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Hire expert Kubernetes developers

Add a Kubernetes engineer who builds and runs your clusters on EKS, GKE or AKS, packages services with Helm, deploys through GitOps, and makes autoscaling, security and cloud spend predictable.

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A cleaner way to hire Kubernetes developers

Hire Kubernetes developers from Krapton to design, run and improve the clusters your services depend on, whether that is a first move from VMs or a platform already stretched by growth. A dedicated Kubernetes engineer works on managed...

Shortlist
24h
Replacement
30d
IP yours
100%

  • Right-sized workloads and nodes

    Most cluster waste comes from guessed resource requests. A Kubernetes specialist sets requests and limits from Prometheus usage data, reads Vertical Pod Autoscaler recommendations, consolidates nodes with Karpenter, and runs interruptible batch work on spot capacity, so you pay for what pods actually use.

  • Deploys that stop surprising you

    Readiness probes that reflect real health, rolling update settings, PodDisruptionBudgets, topology spread constraints and preStop hooks mean releases and node drains stop causing errors. Progressive delivery with Argo Rollouts adds canaries that roll back automatically when metrics degrade.

  • Security that passes review

    Your engineer applies least-privilege RBAC, Pod Security Admission at the restricted level, NetworkPolicies, workload identity instead of static cloud keys, and External Secrets backed by a cloud secret manager, then verifies the setup with kube-bench and Kyverno policy reports.

  • Git as the source of truth

    With Argo CD or Flux, cluster state lives in Git, changes go through pull requests, and drift is detected automatically. Rollbacks become a revert, audits become a commit log, and new environments are created from the same reviewed manifests.

Why Kubernetes?

What makes Kubernetes the right choice for modern engineering teams.

  • Container orchestration

    Kubernetes provides robust container orchestration, automating the deployment, scaling, and management of containerized applications.

  • Cluster management

    Kubernetes enables the efficient management of clusters, allowing developers to deploy and scale applications across a cluster of machines.

  • Service discovery and load balancing

    Kubernetes offers service discovery and load balancing for distributing network traffic among multiple instances of an application.

  • Rolling updates and rollbacks

    Kubernetes supports rolling updates, allowing seamless deployment of new versions, and rollbacks in case of issues, ensuring application reliability.

  • Auto-scaling

    Kubernetes can automatically scale the number of application instances based on demand, optimizing resource utilization.

  • Multi-environment deployment

    Kubernetes supports deployment across various environments, including on-premises data centers and cloud platforms.

  • Resource monitoring and logging

    Kubernetes provides tools for monitoring resource usage, logging, and debugging, aiding in application performance analysis.

  • Self-healing

    Kubernetes automatically detects and replaces failed containers or nodes, ensuring high availability and reliability of applications.

  • Declarative configuration

    Kubernetes uses declarative configuration files to define the desired state of applications and infrastructure, promoting consistency and version control.

  • Extensibility

    Kubernetes is highly extensible, allowing developers to integrate custom plugins and extend functionality through its API.

What you can build with Kubernetes

  • Managed production clusters

    EKS, GKE or AKS clusters provisioned with Terraform, with private networking, node pools or Karpenter NodePools, workload identity, and add-ons for DNS, certificates, Gateway API routing and metrics.

  • Helm chart libraries

    Reusable, versioned Helm charts with sensible defaults, values schemas, probes and resource settings built in, tested with helm lint and chart-testing, so teams ship new services without copying YAML.

  • GitOps delivery pipelines

    CI builds and scans images, then updates manifests in Git; Argo CD or Flux syncs each environment, with ApplicationSets for multi-cluster rollouts and Argo Rollouts for canary or blue-green releases.

  • Observability stacks

    Prometheus with kube-state-metrics, Grafana dashboards, Loki or a managed logging service, OpenTelemetry traces, and alerts written against SLOs rather than raw CPU, so on-call engineers act on symptoms users feel.

  • Event-driven autoscaling

    KEDA scaling consumers on queue depth from Kafka, SQS or RabbitMQ, HPA on custom metrics, and scale-to-zero for workers that sit idle outside business hours.

  • Custom Kubernetes operators

    Controllers and CRDs written in Go with Kubebuilder or Operator SDK, automating backups, tenant provisioning or failover that would otherwise depend on runbooks and manual steps.

