Get Kubernetes Engineers
Container orchestration specialists from Brazil, Argentina, and Colombia who run Kubernetes in production. They manage clusters on EKS, GKE, and AKS, configure Helm charts, set up GitOps with ArgoCD, and troubleshoot workloads that are actually running.
Senior Kubernetes engineers in the US earn $170k-$210k. LATAM equivalents deliver at $75k-$110k — meaningful for platform roles that require ongoing cluster management.
LATAM's UTC-3 to UTC-5 range gives 4-8 hours of overlap with US teams. On-call rotation for cluster incidents is shared without requiring 3am coverage.
Kubernetes engineers write incident postmortems, runbooks, and cluster documentation. LATAM engineers in this space are used to writing for mixed technical audiences.
Certified Kubernetes Administrator and Certified Kubernetes Security Specialist certifications are common in LATAM. We verify and still run live technical screens.
LATAM platform engineers are active in the CNCF ecosystem — ArgoCD, Istio, Prometheus, Fluentd, Cert-Manager. They contribute to open source and follow upstream closely.
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 Kubernetes core concepts under real scenarios. Candidates debug a given manifest — identifying resource limit issues, misconfigured liveness probes, and network policy blocks. We cover Helm chart authoring (templates, helper functions, dependencies), ArgoCD GitOps setup for a multi-environment deployment, and RBAC design for a team with least-privilege requirements. The session ends with an incident walkthrough: a deployment is stuck in CrashLoopBackOff, and we walk through kubectl commands, log analysis, and the fix.
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
4+ years experience
Buenos Aires, Argentina
7+ years experience
Bogotá, Colombia
10+ years experience
Want to see profiles matched to your specific requirements?
Request matched profilesWhat to expect
Kubernetes engineers in our network manage clusters in production, not just in tutorials. They understand the failure modes, know what to check when something breaks at 2am, and document their runbooks so the next person on call isn't lost. They use AI tools to speed up the configuration-heavy parts of platform work.
GitHub Copilot for Helm chart template generation and Kubernetes manifest authoring. YAML-heavy configuration work gets done faster without sacrificing review quality.
AI-assisted runbook generation from existing incident history — useful for new clusters where institutional knowledge hasn't been written down yet.
Config drift detection is built into their GitOps setup. They don't discover drift during an incident.
They write postmortems after every significant incident: what broke, why, what they changed, and what monitoring they added to catch it earlier next time.
They track cluster costs using Kubecost or Cloud Provider tools and flag inefficient workloads to the engineering team before the next billing cycle.
Junior Kubernetes Engineer
Mid Kubernetes Engineer
Senior Kubernetes Engineer
Lead Platform Engineer
FAQ
Related roles
Tell us your cluster setup and what needs solving. We'll have a shortlist in 3 days.
Kubernetes (EKS, GKE, AKS, bare metal)
Helm 3 (charts, templates, values)
ArgoCD (GitOps)
Ingress (NGINX, Traefik, AWS ALB)
Prometheus + Grafana
Loki, Tempo, OpenTelemetry
Terraform (EKS/GKE/AKS modules)