A cloud engineer on your team, even for a few hours a week

No. Our engineers work in your repository, your backlog and your code review process, with the tools your team already uses.

With a 30-minute call about the role and the work. We propose people who fit, you meet them before they join, and the terms are agreed before work starts.

We confirm availability after reviewing the work and introducing the proposed specialist. The start date also depends on access to your repositories and cloud environment. You meet the person before the assignment begins, whether it's full-time or a few hours a week.

We quote for the skills and hours required, full-time or a fixed weekly slot, and agree the terms before work starts. Time is tracked per task and visible to you. Your cloud resources and services remain separate operating costs, and keeping those down is part of the job.

For keeping a working setup in shape, often yes. Most of the value is in regular, unglamorous work: checking the bill, right-sizing, applying patches, tuning alerts, testing a restore, catching drift between the code and what's running. Done weekly, small problems stay small. A migration or a large rebuild needs more hours for that phase, and we'll say so when we see the backlog.

Least-privilege access for people and services, secrets in a secrets manager, regular patching, vulnerability and dependency scanning in CI, audit logs, and backups with restore tests. Attackers now use AI models to find exposed keys and unpatched services faster, so the checks run on every change. Incident response and on-call coverage are separate: the engineer takes them on only under an explicit agreement about duties and availability.

Your agreed change process applies. We set permissions and repository conventions during onboarding so your team retains control over the environments it operates.

Not by default. The engineer starts from the setup you already have on AWS, Azure or GCP, and moves it toward parts that run anywhere: infrastructure in Terraform, OpenTofu or Pulumi, containers, Kubernetes, PostgreSQL and OpenTelemetry. Where a provider-specific service is clearly worth it, we keep it and write down what replacing it would take.

The infrastructure changes, monitoring configuration and runbooks stay in your systems. Handover covers the work in progress and the people responsible for operating it afterward.

Use the cloud infrastructure service when you need an agreed environment or pipeline result delivered. Embedded engineers fit when you already direct the backlog and need specialist skills inside that structure.

Often by a lot, because the cost usually sits in oversized resources, idle environments and repeated work. We don't promise a number before looking at your usage. One example from our work: in a consumer app with 30,000 users, most of the Supabase bill was image transformations repeated for every user, and the fix cut it by about three quarters. Our case studies also list the infrastructure behind each product: Azure and Kubernetes for the construction platform, Kubernetes and Docker for Signal Mesh, AWS for the campaign-finance platform.

The team works remotely from Poland. We agree overlap hours and availability with your leads before the assignment begins.