Is Kubernetes right for your team?

Kubernetes solves real problems: many services with different scaling needs, deployments across several clouds or regions, multi-tenant isolation, and teams that need a consistent platform rather than hand-built servers. It also brings real costs: a steady stream of upgrades, a large surface for misconfiguration, and the need for someone who understands it deeply when something breaks at night. For a product with a few services and a small team, Amazon ECS, Google Cloud Run or a platform-as-a-service is often the better decision, and moving to Kubernetes later is straightforward if the application is already containerized and stateless. A Krapton Kubernetes engineer gives you that assessment honestly before building anything. When Kubernetes is the right choice, they keep the setup as small as possible: a managed control plane, few add-ons, and defaults your team can understand.

Clusters tend to fail in familiar ways. Pods without resource requests land on overloaded nodes and get evicted under pressure. Liveness probes that check a database connection restart healthy pods during a database blip, turning a small incident into an outage. Deployments without PodDisruptionBudgets drop to zero replicas during node upgrades. Secrets sit in plain manifests in Git. Autoscalers fight each other because HPA and VPA both act on CPU. Your developer prevents each of these with specific practice: requests derived from metrics, liveness probes that test only the process itself, disruption budgets and topology spread for every critical workload, External Secrets or Sealed Secrets, and clear rules about which autoscaler owns which signal. Each fix goes into Helm defaults and admission policies, so new services inherit it automatically.

Kubernetes in action

apiVersion: apps/v1
kind: Deployment
metadata:
  name: webapp-deployment
spec:
  replicas: 2
  selector:
    matchLabels:
      app: webapp
  template:
    metadata:
      labels:
        app: webapp
    spec:
      containers:
      - name: webserver
        image: nginx:latest
        ports:
        - containerPort: 80

---

apiVersion: v1
kind: Service
metadata:
  name: webapp-service
spec:
  type: LoadBalancer
  selector:
    app: webapp
  ports:
    - protocol: TCP
      port: 80
      targetPort: 80

What our Kubernetes developers know

Every Krapton developer is vetted with real production experience in Kubernetes across multiple industry domains.

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  • Container orchestrationProficient in using Kubernetes for orchestrating and managing containerized applications in a clustered environment.
  • Kubernetes architectureUnderstanding of the Kubernetes architecture, including nodes, pods, services, controllers, and the Kubernetes API.
  • Kubectl command-line interfaceMastery of using kubectl, the Kubernetes command-line interface, for interacting with and managing Kubernetes clusters.
  • Deployment and scalingExperience in deploying applications on Kubernetes clusters and scaling them based on demand.
  • Service discovery and load balancingSkillful in configuring service discovery and load balancing to ensure efficient distribution of network traffic.
  • Rolling updates and rollbacksExpertise in performing rolling updates and rollbacks to maintain application availability during deployments.
  • Auto-scalingKnowledge of configuring auto-scaling to automatically adjust the number of application instances based on resource utilization.
  • Monitoring and loggingProficient in using Kubernetes monitoring and logging tools to analyze resource usage and troubleshoot issues.
  • Declarative configurationSkills in writing declarative configuration files to define and manage the desired state of applications and infrastructure.
  • Troubleshooting and debuggingExperience in troubleshooting and debugging issues in Kubernetes clusters for optimal performance and reliability.

What our Kubernetes developers go deep on

  • Workload configuration and scheduling

    Deployments, StatefulSets, Jobs and CronJobs, requests and limits, QoS classes, affinity and anti-affinity, taints and tolerations, topology spread constraints, and priority classes for critical services.

  • Helm, kustomize and packaging

    Chart design with library charts and values schemas, Kustomize overlays per environment, Helmfile for release sets, and avoiding templating so clever that nobody can predict the rendered output.

  • Networking, ingress and gateway API

    Service and kube-proxy behavior, CNI choices such as Cilium, NetworkPolicies, ingress controllers and Gateway API, cert-manager for TLS, ExternalDNS, and when Istio or Linkerd is actually justified.

  • Cluster security and policy

    RBAC design, Pod Security Admission, Kyverno or OPA Gatekeeper policies, image signature verification, workload identity on EKS, GKE and AKS, API audit logging, and runtime detection with Falco.

