations, canary releases and blue-green deployment make releases repeatable.
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Observability and operations
See the Problem.
Fix the Right Thing.
Instrument services with OpenTelemetry, structured logs, traces and meaningful metrics. Use Prometheus, Grafana, Datadog, Sentry, CloudWatch or the tools already in your stack.
We define useful alerts, dashboards, SLIs and SLOs, then support them with health checks, runbooks and incident-ready diagnostics. The goal is a system your team can understand when it matters.
AI and LLM integrations
AI Features Need
Solid Backend Engineering.
Connect products to OpenAI, Anthropic, Amazon Bedrock, Vertex AI or Azure OpenAI through services that handle authentication, permissions, structured outputs, retries, latency and cost.
For retrieval and agentic workflows, we design the surrounding system too: document pipelines, vector search, tool execution, asynchronous jobs, evaluations, audit trails and human approval where the risk requires it.
AI agents also help our engineers inspect unfamiliar codebases, generate tests and speed up repetitive implementation. Senior engineers remain responsible for architecture, review and production behavior.
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Selected work
Backend Work
In Production.
See how our engineers have delivered APIs, platform services and production systems for established products.
Klarna: Bespoke payment solutions for big brands
Klarna is huge. Their clients can be huge. Huge clients deserve custom solutions. We provided said custom solutions using ReactJS, NodeJS, and Typescript.
Read Case Study
AtomicHub: Prototyping an Ads platform to prod
How do you create an ads platform? One step at a time - and leveraging a ReactJS/Typescript/NodeJS/Prisma/PSQL stack to iterate it fast.
Read Case Study
Wonder: Scaling up the Frontend Team
Berlin-based spatial video conferencing service Wonder hit the startup scene with a bang during the pandemic and reached hockey stick growth numbers. They needed to grow fast to meet demand and asked for our support.
Read Case Study
Top Software Agencies 2026 in Germany
5.0 stars
Client Feedback
Trusted by Teams
That Need Senior Delivery.
Our clients rely on senior Makers to take ownership, communicate directly and keep important engineering work moving.
Testimonials
Makers' Den delivered a self-managing team who created our new website to serve as the marketing spearhead for our online campaigns. What really struck me positively is that we could directly talk to the production team and get changes implemented on the turn of a dime without going through extra account managers.
Backend Development FAQs
Technical Questions.
Straight Answers.
Which backend languages do you work with?
We build production backend systems in Java, Kotlin, TypeScript, Go and Python. Typical frameworks include Spring Boot, Ktor, NestJS, Fastify, Express and FastAPI. We choose based on your existing stack, hiring market, operating model and workload rather than forcing every system into one language.
Can your backend developers join an existing engineering team?
Yes. We can add individual senior engineers or a small backend team to your existing delivery organization. They work directly with your engineers, product leads and technical decision-makers using your repositories, tooling and development process.
Can you own a complete backend workstream?
Yes. We can take ownership of an API, service, integration, migration or platform workstream, including architecture, implementation, automated tests, deployment, monitoring and handover.
Do you work with AWS, Google Cloud and Azure?
Yes. We work across AWS, Google Cloud and Azure, including serverless services, managed containers, PaaS offerings and Kubernetes platforms such as EKS, GKE and AKS. We recommend the simplest deployment model that meets the system's requirements.
Do you build event-driven and distributed systems?
Yes. We build synchronous and asynchronous services using technologies such as Kafka, RabbitMQ, SQS, SNS, Kinesis and Pub/Sub. We design for retries, idempotency, ordering, backpressure, dead-letter handling and observability.
Can you modernize an existing backend without a full rewrite?
Yes. We often improve systems incrementally by extracting services, replacing integrations, upgrading frameworks, adding tests and observability, and changing infrastructure one part at a time. A rewrite is recommended only when the evidence supports it.
Can you integrate AI and LLM capabilities into an existing product?
Yes. We build backend services around OpenAI, Anthropic, Amazon Bedrock, Vertex AI and Azure OpenAI. That can include retrieval, tool use, structured output, agentic workflows, evaluations, permissions, audit trails and human approval.
How do you maintain backend quality in production?
We combine automated tests, contract tests, CI/CD, infrastructure as code and production observability. Depending on the stack, that can include OpenTelemetry, Prometheus, Grafana, Datadog, Sentry or cloud-native monitoring, supported by useful alerts and runbooks.
I want to keep my idea confidential. Will you sign an NDA with me?
Yes, we sign an NDA (Non-Disclosure Agreement) always when a client wants it. We can do it at the very beginning before we discuss your project's details, or at another stage of the process - it's up to you.
Do I own the intellectual property rights of my application?
Yes, you are the owner of Intellectual Property rights at all times.
Where is your development team located?
We are fully remote. So while we were founded and are still based in Berlin, most developers will be remote from a central European location.
What is the pricing model?
You work with us on a Time & Materials basis. The total cost depends on the actual time the team spends on the development. You are in charge of the project’s scope and set priorities for the development team.
Time & Materials allows flexibility for you to set the direction of development depending on the users’ feedback, market situation, or opportunities that arise during the development.
For more about how we create estimates read how to estimate software projects .
What would my development team look like?
We adjust the team depending on your needs. Our speciality is low overhead teams, where every member is contributing concretely towards customer facing features. That means everyone is either doing development or design.
Roles like Project Manager, Business Analyst and QA are responsibilities which are shouldered by our business oriented developers or designers.
You may take the role of a Product Owner, making decisions on priority and scope.
Can you work as an amendment to our in-house team?
Yes. We can adapt to your tools and processes. I.e. fully integrate into your existing team.
How does the company ensure code quality and maintainability?
We follow best practices, perform code reviews, implement automated testing and continuous integration to ensure code quality and maintainability. All projects are not equal though and the level of automated QA will be determined on your need for quick feedback from the market.
Can you hand the code over to another team?
Yes. We create easily understandable and maintainable code using well known frameworks which don’t require niche knowledge.
The runtime environments we can set up in your ownership from the get-go.
What is the experience level of my team?
Every team has a partner involved in the project. Our developers have a proven track record of outsized throughput. Our culture is one of delivering features every day. That's why we prefer senior developers, but not seniors that are from slow moving enterprise environments.
How am I kept up-to-date of development?
We have fixed length iterations (usually 1 week), at the end of which you will be demoed the current progress. You will have access to team members through Slack, email and video calls and our regular meetings. In addition to this you will have access to our project management tools (Jira or Asana), which we update daily.
Why hire us?
We love what we do and only employ people with a similar mindset. You ship faster by working with a small team where each developer is a focused on your business goals. With us you get direct access to everyone. This keeps overhead low and output high.
You are in control. We offer full transparency of progress and potential problems. We keep you informed and present options, but you make the decisions.
We value our client relationships and their product visions. Meet with us to see if we share the same conviction. We might be a good fit.