Cluster Design & Provisioning
Multi-AZ EKS, AKS, GKE, or on-prem clusters provisioned through Terraform or Crossplane, with node pools tuned to your workload shape.
- IaC modules
- Node pool plan
- Disaster recovery
Senior Kubernetes engineers handling cluster design, GitOps pipelines, service mesh, autoscaling, security hardening, and platform engineering. Onboarded inside your cloud account, on your stack, on your sprint cadence from day one.
Trusted by enterprises across Retail, Manufacturing, BFSI, Logistics, and FMCG
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With 24+ years of enterprise delivery and a bench of 500+ engineers, orangemantra ships Kubernetes engineers who own the platform end-to-end: cluster topology, GitOps, service mesh, autoscaling, security, and observability.
Container teams hit the same wall. Helm sprawl, drifting clusters, noisy alerts, and no clear path from a pull request to production. Hire Kubernetes engineers who replace that with a platform contract, where every service deploys the same way and every cluster looks the same from kubectl. Pair them with hire DevOps engineers when the engagement needs both platform and pipeline.
Core Kubernetes Capabilities
Every engagement moves through these three layers. Hire Kubernetes engineers who own each one end-to-end, not specialists who hand off the cluster before the workload lands.
Multi-AZ control plane, node pool design, ingress, storage classes, and RBAC. The bedrock every application team builds on, version-controlled and reproducible.
GitOps with ArgoCD or FluxCD, Helm and Kustomize packaging, service mesh, autoscaling, and the developer self-service paths your application teams actually use.
Pod security, network policies, image scanning, runtime detection, plus Prometheus, Grafana, Loki, and OpenTelemetry wired in before traffic moves over.
Most "we are on Kubernetes" engagements arrive with one item missing. The cluster runs, the pods schedule, traffic flows. Then something breaks on a Sunday and the gap surfaces. These are the six items we audit before signing off any cluster as production.
Default service accounts in every namespace, cluster-admin bound to humans, no isolation between workloads. We replace the implicit trust with explicit roles, scoped to the smallest meaningful boundary.
A cluster that allows any pod to talk to any other pod is a flat network with extra steps. Calico, Cilium, or built-in network policies fence each workload to the services it actually needs.
No requests means the scheduler guesses. No limits means a runaway pod takes the node down. No disruption budget means a routine drain takes the workload offline. All three get set in one PR.
Prometheus alone is not observability. Logs, metrics, and traces all need to land somewhere queryable, with retention that matches the audit window. We wire it once, with alerts tied to user-facing symptoms, not raw counters.
Secrets in plain YAML, images pulled from Docker Hub at random tags, no signing. We move secrets to External Secrets or sealed-secrets, pin images to digests, and gate deploys on a signature check.
A backup that was never restored is not a backup. We document the restore runbook, schedule a real test on a fresh cluster, and confirm the RPO and RTO match what the engagement promised.
Pre-vetted Kubernetes engineers ready to start inside a fortnight. The bench covers cluster, GitOps, mesh, and security without recruitment lag.
Every deploy ships through a GitOps controller, behind quality gates. No kubectl apply on Friday afternoon, no drift in the morning.
Comfortable across EKS, AKS, GKE, OpenShift, and bare metal. The right platform for the workload, not the loudest cloud brand.
Working cluster foundation in two to four weeks, then a hardened path to scale with autoscaling, observability, and cost controls.
Hire Kubernetes engineers who plan around your application architecture, compliance posture, and procurement cycles, not a templated platform deck.
If a pod crash-loops at 2 am, the Kubernetes engineers for hire are a Slack ping away. Coverage windows are set on the engagement.
The right path depends on traffic shape, regulatory posture, and how much of the platform your team wants to operate. Hire Kubernetes engineers who frame the trade-off before they spin up a cluster.
Best when time-to-value matters and the team is small. Engineers stand up EKS, AKS, or GKE with IaC, GitOps, and the security baseline before any application lands. Pairs well when you also hire cloud developers for the application side.
For data residency, custom hardware, or sustained scale where managed pricing breaks down. Engineers run kubeadm, Cluster API, or OpenShift with the same GitOps and observability baseline as managed.
Run regulated workloads on-prem, scale-out workloads on managed. One ArgoCD instance, one observability stack, one cost dashboard across every cluster.
An internal developer platform on top of Kubernetes, with golden paths, self-service templates, and a Backstage portal. Application teams ship without touching kubectl.
Lift, refactor, or rearchitect from VMs, ECS, or legacy PaaS. Parallel-run validation, traffic shifting, and a rollback plan documented up front.
Short, sharp engagement to audit an existing estate, surface security and cost risk, and produce a remediation plan you can act on next sprint.
Hire Kubernetes engineers who build for line items finance can verify: deployment frequency, change failure rate, MTTR, per-environment cost, and platform team time saved.
Explore your platformAI's impact on businesses is undeniable and immeasurable. Gear up with the orangemantra Kubernetes platform team.
The hiring path is built around enterprise procurement reality, not freelancer marketplaces. NDA on day one, profiles inside 48 hours, interviews on your schedule, and onboarding through your cloud account and identity provider.
Start the Hiring BriefA 30-minute call to map workload shape, cloud estate, compliance constraints, and the shape of the team needed: cluster lead, GitOps specialist, mesh owner, or SRE.
