Shakers for companies
Work with a senior Platform Engineer
A certified Platform Engineer who turns ops tickets into self-service: an internal developer platform (IDP) with golden paths, environments the team requests itself and less cognitive load for whoever writes code.
Senior tech talent for your team's platform, starting within days and on the stack that already runs in production.
- Certified talent in AI and agent skills
- Meet up to 3 AI Builders in 72 h
- Flexible collaboration models




















European clients across different industries
We work with the top 4% of certified talent in our community
Meet 3 certified candidates in under 72 h
Our clients' satisfaction on Trustpilot
The talent mix your company needs
At Shakers you will find AI Engineers, Platform Engineer and specialists across Tech, Product and Data
Platform Engineer: what this role brings to your project
A Platform Engineer builds and sustains the internal developer platform (IDP): the self-service layer over Kubernetes, Terraform and the cloud with which teams request environments and deploy without opening tickets. Their product is the paved roads (golden paths) that reduce the cognitive load of whoever develops.
They treat the platform as an internal product, with the developer as the customer: where DevOps automates a pipeline, the Platform Engineer industrialises the path of every team.
One provider. One contract. Full traceability
How Shakers works for your company
Post your project
Tell us about the project, its scope, the expertise you need and when you want to get to work.
You get three options
We match your brief against certified talent and introduce the three AI Builders who fit best.
The last word is yours
Meet the three specialists and choose who you collaborate with; we handle the rest.
Why work with Shakers
The advantages of adding this profile with Shakers
Self-service that kills the ticket
The team requests environments and deployments and gets them in minutes with guardrails: the ticket stops being the bottleneck.
Golden paths, not wikis
The recommended path is paved: a new service arrives with CI/CD and observability built in, not in a wiki nobody reads.
Less cognitive load for the team
Developers stop mastering Kubernetes and Terraform just to deploy: the platform hides the complexity and exposes just enough.
A platform prepared for AI
AI and agent pipelines consume the platform like any other service: environments, model deployment and traces from day one.
Platform as a product, with a roadmap
Adoption is measured and prioritised by team: every improvement leaves a more autonomous internal customer. Product, not project.
Capacity without growing headcount
A Platform Engineer by project, no hiring process: certified talent that joins on top of your Kubernetes and your pipelines.
What does a Platform Engineer deliver in the first weeks?
My team already has DevOps: why do I need a platform?
What stack does a Platform Engineer in Spain master?
Can the internal platform be used to deploy AI?
How much does it cost to work with a Platform Engineer?
Do you need a full platform team to get started?
What gets delivered in the first weeks
The map of today's tickets, the first paved path over the most deployed service and the adoption dashboard.
A craft the market asks for by name
1,040 active tech job ads in Spain mention platform engineer (646 platform engineering, 75 internal developer platform), according to Shakers market analysis (n=31,020, September 2026). 2026 signal: a global pharmaceutical company hires a Staff Platform Engineer, AI/ML Infrastructure in Madrid and Barcelona, with openai in its skills.
Where the Platform Engineer ends
They do not write your application nor run production: they build the path of those who do. If the live system falls over, it is the SRE's; if it is a pipeline, DevOps.
A team by project, not a vacancy
The brief arrives with the symptom: weeks waiting for an environment and deployments hinging on one person. Scope closes before kickoff.
Connect with AI specialists to build your next project
Find specialists in Tech, Product, Data to complement your team
DevOps Engineer
Their pipeline is the first paved path of your platform: when the problem is deploying one specific application, the brief starts there.
Site Reliability Engineer
Keeps in production what your platform delivers: if what falls over is the live system and not the path to create it, the brief is theirs.
Cloud Architect
Designs the cloud your platform rests on: their account, network and cost decisions are the ground your self-service stands on.
AWS DevOps Engineer
The Amazon cut of the craft: when the environment is pure AWS, their pipeline and your platform share account, guardrails and roadmap.
The AI talent you need Certified by Shakers
We introduce you to three ready_to_build AI Builders in 72 hours.