Kubernetes Outcome-Based Delivery — Virtual Delivery Center, Priced in Delivery Units

Pre-vetted Kubernetes engineering pods, fully managed delivery, structurally outcome-based pricing via Delivery Units. Onboarded in days — not months. No hiring overhead, no infrastructure to set up.

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What is a Kubernetes Virtual Delivery Center?

A Kubernetes VDC is your cloud-native execution unit — a pre-assembled pod of Kubernetes engineers, a delivery manager, and the tooling to ship outcomes against your roadmap. AiDOOS handles vetting, onboarding, governance, and reporting; you review shipped work against milestones.

Kubernetes is the container-orchestration foundation across most AiDOOS infrastructure engagements. Specialists cover EKS, GKE, AKS, and self-hosted Kubernetes installations; Helm charts and Kustomize for manifest management; service-mesh tooling (Istio, Linkerd); GitOps workflows with Argo CD or Flux; and the operator pattern for custom workload management. Common engagements: greenfield platform builds on Kubernetes, migration from legacy deployment systems, and reliability / cost-optimization work on existing clusters.

Pre-vetted Kubernetes talent — portfolio + AI assessment + live interview
Dedicated delivery manager who runs the engagement end-to-end
Delivery Unit (DU) pricing — pay only for shipped, accepted output. Refundable unused DUs.
Scale up, scale down, or pause without long-term commitments

Live Kubernetes roles

5–10

Days to onboard a pod

100%

Managed delivery

$/DU

Delivery Unit pricing

Live Kubernetes Roles

Open positions on active Kubernetes delivery pods. Apply to join, or talk to us about sponsoring a new pod.

Backend Engineer Lead
remote · 10–12 yrs · 12 mo

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Why teams choose AiDOOS for Kubernetes

Speed without the hiring tax

Skip the 60–90 day recruiting cycle. AiDOOS maintains a pre-vetted bench of Kubernetes engineers, so kickoff happens after scope alignment — not after months of interviews.

Quality with embedded governance

Every pod ships with a delivery manager, code-review SLAs, integration with your GitHub / Jira / Monday, and milestone reporting. Outcomes are auditable end-to-end.

Elastic capacity, fixed economics

Add or release Kubernetes engineers without long-term commitments. Delivery Unit (DU) pricing means you only pay for shipped, accepted work. Unused DUs are refundable.

Related technologies in DevOps & Infrastructure

Explore VDCs for adjacent technology stacks — most engagements span 2–3 of these.

Engineers we staff for Kubernetes

Most Kubernetes VDC engagements include 2–4 of these specialisms. Each role page covers seniority bands, pod composition, and how to launch.

Industries where Kubernetes is common

AiDOOS deploys Kubernetes pods across regulated and non-regulated sectors. Each industry page covers compliance posture, common engagements, and how to start.

Kubernetes VDC — Frequently Asked Questions

How fast can AiDOOS onboard a Kubernetes delivery team?

Most Kubernetes Virtual Delivery Centers are operational within 5–10 business days. AiDOOS maintains a vetted bench of pre-screened talent, so kickoff happens after scope alignment, not after months of recruiting.

What seniority levels are available for Kubernetes?

AiDOOS provides Kubernetes engineers across all seniority tiers — junior (2–4 yrs), mid (4–8 yrs), senior (8–12 yrs), and architect/principal (12+ yrs). Pods are composed by our delivery managers based on the outcomes you define.

How is Kubernetes delivery managed end-to-end?

Every VDC ships with a dedicated AiDOOS Delivery Manager who runs the engagement: sprint cadence, code reviews, integration with your tools (GitHub, Jira, Monday), and milestone reporting. You review outcomes, not timesheets.

What does a Kubernetes VDC cost?

AiDOOS prices Kubernetes delivery in Delivery Units (DUs) — a universal output-based currency. Tier rates run from $200/DU (Starter, 10 DUs) down to under $140/DU (Enterprise). You only pay for shipped, accepted DUs; unused DUs in your wallet are refundable. See the pricing page for tier details.

How is Kubernetes talent vetted?

All Kubernetes candidates pass a multi-stage screen: portfolio + GitHub review, AI-driven technical assessment scored against the role rubric, and a live engineering interview. Continuous performance signals from delivered work feed back into ranking.