Build and test stages
Parallelised jobs with dependency and layer caching, so a ten-minute build stays a ten-minute build as the test suite grows.
Delivery Automation
CI/CD Pipeline Engineering
Every commit builds, tests and ships itself, with a rollback you can trust.
The work
What this actually does
A pipeline is only useful if engineers trust it. We build CI/CD that runs on every push, fails loudly when something is genuinely wrong, and takes minutes rather than the better part of an afternoon to say so. Build and test stages are parallelised and cached so the feedback loop stays short as the codebase grows.
We work inside your existing CI provider rather than moving you to ours, and we treat the pipeline as production code: reviewed in pull requests, versioned, and covered by its own tests. Where a tool is genuinely the bottleneck we will say so plainly, but most teams get further by fixing the pipeline they already have than by replacing it.
If any of these sound familiar
- A release needs a release manager and a freeze window
- The build has been red for weeks, so nobody reads it
- Nobody can say which commit is actually running in production
- Rolling back means re-running the deploy and hoping
Scope
What's included
Every engagement on this page covers the following, sized to your setup rather than delivered as a fixed package. If something here is not relevant to you, it comes off the scope and off the price.
Merge-blocking quality gates
Coverage thresholds, lint and security scans that stop a bad change at the pull request rather than in production.
Artifact promotion
Build once, then promote the same immutable artifact through staging and production. No rebuilds, so no build-to-build drift.
Secrets and environments
Credentials scoped per environment and injected at deploy time, never baked into an image or printed into a log line.
Tested rollback paths
Every deploy gets a documented reversal that has actually been exercised, so the answer at 2am is a command and not a discussion.
Pipeline metrics
Duration, failure rate and lead time tracked over time, so you can tell whether the pipeline is getting better or quietly decaying.
What changes
What teams typically see
8 minMedian commit-to-feedback
1 clickStandard rollback
0Manual deploy steps
Handover
What you keep
Everything produced during the engagement is yours: the repositories, the accounts, the documentation. There is no proprietary layer and nothing to unlicense if you take the work in-house.
- Reviewed pipeline configuration committed to your repositories
- Reusable workflow templates for new services
- Environment and secrets configuration guide for every stage
- Tested rollback and incident response runbook
- Baseline metrics for build duration and failure rate
Tooling
Tools we use here
A starting point, not a requirement. We work in whatever you already run wherever it does the job.
GitHub
GitLab
Jenkins
Docker
Kubernetes
Terraform
Snyk
How it runs
From first call to handover
The same four steps on every engagement. You see each one before it starts and can stop at any of them.
- 01
Map the current flow
We follow one commit from push to production and time every stage, so the bottleneck gets named rather than guessed at.
- 02
Design the target pipeline
A written plan covering stages, caching strategy, quality gates and rollback, with the trade-offs of each choice spelled out.
- 03
Build behind pull requests
Every change lands as a reviewable PR, so your engineers read and absorb the pipeline while it is being built.
- 04
Tune and hand over
We watch the first weeks of real traffic, tune the slow stages, then walk your team through the runbook and hand over.
Questions
Asked before we start
Do we have to move to a different CI provider?
No. We work in whatever you already run — GitHub Actions, GitLab CI, Jenkins or Azure Pipelines. Changing providers is a separate decision, and it is rarely the one that fixes a slow pipeline.
How long does this take?
One service is typically two to three weeks. A multi-repo rollout with shared templates runs six to ten weeks, delivered incrementally so useful changes land in the first fortnight.
Can you work with our monorepo?
Yes. Monorepos need path-based change detection and selective builds, otherwise every commit rebuilds everything and the pipeline collapses under its own weight. We set that up as part of the design.
What happens to the pipeline scripts we already have?
We keep what works. Most pipelines are largely sound with a layer of accumulated workarounds on top; we remove the workarounds and leave the rest alone wherever we can.
Delivery Automation
Often needed alongside this
Delivery Automation
GitOps & Release Management
Git becomes the single source of truth for what runs where — with progressive rollouts and instant rollback.
- ArgoCD and Flux continuous delivery
- Blue/green, canary and feature-flag releases
- Environment promotion with approval workflows
Delivery Automation
Automated Testing & Quality Gates
Tests that run on every pull request, block bad merges, and give engineers confidence to move quickly.
- Unit, integration and end-to-end test orchestration
- Coverage thresholds and merge-blocking gates
- Parallel test sharding to keep feedback under minutes
Delivery Automation
Release Management & Change Control
Predictable, traceable releases with the audit trail your compliance team keeps asking for.
- Versioning, changelogs and release notes automation
- Change approval workflows without the red tape
- Who-shipped-what audit history
Worth a conversation about CI/CD Pipeline Engineering?
Bring the specific problem. We will tell you honestly whether this is the service that fixes it, and what it would take.