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
Shakers panel with four available profiles
Looking for a Platform Engineer
Allianz
BBVA
Bankinter
Microsoft
Qida
Accenture
Deloitte
Dcycle
HP
Línea Directa
Podo
Clicars
Sonosuite
Eroski
Civitatis
Alten
Vivla
Wayra
Cabify
Affinity
+600

European clients across different industries

Top 4%

We work with the top 4% of certified talent in our community

72 hours

Meet 3 certified candidates in under 72 h

4.7/5

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

Tell us your project
Certified Shakers profile: Mateo, Full Stack Developer
Ready to build
Mateo
Full Stack Developer
ReactNode.jsPythonTypeScriptNext.jsMongoDBAWSAIAPIs
Certified Shakers profile: Ana, DevOps Engineer
Ready to build
Ana
DevOps Engineer
DockerCI/CDAWSAzureKubernetesTerraformAmazon Bedrock
Certified Shakers profile: Lucas, Backend Developer
Ready to build
Lucas
Backend Developer
Node.jsPythonJavaGoPHPMySQLMongoDBDocker
Certified Shakers profile: Emma, Security Engineer
Ready to build
Emma
Security Engineer
Burp SuiteOWASP ZAPMetasploitNmapNessusTrivySnyk
Specialist sitting on a sofa with a tablet and a Ready_to_build label

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.

KubernetesTerraformCI/CDDockerAWSAzureGCPGitHub ActionsPythonGoBackstageAnsibleLinuxPrometheus

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.

Frequently asked questions

Any other questions? Our team will answer them.

Tell us your project
What does a Platform Engineer deliver in the first weeks?
An inventory of what is a ticket today, the first paved path over the most deployed service and the self-service template that makes it repeatable.
My team already has DevOps: why do I need a platform?
DevOps automates the pipeline of one application; the platform industrialises the path of all of them. If every new service opens tickets, the next step is a platform.
What stack does a Platform Engineer in Spain master?
The one real job ads ask for: Kubernetes, Terraform, CI/CD and Docker almost always; AWS, Azure or GCP depending on the house, and Python or Go to automate. Backstage, when there is a portal.
Can the internal platform be used to deploy AI?
Yes, and it is growing: 2026 job ads already ask for platform for AI/ML infrastructure, with models and agents as another workload with its own paved path.
How much does it cost to work with a Platform Engineer?
Scope sets it: which golden paths get paved, whether there is a portal and how many teams go self-service. At Shakers the budget closes per project before kickoff.
Do you need a full platform team to get started?
No. A senior profile by project delivers the first paved path and basic self-service; the internal team justifies itself once adoption asks for it.
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.

View profile →

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.

View profile →

Cloud Architect

Designs the cloud your platform rests on: their account, network and cost decisions are the ground your self-service stands on.

View profile →

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.

View profile →

The AI talent you need Certified by Shakers

We introduce you to three ready_to_build AI Builders in 72 hours.