Three to five vetted Kubernetes engineers, ranked against the brief with prior cluster artefacts, certifications (CKA, CKAD, CKS), and rate cards. No bait-and-switch profiles.
Technical interview on your terms, optional paid trial sprint, and reference checks. Replace any engineer at no extra cost inside the trial window.
Engineers onboard to your identity provider, repos, ticketing, and cloud accounts. Delivery cadence locks to your sprint rhythm from week one.
Cluster economics shift by sector. The team scopes the platform to where the deployment friction, audit pressure, or scale-out load is already heaviest.
SaaS teams ship faster on Kubernetes when tenancy, namespaces, and quotas are designed up front. Engineers build the boundaries that let product velocity stay high.
Regulated estates need every deploy reviewed and logged. Engineers ship OPA Gatekeeper policies, signed images, and audit-ready logs alongside the platform.
Retail traffic shapes are spiky. Engineers tune HPA, KEDA, and Karpenter to ride peaks without overprovisioning the rest of the year.
Live and on-demand workloads need GPU nodes, regional clusters, and traffic-aware ingress. Engineers wire them into the same observability stack.
PHI workloads need encryption, isolation, and audit trails. Engineers build clusters with PHI-aware namespaces, secret rotation, and BAA-ready logs.
Mobile, IoT, and warehouse systems all hit the same APIs. Engineers wire the platform with K3s edge clusters and central observability.
A working platform is a stack, not a kubeconfig. Hire Kubernetes engineers fluent across distributions, packaging, GitOps, mesh, and observability layers.
Kubernetes
Helm Kustomize
Docker / containerd
Amazon EKS
Azure AKS
Google GKE
Red Hat OpenShift
ArgoCD
FluxCD
GitHub Actions
Jenkins
Tekton
Terraform & Crossplane
Istio
Linkerd
Cilium & eBPF
NGINX Ingress
Envoy Gateway
Prometheus
Grafana & Loki
OpenTelemetryThree models, one delivery floor. Switch between them as the programme moves from cluster audit to platform build to long-running SRE. Add adjacent profiles through hire dedicated developers.
The first sprint usually delivers an audit and a target topology. The next two harden the platform: GitOps, mesh, autoscaling, security, and observability before any traffic moves over.
Talk to Our TeamReal reviews from teams that have shipped with orangemantra. Verified on Clutch and GoodFirms.
"They shipped a cluster that the application teams actually want to deploy to. ArgoCD, mesh, and a Backstage portal in one engagement."
Mar 2025
Feedback SummaryOrangemantra Kubernetes engineers stood up a multi-tenant EKS estate with ArgoCD, Istio, Karpenter, and a Backstage developer portal. Per-tenant cost reporting and SLO dashboards delivered.
"The team retired a sprawl of Azure VMs onto AKS without an outage. Cost dropped, and our deploy frequency doubled in two months."
Sep 2025
Feedback SummaryA three-engineer pod migrated a sprawl of Azure VMs to AKS with FluxCD, Linkerd, and Azure Monitor. Cost reporting and per-namespace budgets shipped at the cut-over.
"Per-stream cost reporting and GPU autoscaling were live in the same engagement. Finance can finally read our cloud bill."
May 2025
Feedback SummaryOrangemantra built a GKE platform for live and on-demand video, with GPU node pools, KEDA-driven autoscaling, and per-stream cost dashboards.
"Audit findings closed inside the same engagement. Our auditors are now the easiest meeting on the calendar."
Jul 2025
Feedback SummaryEngineers rolled OPA Gatekeeper, Trivy image scanning, and Falco runtime detection onto an existing EKS estate, with audit-ready logs and policy-as-code reviews.
Independent recognition from industry bodies and analyst platforms. Listed only where verifiable.
CIO Choice
Top IT Service
WARC Award
Globus
NASSCOM
ISO CertifiedA Kubernetes engineer designs, deploys, and operates production clusters. The role covers cluster topology, Helm and Kustomize packaging, GitOps pipelines, service mesh, autoscaling, network policies, RBAC, observability, and cost guardrails so application teams ship without operating the control plane.
Rates vary by region, certification level, and engagement model. A focused cluster build or migration sits in the lower tens of thousands of dollars, while a full platform engineering programme bills by sprint. Orangemantra shares a fitted estimate after a scoping call.
Use managed (EKS, AKS, GKE) when your team is small and time-to-value matters. Self-host on bare metal or on-prem when data residency, custom hardware, or sustained cost behaviour at scale drives the decision. Orangemantra engineers scope both paths against your workload shape.
Most engagements move from first call to billable work inside five to ten business days. Profiles arrive within 48 hours of the brief, interviews run on your schedule, and onboarding happens inside your cloud account and identity provider.
Yes. Orangemantra Kubernetes engineers carry CKA, CKAD, and CKS certifications where the engagement requires it. The bench also covers Linux Foundation curricula and major cloud certifications across AWS, Azure, and GCP.
Orangemantra Kubernetes engineers work across EKS, AKS, GKE, OpenShift, and bare-metal clusters; Helm and Kustomize for packaging; ArgoCD and FluxCD for GitOps; Istio, Linkerd, and Cilium for service mesh; Prometheus, Grafana, Loki, and OpenTelemetry for observability; Trivy, Falco, and OPA Gatekeeper for security.