DevOps Engineer

Tegna Inc.
Austin, United States of America
1 month ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Junior
Compensation
$ 156K

Job location

Remote
Austin, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Data analysis
Azure
Bash
Cloud Computing
Cloud Computing Security
Configuration Management
Continuous Integration
DevOps
Python
Software Vulnerability Management
Scripting (Bash/Python/Go/Ruby)
Gitlab
Kubernetes
Information Technology
Terraform
Amazon Web Services (AWS)
Docker

Job description

The client is seeking a DevOps Engineer focused on AI-driven automation and platform efficiency to help streamline development workflows, implement automation strategies, and support infrastructure initiatives across a multi-cloud environment.

Day-to-Day Responsibilities:

  • Act as the team's automation subject matter expert, identifying opportunities to improve engineering workflows using AI and automation
  • Evaluate development processes and recommend improvements to increase engineering efficiency
  • Lead sprint planning processes including standups, backlog organization, and task delegation
  • Define technical requirements and scope for infrastructure and automation projects
  • Collaborate with DevOps, application development, cybersecurity, and AI teams to align automation initiatives
  • Design and implement AI-powered tools or agents to improve operational efficiency
  • Write, modify, and execute Terraform code to support infrastructure automation when needed
  • Support containerized infrastructure using Kubernetes and Docker
  • Analyze current platform infrastructure modules and identify opportunities for optimization or rework
  • Document processes, technical designs, and project plans to ensure scalable and repeatable workflows

Requirements

  • Must-Haves:
  • 5-8 years of experience in DevOps, platform engineering, or automation-focused engineering roles

  • Strong experience implementing AI-driven automation within engineering or development workflows

  • Experience managing or coordinating complex technical projects across multiple teams

  • Hands-on experience with infrastructure-as-code tools (Terraform or similar IaC platforms)

  • Kubernetes experience, preferably with AWS EKS

  • Experience working with cloud platforms such as AWS or Azure

  • Strong scripting experience (Python, Bash, or similar) for automation initiatives

  • Ability to evaluate technical processes and translate them into structured implementation plans

  • USC only per clients request Nice-to-Haves:

  • Experience building AI applications, internal tools, or automation agents

  • Experience with Ansible for configuration management

  • Experience with CI/CD platforms such as GitLab or similar tools

  • Familiarity with secrets management tools such as Vault

  • Experience working in regulated or highly compliant environments

  • Experience with platform engineering or internal developer platform initiatives

Apply for this position