Backend development services
We build server-side software that keeps running and scales as traffic grows and peaks occur. The code is readable and tested at every layer, and releases stay stable under load. Your data stays encrypted and access-controlled at every step. We can also develop an AI-era backend that your AI products will run on.
Our backend development services
Architecture and technical design
We choose the pattern that fits the workload: microservices, event-driven, serverless, or a staged move away from a monolith. Then we draw the system diagram and name the risks associated with each option, including a growth plan.
Integrations
We connect payment providers and CRM systems, as well as the vendor APIs your product depends on. Retries and idempotency keys keep those connections working when a partner goes down, and queues absorb the backlog until it recovers.
Application Interfaces (APIs)
We design REST and GraphQL interfaces, properly version them, document every error code, and publish an OpenAPI specification that your partners can build against.
Microservices development
We split the monolith into bounded contexts and placed an API gateway in front of them. Backward compatibility is maintained throughout, so nothing breaks during the migration.
Performance and scaling
We profile the code, rewrite the most expensive queries, and cache the repeats. In the cloud, autoscaling adds capacity before your users notice the load.
Cloud and infrastructure as code
We deploy on AWS, Azure, Google Cloud, or a mix of them. Every environment is described in code with Docker, Kubernetes, Terraform, and a CI/CD pipeline, so it can be rebuilt from the repository.
Migrations and data processing
We migrate databases and services in stages and verify data quality at each checkpoint. A rollback plan stays ready at every stage.
Backend testing
We write unit and integration tests, then end-to-end suites that cover the full request path. The pipeline blocks any release that fails it.
Security and compliance
We encrypt data in transit and at rest, and we manage access and secrets centrally. Every action involving sensitive data is logged.
Databases
We model the data and configure indexes and backups. Migrations run without taking the system down.
Continuous integration and delivery
We automate builds and deployments, with the test suite gating both. Releases become predictable and easy to reverse.
Support and development
We watch production and respond to incidents, then improve the system on a schedule.
Core tech stack we work with
We select technologies based on your workload, the integrations you need, and the team that will maintain the result. There are two groups: the stack behind a conventional product and the stack behind an AI one.
AI backend
The AI-era backend
AI products’ backends have to orchestrate models, retrieve the right knowledge, run tool-using agents, serve inference with low latency, and monitor themselves for drift. It is a different kind of system from a deterministic backend, so we build it under our Agentic Development Lifecycle (ADLC).
You test a deterministic backend against fixed expected outputs. An AI backend has no fixed expected output, so we govern it differently. We evaluate against intent, budget, and token economics, and retune guardrails as your models and data drift. Our ADLC covers that work and applies to every backend language we use, including Python.
Related services: AI agents development, RAG development, LLM development, and GenAI development.
LLM orchestration
Chaining model calls, routing each request to the model that suits it, running multi-step workflows, and handing control to an agent when the task needs one. We build these with LangChain, LangGraph, LlamaIndex, and Haystack.
RAG pipelines
Connecting the model to your own content. We chunk and embed your documents, then retrieve the passages that match the question at query time. Every answer stays grounded in your material and traceable to a source document.
Agent runtimes and tools
An agent needs a state that survives a multi-step task, plus a safe route into your systems. We expose data and tools through MCP servers, with scoped permissions and an audit trail on every call.
Inference and serving
Routing across model providers, failing over when one degrades, streaming responses over SSE or WebSockets, and caching the stable part of every prompt. Cached input tokens bill at a fraction of standard rates, currently 90% off on Anthropic and 50% off on OpenAI’s automatic caching (provider pricing documentation, 2026). How much that saves depends on your cache hit rate, which we measure per workload.
AI observability
Prompt versioning, token and cost tracking, latency percentiles, drift alerts, and guardrails that check output while the response is still streaming.
Challenges our backend developers solve
Backend work removes the usual barriers to growth and stability. Here is what we fix.
Slow releases
Contract-first APIs and automated tests shorten the cycle from idea to release. CI/CD removes the manual steps where release errors start.
Load drops
Caches and queues absorb peaks and hold response times steady. Autoscaling adds capacity on time, so a traffic spike does not become an outage.
Slow API responses
We profile the code and rewrite the expensive queries, which reduces p95 and p99 latency. Indexes and caching speed up large queries and repeated requests.
Fragile integrations
We fix the message contracts and agree on the data schema between systems in writing. Retries and idempotency then remove duplicate records and prevent race conditions.
Data disorder
We introduce a single data schema and validate input types as they come in. Normalizing units and timestamps reduces errors that appear later in analytics.
Complex migrations
We break the move into steps with dated checkpoints. Migrations run without downtime, and a rollback plan stays ready at every stage.
High cloud bills
We retire unused resources and tune storage and data transfer settings. Autoscaling and scheduling mean you pay for the workload you actually run.
Leaks and access risks
Roles and attributes limit who can see sensitive data. Encryption and audit logging reduce the impact of an incident and speed up the subsequent investigation.
