Contract Availability
Available for projects Outside of IR35 ranging from development to C-Level.
Read moreProduct Engineering
.NET & Python Build
Two mature ecosystems cover most of what businesses actually need to build. .NET for transactional systems where correctness and long-term maintainability matter most; Python where data, automation, and machine learning lead. Both delivered cloud-native, tested, and observable from the first release.
When this helps
You are probably reading this because of one of these.
- A core system needs building and your team lacks the capacity or the depth
- Existing code has no tests, no pipeline, and no way to see what it is doing in production
- You need a delivery partner who will still be understandable after they leave
- Cloud spend is climbing because nothing was designed for it
How we help
A delivery sequence, not a discovery phase that never ends.
Every stage produces something you can act on independently, so the engagement can stop at any point without leaving you stranded mid-programme.
Architect
Design for the load, compliance, and team you actually have, then write down why - decision records, not folklore.
Build
Increments behind automated tests, with each one deployed to a real environment rather than a developer machine.
Operate
Metrics, logs, traces, and alerts from day one, so production problems are diagnosed rather than guessed at.
Transfer
Pairing, documentation, and runbooks so your engineers own the system confidently after handover.
Efficiencies driven
The measurable change this engagement is aiming at.
Where teams usually start
- Manual deployments nobody wants to run on a Friday
- Production issues diagnosed by guesswork
- Infrastructure configured by hand and undocumented
Where the engagement leaves you
- Repeatable, reversible deployments on demand
- Traces and metrics that point at the actual cause
- Every environment reproducible from code
IaC
Every environment reproducible
CI/CD
Deployments on demand, reversible
Day one
Observability, not retrofitted
What you receive
Artefacts that outlive the engagement.
- Production services in .NET or Python on AWS or Azure
- Infrastructure as code covering every environment
- Automated test suites at unit, integration, and end-to-end level
- CI/CD pipelines with repeatable, reversible deployments
- Observability stack plus runbooks for the failure modes that matter
Next step
Discuss a build.
A short call is usually enough to work out whether this is the right engagement, and what it would cost. If it is not, I will say so.
Engagement
Product Engineering
Cloud-native by default