The engineer your project needs is in our network.
Tell us what you're building. We match you to a certified, vetted cloud or AI engineer who's delivered your kind of project before.

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Hire across the full stack of modern cloud and AI work.
Two paths into the network. Pick the one that matches what you're building, or submit your project and we'll route you.
Architecture, migration, modernization, optimization across AWS, Azure, and GCP. Plus DevOps and platform work.
- Architecture, migration, modernization
- optimization across AWS, Azure, and GCP
- DevOps and platform work
GenAI builds, agentic systems, ML, AI infrastructure, and full-stack AI product engineering.
- GenAI builds, agentic systems
- ML, AI infrastructure
- Full-stack AI product engineering
Cloud engineers
Engineers who build, migrate, modernize, and operate cloud infrastructure at scale.
Architecture, migration, cost optimization, serverless. Shipped by people with the paper to prove it.
Architecture, migration, cost optimization, serverless. Shipped by people with the paper to prove it.
Architecture, migration, cost optimization, serverless. Shipped by people with the paper to prove it.
Architecture, migration, cost optimization, serverless. Shipped by people with the paper to prove it.
AI engineers
Engineers who build, deploy, and operate AI systems in production - from RAG apps to agent platforms.
RAG systems, LLM apps, fine-tuning, evaluation harnesses, production deployment. Shipping real GenAI, not demos.
Multi-step agents, tool-use orchestration, agent evaluation, production agent infrastructure.
Recommendation systems, ranking models, MLOps, training pipelines, classical ML in production.
GPU clusters, model serving, inference optimization, vector databases, AI platform architecture.
Full-stack engineers shipping AI features into production apps. Frontend, backend, AI integration end-to-end.
Seamlessly connecting infrastructure design with software delivery cycles through automation and CI/CD.
How it works
Two paths into the network. Pick the one that matches what you're building, or submit your project and we'll route you.
We evaluate your current infrastructure, workloads, and configurations.
We fix misconfigurations, remove unused resources, and right-size your infrastructure.
We implement real-time monitoring, automated responses.
The quiet advantage in your quote
Many cloud and AI projects delivered through our network qualify for partial funding offsets through cloud provider programmes. Our partners carry the programme access; customers see it as a lower landed cost.
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Frequently asked questions
01.
Any real cloud or AI project with a clear deliverable. Migrations, modernization, new builds, GenAI integrations, agent deployments, ML pipelines, DevOps setup, cost optimization, landing zones, AI product engineering. If you can brief it, we can probably match it.
02.
Yes. Many of our strongest engineers work across both β building AI systems on cloud infrastructure they also architect. If your project sits at the intersection (e.g., deploying an agent platform on a fresh AWS account), tell us in the brief and we'll match accordingly.
03.
Payouts depend on the specific AWS program. Some programs release incentives after validation and billing milestones, while others may split payouts across defined stages. All payouts are processed after eligibility and compliance checks are completed.
04.
Minimal. You submit the opportunity and required project details. CloudOps Network handles validation, program mapping, and workflow coordination. You continue managing the AWS engagement as usual.
05.
Eligibility refers to whether a customer account and workload meet specific AWS program criteria, such as billing thresholds, account age, region, migration source, or growth performance. Each program has defined qualification requirements.
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