Description:

We are expanding our Cloud Engineering team and are looking for a Cloud Engineer with solid experience in Google Cloud Platform (GCP), particularly in its infrastructure and data services.
We value knowledge in cloud solutions, preferably with GCP, but also appreciate experience with other public cloud providers.
We focus on key competencies rather than job titles, with an emphasis on DevOps and managing cloud infrastructure and services, especially GCP data services.
Our vision is to build multidisciplinary teams that self-manage in an AGILE environment to provide the best possible solutions.
Responsibilities include designing and implementing infrastructures in Google Cloud Platform (GCP), such as network topologies, computing services, storage, and databases.
You will implement and configure IaaS and PaaS services in GCP, including Google Compute Engine, Google Kubernetes Engine (GKE), Cloud Functions, and Cloud Run.
You will manage GCP data services like BigQuery, Dataflow, Pub/Sub, and Dataproc.
You will generate CI/CD flows using GCP-compatible tools like Cloud Build and Google Kubernetes Engine.
You will develop infrastructure as code (IaC) using Terraform or Deployment Manager.
You will collaborate with teams to optimize governance, security, and scalability of GCP solutions.
You will participate in multidisciplinary projects with an agile and continuous improvement focus.

Requirements:

A minimum of 3 years of hands-on experience with Google Cloud Platform (GCP) is required.
You must have implemented IaaS and PaaS solutions in GCP.
Practical knowledge of governance models and security policies in GCP is necessary.
Experience in implementing cloud networks and topologies (VPCs, VPNs, Firewalls, etc.) is required.
You should have experience with CI/CD in GCP, such as Cloud Build, Cloud Deploy, or integrations with other CI/CD systems.
Experience with infrastructure as code (IaC) using tools like Terraform or Google Cloud Deployment Manager is essential.
A fluent level of English (written and spoken) is required.
We would value experience in hybrid or multi-cloud environments.
General knowledge of Kubernetes and cluster management with GKE is appreciated.
Experience with version control tools like GitHub or GitLab is a plus.
Scripting skills in Python, Bash, or Go for task automation are desirable.
Experience with GCP data services and solutions, such as BigQuery, Dataflow, Dataproc, is beneficial.
Knowledge of software development to integrate well in a DevOps environment (Python, Go, etc.) is valued.

A competitive salary based on market standards and your experience is offered.
Flexible working hours of 35 hours per week are available.
100% remote work is optional.
Flexible compensation for restaurant, transportation, and childcare expenses is provided.
Medical and dental insurance is fully covered for the employee.
An individual budget for training and free Microsoft certifications is available.
Individual English classes are offered.
A day off for your birthday is included.
A monthly bonus for electricity and internet expenses at home is provided.
Discounts on gym plans and sports activities are available.
An annual team-building event called Plain Camp is organized.
You will have the pleasure of working with the latest technological tools.