TeamStation AI

Hire GitOps Experts | Nearshore Software Development

GitOps is a revolutionary operational framework that uses Git as the single source of truth for declarative infrastructure and applications. It brings developer best practices (PRs, version control, auditing) to the realm of operations. You need a Senior GitOps expert who can implement this framework end-to-end, mastering the continuous reconciliation loop. Our vetting process is designed to find experts in controllers like ArgoCD and Flux, assessing their deep understanding of the core principles: Declarative Infrastructure, Version Control, and Automated Reconciliation. By hiring a GitOps expert from us, you get a developer who can eliminate configuration drift, enforce a clear audit trail for every change, and enable a faster, safer, and more consistent path to production.

Is your deployment process manual, imperative, and non-auditable?

The Problem

Traditional CI/CD tools *push* changes to the cluster, which is not auditable and can easily result in the cluster state diverging from the configuration state if manual changes are made. This configuration drift makes debugging difficult and is a major compliance risk.

The TeamStation AI Solution

We vet for mastery of Declarative Configuration. Our experts must demonstrate the ability to define all infrastructure and application state in Git (e.g., Kubernetes YAMLs, Helm Charts), using a GitOps controller (ArgoCD or Flux) to continuously *pull* and enforce the desired state, guaranteeing auditability and consistency.

Proof: Declarative Configuration and Continuous Reconciliation
Are you struggling to manage configuration across multiple environments?

The Problem

Managing production, staging, and development environments often results in complex branching strategies or painful configuration overlays that are difficult to merge and track. This makes promoting a release through the environments a high-risk, manual chore.

The TeamStation AI Solution

Our engineers are experts in GitOps environment management. They are vetted on their ability to use tools like Kustomize within their GitOps flow, allowing them to define base configurations and use environment-specific overlays (e.g., different replicas, different image tags) to safely promote configuration through environments via a simple Pull Request merge.

Proof: Kustomize for Multi-Environment Configuration
Is your team unable to self-service deployments securely?

The Problem

In non-GitOps environments, only a few specialized DevOps engineers can push to production. This creates a bottleneck and prevents feature teams from owning their entire release lifecycle, slowing down deployment frequency.

The TeamStation AI Solution

We look for engineers proficient in GitOps access control. They are vetted on their ability to use the native security features of the GitOps controller (e.g., ArgoCD RBAC) to allow feature teams to manage their own application deployments declaratively via Pull Requests, enabling true self-service deployment while maintaining centralized control and auditability.

Proof: Secure Self-Service Deployment

Core Competencies We Validate

Core GitOps principles (Declarative, Pull vs. Push)
GitOps Controllers (ArgoCD, Flux)
Configuration Management (Kustomize, Helm)
Continuous Reconciliation and Drift Mitigation
RBAC and Security within the GitOps flow

Our Technical Analysis

The GitOps evaluation is focused on architecture and the continuous synchronization process. Candidates are first tested on the core difference between the imperative (CI/CD push) and declarative (GitOps pull) deployment models. The critical assessment is their mastery of a GitOps controller (ArgoCD or Flux): candidates must configure a controller to synchronize a Helm Chart deployment across multiple environments, proving their ability to manage application lifecycles. We rigorously test their ability to manage configuration variations using Kustomize overlays within the Git repository structure. A key differentiator is their understanding of Drift Mitigation: candidates must diagnose a scenario where a manual change was made to the cluster and explain how the GitOps controller's continuous reconciliation loop will detect and fix the drift, ensuring the cluster state reverts to the desired state defined in Git. Finally, we assess their knowledge of using Git history for a complete, defensible audit trail of every production change.

Related Specializations

Kubernetes (K8s)CI/CD Pipeline ArchitectureTerraformHelm

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