Get Kubernetes Engineers
Get Kubernetes Engineers from Latin America
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.
Why LATAM for Kubernetes engineering
Real cost advantage
Senior Kubernetes engineers in the US earn $170k-$210k. LATAM equivalents deliver at $75k-$110k, meaningful for platform roles that require ongoing cluster management.
Timezone overlap for on-call
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.
Operational communication
Kubernetes engineers write incident postmortems, runbooks, and cluster documentation. LATAM engineers in this space are used to writing for mixed technical audiences.
CKA/CKS presence
Certified Kubernetes Administrator and Certified Kubernetes Security Specialist certifications are common in LATAM. We verify and still run live technical screens.
Cloud-native ecosystem depth
Platform engineers in our network work daily with CNCF tools: ArgoCD, Istio, Prometheus, Fluentd, Cert-Manager. They follow upstream releases closely.
What our Kubernetes engineers know
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)How we vet Kubernetes 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 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.
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.
Mid Kubernetes Engineer
São Paulo, Brazil
4+ years experience
Senior Kubernetes Engineer
Buenos Aires, Argentina
7+ years experience
Lead Platform Engineer
Bogotá, Colombia
10+ years experience
Want to see profiles matched to your specific requirements?
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What to expect
What sets our Kubernetes engineers apart
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.
LATAM vs US Kubernetes engineer salaries
Junior Kubernetes Engineer
Mid Kubernetes Engineer
Senior Kubernetes Engineer
Lead Platform Engineer
FAQ
Common questions
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Ready to meet your Kubernetes engineers?
Tell us your cluster setup and what needs solving. We'll have a shortlist in 3 days.