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Hire Kubernetes Developer

Hire Kubernetes engineers who run production clusters

From cluster design to day-2 operations, our Kubernetes engineers have run production workloads for clients from Meta to regulated fintech platforms. Get senior K8s help in your time zone.

When to Hire

When Teams Bring in Kubernetes Developers

Kubernetes expertise is expensive to keep on staff and painful to be without. Most teams need deep K8s skills in bursts, but the platform still needs someone who can read it when things break at 2 a.m.

Our engineers handle both modes. They run the migration project, then stay embedded for operations in your working hours. They work AI-assisted on manifests and tooling, banking the saved hours for the reliability engineering that matters.

We are an engineering company, not a contractor marketplace. The engineer who joins you is backed by all of us.

Migrating to Kubernetes

Moving workloads off VMs or ECS without downtime.

Cluster costs climbing

Over-provisioned clusters that need right-sizing and autoscaling.

An audit is coming

RBAC, network policy, and secrets discipline on a deadline.

Day-2 operations

A platform team stretched too thin to run what it built.

Skills and Use Cases

The Skills Your Kubernetes Project Requires

Kubernetes is an open-source container orchestration platform for automating deployment, scaling, and management of containerized applications, enabling efficient and resilient microservices architectures.

Our Kubernetes Developers always have

Cluster architecture, migrations, and upgrades

GitOps deployment with ArgoCD or Flux

RBAC, network policies, and secrets management

Cost and resource optimization from real measurement

Observability with Prometheus and Grafana

Where Teams Use Kubernetes

Migrating workloads from VMs or ECS to Kubernetes

Reducing cluster spend through right-sizing and autoscaling

Meeting audit requirements with RBAC and network policy

Day-2 operations for platform teams stretched thin

Related Technologies:

Docker logo

Docker

Terraform logo

Terraform

Ansible logo

Ansible

Jenkins logo

Jenkins

Add a Kubernetes Consulting Services

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How We Hire

How We Vet Kubernetes Engineers

Plenty of engineers can deploy to Kubernetes. We score for the ones who can run it.

dimension
Strong signal
Red flag
Failure fluency
Debugs CrashLoopBackOff, OOMKills, DNS, and node pressure from symptoms
Needs a runbook for every incident
Resource discipline
Requests and limits set from measurement; bills that go down
Copies resource blocks between manifests
Security defaults
RBAC, network policies, pod security, and secrets treated as baseline
Treats security as a hardening phase for later
GitOps
ArgoCD or Flux in production, with a rollback they have actually used
Demo repos only; kubectl apply in production
Observability
Alerts built around what should page a human
Dashboards for everything, alerts for nothing

Our favorite filter: Describe a production incident on Kubernetes and walk me through the diagnosis.

Our Experience

Kubernetes Work We Have Shipped

We run Kubernetes where it matters. The generative AI search platform we built for Meta runs on K8s. So does the compliance data platform we built for Six Lambda, and the fintech AI infrastructure we built for Stovell AI across AWS, Azure, and Google Cloud. Kubernetes appears in six of the case studies below because it is how we ship most server-side work.

Used in the Case Studies

Case studies from our Kubernetes engagements

Stovell AI

Fintech AI Development: Predictive Analytics for Alpha Generation

Read the Case Study
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Meta

Enterprise AI Development: A Generative Semantic Search Engine

Read the Case Study
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So much of a successful Cloud development project is the listening. The Azumo team listens. They clearly understood the request and quickly provided solid answers.

Matt Sutton · Head of Product, Ansys

Benefits of Azumo

Why Azumo for Your Software Development

Ship faster with engineers who build with and for AI. We have delivered production ready solutions since 2016.

JP Lorandi, Azumo's CTO wearing a black collared shirt against a white background.
"Our engineers build production AI every day for our clients and our own primitives. That's the difference between a team that's used AI and one that ships it.”

Juan Pablo Lorandi
CTO, Azumo · 25+ years of software architecture experience.
Certified Claude Architect

Build With AI

Engineers develop with AI daily, compressing delivery cycles without cutting corners.

Senior by Default

We hire for seniority and test for it before anyone joins your team.

Scale on Demand

Grow or shrink the team as your roadmap changes — no renegotiation drama.

Time-Zone Aligned

Real-time collaboration across your full working day, from Latin America.

Engagement That Fits

Dedicated team, staff augmentation, or full project build. You pick the model.

Keep Exploring

Do you need end-to-end AI augmented delivery instead of adding engineers?

We also run full project builds, from requirements to production.

Related Technologies

Docker

Terraform

Ansible

Jenkins

Frequently Asked Questions

  • Migrations from VMs or ECS, cluster architecture, security and audit readiness, cost reduction, and day-2 operations. We run the project work and can stay embedded for operations afterward.

  • Either, and most clients use both: a defined migration or remediation project first, then embedded engineers for operations in your working hours.

  • Incident-first. Candidates walk our reviewers through real production failures and their diagnosis. Engineers who have carried a pager answer differently, and the rubric on this page is how we score it.

  • Usually, and we measure before we promise. Right-sizing from actual utilization, autoscaling tied to the right signals, and spot strategies where they fit. Ask us to review your bill before you commit to anything.

  • Yes: RBAC, network policies, pod security standards, and secrets management brought to baseline, with the evidence auditors ask for. Azumo is SOC 2 certified ourselves, so we have sat on your side of that table.

  • Yes, fully. Nearshore from Latin America with complete overlap of your business day, including incident response during working hours.

  • AWS, Azure, and Google Cloud, including multi-cloud setups. The fintech platform in our case studies runs across all three, so cross-cloud Kubernetes is familiar ground rather than a special request.

  • Learn, by design. Our engineers work embedded: pairing, code review, and runbooks written as we go. The goal is that your team can operate what we build without us, even if most clients keep us around anyway.

Hire Your Kubernetes Developer from Azumo

Book a time for a free consultation with one of our Software Architects to discuss your Kubernetes software development requirements