400k+
ENGINEERS
14 days
to hire
100+
COVERED
30-50%
US hires
Hire the top 1% of
Hire Backend Developers
Revelo's backend engineers are placed full-time, embedded in your team. Here's where they typically own the most critical work:
API Design and Development
Revelo's backend developers design, build, and maintain RESTful and GraphQL APIs that serve web clients, mobile apps, and third-party integrations. They document endpoints, version responsibly, and handle auth flows without creating security gaps.
Database Architecture and Optimization
From schema design to query tuning, Revelo's engineers own the data layer. They work across PostgreSQL, MySQL, MongoDB, Redis, and cloud-native options like DynamoDB, choosing the right tool for the access pattern each problem demands.
Microservices and Distributed Systems
When a monolith needs to be broken apart or a greenfield system needs clean service boundaries, Revelo's senior backend engineers can drive that work. They've designed event-driven architectures, managed Kafka pipelines, and handled the operational complexity that comes with distributed state.
Cloud Infrastructure and DevOps Collaboration
Revelo's backend developers are comfortable in AWS, GCP, and Azure environments. They write infrastructure-aware code, collaborate directly with DevOps engineers on deployment pipelines, and don't treat containerization as someone else's problem.
Performance Tuning and Incident Response
When latency spikes or a service degrades under load, these engineers know how to instrument, trace, and fix it. They treat observability as part of the work, built in from the beginning.
Time-to-Hire
Developers
.svg)
Alignment
Efficiency
.svg)
2,500+ companies trust Revelo with their tech hiring needs
What Is a Backend Developer?
When companies need to hire backend developers, they are looking for engineers who build and maintain the server-side systems that power a product: APIs, databases, business logic, authentication, and the data pipelines that keep everything running under load. They own what your users never see but absolutely depend on.
Day to day, that means designing RESTful or GraphQL APIs, writing service logic in languages like Python, Node.js, Java, Go, or Ruby, managing relational and document databases, and keeping latency low as traffic scales. Senior backend engineers also make architecture calls: when to introduce a message queue, how to structure a microservices boundary, whether a caching layer solves the bottleneck or masks a worse problem.
What separates a strong backend developer from an adequate one is systems thinking. They anticipate failure modes before they ship, write code that the next engineer can actually read, and treat performance as a design constraint from the start.
Why Hire Backend Developers?
Backend work is the load-bearing wall of any software product. A slow or fragile API degrades every surface a user touches, no matter how polished the frontend is. When backend systems fail, everything visible fails with them.
The role is hard to fill in the US. Backend engineers with production experience at scale are competing for offers from AWS, Stripe, and Databricks. Mid-market companies with no equity story and a compensation ceiling well below hyperscaler bands routinely lose candidates after the final round.
Revelo gives you access to 400,000+ pre-vetted engineers based in Latin America, with a shortlist in 72 hours and an average time to hire of 14 days. Engineers work in your time zone, embedded full-time in your team, at 30–50% less than comparable US hiring. That's not a rounding error on your headcount budget.
What Does It Cost to Hire a Backend Developer?
In the US, a mid-level backend developer earns between $98,500 and $142,000 per year, with an average around $120,000, according to ZipRecruiter's most recent salary data. Add benefits, payroll tax, and recruiting fees and the fully-loaded cost runs meaningfully higher.
Through Revelo, the all-in monthly cost for a backend developer (engineer compensation plus PEO, benefits, and Revelo's margin) runs considerably lower. Based on the Revelo Salary Guide 2025:
| Seniority | All-In Annual Cost (via Revelo) | Engagement Model |
|---|---|---|
| Junior | $57,600 – $72,000 | Full-time, embedded |
| Mid-Level | $72,000 – $102,900 | Full-time, embedded |
| Senior | $85,900 – $124,600 | Full-time, embedded |
That's a 30–50% reduction versus US-based hiring for the same seniority band, with no placement fee spread across the engagement and no long-term contract. Use the pricing calculator at revelo.com/pricing for a current, role-specific figure.
Why Hire Backend Developers in Latin America?
Cities like São Paulo, Bogotá, Mexico City, and Buenos Aires have become established hubs for backend engineering, with large local tech sectors and a steady supply of engineers who work daily on distributed systems, cloud infrastructure, and high-throughput APIs for US companies.
The timezone argument is practical. Engineers based in Colombia sit at UTC-5, identical to US Eastern Standard Time. Mexico City runs UTC-6, matching US Central. Even Brazil (UTC-3) overlaps meaningfully with Eastern afternoons. Your backend team gets a full shared workday for code review, incident response, and architecture discussions, without the delayed feedback loop that breaks offshore models.
