Remote Senior DevOps Engineer | Azure & Kubernetes

NTT DATA North America; Dallas (TX); Remote; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) with company match

Paid time off

Job summary

A leading IT services provider is seeking a DevOps engineer to enhance cloud automation and resource management. This position requires expertise in coding with Python or TypeScript, experience in networking, and familiarity with cloud platforms such as Azure or AWS. Responsibilities include managing Kubernetes clusters, automating CI/CD processes, and ensuring the successful onboarding of applications. The role offers competitive hourly compensation and a commitment to diversity and inclusion.

Qualifications

• 1+ years coding in Python, TypeScript, or Go.
• 1+ years scripting experience in Bash or PowerShell.
• 4+ years of networking experience including security and cloud.
• 4+ years of systems administration experience.
• 1+ years experience with public cloud platforms.

Responsibilities

• Manage infrastructure with Terraform and automate deployments.
• Implement and manage Kubernetes clusters for container orchestration.
• Utilize Azure services for application solutions.
• Set up CI/CD using Azure Pipelines and automate workflows.
• Automate onboarding processes for applications.
• Architect solutions for database deployment automation.
• Develop reporting and monitoring automation.
• Build self-service capabilities.
• Lead onboarding applications in cloud environments.
• Oversee release engineering activities.

Skills

Python

TypeScript

Go

Bash

PowerShell

Networking

Systems Administration

AWS

Azure

GCP

Tools

Terraform

Kubernetes

Docker

Azure DevOps

Azure Pipelines

Job description

A leading IT services provider is seeking a DevOps engineer to enhance cloud automation and resource management. This position requires expertise in coding with Python or TypeScript, experience in networking, and familiarity with cloud platforms such as Azure or AWS. Responsibilities include managing Kubernetes clusters, automating CI/CD processes, and ensuring the successful onboarding of applications. The role offers competitive hourly compensation and a commitment to diversity and inclusion.