Develops and deploys microservices on Kubernetes with focus on scalability and application resilience.
Brazil
years
/month
Builds and optimizes data pipelines on Kubernetes for real-time analytics and big data workloads.
Mexico
years
/month
Maintains high availability of Kubernetes clusters through monitoring, scaling, and automated recovery.
Mexico
years
/month
Secures Kubernetes workloads with access controls, service mesh, and compliance enforcement.
Chile
years
/month
Expert in Kubernetes CI/CD pipelines, continuous delivery, and infrastructure as code deployment.
Colombia
years
/month
Designs and scales Kubernetes clusters for multi-cloud environments with automation best practices.
Argentina
years
/month
Teilur Talent is disrupting the international recruiting industry through transparent pricing.Kubernetes Engine Developers
This map shows the most popular LATAM countries for hiring tech talent from the U.S.
Explore the map and find the ideal place to build your next remote team.
Mexico offers qualified tech talent, good communication and competitive costs, all in your time zone.
Costa Rica combines strong English skills, nearshore convenience, and a growing tech sector ideal for U.S. teams.
Colombia is a top LATAM destination for remote tech hiring, with aligned work hours and strong engineering talent.
Argentina is known for its strong engineering education, high English proficiency, and attractive hiring costs.
Brazil offers a massive tech talent pool, solid technical skills, and a growing remote-first workforce.
Peru offers growing tech talent, good English skills, and competitive costs for remote teams.
Guatemala combines low costs, emerging talent, and a growing tech community to support U.S. teams.
Kubernetes is an open-source system that helps businesses run and scale their applications in the cloud without unnecessary stress. Instead of relying on manual setups or fragile servers, Kubernetes organizes applications into containers, making them easier to manage, update, and grow as demand increases. For companies that want stability and efficiency, choosing to hire Kubernetes developer talent is often a smart long-term investment.
Enterprises usually turn to a kubernetes developer for hire because Kubernetes directly solves some of the most common business challenges:
Scalability without chaos: When customer traffic spikes, whether during holiday sales or sudden viral growth, Kubernetes makes sure applications keep running smoothly without crashing.
Cost control: Cloud bills can spiral out of control if resources aren’t managed. Kubernetes optimizes usage so you only pay for what you need, reducing waste.
If you are looking for remote talent, Latin America has become one of the best places to hire Kubernetes developers. One of the biggest advantages is time zone alignment. Countries like Mexico, Colombia and parts of Brazil share similar working hours with key U.S. cities, which makes communication and day to day collaboration much smoother. This means you do not need to wait until the next day to solve an issue or make an important decision.
Another clear benefit is cost. Because of the local cost of living, choosing to hire Kubernetes developer talent in Latin America can save between 40 and 60% compared to hiring in North America, while still giving you access to experienced and professional engineers. Mexico in particular shares many cultural and business similarities with the U.S., which makes integration into international teams even easier.
Below you will find a table that shows how much it can cost to hire in Latin America. Keep in mind that exact salaries may vary depending on the developer, their city, and their years of experience.
When it comes to hiring a Google Kubernetes Engine developer, it's important to choose the hiring model that best fits your needs and the scope of your project. There are several options, each with its advantages depending on the duration and nature of the work:
When hiring a Google Kubernetes Engine developer, it’s important to prioritize certain technical skills. These skills will ensure that your project runs smoothly and efficiently on GKE.
These skills will enable your developer to effectively manage Kubernetes clusters and ensure your application performs at its best on GKE.
Hiring a Kubernetes expert goes beyond checking off technical skills on a resume. The first step is understanding your real needs as a business. Do you want someone to set up Kubernetes from scratch, or do you already have a cluster that needs ongoing maintenance and scaling? The answer to this question will shape the profile you should look for when you decide to hire Kubernetes developer talent. For instance, an e-commerce company preparing for seasonal traffic may require a developer who can improve uptime and stability, while a fintech startup might prioritize security and compliance for handling sensitive customer data.
Once your goals are clear, focus on finding candidates who can connect technology with business value. A strong kubernetes developer for hire should be able to explain complex concepts in simple language, ensuring your non-technical team members understand the reasoning behind each decision. This not only builds trust but also avoids unnecessary confusion. You can also test their skills with real-world scenarios, like asking how they would respond if your application suddenly went down during peak hours. The way they answer will show not just their technical knowledge, but also their clarity, problem-solving, and ability to fit into your team’s workflow.
At Teilur Talent, we specialize in helping companies hire Kubernetes developer talent and other full-time engineers who are motivated to stay long term. With a retention rate of over 90 percent, our process goes beyond just testing for hard skills. Every candidate goes through English assessments and rigorous technical evaluations, but just as importantly, we take the time to explain your company’s mission, your website, and the value of the project to them. This way, we only present developers who are genuinely interested in your opportunity and committed to building a future with your team, not just looking for the next gig. That extra step is what drives motivation and ensures stronger alignment between candidate and client.
Once a developer joins your team, we remain actively involved to guarantee a smooth experience for everyone. In the first weeks, we hold bi-weekly check-ins with candidates to identify any red flags early and support them with guidance, resources, or even community learning opportunities. Over time, those sessions become monthly as the relationship stabilizes, but the principle remains the same: ongoing feedback and support to keep both sides aligned. When clients recognize milestones such as a one-year anniversary, we encourage fair salary reviews that go directly to the candidate, ensuring transparency and long-term motivation. By treating hiring not as a transaction but as a partnership, Teilur Talent helps companies secure full-time professionals who grow with the business and deliver consistent results.
The cost of using GKE depends on factors like the number of nodes, the size of your clusters, and the services you use. Google charges for the virtual machines (VMs) that run your clusters and the storage used by your containers. Typically, you’ll pay for compute resources on an hourly or per-second basis.
Google App Engine (GAE) is a platform-as-a-service (PaaS) offering, and while it doesn't directly use Kubernetes, Google Cloud offers a managed Kubernetes service (GKE) that works seamlessly with GAE for certain use cases.
Cloud Run is a fully managed compute platform for deploying containerized applications. GKE, on the other hand, provides a more customizable environment for managing containers at scale. GKE is better suited for complex, large-scale applications, while Cloud Run is ideal for simpler use cases.
Docker is a containerization tool, while Kubernetes is an orchestration platform that helps manage those containers at scale. Kubernetes helps automate the deployment, scaling, and management of containerized applications, while Docker handles the creation and packaging of containers.
GKE offers benefits like high availability, easy scaling, automatic updates, and integration with other GCP services. It also simplifies the management of Kubernetes clusters, making it easier for developers to focus on building and scaling their applications.
No, GKE is not a virtual machine. GKE is a managed service for running and orchestrating containers on Kubernetes clusters. However, it uses virtual machines (VMs) as the underlying infrastructure to run those containers.