English fluency in the tech sector across Latin America is consistently strong, and the professional culture aligns closely with US engineering norms: sprint cadences, pull-request workflows, async documentation, and direct communication in standups. These engineers slot into existing teams without a cultural translation layer.
How to Evaluate Backend Candidates
The strongest backend candidates demonstrate production experience, architecture judgment, and the ability to reason about tradeoffs under real constraints. Start by probing system design: ask them to walk through how they'd architect a URL-shortening service or a rate limiter at scale. A weak answer jumps straight to a stack of tools. A strong answer starts with the constraints (expected traffic, consistency requirements, failure tolerance) and only then picks the architecture that fits.
Second, dig into database decisions. Ask when they'd reach for a relational database versus a document store, and what drove that choice in a recent project. Generic answers ("PostgreSQL for structure, MongoDB for flexibility") are table stakes. You want to hear about a real situation where the wrong call would have hurt them.
Third, test debugging instincts. Describe a production symptom (latency spike, memory leak, inconsistent API responses) and ask how they'd approach it. Strong candidates immediately ask clarifying questions about load patterns and recent deploys. They don't jump to solutions before they understand the shape of the problem.
Also check code ownership habits. Ask how they handle a PR review where they disagree with a senior engineer's approach. The answer reveals both technical confidence and the kind of team dynamics they create.
Why Backend Expertise Matters
Backend systems are where product bets succeed or collapse. A well-designed API lets your frontend team ship fast and your mobile clients stay in sync. A poorly designed one creates a category of bugs that no amount of frontend polish can hide, and a retrofit cost that compounds with every feature bolted on top.
As products scale, backend complexity grows faster than headcount. The teams that scale cleanly are the ones that made deliberate architecture decisions early: service boundaries drawn at the right seams, data models that didn't paint future engineers into a corner, and observability baked in from day one.
Hiring a backend developer who treats architecture as a first-class concern, rather than something to address when things break, is one of the highest-impact decisions a growing engineering team can make. The cost of getting this wrong shows up 18 months later, in a rewrite you didn't budget for.
How Revelo Vets Backend Developers
Every backend developer in Revelo's network passes a multi-stage screen before they're available to you. Only the top 2% of applicants make it through. Vetting happens before your search starts, so the 72-hour shortlist you receive is already filtered.
The process runs in stages. First, a profile and AI-assisted review screens for experience depth and career trajectory. Candidates without genuine production backend experience are removed here. Second, English fluency is assessed in a live conversation, not a written test, because written proficiency and spoken fluency are different skills that matter differently on a distributed team.
Third, a backend-specific technical deep dive covers system design, data modeling, API architecture, and language-specific knowledge relevant to the candidate's stack. Fourth, a hands-on challenge tests actual coding ability and problem-solving under realistic constraints, paired with a soft-skills evaluation for communication and collaboration fit. Fifth, a live senior engineer interview validates everything and surfaces the candidate's reasoning style.
Revelo also provides candidate dossiers with recorded intro videos, so you can assess communication style and presence before scheduling your own interview.
Benefits of Building With Backend
Why Backend Engineering Wins for Scalability
Backend systems handle the load that no frontend optimization can offset. A well-architected backend scales horizontally, degrades gracefully under load spikes, and keeps response times stable as your user base grows. Companies like Stripe, GitHub, and Shopify have invested heavily in backend infrastructure precisely because every millisecond of API latency has downstream effects on conversion and retention.
Common Use Cases
Backend engineers power core product infrastructure: user authentication and authorization systems, payment processing integrations, notification services, data pipelines feeding analytics dashboards, third-party API orchestration, and the job queues that handle async work without blocking user-facing responses. In SaaS products, backend work typically consumes the majority of total engineering effort, since it underpins every other surface the product exposes.
Companies Shipping Strong Backend in Production
Stripe, Notion, and Cloudflare are frequently cited for backend work done well: clean API design, real-time sync at scale, and infrastructure built for latency-sensitive traffic. The common thread is that none of it happened by accident. Each required engineers who treated backend architecture as a first-class problem, not an afterthought.
When Backend Engineering Is the Wrong Bottleneck
If your core problem is frontend performance, mobile UX, or design system consistency, hiring more backend capacity solves the wrong constraint. Backend investment pays off when you're scaling data volume, adding integrations, or hitting latency ceilings. If your APIs are already fast and your data model is clean, the next hire might belong on the product or frontend side.