No operational visibility
We add metrics and traces, then build a dashboard around the service indicators that matter. Correlated logs and events point to the cause behind a symptom.
Difficulty scaling
We give the system a modular structure with well-defined boundaries and independent releases for each component. Hotspots move into their own services, which shrinks the blast radius of a failure.
Manual operations
We put CI/CD in place and automate the pre-release checks where human error creeps in. Infrastructure moves into code, and routine tasks are removed from the daily schedule.
Contractor dependency
We write clear code and keep the documentation up to date. Open interfaces and a standard stack mean you can replace or extend the team without a rewrite.
Benefits of our backend development services
Here are the direct business results: less downtime, lower costs, faster releases, and cleaner data.
- Fast releases. Contract APIs and CI/CD shorten cycle time and eliminate approval steps that add no value.
- Stable peaks. Caching and queues keep the service responsive through peak hours and holiday traffic.
- Lower running costs. Precise queries and a right-sized cloud footprint cut the bill without slowing anything down.
- Higher uptime. Health checks and alerts reduce outage duration and speed up recovery.
- Fewer defects. Tests and code reviews catch errors early, which prevents rollbacks after release.
- Clean data. One schema and consistent validation improve reporting and make problems easier to trace.
- Faster integrations. Stable APIs and documented contracts shorten partner and vendor onboarding.
- Protected data. Roles and encryption reduce the risk of leaks and lighten the audit burden.
- Easier scaling. A modular design lets you add features and teams without rewriting the core.
- Lower MTTR. Logs and traces expose the root cause, so fixes reach production faster.
- Less lock-in. Standard stacks and current documentation make a team change or a team expansion routine.
- Visible numbers. Shared dashboards link service indicators to revenue and show week-over-week movement.
Our expert pool for backend development services
Backend developers
The most technical part of the team. Engineers with 7+ years building backends with heavy integration loads for enterprises and startups, including cloud-native products.
System administrators
The people who keep servers and networks running, along with the software on top of them. Broad generalists across administration with 10 years of experience.
DevOps engineers
Engineers working where development meets operations. They automate the build and deployment path, with tests gating each step. Backend system scalability is theirs to own.
QA specialists
QA engineers test the backend and confirm it behaves as specified. QA is part of our backend development services and includes functional and non-functional testing, as well as regression runs before every release.
Backend development for various industries
We account for industry rules and for the load pattern of each sector. Here is how we configure the backend by domain.
Healthcare
We handle medical data with role-based access and record every action taken against a record. We support the integrations the sector runs on, from device feeds through to electronic health records. We build HIPAA-enabling backends that meet local requirements, with data encrypted in transit and at rest.
Fintech and trading
Trading needs low latency and transactions that fully go through, with a complete activity log behind both. We build payments, limits, customer and transaction verification, and regulatory reporting. Data protection is designed to meet PCI DSS and SOC 2 requirements.
Logistics and transportation
We collect telemetry, calculate ETAs, and track each shipment in real time. We integrate TMS and WMS platforms and notify customers of delivery windows they can plan around. We plan routes and balance warehouse loads, which reduces idle time during demand peaks.
Manufacturing and IoT
We ingest data from sensors and machines, then normalize units and timestamps. Telemetry is stored in a time-series database, with alarms and rules that tell operators what to do next. We integrate MES and ERP systems to produce OEE and shift reporting.
E-commerce and marketplaces
We build catalogs, carts, orders, and payments that continue to work under peak load. We secure payments and block fraud, then tighten the checkout steps where customers usually drop out. We integrate warehouse, delivery, tax, and analytics systems across every sales channel.
SaaS platforms
We implement multi-tenancy, plans, quotas, and data isolation across customer tiers. We build stable partner APIs and admin panels your operations team can use without a developer. Billing and event streams come with it, along with migrations that run without downtime.
Media and content services
Streaming, uploads, background job queues, and rights control over user content. We tune storage and CDN caching, then report viewing statistics by channel and device. We add anti-spam measures and rate limits, along with the reporting that rights holders and advertisers request.
Your case
If your sector is not listed, describe the task, and we will come back with a short plan. We will show you where a backend change pays for itself.
Backend development process
We show progress week by week, which is the simplest way to reduce risk. You see the artifacts and the deadlines in advance, along with every control point.
We collect requirements and identify key risks, then define success metrics and the pilot’s boundaries. We draw the system and flow diagrams, then design the data model and select a database.
Deliverables: brief specification, sprint plan, architecture diagram, ER diagram.
We set up environments and repositories, then configure continuous integration and delivery. We fix the API contracts and error formats, and write the first endpoints with their tests.
Deliverables: working environments, build pipeline, API specification, request collections.
We implement the core product scenarios and update the data schema, migrating where necessary. We connect payments and CRM systems, along with the other services you depend on, with queues and idempotency in place.