  • Autoscaling and capacity planning

    HPA on CPU and custom metrics, VPA in recommendation mode, KEDA for event-driven scaling, Karpenter or Cluster Autoscaler for nodes, and the interactions between them that cause flapping.

  • Troubleshooting live clusters

    Reading events and pod status, diagnosing CrashLoopBackOff and OOMKilled, kubectl debug with ephemeral containers, CoreDNS problems, etcd pressure on self-managed clusters, and stuck finalizers.

Common Kubernetes projects we deliver

  • Moving workloads from VMs to Kubernetes

    Services are containerized, configuration moves into ConfigMaps and Secrets, stateful parts stay on managed databases, and traffic shifts gradually through the load balancer, so each service migrates independently with a tested rollback path.

  • Cutting an oversized cluster bill

    Your engineer measures actual usage with OpenCost or Kubecost, right-sizes requests, removes idle workloads, enables Karpenter consolidation and spot instances for tolerant jobs, and sets namespace quotas so costs stay attributed to teams.

  • Catching up on overdue cluster upgrades

    Clusters several versions behind are upgraded one minor version at a time, with removed APIs found by pluto or kubent, add-ons updated first, and node pools rotated behind PodDisruptionBudgets to avoid downtime.

  • Building an internal developer platform

    Platform teams give developers self-service namespaces, templated services and preview environments through Backstage, Crossplane or Helm-based scaffolding, with guardrails enforced by admission policies instead of tickets.

Kubernetes solutions by industry

  • SaaS platforms

    Multi-tenant products use namespaces, quotas and network policies to isolate customers, with GitOps making every release and rollback traceable across clusters.

  • Fintech

    Payment and banking systems need audited change control, encrypted secrets, strict network segmentation and zero-downtime deploys during trading or settlement windows.

  • AI and ML

    Teams running model training and inference schedule GPU nodes, isolate expensive hardware with taints and node selectors, and autoscale inference services on request load.

  • Telecom

    Network and messaging platforms run latency-sensitive services across regions and edge sites, relying on Kubernetes for consistent deployment and self-healing behavior.

Kubernetes vs Amazon ECS

Amazon ECS is the simpler option for teams fully committed to AWS: no control plane to upgrade, fewer concepts, and tight IAM and load balancer integration, especially on Fargate. Kubernetes demands more expertise but gives you portability across clouds, a large ecosystem of operators and tools, and finer control over scheduling. Small teams running a handful of services often do better on ECS.

Kubernetes vs Amazon ECS
DimensionKubernetesAmazon ECS
Learning curveSteep; many concepts and moving partsGentler; fewer, AWS-native concepts
PortabilityRuns on any cloud or on-premiseTied to AWS infrastructure
UpgradesRegular control plane and add-on upgradesHandled by AWS with little effort
EcosystemHelm, operators, Argo CD, service meshesAWS services, CDK and Terraform modules
Scheduling controlAffinity, taints and topology spreadPlacement strategies with a simpler model
Best fitMany services, multi-cloud, platform teamsFew services, AWS-only, small ops team

How to hire Kubernetes developers in 5 steps

A transparent, low-risk process — from first call to onboarded engineer in about two business days.

  1. 01Day 0

    Share your brief

    Tell us the stack, scope, seniority and the timezone overlap you need on a free 30-minute discovery call. No obligation, no sales pitch.

  2. 02Within 24 hours

    Review matched profiles

    We shortlist 2–3 pre-vetted Kubernetes engineers from our in-house bench, with CVs and directly relevant work — usually within one business day.

  3. 03Days 1–2

    Interview & test

    Interview each developer yourself, run a paid trial task, or do a live pairing session. You decide who joins — we never push a profile.

  4. 04Within 2 days

    Onboard securely

    Sign a free NDA, then plug the developer into your Jira, repository and Slack. Engagements are month-to-month with no lock-in.

  5. 05Ongoing

    Scale or replace

    Scale the team up or down month by month as the roadmap changes. If the fit is not right, you get a free replacement within the first 30 days.

More DevOps technologies

Other DevOps technologies we work with at Krapton.

Three ways to hire Kubernetes developers

Pick the engagement that matches how you actually work. No multi-year contracts — scale up or down month by month.

  • Dedicated developer

    Most popular

    Full-time Kubernetes engineer who reports only to you. Best for ongoing products, long-term roadmaps and teams that need a core hire without the HR overhead.

