Get DevOps Engineers
Get DevOps Engineers from Latin America
Infrastructure and platform engineers who build reliable CI/CD pipelines, manage Kubernetes clusters, and keep your services running. LATAM has a growing DevOps community with real cloud and infrastructure experience.
Why LATAM for DevOps engineering
35-50% cost advantage
Senior DevOps engineers in LATAM cost $70-100k vs $160-200k in the US. Infrastructure expertise at a meaningful cost difference.
Cloud-native experience
LATAM's startup and fintech sectors have driven strong AWS and Kubernetes adoption. DevOps engineers here have managed real production infrastructure.
Systems and networking fundamentals
Good DevOps work requires understanding networking, operating systems, and distributed systems. LATAM CS programs cover these fundamentals.
On-call compatible timezones
UTC-3 to UTC-5 provides meaningful overlap with US teams. For infrastructure work, real-time communication during incidents is important.
Security-aware
LATAM's financial services sector has raised the security baseline for DevOps engineers. Many have experience with compliance requirements and hardening.
What our DevOps engineers know
Kubernetes (EKS, GKE, AKS)
Helm charts
ArgoCD / Flux (GitOps)
Terraform
Pulumi
Ansible
AWS (EC2, ECS, EKS, Lambda, RDS, S3, VPC, IAM)
GCP (GKE, Cloud Run, Cloud SQL)
Azure (AKS, App Service, Azure SQL)
GitHub Actions
GitLab CI/CD
Jenkins
Docker
Prometheus / Alertmanager
Grafana
Datadog
OpenTelemetry
ELK Stack / Loki
Bash scripting
Python for automation
Go for CLI toolingHow we vet DevOps engineers
Every candidate completes all seven stages before you see their profile. You can also run your own technical round after our screening.
* For common roles like full-stack. Other roles typically take 7 to 10 days.
CV check
Stage 1We review experience, stack, seniority, and career history against the role before anyone is invited to interview. Most applicants stop here.
Behavioral interview
Stage 2A structured interview assessing communication style, conflict resolution, ownership mindset, and English proficiency in a professional context.
Technical interview 1
Role-specificA 90-minute live session covering infrastructure as code with Terraform (writing modules, managing state, handling drift), Kubernetes debugging (candidates walk through diagnosing a failing pod using kubectl, describing what they'd check and in what order), and CI/CD pipeline design. We also walk through a real incident scenario: a service is degraded in production, describe the first 10 minutes of your response. We assess their use of observability tools, their mental model of the infrastructure, and how they communicate during incidents.
Technical interview 2
Stage 4A second, deeper round on system design, architecture tradeoffs, and code review, matched to the seniority you are hiring for.
Take-home assessment
Stage 5A practical assignment that mirrors real work. We review code quality, testing, documentation, and how the candidate explains their decisions.
Reference check
Stage 6We speak with at least two professional references who worked with the candidate, not personal contacts.
Background check
Stage 7Verification of work history, education, and identity with written consent, aligned with applicable privacy rules including LGPD where relevant.
After our screening, you can optionally run your own technical round before making an offer.
Sample profiles
Who you might hire
Anonymized profiles from our vetted talent pool. Actual candidates may vary.
Senior DevOps Engineer
São Paulo, Brazil
6+ years experience
Mid DevOps Engineer
Bogotá, Colombia
3+ years experience
Lead Platform Engineer
Buenos Aires, Argentina
8+ years experience
Want to see profiles matched to your specific requirements?
Request matched profiles
What to expect
What sets our DevOps engineers apart
The difference between a DevOps engineer and a good DevOps engineer shows up at 2am during an incident. Ours have been there. They document their infrastructure, automate repetitive tasks, and write runbooks that actually help the on-call engineer.
AI tools (GitHub Copilot, Claude) for IaC generation: Terraform modules, Helm chart templates, and GitHub Actions workflows. They validate generated IAM policies and security configurations carefully.
AI-assisted incident analysis: using AI tools to correlate logs across services and surface likely root causes faster during active incidents.
AI for runbook drafting and post-mortem writing, which improves documentation discipline across the team.
They communicate infrastructure changes through PRs, not Slack messages. Everything is reviewed and versioned.
They instrument applications before problems appear. Dashboards and alerts are part of feature delivery, not added after the first incident.
LATAM vs US DevOps engineer salaries
Junior DevOps Engineer
Mid DevOps Engineer
Senior DevOps Engineer
FAQ
Common questions
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