Hire Back-End Development Team
Need server-side engineering talent that delivers mission-critical infrastructure? We build embedded engineering units focused on resilient server logic, robust data pipelines, and enterprise-grade integrations. Our teams become an extension of your technology organization, diving deep into your business domain while maintaining velocity on complex technical initiatives.
Our engineering specialists operate across Western Hemisphere time zones, ensuring real-time collaboration with North American product teams. They've architected high-throughput recommendation systems, built compliance-ready healthcare data lakes, and engineered real-time fraud detection pipelines using modern server technologies including Node.js, Python, Java, .NET, Go, and serverless architectures. We connect you with engineers who've tackled the same distributed system challenges, data consistency problems, and infrastructure scaling hurdles your organization faces.
- Infrastructure assessment completed in week one, identifying optimization opportunities and technical debt hotspots
- Production-ready code delivered each iteration cycle with comprehensive test coverage and deployment automation aligned to your security posture
- Dynamic team composition—adjust engineering capacity monthly based on sprint velocity and strategic priorities
Need an end-to-end partner instead of embedded engineers? Explore our back-end development outsourcing service for squads that own architecture, delivery, and ongoing operations.
If you need support beyond the back-end, we partner closely with our API development and project-based delivery leaders to make sure the full product experience stays aligned.
Embedded Server-Side Engineering Units
Infrastructure teams that operate like in-house engineering.
When you engage our server-side engineering services, you're acquiring a committed unit that functions as a permanent part of your technical organization—not temporary consultants cycling through assignments. These engineers immerse themselves entirely in your server infrastructure, internalize your system architecture philosophy, and take ownership of service reliability and data platform performance. We don't provide project-hoppers or multi-client freelancers who vanish post-deployment. We supply career-focused engineers who embed within your engineering culture.
The practical implications: engineers who dedicate their full attention to your server infrastructure develop institutional knowledge about your service contracts, data model relationships, distributed caching implementations, event streaming topologies, and container orchestration strategies. They retain context about historical architectural decisions (perhaps you selected DynamoDB over Cassandra for single-digit latency requirements, or introduced Kafka for event sourcing), comprehend the business rationale behind technology choices, and rapidly diagnose performance anomalies or capacity constraints. This institutional memory accelerates feature development, simplifies incident resolution, and enables confident system evolution.
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.
Success Story: Scaling an Inventory Management Platform
A North American e-commerce company needed to overhaul their legacy inventory synchronization system before peak shopping season. We deployed a cohesive unit comprising five server-side engineers, a data platform architect, and a dedicated DevOps engineer focused on deployment automation.
Technical achievements
- Redesigned inventory APIs using Go and Protocol Buffers, achieving 58% improvement in p99 response times
- Implemented MongoDB sharding with intelligent routing to accommodate seasonal traffic surges while maintaining sub-100ms query performance
- Built automated inventory reconciliation workflows using event-sourced architecture, eliminating 18 hours of manual reconciliation work weekly
Impact metrics
- Enabled on-time launch of new fulfillment centers, handling 4.7M inventory updates during first-quarter operations
- Reduced synchronization errors by 23% through intelligent retry mechanisms and circuit breaker patterns
- Established comprehensive technical documentation portal that reduced ramp-up time for new engineers to three days
Explore additional success stories in our portfolio of case studies.
Technologies and Expertise
Modern back-end stacks, proven at scale.
Our back-end teams work with the technologies that power today's applications. Whether you're building REST APIs with Node.js, processing data with Python, managing enterprise systems with Java, or creating microservices with Go, we have engineers who know these stacks inside and out.
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
How Dedicated Teams Work
From discovery to delivery, seamless integration.
Getting a dedicated back-end team up and running isn't complicated—it's just about matching the right engineers to your needs and integrating them into your workflow. Here's how it works:
1. Discovery
We align on your goals, technology stack, and seniority mix. What APIs do you need? What databases are you using? What's your deployment target? We define success metrics and delivery cadence so everyone knows what "done" looks like.
2. Team Assembly
We handpick engineers matched to your requirements. You interview final candidates (typically 3–5 per role) to ensure they're the right fit. We don't send you resumes—we send you engineers we've already vetted.
3. Onboarding
Teams ramp up on your codebase, tools (GitHub, GitLab, Jira, Slack), branching strategies, and Definition of Done. They learn your coding standards, deployment processes, and architectural patterns. Usually takes a week or two, depending on complexity.
4. Integration
Teams join your standups, PR reviews, sprint planning, and architecture discussions. They function as embedded engineers, not a black box. You see their code, they see yours. Collaboration happens naturally.
5. Delivery
Sprint-based execution with clear goals, measurable outcomes, and regular demos to stakeholders. You see progress every sprint, not just at the end. Features ship incrementally, not all at once.
6. Scaling
Flex team size up or down based on priorities, roadmap changes, and budget constraints. Need more engineers for a big feature? Add them. Need to scale back? Do it. No long-term commitments required.
Your first 90 days with us
Days 1–30
Knowledge transfer, architecture review workshops, and performance baselining. We close quick wins—often indexing tweaks or API error handling improvements.
Days 31–60
Parallel delivery track begins. You see sprint demos and feature releases while we tackle backlog items that were previously blocked.
Days 61–90
Stabilized releases, automated regression suites, and a roadmap for capacity planning. Teams are ready to scale up or rotate into new initiatives.
What Sets Our Back-End Teams Apart
Production-ready code, security-first mindset, architecture that evolves.
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.
How we keep momentum long term
- Quarterly architecture audits with recommendations tied to business KPIs—latency, conversion, or customer support tickets
- Shared runbooks and onboarding guides so new engineers are productive within their first sprint
- Rotating on-call schedule with SRE oversight to keep SLAs intact even as teams expand
OUR STANDARDS
What you can expect from our back-end development teams.
- Production-grade APIs: RESTful design, proper status codes, versioning, rate limiting, error handling and comprehensive documentation (OpenAPI/Swagger).
- Database excellence: optimized queries, proper indexing, migrations, backups, replication and disaster recovery strategies.
- Scalable architecture: microservices, event-driven patterns, caching layers, message queues and horizontal scaling considerations from day one.
- Security built-in: input validation, SQL injection prevention, XSS protection, OAuth2/JWT authentication, encryption and secret management.
- Observability by default: structured logging, distributed tracing, metrics dashboards, alerting and health checks so you know how systems perform in real time.
- CI/CD discipline: automated tests (unit, integration, E2E), code quality gates, automated deployments and rollback capabilities for zero-downtime releases.
- Clear documentation: API specs, architecture diagrams, runbooks and onboarding guides so teams can hand off code confidently.
If you’re interested in hiring developers for this capability in Argentina, visit the Argentina version of this page.
CONTACT US
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