Hire AWS developers
in Latin America

What Is an AWS Developer?

An AWS developer designs, builds, and maintains applications and infrastructure on Amazon Web Services. That work spans provisioning cloud resources (EC2, S3, RDS, Lambda), architecting scalable systems, writing infrastructure-as-code, and keeping services secure, cost-efficient, and observable in production.

Day to day, an AWS developer might be configuring IAM policies, building CI/CD pipelines through CodePipeline or GitHub Actions, setting up auto-scaling groups, or migrating a legacy on-prem workload to a managed cloud service. Strong AWS developers also know how to read a Cost Explorer report and act on it, keeping spending in line as the system grows.

The best ones hold at least one AWS certification (Solutions Architect or DevOps Engineer are the most meaningful signal), but more importantly, they've shipped systems that stayed up under real load and recovered gracefully when they didn't.

Why Hire AWS Developers?

AWS powers roughly 31% of the global cloud infrastructure market (Synergy Research, 2024), which means the services your team depends on, and the integrations your customers expect, are almost certainly running on it. When something breaks at 2 a.m. on AWS, you need someone who knows the platform cold.

The problem is that experienced AWS developers are scarce and expensive in the US. Mid-market companies compete for this talent against Amazon itself, alongside every hyperscaler and well-funded startup. US mid-level DevOps and cloud engineers average $113,000–$144,000 per year (PayScale and Salary.com, 2024), and the top candidates rarely stay on the market long.

Hiring through a nearshore staff augmentation model changes the math. Revelo's network includes 400,000+ pre-vetted engineers based in Latin America, with a shortlist delivered in 72 hours and an average time to hire of 14 days. All-in cost savings run 30–50% compared to equivalent US hiring, without sacrificing seniority or timezone compatibility.

What Does It Cost to Hire an AWS Developer?

Hiring an AWS developer in the US typically costs $113,000–$144,000 per year in base salary alone, while Latin America-based engineers deliver comparable expertise at 30–50% less when all costs are included.

A mid-level DevOps or cloud engineer in the US earns $113,000–$144,000 per year in base salary alone (PayScale and Salary.com, 2024). Add benefits, payroll taxes, and recruiting overhead and the true cost climbs well above $150,000 annually.

Engineers based in Latin America working on AWS-focused roles sit within the DevOps and cloud engineering band. According to the Revelo Salary Guide 2025, all-in cost (engineer compensation plus PEO, benefits, and Revelo's fee) breaks down as follows:

AWS specialists with deep certifications or niche expertise (e.g., ML infrastructure on SageMaker, multi-account Control Tower governance) typically price toward the upper end of the senior band. For a role-specific quote, use the pricing calculator at revelo.com/pricing.

Why Hire AWS Developers in Latin America?

Latin America has produced a deep bench of AWS-certified cloud engineers, concentrated in cities like São Paulo, Buenos Aires, Bogotá, Mexico City, and Medellín. Brazil alone has one of the largest AWS user communities in the Western Hemisphere, with active AWS User Group chapters running in over a dozen cities.

The timezone argument is especially strong for cloud roles. AWS incidents, deployment windows, and on-call rotations require real-time coordination. Engineers in Colombia, Mexico, and Peru overlap directly with US Eastern and Central hours, Colombia and Peru match US Eastern Standard Time (1 hour behind EDT in summer), while Mexico City aligns with US Central Standard Time, giving teams a full shared workday with minimal friction. Even São Paulo and Buenos Aires sit within 2 hours of US Eastern, well inside a shared workday.

English fluency in the technical sector is consistently strong. Engineers who've pursued AWS certifications have read documentation, passed exams, and participated in communities conducted entirely in English. Cross-functional communication with product and ops teams is routine for engineers at this level.

How to Evaluate AWS Candidates

Start with architecture. Give candidates a real-world scenario: "You're building a multi-tenant SaaS backend that needs to handle variable load, store user files, and process async jobs. Walk me through how you'd structure this on AWS." A strong answer names specific services (ECS or EKS for compute, S3 with lifecycle policies, SQS or EventBridge for async), explains the tradeoffs, and accounts for cost. A weak answer stays abstract or defaults to "it depends" without following through.

