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Required Skills
Python
Terraform
Git
Azure
Job Title: Azure Automation & DevOps Engineer
About the Role
We’re looking for an Azure Automation & DevOps Engineer who can build, maintain, and improve automation across our cloud environment. This role combines hands‑on scripting, Azure DevOps practices, and conversational AI automation. You’ll work in a hybrid setup, collaborating with cloud engineers, developers, and operations teams to streamline processes, reduce manual work, and support modern automation initiatives.
Key Responsibilities
- Build and maintain automation using PowerShell, Azure Automation Runbooks, Logic Apps, and Functions.
- Support CI/CD pipelines in Azure DevOps, including build, release, and deployment automation.
- Develop and maintain infrastructure‑as‑code using ARM (based on team standards).
- Create and manage automation workflows for provisioning, monitoring, patching, and routine operational tasks.
- Work with Conversational AI tools (Azure Bot Service, Power Virtual Agents, Copilot Studio) to automate user interactions and service requests.
- Integrate bots and automation with backend systems using APIs, webhooks, and Azure services.
- Troubleshoot automation failures, pipeline issues, and script errors; implement long‑term fixes.
- Collaborate with cloud, security, and application teams to ensure automation follows best practices.
- Maintain documentation for scripts, workflows, pipelines, and automation processes.
- Support governance, standards, and reusable automation frameworks across the organization.
Core Skills & Technical Knowledge
Azure Automation
- PowerShell scripting (advanced level).
- Azure Automation Runbooks (PowerShell & Python).
- Logic Apps, Functions, Event Grid, and Automation Accounts.
- Azure Monitor alerts, action groups, and automated remediation.
DevOps
- Azure DevOps Pipelines (YAML or Classic).
- Git branching, version control, and code reviews.
- CI/CD for applications, infrastructure, and automation.
- Experience with IaC tools (ARM, Bicep, Terraform).
Conversational AI & Automation
- Azure Bot Service or Power Virtual Agents.
- Copilot Studio or similar conversational AI tools.
- API integrations, REST endpoints, and backend automation.
- Ability to design simple conversational flows and automate service requests.
General Cloud & Ops Skills
- Azure resource management and governance basics.
- Understanding of networking, identity, and security fundamentals.
- Familiarity with monitoring, logging, and incident response workflows.
Qualifications
- 3–6+ years of experience in Azure automation, DevOps, or cloud engineering.
- Strong PowerShell,Python scripting background.
- Hands‑on experience with Azure DevOps pipelines.
- Exposure to conversational AI tools or willingness to learn.
- Experience working in hybrid or Agile environments.
- Good communication skills and ability to work with cross‑functional teams.
Nice to Have
- Experience with Microsoft Graph API.
- Knowledge of Python for automation.
- Familiarity with ServiceNow integrations or workflow automation.
- Experience building reusable automation frameworks.
- Azure certifications (AZ‑104, AZ‑204, AZ‑400, AI‑102).
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About Johnson Controls

Johnson Controls
Series BMaking buildings smarter.
Cork
Headquarters
Reviews
3.7
42 reviews
Work Life Balance
3.7
Compensation
4.0
Culture
3.9
Career
3.6
Management
3.6
74%
Recommend to a Friend
Pros
Good work-life balance and flexible environment
Competitive compensation and benefits
Opportunity for career growth
Cons
Work-life balance varies by team
Room for improvement in processes
Internal communication could improve
Salary Ranges
920 data points
Junior/L3
Junior/L3 · Data Scientist
0 reports
$128,000
total / year
Base
$128,000
Stock
-
Bonus
-
$108,800
$147,200
Interview Experience
5 interviews
Difficulty
2.2
/ 5
Duration
14-28 weeks
Offer Rate
20%
Experience
Positive 40%
Neutral 40%
Negative 20%
Interview Process
1
Application Review
2
HR Screen
3
Technical/Aptitude Assessment
4
Hiring Manager Interview
5
Onsite/Virtual Interview
6
Offer
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Role-Specific Skills
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