Ryz DevOps services give you senior DevOps and platform engineers who build and run your delivery pipeline and infrastructure: CI/CD, Kubernetes, Terraform, observability, security in the pipeline and incident response. They come from the top 1% of the engineers we interview, work in your cloud accounts and repos, and keep US business hours so they can join your deploys, incidents and postmortems live. Teams typically bring us in when releases are slow or risky, environments drift, or alert noise and cloud spend keep climbing.
Talk. We look at how code gets to production today, how often you deploy, how long recovery takes, what pages people at night, and where the cloud bill is going.
Match. We propose engineers with deep experience in your cloud (AWS, Azure or Google Cloud), your orchestration and your CI system. A team running ECS and CloudFormation needs a different profile from one on AKS and Bicep.
Join. Engineers get scoped access to your cloud accounts, repos and incident channels, join your standups and take part in your change and on-call processes during US business hours.
Grow. Add site reliability engineers, security engineers or more platform engineers as scope grows, or hand a documented platform to your internal team.
In week 1, engineers typically map the current pipeline and infrastructure, read recent incident reports and pick the first fix that will remove the most release pain. By month 1, the first pipeline improvements are live and the most-changed infrastructure is in Terraform. By month 3, the usual picture is deploys that are routine, environments reproducible from code, SLO-based alerts and dashboards the team actually uses.
DevOps problems tend to look alike across companies: deploys that need a hero, staging that does not match production, alert fatigue, and changes nobody can trace. A senior DevOps engineer fixes the system, not just the symptom:
Typical Ryz cost is $7,000 to $15,000 per engineer per month. Mid-level engineers are $7,000 to $10,000, senior engineers are $10,000 to $15,000, and leads are $15,000 or more, quoted per team.
Every quote is scoped per team. You get a plan, a price and the names of the people before you start. See DevOps engineer rates for detail by seniority.
Staff augmentation fits when you have a platform or infrastructure lead and need senior hands on your team. Engineers join your on-call rotation during business hours and report to your leads. See our hire DevOps engineers and hire site reliability engineers pages.
A dedicated development team fits a defined outcome, such as moving to Kubernetes, building a developer platform or getting all infrastructure into Terraform, with a team that owns the work and hands it over. For AI workloads, the same practices apply to model serving and pipelines; see our MLOps services.
If you need 24/7 follow-the-sun operations staffed from Europe and Asia, a global network or a managed services provider fits better; our engineers keep US business hours. If you want a fully managed hosting product rather than engineers, talk to a platform vendor. If you need an hourly freelancer to fix one pipeline, a freelance marketplace is faster.
CI/CD pipelines, infrastructure as code, container platforms, observability, pipeline security, incident response and cost controls. The mix depends on where your delivery and operations hurt most today.
Typical cost is $7,000 to $15,000 per engineer per month. One senior DevOps engineer is $10,000 to $15,000 per month, and a lead plus three seniors starts at $45,000 per month. Total cost is team size × duration × monthly rate.
After the scoping call we propose engineers with names. Most of the timeline depends on scope and on your onboarding, especially scoped access to cloud accounts, CI and incident tooling.
Yes, during US business hours, and they join incidents live. Most of our DevOps and SRE engineers are based in Latin America, which is why their working day matches your daytime on-call shifts. After-hours coverage is agreed during scoping so expectations are clear on both sides.
Not always. Many workloads run well on ECS, Azure Container Apps, Cloud Run or plain managed services with less operating overhead. We recommend Kubernetes when you have many services, need its scheduling and extensibility, and have people to run it.
Questions we didn't answer? Email info@ryzlabs.com.
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