Azure Engineer: Cloud & Fault-Tolerant Systems Flexible

Energy Innovation Corp

Hamilton (OH)

On-site

USD 68,000 - 99,000

Full time

8 days ago

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Benefits offered by this job

Benefits
Growth budget
Flexible scheduling

Job summary

Energy Innovation Corp in Hamilton, OH is seeking an Azure Engineer to transform vague requests into concrete cloud solutions. The role emphasizes leading migration efforts, architecting fault-tolerant distributed systems, and collaborating with stakeholders across the organization.

You will navigate OpenShift and Azure-based environments, improve performance, and guide teams through modernization. This position offers competitive pay, benefits, and flexible scheduling in a fast-moving,

Qualifications

  • 3 years of experience in cloud engineering.
  • Experience with Azure and OpenShift.
  • Ability to translate vague requests into concrete outcomes.
  • Strong collaboration and stakeholder communication.

Responsibilities

  • Turn vague technology requests into concrete Azure-based solutions.
  • Refactor and optimize legacy systems to reduce tech debt.
  • Diagnose and fix user-reported issues and monitor alerts.
  • Architect fault-tolerant distributed systems leveraging Azure services.
  • Reverse-engineer undocumented components to enable migration.
  • Support migration of on-premise services to cloud-native architecture.
  • Tune database queries and schemas for high-throughput workloads.

Skills

Communication
Public speaking
Leadership
Stakeholder mgmt
Cloud architecture

Tools

Azure
OpenShift
Cloud migration

Job description

Energy Innovation Corp in Hamilton, OH is seeking an Azure Engineer to transform vague requests into concrete cloud solutions. The role emphasizes leading migration efforts, architecting fault-tolerant distributed systems, and collaborating with stakeholders across the organization.

You will navigate OpenShift and Azure-based environments, improve performance, and guide teams through modernization. This position offers competitive pay, benefits, and flexible scheduling in a fast-moving,

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