Replace your generalist bootcamp with a specialist pipeline.
A continuous, stack-aligned intake of cloud-native engineers. Built for consultancies and engineering-heavy teams who need depth in one discipline, not breadth across many.
From discovery to deployment in five stages.
- 01
Discovery
We map your stack, ways of working and the shape of the first engagement each engineer will land on.
- 02
Cohort design
Cohort size, intake cadence, discipline split and clearance requirements agreed up front.
- 03
Curriculum alignment
Course modules reshaped against your reference architecture, CI/CD, observability stack and on-call model.
- 04
Delivery
12 to 24 weeks of taught modules, production-grade projects and weekly review with your principal engineers.
- 05
Placement and renewal
Engineers deploy onto your engagements. We rerun the next cohort on the agreed cadence.
Built around your stack and your engagements.
No standard cohort. Every pipeline is shaped to the place engineers will land.
Stack alignment
Azure-heavy for Microsoft partners, AWS-heavy for FS, multi-cloud for consultancies. We pick the modules that match your defaults.
Ways-of-working alignment
Your trunk-based or GitFlow model, your test pyramid, your incident process. Engineers arrive already operating that way.
Domain projects
Cohort projects model the systems engineers will inherit on their first engagement. Compliance constraints baked in.
SC-eligible by default
Right-to-work and residency screening done up front, plus a clean background history checked against the standard SC pre-screen. Sponsorship-ready cohorts for regulated work.
Cohort shapes and commercial terms.
- Typical cohort 8 to 20 engineers, single discipline per cohort
- Programme length 12 to 24 weeks depending on starting bar and stack depth
- Pricing per engineer from £9,500 or programme-level for committed multi-cohort partners
- Quarterly intake cadence as standard or aligned to your hiring plan
- Apprenticeship levy compatible on request
What every engineer can do at deployment.
- Ship a Terraform module against a real shared landing zone, with a PR review by a senior engineer
- Stand up an EKS or AKS cluster with ingress, autoscaling, observability and SLOs from scratch
- Wire a GitHub Actions or GitLab CI pipeline with OIDC, image signing and policy checks
- Build an internal developer portal slice on Backstage or equivalent
- Run an incident dry-run end to end against an observability stack they have configured
- Pair on production-grade Python or Go for platform tooling
Six tracks taught at the depth a real engagement needs.
The generalist tech-bootcamp model optimises for headcount throughput across roles that have very little technical overlap. Engineering-heavy buyers tend to want a different shape of pipeline, which is what this table makes concrete.
| Dimension | Generalist bootcamp | CoderCo |
|---|---|---|
| Curriculum breadth | Broad coverage across QA, BAs, dev and ops disciplines | Six specialist cloud-native tracks, with every cohort dedicated to one |
| Instructor profile | Career trainers and recent graduates of the same programme | Lead and Principal engineers currently shipping in production |
| Project work | Toy projects and certification labs | Full production-grade systems with real failure modes |
| Time to productivity | Weeks to months of on-the-job training before billable | Engineers ship in the chosen stack from week one of deployment |
| Cohort specialism | Mixed cohorts streamed across roles | A single discipline per cohort, with the curriculum tuned to one stack |
| Post-placement support | Limited or transactional | Continued access to 900+ engineer community |
Generalist column reflects the publicly visible model of the dominant UK provider category. CoderCo specifies competitor names privately on request only.
Tell us about the bootcamp you are replacing.
A short conversation about your current intake, target stack and the shape of your first engagement is enough to scope a pipeline.