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Cloud Engineer

Job in Chandler, Maricopa County, Arizona, 85249, USA
Listing for: Insight Global
Full Time position
Listed on 2026-02-21
Job specializations:
  • IT/Tech
    Systems Engineer, Data Engineer
  • Engineering
    Systems Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Job Description

Write public cloud infrastructure as code automation using tools such as Terraform

Design and develop public cloud landing zones automation to build core cloud foundational platform services

Develop cloud services provisioning automation with integrated capabilities of IAM, network, security policies as code, and observability

Implement built-in resiliency, observability, and enable Fin Ops as a part of infrastructure automation to enable data PaaS services

Develop and maintain cloud services catalog for app developers and devops teams

Develop CI/CD pipelines to build the cloud data analytics platform

Collaborate with technical product management and operations, to deliver the engineering roadmap in Agile model

Partner with Information Security teams to engineer secure app patterns into Cloud platforms

Assist in translating business requirements into technical definitions, reference models, blueprints, and playbooks for deployment in compliance with architecture standards and policies

Assist technical Analysts and Infrastructure Engineers by ensuring that technology solutions comply with enterprise system design and engineering standards.

Promote an inclusive and healthy working environment and help to resolve organizational impediments/blockers¿

¿ Significant experience writing Hashicorp Terraform configurations and modules.

Experience in Dev Ops models with infra-as-code, config-as-code, policy-as-code, etc.

Proficient in translating designs into fully developed Terraform code.

Strong knowledge of Microsoft Azure Cloud, certification preferred. AWS and GCP desirable.

Solid understanding of cloud networking concepts, subnets, routing, load balancing, firewalls, and cloud security.

Experience in enterprise-scale environments, building highly available IaaS and PaaS solutions

Understanding of landing zones, cloud-native security, monitoring and logging tools, and Well-Architected Framework principals.

Understanding of Azure data analytics technologies including Azure Data Factory, Azure Data Lake, Azure Databricks. Microsoft Purview and Power BI

Experience in programming and infra-automation tools – Terraform, Ansible, Java, python, etc.

Experience in Cloud logging, monitoring, and observability tools

Proficient in at least one scripting language (i.e. Bash, Python).

Strong analytical, problem solving and organizational skills

Excellent communication skills

Excellent collaboration skills and ability to work in a global team

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to  learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

Minimum 5+ years of Cloud Automation Engineer working experience

Experience in financial services industry

Experience on technology and infrastructure teams

Experience in Linux/UNIX system administration

Experience in Azure data analytics technologies including Azure Data Factory, Azure Data Lake, Azure Databricks, Microsoft Purview and Power BI

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