We deliver specialist hiring and ready-to-run pods across Cloud (AWS/Azure/GCP), Data/AI, Cybersecurity, and Platform Engineering—SLA-backed and governance-first.
Two engagement modes
Use us for direct specialist hiring, or plug in a managed pod with governance and SLAs.
Each capability supports specialist hiring and managed pods. We can build, modernize, secure, and operate platforms with measurable outcomes.
Cloud engineering, migrations, modernization, security baselines, reliability, and cost governance (FinOps).
Data platforms, pipelines, governance, ML/GenAI enablement, MLOps, and production-grade monitoring.
Security engineering, IAM, vulnerability management, detection basics, GRC evidence, and audit readiness.
Internal developer platforms, golden paths, standardized CI/CD, security guardrails, and self-service environments—so teams ship safely at speed.
These are standard shapes. We tailor them by domain, stack, and operating constraints (change windows, compliance, regulated environments).
Pod
Landing zones, network baselines, IaC, identity guardrails, and cost governance.
Pod
Pipelines, warehouse/lakehouse, quality checks, governance, BI enablement.
Pod
Control implementation, evidence collection, vulnerability workflows, and audit readiness.
Pod
Detection coverage, triage workflows, playbooks, and measurable incident response improvements.
Pod
Golden paths, paved roads, CI/CD templates, SLOs, and self-service to reduce toil.
Pods ship outcomes through a simple operating rhythm. You get visibility without micromanaging.
Goals, constraints, environments, access.
Backlog, risks, acceptance criteria.
Build, test, harden, document.
Security/quality checks & approvals.
Runbooks, SLOs, hypercare/support.
Weekly visibility
Next step
Share cloud provider (AWS/Azure/GCP), data/AI scope, security goals, and timeline. We’ll recommend specialist hiring vs pods, pod size, cadence, and governance baseline.
