Get DevOps Engineers
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.
Senior DevOps engineers in LATAM cost $70-100k vs $160-200k in the US. Infrastructure expertise at a meaningful cost difference.
LATAM's startup and fintech sectors have driven strong AWS and Kubernetes adoption. DevOps engineers here have managed real production infrastructure.
Good DevOps work requires understanding networking, operating systems, and distributed systems. LATAM CS programs cover these fundamentals.
UTC-3 to UTC-5 provides meaningful overlap with US teams. For infrastructure work, real-time communication during incidents is important.
LATAM's financial services sector has raised the security baseline for DevOps engineers. Many have experience with compliance requirements and hardening.
Every candidate completes all five stages before you see their profile. You can also run your own technical round after our screening.
A timed test measuring analytical thinking, pattern recognition, and problem-solving clarity, independent of specific programming language knowledge.
A structured interview assessing communication style, conflict resolution, ownership mindset, and English proficiency in a professional context.
A 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.
Verification of work history, education, and identity with written consent, aligned with applicable privacy rules including LGPD where relevant.
We speak with at least two professional references who worked with the candidate in an engineering context, not personal contacts.
After our screening, you can optionally run your own technical round before making an offer.
Sample profiles
Anonymized profiles from our vetted talent pool. Actual candidates may vary.
São Paulo, Brazil
6+ years experience
Bogotá, Colombia
3+ years experience
Buenos Aires, Argentina
8+ years experience
Want to see profiles matched to your specific requirements?
Request matched profilesWhat to expect
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.
Junior DevOps Engineer
Mid DevOps Engineer
Senior DevOps Engineer
FAQ
Tell us your cloud platform and team size. We'll have a shortlist ready in 3 days.
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 tooling