Azure Kubernetes Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Houston (TX); Presencial; USD 88.000 - 116.000; Jornada completa

Descripción de la vacante

MACHINE LEARNING TECHNOLOGIES LLC in Houston, TX is seeking an Azure Kubernetes Engineer to design, deploy, and manage AKS clusters. The role emphasizes advanced engineering, security, and observability across enterprise container platforms on Azure.

You will drive CI/CD pipelines, implement automation, and mentor L3/L2 engineers while collaborating with cross-functional teams.

Formación

• Bachelor's degree or equivalent practical experience.
• 8+ years of infrastructure or cloud engineering experience.
• At least 4 years hands-on Kubernetes and Azure experience.
• Experience supporting production enterprise environments.

Responsabilidades

• Design, deploy, and manage AKS clusters across environments.
• Provide L3 incident, problem, and root-cause analysis for Kubernetes issues.
• Automate infrastructure with Terraform, ARM/Bicep, and Azure DevOps.
• Build and maintain CI/CD pipelines and Helm deployment standards.
• Configure networking, ingress, DNS, storage, and Azure identity integration.
• Establish monitoring with Azure Monitor, Log Analytics, Prometheus, and Grafana.
• Implement platform security controls and vulnerability remediation.
• Lead technical escalations and mentor junior engineers.

Conocimientos

AKS

Kubernetes

Terraform

CI/CD

PowerShell

Linux

Azure DevOps

GitHub Actions

Azure CLI

Educación

Bachelor’s degree in CS/IT/Engineering

Herramientas

Terraform

Bicep

PowerShell

Bash

Python

Azure CLI

Git

Azure DevOps

Descripción del empleo

Job Summary

• Job ID: J53998
• Job Title: Azure Kubernetes Engineer
• Location: Houston, TX
• Duration: 8 Months + Extension
• Domain Exposure: Media/ Entertainment
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C
• Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other
• Bill Rate: $74/hour (C2C)
• Work Authorization: US Citizen, Green Card, H-1B, OPT-EAD, CPT, H4-EAD, Other

Job Description

The Azure Kubernetes Engineer – L3 will provide advanced engineering and operational support for enterprise container platforms hosted on Microsoft Azure. The role is responsible for designing, deploying, securing, troubleshooting, and optimizing Azure Kubernetes Service (AKS) environments while serving as the escalation point for complex platform and application issues.

Key Responsibilities

• Design, deploy, upgrade, and administer highly available AKS clusters across development, test, and production environments.
• Provide L3 incident, problem, and root-cause support for Kubernetes, containers, networking, storage, security, and application deployment issues.
• Implement infrastructure automation using Terraform, ARM/Bicep, Azure DevOps, GitHub Actions, PowerShell, or Azure CLI.
• Build and maintain CI/CD pipelines and Helm-based deployment standards for containerized workloads.
• Configure cluster networking, ingress, load balancing, DNS, private endpoints, service mesh, persistent storage, and Azure identity integration.
• Establish monitoring, logging, alerting, capacity management, and observability using Azure Monitor, Log Analytics, Application Insights, Prometheus, and Grafana.
• Implement platform security controls, including RBAC, Microsoft Entra ID integration, secrets management, image scanning, policy enforcement, and vulnerability remediation.
• Drive performance tuning, resiliency, backup, disaster recovery, patching, and cost optimization.
• Develop operational runbooks, architecture documents, support procedures, and knowledge articles.
• Collaborate with application, cloud, network, security, database, and service management teams; mentor L1/L2 engineers and lead technical escalations.

Required Skills

• Strong hands-on experience with Azure Kubernetes Service, Kubernetes administration, Docker, and container orchestration.
• Deep understanding of Kubernetes architecture, pods, deployments, services, ingress, namespaces, RBAC, autoscaling, configuration, and troubleshooting.
• Strong Azure knowledge, including virtual networks, load balancers, private DNS, storage, Key Vault, managed identities, Azure Container Registry, Azure Policy, and Microsoft Entra ID.
• Hands‑on experience with Terraform or Bicep and scripting using PowerShell, Bash, Python, or Azure CLI.
• Experience with Helm, Git, Azure DevOps or GitHub, and enterprise CI/CD practices.
• Experience with Linux administration, TCP/IP, DNS, TLS, firewalls, and cloud networking.
• Experience with monitoring and observability platforms such as Azure Monitor, Log Analytics, Prometheus, and Grafana.
• Strong troubleshooting, root‑cause analysis, documentation, and stakeholder communication skills.
• Experience working within ITIL-based incident, problem, change, and release management processes.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related discipline, or equivalent practical experience.
• 8+ years of infrastructure or cloud engineering experience, including at least 4 years of hands‑on Kubernetes and Azure experience.
• Demonstrated experience supporting business-critical production environments in an enterprise setting.

Preferred Skills

• Microsoft Certified: Azure Administrator Associate, Azure Solutions Architect Expert, or Azure DevOps Engineer Expert.
• Certified Kubernetes Administrator (CKA), Certified Kubernetes Application Developer (CKAD), or Certified Kubernetes Security Specialist (CKS).
• Experience with GitOps tools such as Argo CD or Flux, service mesh technologies, and policy tools such as OPA/Gatekeeper.
• Experience with hybrid cloud, enterprise security standards, and regulated environments.

Work Requirements

• Primary work location: Houston, Texas.
• Ability to participate in an on‑call rotation and support planned after‑hours maintenance or critical incidents.
• Ability to work collaboratively with customer and global delivery teams across time zones.

Equal Opportunity Employer

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.