Shakers for companies
Work with a senior AWS Engineer
A certified AWS Engineer who builds on the cloud you already live in: the architecture of services that scales, the serverless functions that save infrastructure and the base to run models with Bedrock when AI arrives.
Senior tech talent for your Amazon estate, starting within days and without redesigning what works.
- 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, AWS Engineer and specialists across Tech, Product and Data
AWS Engineer: what this role brings to your project
An AWS Engineer builds and operates systems on Amazon Web Services: they choose and connect the services (EC2, Lambda, S3, CloudFormation) that hold the application up, and leave the infrastructure defined in code instead of assembled by hand.
It is not just certification: their craft is deciding which service solves each need and what it costs to maintain. When the project touches AI, they extend the same logic to Bedrock.
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
Architecture that genuinely scales
The right service for each workload: EC2 when you need a machine, Lambda when you do not. Architecture is decided on your real traffic, not the catalogue.
Serverless with Lambda that saves spend
Functions that execute and switch off: you pay for usage, not sleeping servers, and every function ships with tests and telemetry.
Infrastructure defined as code
CloudFormation or Terraform: the account can be reproduced, audited and switched off without fear. Nothing stays hand-assembled and untracked.
Permissions closed by design
IAM with minimal roles per service: who accesses what is written and audited, with no keys spread around the office.
A short path to models with Bedrock
When the project touches AI, Bedrock connects models with your data without standing up a separate platform: same account, new layer.
Capacity without growing headcount
An AWS Engineer by project, no hiring process: certified talent that joins with your account and your roles.
What is the difference between an AWS Engineer and an AWS DevOps Engineer?
How much does an AWS Engineer cost?
Do I need someone certified to work with AWS?
What does an AWS project need to get started?
Can an AWS Engineer work remotely?
Is an AWS Engineer the same as an AWS solutions architect?
What gets delivered in the first weeks
The map of your AWS account with its risks and costs, the architecture of the service being built and the first piece in production with its CloudFormation template.
The most-mentioned cloud on the market
6,170 active tech job ads in Spain mention AWS, one in five of the corpus, according to Shakers' market analysis (n=30,508, September 2026). No other cloud concentrates as much demand.
Where the AWS Engineer ends
They do not automate the deployment pipeline as a goal of its own (that is the DevOps cut) nor design the multi-cloud strategy: they build inside AWS. If the problem lives in your Amazon account, it is theirs.
A team by project, not a vacancy
The brief arrives with the account and the symptom: cost that grows, a service that will not scale. Scope closes before kickoff and the architecture stays documented.
Connect with AI specialists to build your next project
Find specialists in Tech, Product, Data to complement your team
AWS DevOps Engineer
The DevOps cut of the ecosystem: when the problem is the pipeline deploying onto AWS, this is the page that comes in.
DevOps Engineer
The automation of the software cycle with no cloud identity: AWS as one of its three possible environments.
Cloud Architect
Decides whether AWS is the cloud and how it is structured: the decisions your engineer executes inside the account afterwards.
Data Engineer
When the AWS part of the project is the data: Kinesis, Glue and the lake feeding the rest of the account.
The AI talent you need Certified by Shakers
We introduce you to three ready_to_build AI Builders in 72 hours.