Next, probe IAM and security posture. Ask how they'd enforce least-privilege access across a team of 15 engineers. Candidates who've worked in production can describe permission boundaries, service control policies in AWS Organizations, and how they audit resource access. Candidates who haven't will describe console-clicking.

Finally, test cost fluency. Ask them to describe a time they reduced AWS spend meaningfully. A credible answer includes a specific service (Reserved Instances, right-sizing EC2, moving to Fargate), a before-and-after number, and what triggered the audit. Cloud engineers who can't speak to cost have worked in environments where no one looked at the bill.

Why AWS Expertise Matters

Cloud-native teams are now the default, and AWS is the platform most of them built on first. The demand for engineers who can own cloud infrastructure end-to-end has grown steadily as engineering organizations flatten and platform teams shrink.

Mid-market companies feel this pressure acutely. At 100–500 engineers, you probably can't staff a dedicated platform team, so your AWS developer carries responsibilities that would be split across three roles at a larger company: infrastructure provisioning, security compliance, cost governance, and CI/CD ownership. That combination is genuinely hard to find in the US market at a price that makes sense on a Series B or C budget.

The risk of going without a dedicated AWS owner is real. Misconfigured S3 buckets, runaway Lambda costs, and manual deploy processes that collapse under growth are all symptoms of teams that stretched an engineer across cloud work they didn't have the depth to own. Closing that gap with a specialist who holds a current certification and has shipped production systems on AWS at scale is a concrete way to reduce that risk.

How Revelo Vets AWS Developers

Every AWS developer in Revelo's network clears a multi-stage screen. Fewer than the top 2% of applicants make it through. Because engineers in Revelo's network are pre-vetted before any search begins, Revelo can deliver a tailored shortlist within 72 hours of receiving your requirements.

It starts with a profile and AI-assisted review that filters for experience depth, certification history, and employment continuity. Candidates who pass move to an English fluency assessment that evaluates both comprehension and professional communication in writing and speech.

The technical layer is AWS-specific: candidates walk through architecture problems, IAM and security scenarios, and infrastructure-as-code exercises (Terraform or CloudFormation, depending on role fit). A hands-on challenge tests real configuration and debugging skills against live systems.

The final stage is a live senior-engineer interview that probes system design judgment, production experience, and soft-skills fit for cross-functional teams. Candidates who clear all five stages join the active pool. You receive a tailored shortlist with candidate dossiers, including recorded intro videos so you can assess communication style before scheduling a single interview.

Benefits of Building With AWS

Why AWS Wins for Scale and Depth of Services

AWS offers more managed services than any competing cloud platform, over 200 at last count, which means your team can reach for a purpose-built service and ship faster. EKS for container orchestration, SageMaker for ML workloads, Aurora for relational databases at scale: each one trades configuration complexity for operational simplicity at production volume.

Common Use Cases

AWS is the default platform for SaaS backends requiring elastic compute (ECS, Lambda), data pipelines moving high volumes through S3 and Redshift, real-time event processing via Kinesis or EventBridge, and any workload where compliance certifications (SOC 2, HIPAA, FedRAMP) need to trace to cloud-level controls.

Companies Shipping AWS in Production

Airbnb, Netflix, Slack, Lyft, and Stripe all run core infrastructure on AWS. Among mid-market SaaS companies, AWS is nearly ubiquitous, particularly for teams that scaled fast and needed managed services to avoid building their own. The breadth of production adoption means the engineering community, documentation, and third-party tooling around AWS is unmatched.

When AWS Is the Wrong Choice

AWS adds real complexity for very small teams. If your application is a simple web service with predictable traffic and one developer, a platform like Heroku or Render will ship faster with less operational surface area. AWS's pricing model also rewards expertise: without someone who knows the platform well, bills surprise teams regularly. If your organization has already standardized on Google Cloud or Azure and your engineers know those platforms cold, migrating for AWS's sake rarely pays off.