    • 40 hours / week
    • Your Jira, your repo
    • Month-to-month

  • Hourly / time & materials

    Pay only for billable hours. Ideal for research spikes, code audits, or variable-load Kubernetes work where scope is still being discovered.

    • Weekly timesheets
    • Slack-first comms
    • No minimum commit

  • Fixed-price milestones

    Scoped delivery with clear milestones and acceptance criteria. Best for well-defined Kubernetes builds like an MVP, a migration or a specific module.

    • Scope locked upfront
    • Milestone acceptance
    • Predictable budget

Compare ways to hire Kubernetes developers

Pick the model that matches how you work. Switch between them as your Kubernetes project evolves — no multi-year contracts.

Compare ways to hire Kubernetes developers
EngagementDedicated developer (popular)Hourly / time & materialsFixed-price milestones
Best forOngoing products & long-term roadmapsExploratory or variable-load workWell-scoped MVPs, modules & migrations
BillingMonthly, full-time (~160 hrs)Per billable hourPer accepted milestone
CommitmentMonth-to-month, no lock-inNo minimum commitmentScope locked up front
FlexibilityScale up or down monthlyHighest — pay for what you useLowest — defined deliverables
You manageDay-to-day in your toolsWeekly prioritiesAcceptance criteria only
ReportingDaily standupsWeekly timesheetsMilestone demos

Hire Kubernetes developers from anywhere

Our New Delhi team partners with founders and engineering leaders across eight key markets, with enough daily timezone overlap to feel in-house.

  • Hire Kubernetes developers in India

    Full working-day overlap

    Krapton is an on-shore Kubernetes studio in New Delhi. Hire Kubernetes developers in India and get senior, full-time engineers at roughly 50–70% of US/UK rates — with English-fluent communication and IST working hours.

  • Hire Kubernetes developers in USA

    4–6 hours of daily overlap — your morning, our evening

    Hire dedicated Kubernetes developers for your USA team without the local price tag. US companies work with our vetted, full-time Kubernetes engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.

  • Hire Kubernetes developers in UK

    Overlap across your whole morning (our afternoon)

    Hire dedicated Kubernetes developers for your UK team without the local price tag. UK companies work with our vetted, full-time Kubernetes engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.

  • Hire Kubernetes developers in Canada

    4–6 hours of daily overlap with ET and PT

    Hire dedicated Kubernetes developers for your Canada team without the local price tag. Canada companies work with our vetted, full-time Kubernetes engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.

  • Hire Kubernetes developers in Australia

    Strong overlap — our morning is your afternoon

    Hire dedicated Kubernetes developers for your Australia team without the local price tag. Australia companies work with our vetted, full-time Kubernetes engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.

  • Hire Kubernetes developers in UAE

    Near-complete overlap — just 90 minutes apart

    Hire dedicated Kubernetes developers for your UAE team without the local price tag. UAE companies work with our vetted, full-time Kubernetes engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.

  • Hire Kubernetes developers in Germany

    Overlap through your morning and our afternoon (DACH)

    Hire dedicated Kubernetes developers for your Germany team without the local price tag. Germany companies work with our vetted, full-time Kubernetes engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.

  • Hire Kubernetes developers in Singapore

    Near-complete overlap — only 2.5 hours apart

    Hire dedicated Kubernetes developers for your Singapore team without the local price tag. Singapore companies work with our vetted, full-time Kubernetes engineers at 50–70% lower cost than local contractors, with enough daily overlap for live standups, pairing and code review.

Kubernetes developer rates

Hire dedicated Kubernetes developers from Krapton's team in India. Rates below are blended hourly bands; dedicated developers are billed monthly with no lock-in.

Get a tailored quote

  • Junior (1–3 yrs)

    Feature work under senior review

    $25–$32/hr

  • Mid-level (3–6 yrs)

    Owns modules end-to-end

    $32–$40/hr

  • Senior / lead (6+ yrs)

    Architecture, reviews, mentoring

    $40–$50/hr

Why teams hire Kubernetes developers from Krapton

Projects delivered
50+
In-house engineers
60+
Average client rating
4.8/5
On-time delivery
98%

  • Vetted, full-time engineers

    Every Kubernetes developer is a full-time, in-house Krapton engineer — never a freelancer or subcontractor.