Results: working features, stable connections, a sandbox for testing, migrations without downtime.
We run the full test suite, then profile the system and remove the bottlenecks. We implement access control and encryption, and verify secrets management and audit logging.
Results: test report, reduced p95 latency, security checklist, audit readiness.
We run the final tests and migrations, then release through a canary or blue-green rollout. We train your team and hand over the artifacts, with monitoring and a response plan switched on.
Deliverables: production launch, rollout plan, runbooks, maintenance schedule.
Recent software we made
The system has produced a significant competitive advantage in the industry thanks to SumatoSoft’s well-thought opinions. They shouldered the burden of constantly updating a project management tool with a high level of detail and were committed to producing the best possible solution.
Nectarin LLC aimed to develop a complex Ruby on Rails-based platform, which would be closely integrated with such systems as Google AdWords, Yandex Direct and Google Analytics.
I was impressed by SumatoSoft’s prices, especially for the project I wanted to do and in comparison to the quotes I received from a lot of other companies.
Also, their communication skills were great; it never felt like a long-distance project. It felt like SumatoSoft was working next door because their project manager was always keeping me updated. Initially.
We tried another company that one of our partners had used but they didn’t work out. I feel that SumatoSoft does a better investigation of what we’re asking for. They tell us how they plan to do a task and ask if that works for us. We chose them because their method worked with us.
SumatoSoft is the firm to work with if you want to keep up to high standards. The professional workflows they stick to result in exceptional quality.
Important, they help you think with the business logic of your application and they don’t blindly follow what you are saying. Which is super important. Overall, great skills, good communication, and happy with the results so far.
Together with the team, we have turned the MVP version of the service into a modern full-featured platform for online marketers. We are very satisfied with the work the SumatoSoft team has performed, and we would like to highlight the high level of technical expertise, coherence and efficiency of communication and flexibility in work.
We can confidently say that SumatoSoft has put all our ideas into practice.
Rivalfox had the pleasure to work with SumatoSoft in building out core portions of our product, and the results really couldn’t have been better.
SumatoSoft provided us with engineering expertise, enthusiasm and great people that were focused on creating quality features quickly.
SumatoSoft succeeded in building a more manageable solution that is much easier to maintain. Their project management reflects the excellence of a larger company. Their team delivers high-quality results, attentive service, and reasonable pricing.
From the early stages of the project, SumatoSoft demonstrated a proactive attitude, actively seeking opportunities to enhance the solution and anticipate our needs. They consistently took the initiative to address any potential issues, provide timely updates, and offer solutions to challenges that arose during development. This proactiveness greatly contributed to the project’s success and exceeded our expectations.
SumatoSoft is flexible, efficient, and extremely good at planning and being proactive. They have also been very proactive in their approach throughout the project, seeking to understand the needs and the reasons behind them before launching into development, which has been helpful for maintaining direction and consistency, especially because the end client is regularly generating new ideas for added features.
Engagement models
Pick the format that matches your timeline, budget, and the risk you are willing to take. Here is when each one works.
Project audit (2-4 weeks)
A code review and a risk investigation, plus a budget estimate for the improvements worth making.
Output: a work roadmap with estimates. Fixed payment.
Fixed scope and price
Use it when requirements are documented and unlikely to change. Work runs against milestones with formal acceptance, and changes go through a change request.
Time and Materials
Use it when changes are frequent, and cycles are short. You get a sprint plan and hourly reporting, and we can set a cost ceiling.
Dedicated team
We define roles and composition, then agree on a release plan with metrics and a response-time SLA. Billed monthly per team.
Team augmentation
We add the backend and DevOps engineers you are missing, plus QA, where testing is the bottleneck. You manage the work, and we follow your process. Billed hourly or monthly.
Build, Operate, Transfer
We build the solution and run it, and then transfer it to your team with full code access and the documentation needed to keep it running. Payment follows the three stages.
SumatoSoft in numbers
Awards & Recognitions
Frequently asked questions
How much does backend development cost?
Cost depends on scope, integrations, security requirements, and team composition. We work on a fixed price per stage or on a time-and-materials basis. We provide an estimate after a short discussion and a written summary of requirements and risks.
What are the biggest challenges in backend development?
Rising load, complex integrations, data quality, security, and migrations are the most common issues. Controlling cloud spend and releasing changes without downtime follow close behind.
Can you build the backend for an AI or agentic product?
Yes. We build LLM orchestration, RAG pipelines, agent runtimes with MCP tool access, inference and serving layers, and the observability around them. That work runs under our Agentic Development Lifecycle.
How do you keep an AI backend stable and secure?
Four practices carry most of the weight. We evaluate output against intent instead of exact-match tests. We budget token spend per feature from the first sprint. We treat prompt injection as a primary threat and validate anything that reaches a tool call. We monitor for drift and retune guardrails as models and data change.
Let’s start
If you have any questions, email us info@sumatosoft.com
