Hire Back-End Development Team

Deep Back-End Expertise

Back-end engineers who specialize in APIs, databases, caching, message queues, and distributed systems—not generalists spread thin across front-end and DevOps. When your team works exclusively on back-end code, they get really good at it. They understand database query optimization, API rate limiting, caching strategies, and microservices patterns because that's all they focus on.

Full-Time Focus

Your back-end team works exclusively on your project. No splitting time between multiple clients, no context switching between different codebases, no rushed deadlines because they're managing other commitments. Just focused development work on what matters to you—building reliable APIs, optimizing database queries, and scaling your infrastructure.

Seamless Integration

We match engineers not just by technical expertise, but by working style, communication preferences, and cultural fit. Your team integrates with your existing processes, uses your tools (whether that's GitHub, GitLab, Jira, or something else), and follows your methodologies. They join your standups, participate in PR reviews, and contribute to architecture discussions. They feel like your team, not an external service.

Scalable Capacity

Need to ramp up quickly? With dedicated teams, you can scale from 2 engineers to 10+ as needs grow. Flexible monthly pricing without long-term lock-in or hidden fees. No recruiting, no interviewing delays—just add engineers who are already familiar with your codebase and processes.

What we delivered

• Rebuilt high-volume transaction APIs in .NET and gRPC, reducing 95th percentile latency by 42%
• Introduced PostgreSQL partitioning and read replicas to handle Black Friday spikes without downtime
• Automated chargeback reconciliation with event-driven microservices, saving the finance team 12 hours each week

Business outcomes

• Launched three enterprise merchants on schedule, processing 3.2M transactions in the first month
• Cut failed payments by 18% through proactive monitoring and retry logic
• Created a shared documentation hub that shortened new engineer onboarding to five days

Read the full story in our Sur Technology Holdings case study.

Recent example engagements

• Migrated a monolithic billing engine to event-driven services on AWS, enabling real-time invoicing for 70K subscriptions
• Implemented a unified identity layer for a healthcare platform with OAuth2, FHIR compliance, and audit trails
• Replaced nightly batch imports with streaming ingestion on Kafka and Snowflake to deliver analytics dashboards in minutes

Where we plug in

We can own a greenfield build, join your platform team, or reinforce an in-flight project that needs sharper delivery. Pair our back-end specialists with our web development and full-stack pods when you need end-to-end coverage.

Expect clean documentation, clear acceptance criteria, and demos that are meaningful to business stakeholders.

Languages & Frameworks

Node.js: Express, Nest.js, Fastify for building fast, scalable APIs. Our teams understand async patterns, middleware composition, and how to handle high concurrency.

Python: Django, Flask, FastAPI for web APIs and Celery for background jobs. Our engineers know when to use Django's batteries-included approach versus Flask's minimalism.

Java: Spring Boot, Micronaut, Quarkus for enterprise applications. They understand dependency injection, AOP, and how to build maintainable Java code.

.NET: C#, ASP.NET Core, Entity Framework for building robust APIs. They know .NET's async/await patterns and how to leverage the framework effectively.

Databases & Storage

Relational: PostgreSQL, MySQL, SQL Server. Our teams know how to write efficient queries, design proper indexes, and handle database migrations safely.

NoSQL: MongoDB, DynamoDB, Cassandra for document and key-value stores. They understand when to use NoSQL versus relational databases and how to model data effectively.

Caching: Redis, Memcached for improving performance. They know caching strategies, cache invalidation patterns, and when caching actually helps versus when it adds complexity.

Message Queues: RabbitMQ, Kafka, SQS for asynchronous processing. They understand message ordering, delivery guarantees, and how to build resilient queue-based systems.

APIs & Infrastructure

API Patterns: REST, GraphQL, gRPC. Our teams know when to use REST for simple CRUD operations, GraphQL for flexible queries, or gRPC for high-performance inter-service communication.

Real-time: WebSockets, Server-Sent Events for live updates. They understand when you need real-time communication and how to implement it efficiently.

Cloud Platforms: AWS, Azure, GCP. They deploy to Lambda, ECS, App Services, Cloud Functions, and know how to leverage managed services effectively.

DevOps: Docker, Kubernetes, CI/CD pipelines. They understand containerization, orchestration, and how to automate deployments safely.

Team Composition

We right-size every back-end team to what you actually need. That might mean:

• Back-End Engineers: Mid to senior level engineers experienced with your technology stack, familiar with database design, API development, and system architecture
• API Architects: Who design clean, scalable APIs that other developers want to use. They understand API versioning, authentication patterns, and developer experience
• Database Specialists: Who optimize queries, design schemas, handle migrations, and ensure data integrity and performance
• DevOps Engineers: Who deploy applications to cloud platforms, set up CI/CD pipelines, manage infrastructure as code, and ensure reliable deployments
• Tech Leads: Who shape architecture decisions, enforce code quality standards, guide junior engineers, and align technical choices with your product vision

Production-Ready Code

Teams write APIs that scale, databases that perform, and services that stay up. Strong error handling, logging, monitoring, and observability by default. They understand that back-end code runs in production, not just on their laptops. That means proper error handling, graceful degradation, and monitoring from day one.

Security-First Mindset

Input validation, authentication, authorization, encryption at rest and in transit, dependency scanning, and secret management built into the workflow. Security isn't an afterthought—it's built into how they code. They know the OWASP Top 10, understand common vulnerabilities, and write code that's secure by default.

Architecture That Evolves

Tech leads shape design decisions, enforce patterns (microservices, event-driven, CQRS), and guide refactoring efforts to keep code maintainable as products grow. They understand that architecture isn't set in stone—it evolves as requirements change. They know when to refactor and when to leave code alone.

Clear Communication

Daily standups, weekly demos, written architecture docs, and transparent sprint reports—no surprises, just steady progress you can track. They communicate proactively, document decisions, and keep stakeholders informed. You always know where things stand.