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Rated 5.0 by verified clients on Clutch for Magento, Shopify, and AI-driven digital transformation.
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Bring on a vetted CI/CD engineer, or a full dedicated team, hourly, part-time or full-time, to design build-and-release pipelines in GitHub Actions, GitLab CI and Jenkins, wire up automated test gates and artifact management, and set up blue-green and canary deploys with rollback automation so every release is fast and safe.
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Plenty of people can copy a starter workflow file into a repo. Our engineers understand where the real decisions live, which stages should run in parallel, where to cache to shave minutes off a build, when a deploy should be gated behind tests, and how a rollback actually fires when something goes wrong, so shipping stops being the scary part of the week.
Every engineer is assessed on real pipeline work, build optimisation, test gates, deploy strategies and rollback, not a generic coding puzzle.
Scale from a single engineer to a full delivery team as the release process grows, without renegotiating a new contract each time.
Most engagements start within a week, with an engineer who can read your existing pipelines and repositories and start improving them from day one.
Month-to-month engagement. Scale up, scale down or wrap up the work without a fixed-term contract working against you.
Pick the model that fits how much pipeline and release work you actually have, not a one-size-fits-all retainer.
For a single pipeline, a handful of workflow fixes, or work whose scope is still moving.
An engineer works exclusively on your delivery pipeline, part-time or full-time, for the length of the engagement.
A fixed-scope build with a defined deliverable, timeline and price.
| Model | Reliability | Communication | Best For |
|---|---|---|---|
| Freelance Marketplace | Variable, depends entirely on the individual | Often async, timezone dependent | Very small, one-off tasks |
| Traditional Agency | Consistent but slower to scale up or down | Layered through account managers | Large, fixed-scope projects |
| Dedicated Engineer (Us) | Vetted, consistent, direct accountability | Direct with the engineer and our team | Ongoing release and platform work |
We look at your current pipelines, how you build and deploy today, and the specific CI/CD skills you need.
We shortlist engineers whose real project history matches your stack and requirements.
A small paid trial task on your actual pipeline or repo, so you see real working automation before committing.
Repo access, CI credentials, staging and communication channels set up so the engineer can start contributing immediately.
Regular check-ins and progress updates, with the flexibility to scale the engagement up or down.
Most engagements begin within a week of the discovery call, sometimes sooner for urgent pipeline fixes.
Our CI/CD engineers use AI tooling as part of the day-to-day workflow, not as a gimmick. AI-assisted authoring drafts the repetitive parts, the first pass of a workflow file, a Dockerfile or a deploy script, so more time goes into pipeline strategy and getting the stages right. AI-assisted test setup helps sketch the test gates and quality checks that guard a release before it ships. And AI-assisted review flags the risky release steps during a pull request, from a missing rollback path to a secret about to be printed in a build log, rather than after something breaks in production.
From the pipeline tools themselves to the platforms and gates that keep every release fast, tested and safe in production.
You are not renting a resume. You get an engineer backed by a team that can cover the rest of the platform too, from the pipeline that ships your code to the servers it runs on.
Need more than one engineer? We cover the whole CI/CD pipelines range, so extra hands are already in-house.
Pipelines live next to the rest of the platform. Our DevOps services team can extend the infrastructure and monitoring whenever the release process grows.
When the work outgrows a single person, our dedicated development team can add the engineers and developers your roadmap needs.
To show how an engineer actually slots into a delivery pipeline, here are three example scenarios that reflect the kind of work these engagements cover.
The situation: a team builds and ships from a laptop, running the same commands by hand each release. Steps get skipped under pressure, environments drift, and only one or two people actually know how a deploy works, so releases stall whenever they are away.
How the engagement runs: a dedicated engineer builds a proper pipeline that runs on every push, compiling the app, running the tests, packaging an artifact and deploying to staging and then production behind an approval. The manual runbook becomes code in the repo, so any team member can ship the same way, and nothing depends on one person’s memory.
The situation: the pipeline already exists, but a run takes far too long and fails at random on tests that pass when rerun. Developers stop trusting a red build, start merging around it, and shipping slows to a crawl while everyone waits on the queue.
How the engagement runs: an engineer profiles where the time actually goes, then parallelises the independent stages, caches dependencies and build layers, and splits the test suite so it runs in shards. The flaky tests get isolated and fixed or quarantined, so a green build means something again and a run finishes in a fraction of the time.
The situation: a growing product deploys straight to everyone at once, with no gates and no clean way back. When a bad release slips out, the fix is a frantic manual rollback, and the team is nervous every time they ship anything important.
How the engagement runs: an engineer puts automated test and quality gates in front of production, then moves the deploy to a blue-green or canary rollout so a new version reaches a slice of traffic first. Health checks watch the rollout, an automated rollback fires if the metrics go the wrong way, and secrets move into a managed store instead of living in the pipeline config.
Tell us about your pipeline and timeline, and we’ll match you with an engineer within days, not weeks.
Share your pipeline, timeline and the CI/CD skills you need, and we’ll reply within one business day.
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Clutch Verified Profile
Rated 5.0 by verified clients on Clutch for Magento, Shopify, and AI-driven digital transformation.
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