NucleusTeq

AI-driven enterprise software and data modernization

GKE Engineer

Platform EngineeringConfirmed live in the last 24 hours

Full-timeNo salary listedIn-person

About the Job

Requirements

At least 5 years of professional experience in DevOps, Cloud Engineering, or Site Reliability Engineering, with a strong focus on Kubernetes.
Deep architectural knowledge of Google Cloud Platform and Google Kubernetes Engine.
Proven experience implementing GitOps workflows using ArgoCD and automating workflows with GitHub Actions.
Advanced proficiency with Terraform for managing complex cloud environments.
Advanced experience modifying Helm charts, managing Custom Resource Definitions, and using kubectl for troubleshooting.
Understanding of Kubernetes networking, including Ingress controllers, Load Balancers, and FQDN network policies.

Responsibilities

Lead deployment and lifecycle management of production GKE clusters, including node pool configuration, version upgrades, and multi-zonal availability.
Architect and maintain deployment pipelines for microservices using ArgoCD and GitHub Actions.
Provision and manage GCP resources using Terraform.
Implement proactive monitoring and optimize cluster performance and costs through autoscaling and right-sizing.
Configure granular IAM roles, least-privilege service account access, and FQDN-based network policies.
Manage Helm manifest updates, Custom Resource Definitions, and Kubernetes Operators.

Core Responsibilities:

Enterprise Cluster Orchestration: Lead the deployment and lifecycle management of production GKE clusters. You will manage node pool configurations, version upgrades, and multi-zonal availability.

Advanced CI/CD Automation: Architect and maintain sophisticated deployment pipelines for microservices using ArgoCD (GitOps) and GitHub Actions, ensuring a 'push-to-deploy' developer experience.

Infrastructure as Code (IaC): Drive a 100% automation mandate by provisioning and managing all GCP resources using Terraform.

Optimization & Observability: Implement proactive monitoring and fine-tune cluster performance. You will be responsible for cost-optimization through strategic autoscaling (HPA/VPA) and right-sizing.

Security Governance: Establish a Zero Trust framework within the cluster by configuring granular IAM roles, service account least-privilege access, and FQDN-based network policies.

Kubernetes Tooling & Extensibility: Act as the subject matter expert for Helm, managing complex manifest updates, Custom Resource Definitions (CRDs), and Kubernetes Operators.

Technical Requirements:

Experience: 5+ years of professional experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE), with a heavy focus on Kubernetes.
Platform Expertise: Deep architectural knowledge of Google Cloud Platform (GCP) and GKE.
Deployment Tools: Proven track record of implementing GitOps workflows using ArgoCD and automating workflows with GitHub Actions.
IaC Mastery: Expert-level proficiency in Terraform for managing complex cloud environments.
Packaging & CLI: Advanced experience modifying Helm charts, managing CRDs, and using the Kubernetes CLI (kubectl) for deep-dive troubleshooting.
Networking & Security: Solid understanding of Kubernetes networking, including Ingress controllers, Load Balancers, and FQDN network policies.

Why Join Us?

Work in an innovative environment with the business that is shaping the future of data migration.
Be part of a dynamic, high-growth environment at NucleusTeq.
Competitive salary and comprehensive benefits package.

About the Company

NucleusTeq

AI-driven enterprise software and data modernization

NucleusTeq delivers AI-powered software services and products to large enterprises, focusing on data modernization, cloud migration, and enterprise automation. Its flagship NuoData platform provides end-to-end data modernization, governance, and analytics to reduce integration costs and simplify data management. The company distinguishes itself through partnerships with AWS, Google Cloud, Microsoft Azure, and Snowflake, plus an experienced leadership team and a global delivery network. Its goal is to help Fortune 500 and 1000 firms upgrade legacy systems and speed digital transformation using AI-driven solutions.

Company size: 201-500
Company stage: Not listed
Total funding: Not listed
Headquarters: Phoenix, AZ
Founded: 2018

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