Hire Google Cloud Developers | Nearshore Software Development

Google Cloud Platform (GCP) is the powerhouse for data-intensive workloads and container-native applications, leveraging Google's expertise in planetary-scale infrastructure and data analytics. You need an engineer who can leverage GCP's key differentiators-especially its best-in-class Kubernetes offering (GKE), its serverless approach (Cloud Run, Cloud Functions), and its unparalleled data tools (BigQuery, Cloud Spanner). Our vetting process is designed to find certified experts who prioritize efficiency, native containerization, and data integration. We test for mastery in architecting highly scalable, global systems that benefit from Google's advanced networking and serverless tools. By hiring a GCP expert from us, you are equipping your team with a developer who can build a platform optimized for modern, cloud-native scale and data processing.

Is your container orchestration complex and costly to manage?

The Problem

While Kubernetes (K8s) is powerful, managing the master plane can be complex and expensive. Using GKE inefficiently, or not leveraging its serverless container options, defeats the purpose of choosing the best-in-class container platform.

The TeamStation AI Solution

We vet for mastery of Google Kubernetes Engine (GKE). Our experts must demonstrate proficiency in features like auto-pilot mode for hands-off cluster management, as well as the ability to use Cloud Run for fully serverless, container-based deployments, maximizing efficiency and minimizing operational overhead.

Proof: GKE and Cloud Run (Serverless Containers) Mastery

Are you struggling to process and analyze massive datasets?

The Problem

Traditional relational databases often fail under Big Data loads. Developers who don't utilize GCP's specialized data tools for analysis and warehousing create bottlenecks that prevent the business from gaining timely insights from its data.

The TeamStation AI Solution

Our engineers are experts in GCP's data ecosystem. They are vetted on their ability to use BigQuery for petabyte-scale data warehousing, Cloud Pub/Sub for real-time messaging, and Cloud Spanner for globally consistent, horizontal-scale relational data, ensuring fast, cost-effective data analysis.

Proof: Proficiency in BigQuery and Cloud Pub/Sub

Is your resource provisioning manual and lacking security governance?

The Problem

Managing GCP projects without proper governance or IaC leads to shadow IT, security drift, and cost overruns. Lack of organizational policy enforcement makes compliance impossible to guarantee.

The TeamStation AI Solution

We look for engineers proficient in Google Cloud Deployment Manager or Terraform on GCP. They are vetted on their ability to use IaC to define all resources and apply organizational policies and IAM roles at the project and folder level, ensuring centralized control and auditable compliance.

Proof: IaC (Deployment Manager/Terraform) and IAM/Organization Policy

Core Competencies We Validate

Containerization (GKE, Cloud Run)

Networking (VPC, Cloud Load Balancing)

Data Services (BigQuery, Cloud Pub/Sub, Cloud Spanner)

Identity and Security (IAM, Secret Manager)

IaC (Deployment Manager/Terraform)

Our Technical Analysis

The GCP evaluation is focused on data, networking, and cloud-native containerization. Candidates are tested on their ability to design a highly scalable microservice architecture using GKE, including service meshes and network policies, or the serverless alternative Cloud Run. We rigorously assess their expertise with GCP's data crown jewel, BigQuery, requiring them to write complex SQL and demonstrate an understanding of its performance and cost models. A key area is security and identity, specifically testing their ability to define granular IAM roles and secure application secrets using Secret Manager. Finally, we require practical experience with Infrastructure-as-Code (IaC), assessing their ability to define complex resource dependencies using either Deployment Manager or Terraform, proving they can manage a global-scale environment repeatably and securely.

Related Specializations

Kubernetes (K8s)Terraform Data Engineering

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