CloudForge
[ VERIFICATION BEFORE INTRODUCTION ]

From the engineering talent pool, we
find and hire the top 1.79%.

You are not buying interviews. You are buying delivery behavior under pressure.

It seems risky to trust polished profiles. We run a four-stage filter from communication to character to live delivery proof, so you meet engineers who already passed the checks that usually fail in month one.

COMMUNICATION & ENGLISHTECHNICAL ASSESSMENTTEAMWORK & OWNERSHIPREADINESSHIRED100%1.79%
[ FOUR-STAGE VERIFICATION PIPELINE ]

Extreme recruitment
standards.

Most teams fail from weak signals, not weak resumes. Each stage below removes one delivery risk before anyone reaches your interview loop.

Communication under pressure, verified credentials, ownership behavior, and production readiness are validated in sequence.

HIRE A VETTED TEAM
HIRED1.79%
[ TEAM AUGMENTATION SUCCESS ]

Embedded engineers that actually integrate.

Augmentation fails when integration is vague. We define ownership, communication rhythm, and escalation paths before day one, so your internal team gains capacity instead of coordination drag.

Average 37% cloud cost reduction identified within the first engagement month

Engineers trained in modernization roadmaps — from legacy VMs to Kubernetes in predictable phases

Knowledge transfer built into every engagement — your team gets stronger, not dependent

Global enterprise experience: 500+ developer orgs, 4 continents, unified CI/CD in 6 months

[ ENGINEERING DISCIPLINES ]

Five disciplines. One standard.

Breadth helps in discovery; depth protects production. Every engineer is anchored to a core discipline with explicit standards, then evaluated for cross-functional execution in real delivery contexts.

47%

Cloud & Platform

Azure, AWS, GCP architects and engineers. They design cloud landing zones, execute multi-region migrations, and optimise infrastructure spend across hybrid and multi-cloud environments. Over 200 cloud migrations completed with zero production incidents.

23%

DevOps & SRE

CI/CD pipeline engineers, SRE leads, GitOps specialists. They build the deployment pipelines, observability stacks, and incident response systems that keep production environments running at 99.9% uptime across client organisations.

12%

Security Engineering

DevSecOps engineers, penetration testers, compliance automation specialists. They implement zero-trust architectures, integrate SAST/DAST scanning into every pipeline stage, and harden container security. Fifteen security assessments completed with zero post-engagement breaches.

10%

AI/ML Infrastructure

ML pipeline engineers, GPU cluster managers, MLOps platform builders. They deploy production machine learning systems with end-to-end monitoring, model versioning, and automated retraining pipelines on AKS GPU node pools.

8%

Enterprise Architecture

TOGAF-certified architects and cloud strategy advisors. They design target-state platforms for organisations undergoing digital transformation, build technology radars, and develop multi-year transformation roadmaps.

[ CERTIFICATION STANDARDS ]

68+ active certifications. Every one verified.

A certificate should mean something measurable. Our baseline is third-party proctored exams with public verification records, completed under controlled conditions with no buddy support and no AI exam assistance. That matters because delivery quality depends on what people can do under constraint, not what they can claim in a profile.

Kubernetes Operations (CKA / CKS)

It looks like uptime risk rises when platform skills are only theoretical. These proctored, performance-based certs signal real cluster operations capability under live constraints.

Kubernetes Delivery (CKAD / KCNA)

It seems teams ship faster when fundamentals and app-level Kubernetes practice are both strong. This track supports cleaner handoffs from build to runtime.

Azure Platform Lifecycle (AZ-305 / AZ-104 / AZ-400)

It sounds like cloud programs drift without architecture and operations discipline. This path validates design, administration, and delivery practices across the Azure lifecycle.

Applied AI Solutions (AI-102)

It looks like AI pilots fail when delivery lacks production method. This certification emphasizes building, integrating, and operating Azure AI services with practical implementation focus.

22 Cloud Platform|12 Kubernetes & Platform|14 Security|8 AI/ML|12 Architecture
[ ENGAGEMENT MODELS ]

Three ways to work with us.

One engagement model does not fit every risk profile. We match model to your decision velocity, governance needs, and delivery horizon, then define success criteria before work starts.

Embedded Teams

70%

One to four engineers embedded in your team. Daily standups, shared Slack or Teams channels, sprint alignment with your engineering cadences. Five-day deploy readiness from contract signature. Engineers operate as full members of your team.

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Project Delivery

20%

Fixed-scope, fixed-timeline delivery. Cloud audits, infrastructure modernization, CI/CD pipeline implementations. Deliverables include architecture decision records, runbooks, and knowledge transfer sessions. The audit pays for itself.

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Advisory & Training

10%

Architecture reviews, technology evaluations, and structured team training. Forty-hour curriculum modules covering Kubernetes, Azure engineering, DevSecOps, and FinOps. Delivered on-site or remotely with hands-on labs.

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[ SPEED x QUALITY x COST ]

Buyers usually pick two. We build for all three.

Growing companies often feel forced to choose between cost optimization and engineering quality. Our cloud audits have averaged 37% infrastructure cost reduction while identifying architecture upgrades. Built correctly, not just trimmed cheaply.

For midmarket teams, the practical tradeoff is better + cheaper while preserving delivery pace, so reliability and cost discipline improve together.

[ VALUES-BASED RECRUITMENT ]

Technical skill gets you to Stage 2. Character gets you to Stage 4.

Degrees and certifications indicate capability; character determines reliability. We explicitly screen for structured thinking, ability to follow direction, moral spine, calm incident behavior, and timely dissent before risk compounds. Certification proves knowledge. Delivery history proves competence. Neither proves character.

Teamwork+
Ownership+
AWS
AZURE
GCP

If you want less hiring theater and more operational certainty, start with a scoped conversation: what risk you need removed first, what evidence you require, and what outcome defines a good decision.

PLAY VIDEO [2:29 MIN]

Every month you delay costs
more than our first invoice.

GET YOUR FREE CLOUD AUDIT

"They found $14K per month in waste in the first week. The audit paid for itself before the invoice arrived."

Sarah Mitchell
Sarah Mitchell
IT DIRECTOR AT E-COMMERCE PLATFORM (450 EMPLOYEES)