Infrastructure Engineer

Aditi Consulting

Blue Ash (OH)

On-site

USD 68,880 - 82,656

Full time

14 days+

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Benefits offered by this job

Medical benefits
Dental benefits
Vision benefits
401(k) plan participation
Commuter benefits
Life and disability insurance
10 paid days off

Job summary

A leading consulting firm is seeking an experienced Infrastructure Engineer to enhance DevOps practices across warehousing applications. You will manage Azure resources, support CI/CD workflows, and collaborate with various teams to streamline deployment processes. Ideal candidates will have 5+ years in relevant roles with strong CI/CD and cloud platform experience. Competitive pay and comprehensive benefits are offered.

Qualifications

  • 5+ years of experience in DevOps, infrastructure, or release engineering.
  • Strong CI/CD tool proficiency.
  • Experience with cloud platforms, especially Azure.

Responsibilities

  • Assist with software release processes across warehousing applications.
  • Manage and optimize Azure resources for development and operations.
  • Configure and manage Dynatrace for monitoring.

Skills

CI/CD tools proficiency
Azure experience
Infrastructure-as-code tools familiarity
Containerization and orchestration skills
Dynatrace hands-on experience
Team collaboration

Tools

GitHub Actions
Docker
Kubernetes
Terraform
Ansible

Job description

Overview

We are seeking a proactive and versatile Infrastructure Engineer to support and evolve DevOps practices across multiple teams and projects within warehousing domain. The scope of this role includes ownership of release processes, cloud resource management, and cross-team collaboration.

Responsibilities
  • Assist with our own software release processes across warehousing applications.
  • Manage and optimize Azure resources used by development and operations teams.
  • Configure and manage Dynatrace for monitoring and logging across environments.
  • Support CI/CD workflows using tools such as GitHub Actions, Harness, and Rancher.
  • Collaborate with developers, QA, and infrastructure teams to streamline deployment and monitoring.
  • Maintain infrastructure automation and configuration management.
  • Oversee internal application review process, ensuring compliance and readiness.
  • Troubleshoot and resolve issues in production and staging environments.
  • Document operational procedures and DevOps best practices.
Pay

Pay rate: $50.00 - $60.00/hr.

Required Qualifications
  • 5+ years of experience in DevOps, infrastructure, or release engineering roles.
  • Strong proficiency with CI/CD tools (e.g., GitHub Actions, Jenkins, Azure DevOps).
  • Experience with cloud platforms, especially Azure.
  • Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible).
  • Experience with containerization and orchestration (e.g., Docker, Kubernetes, Rancher).
  • Hands-on experience with Dynatrace for monitoring and logging.
  • Ability to work across multiple teams and manage competing priorities.
Preferred Qualifications
  • Experience in warehousing, logistics, or supply chain environments.
  • Familiarity with internal systems.
  • Exposure to monitoring tools like Dynatrace, Datadog or Prometheus.
Other

Pay Transparency: The typical base pay for this role across the U.S. is: $50.00 - $60.00/hr. Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education and experience and the benefits package you select. Full-time employees are eligible to select from different benefits packages. Packages may include medical, dental, and vision benefits, 10 paid days off, 401(k) plan participation, commuter benefits and life and disability insurance.

Privacy notice: For information about our collection, use, and disclosure of applicant's personal information as well as applicants' rights over their personal information, please see our Privacy Policy. Aditi Consulting LLC uses AI technology to engage candidates during the sourcing process. AI technology is used to gather data only and does not replace human-based decision making in employment decisions.

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