Certified engineers who join your team.
Our engineers work in your tools, your stand-ups and your sprints, and report to your leads. You direct the work; we look after the people.
Add certified cloud, DevOps, security, data and AI engineers to your team when you need them: for a sprint, a project, or as long as the work demands. They work in your tools and your sprints, and you can scale up or down as plans change.
An example, drawn by us. Your talent call shows who fits your project.
The reality
Most teams don’t need more people forever. They need the right people now. Open a card to see how we help.
Months to find, interview and onboard someone, while the project waits.
We share profiles that match your brief, you interview them, and they join once you’re happy.
Kubernetes, security, data or GenAI work that nobody on the team has done before.
We add a specialist for that work, who leaves your team better at it than before.
A launch, a migration or an audit doubles the work for a few months.
Add people for the peak and scale back afterwards, with no fixed headcount left over.
Senior engineers are pulled into tickets instead of the work only they can do.
Our engineers take on the planned work, so your seniors can lead.
The need is real, but it isn’t a full-time role for the next five years.
Engage for a sprint, a project or a year, and stop when the work is done.
The old vendor is leaving, and with them the knowledge of how things work.
We plan the handover, document as we go, and keep delivery running.
Why teams use it
Resource augmentation gives you engineers without the hiring cycle, the long notice periods or the fixed headcount.
Our engineers work in your tools, your stand-ups and your sprints, and report to your leads. You direct the work; we look after the people.
Pay for the skills you use, without recruitment fees or a permanent salary.
Scale the team up or down as the project changes.
Engineers certified on AWS, Microsoft Azure and Google Cloud.
People who’ve done this work before, so less time is spent learning the basics.
Runbooks and documentation are written as the work happens, so nothing leaves with the engineer.
A talent call scopes the roles, headcount and skills, and shows you who fits before you commit.
How it works
The same steps for one specialist or a full pod. How fast people start depends on the roles and how many you need.
We start with the work, not a job title: what needs doing, by when, and with which tools.
An hour with whoever owns the work.
Nothing is committed until you’ve met the people.
We match engineers to the brief and you interview them, just as you would a hire.
Interview and pick.
If nobody fits, you don’t pay and we keep looking.
New team members learn your product, your goals and the way your team works.
Give access and a point of contact.
Access is named and logged, and you can remove it at any time.
Our engineers deliver as part of your team, with your leads directing the work.
Direct the work as you would your own team.
If someone isn’t the right fit, we replace them.
We keep developing each engineer around your project, and adjust the team as plans change.
Tell us what’s coming next.
Everything is documented, so your team can carry on without us.
Roles we provide
From one specialist to a full pod with a lead. Every role is available on AWS, Microsoft Azure and Google Cloud.
Architects and engineers who design and run your cloud.
Engineers who automate delivery and keep it secure.
Engineers who build data platforms and AI on your data.
Specialists who keep the cloud lean and well run.
Engineers are certified across AWS, Microsoft Azure and Google Cloud. Need a role that isn’t listed? Ask us.
Engagement models
Transitioning from a vendor, building a team from scratch or adding capacity to an existing project: we fit the way you already work.
A planned handover from your current vendor, with delivery kept running.
A new team for a new initiative, without a long hiring cycle before the start date.
Extra engineers in an existing team, for faster delivery or a specific skill.
A ready-formed, cross-functional pod with a lead. You hand over an outcome, not a list of tickets.
Proof
The engineers we place are the same people who migrate, run and optimise our clients’ clouds every day.
One DevOps engineer, stretched→Three, for the rollout
Vendor leaving in 60 days→A planned handover
An idea, no AI team→A pod with a lead
Stories marked “Sample” show the format only. We’ll replace them with real clients once they approve them.

AWS Advanced Tier Services PartnerAlso: AWS Partner with SMB Competency

Microsoft Solutions Partner for Cloud and AI PlatformsAlso: Infrastructure (Azure)

Google Cloud Partner
Why DevOps TechLab
We place the same engineers who deliver our cloud, DevOps and AI projects.
Where this fits
Many teams start with a few engineers, then hand over parts of the work as a service.
Add certified engineers to your team for a sprint or a year.
This page
FAQ
Straight answers on timing, people, contracts and how we work with your team. If yours isn’t here, ask us.
You add our engineers to your team for as long as you need them. They work in your tools and sprints, your leads direct the work, and we look after the people.
It depends on the role and how many people you need. On the talent call we’ll give you a realistic start date before you commit.
Yes. Many teams start with one specialist and add more, or a full pod, once they’ve seen how it works.
Yes. We share profiles that match your brief, you interview them, and you choose who joins.
Our team holds certifications across AWS, Microsoft Azure and Google Cloud. We match the certifications and experience to the work you need done.
Tell us and we’ll replace them, with a handover so the work keeps moving.
It depends on the roles, seniority, headcount and length of the engagement. You get a written quote before anything starts.
Terms are agreed with you up front, from a short project to a year or more. Talk to us about what you need.
Yes. Add people for a peak and release them afterwards, with notice agreed in your contract.
Your leads direct the work. A named lead at DevOps TechLab looks after the engineers, checks in on progress and fit, and handles anything that comes up.
You do. Work is done in your repositories and tools, and documentation is written for your team to keep.
Yes. Some teams move parts of the work, such as day-to-day cloud operations, into our managed services once it’s stable.
Talent call
Book a talent call. We’ll scope the roles, headcount and skills your project needs, and show you who fits before you commit to anything.