  • Ready in 24 hours

    Shortlisted Kubernetes CVs within a business day and an onboarded developer within two.

  • Clear hourly rates

    Published hourly bands by seniority, billed monthly, with no lock-in.

  • Your IP, your repos

    Full IP assignment, free NDA on request, and all code in your accounts from day one.

  • 30-day replacement

    Not the right fit? Free replacement within five business days in the first 30 days.

  • Real timezone overlap

    4–6 hours of daily overlap with US, UK, EU, UAE and AU teams for live collaboration.

Services that pair well with Kubernetes

Most Kubernetes engagements also benefit from these Krapton services. Browse full offerings on the services page.

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Hiring Kubernetes developers — answered

Practical answers to the questions CTOs and founders ask us most often before they hire.

How quickly can I hire a Kubernetes developer from Krapton?

Within 24 hours of the initial call. We keep a bench of pre-vetted Kubernetes engineers, so once you confirm the brief we line up two or three shortlisted CVs within a business day and can onboard the selected developer within two.

How much does it cost to hire a dedicated Kubernetes developer from India?

Blended hourly rates for senior Kubernetes engineers typically fall in the $25–$50 USD range depending on seniority and engagement length. Dedicated developers are billed monthly with no lock-in.

Are your Kubernetes developers full-time employees or freelancers?

Every Kubernetes developer you hire through Krapton is a full-time, in-house engineer — we never subcontract to freelancers or agencies. That means consistent code quality, signed NDAs, and a single point of accountability for your project.

Who owns the code and IP my Kubernetes developers write?

You do — 100%. IP assignment and confidentiality are covered by the contract and a free NDA on request. All code lives in your repositories, on your infrastructure, under your accounts from day one.

What should a senior engineer know when I hire Kubernetes developers?

They should understand how the scheduler, kubelet and controllers behave, not just how to apply manifests. Expect fluency with resource management, probes, rollout strategies, RBAC, networking and storage classes, plus hands-on use of Helm, a GitOps tool and Prometheus. Ask how they would upgrade a production cluster without downtime or diagnose a pod stuck in Pending; good answers name specific checks, commands and failure modes.

Should we run Kubernetes or Amazon ECS?

Choose ECS if you are committed to AWS, run a modest number of services and want minimal operational work; choose Kubernetes if you need portability, a rich tooling ecosystem or advanced scheduling. ECS on Fargate removes nodes and upgrades from your plate. Kubernetes on EKS gives more control but requires ongoing platform work. Your developer can map your services and team size to the option that fits.

How do you migrate existing applications onto Kubernetes?

Migrate one service at a time, starting with stateless ones. Each service gets a container image, health endpoints, externalized configuration and a Helm chart, then runs alongside the old deployment while traffic shifts gradually through weighted DNS or the load balancer. Databases usually stay on managed services such as Amazon RDS or Cloud SQL rather than moving into the cluster, which keeps backups and failover simpler.

How do you secure and monitor a Kubernetes cluster?

Security starts with least privilege: scoped RBAC, Pod Security Admission, default-deny NetworkPolicies, workload identity for cloud access and signed images enforced at admission. Monitoring uses Prometheus and Grafana for metrics, centralized logs, OpenTelemetry traces and alerts tied to service-level objectives. Your engineer also enables API audit logs and runs CIS benchmark checks so misconfigurations surface before an attacker or auditor finds them.

How do you handle Kubernetes version upgrades?

Upgrades are scheduled as routine work, one minor version at a time, because Kubernetes ships three releases a year and managed providers retire old versions; EKS charges extra for extended support. Your engineer scans manifests for removed APIs, upgrades add-ons and controllers first, tests on a staging cluster, then rotates node pools behind disruption budgets. Larger shifts, such as leaving the retired community ingress-nginx project for Gateway API, are planned separately.

Keep exploring

More ways to plan your Kubernetes build and team with Krapton.

Ready to build with Kubernetes?

Get a free 30-minute consultation with our Kubernetes team. Clear roadmap, transparent pricing, no obligation.

  • Free NDA on request
  • Response within 24 hours
  • Certified Kubernetes developers
  • Flexible engagement models
  • US, UK, UAE & India clients served

Let's start your first project at reasonable prices.

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