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Azure Security Engineer Jobs in Michigan (NOW HIRING)

Sr Azure Architect

Detroit, MI

$58 - $75.75/hr

... DevOps practices • Developing and enforcing comprehensive security policies and regular security audits. • Advanced analytics, anomaly detection, and monitoring data for proactive optimization ...

Azure Cloud Architect

Grand Rapids, MI · On-site

$61 - $79.50/hr

... security, cost, and operational realities. You would be joining a small, start-up company where ... You'll work closely with developers and leadership to ensure our cloud platform is reliable ...

Ensure solutions meet compliance, security, and governance requirements. * Collaboration & Delivery ... Experience with CI/CD pipelines (Azure DevOps or GitHub Actions). * Solid understanding of cloud ...

Lead Security Architect

Lansing, MI · On-site

$75 - $95/hr

Partner with engineering teams to integrate security throughout the software development lifecycle ... Security Architecture Azure Security * Google Cloud Platform (GCP) Security Cloud Security ...

Security Platform Engineer

Dearborn, MI · On-site +1

$120K - $190K/yr

... Engineering or a related field and 4 years of experience in the job offered or a related occupation ... Azure AD and managing cloud infrastructure security. 3. Designing secure database schemas and ...

Application Security Analyst

Auburn Hills, MI · On-site

$55.50 - $74.25/hr

Perform security testing: SAST, DAST, IAST, mobile security, and dynamic testing * Analyze ... AWS, Azure, GCP * Containers (Docker, Kubernetes) * Working knowledge of: * Programming/scripting:

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Azure Security Engineer information

See Michigan salary details

$53.6K

$133.2K

$179.1K

How much do azure security engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for azure security engineer in Michigan is $133,156.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,600.00 and $138,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Azure Security Engineer position, and why are they important?

To thrive as an Azure Security Engineer, you need a solid background in cloud security, network protection, and identity management, often supported by experience with Microsoft Azure and a relevant degree in IT or cybersecurity. Familiarity with Azure Security Center, Azure Active Directory, SIEM solutions like Microsoft Sentinel, and certifications such as Microsoft Certified: Azure Security Engineer Associate are highly valued. Strong problem-solving skills, teamwork, and effective communication help Azure Security Engineers successfully interact with cross-functional teams and respond to incidents. These technical and interpersonal abilities are essential for safeguarding cloud environments and ensuring secure business operations.

What are some common daily responsibilities for an Azure Security Engineer?

An Azure Security Engineer typically spends their day monitoring security alerts, implementing cloud-based security controls, and conducting vulnerability assessments within the Azure environment. They collaborate closely with IT teams and developers to design, review, and maintain secure architectures for cloud deployments. In addition, they may respond to security incidents, create and update security documentation, and participate in compliance audits and ongoing improvement efforts. This collaborative and proactive approach helps protect sensitive data and ensures the organization's cloud infrastructure remains resilient against evolving threats.

What is an Azure Security Engineer job?

An Azure Security Engineer is responsible for implementing, managing, and monitoring security solutions within Microsoft Azure environments. They protect cloud-based resources by configuring security controls, managing identity and access, securing data and applications, and responding to security incidents. These professionals work closely with IT and security teams to enforce compliance with industry standards and best practices. Their role often includes using tools like Azure Security Center, Microsoft Defender for Cloud, and Sentinel to identify and mitigate threats.

What are the most commonly searched types of Azure Security Engineer jobs in Michigan? The most popular types of Azure Security Engineer jobs in Michigan are:
What job categories do people searching Azure Security Engineer jobs in Michigan look for? The top searched job categories for Azure Security Engineer jobs in Michigan are:
What cities in Michigan are hiring for Azure Security Engineer jobs? Cities in Michigan with the most Azure Security Engineer job openings:
Security Automation Engineer

Security Automation Engineer

Barracuda Networks Inc.

Ann Arbor, MI

Full-time

Medical, Retirement, PTO

Posted 17 days ago


Job description

Job ID - 27 - 0203
 
Come Join Our Passionate Team! At Barracuda, we make the world a safer place. We believe every business deserves access to cloud-enabled, enterprise-grade security solutions that are easy to buy, deploy, and use. We protect email, networks, data and applications with innovative solutions that grow and adapt with our customers’ journey. More than 200,000 organizations worldwide trust Barracuda to protect them — in ways they may not even know they are at risk — so they can focus on taking their business to the next level. 
We know a diverse workforce adds to our collective value and strength as an organization. Barracuda Networks is proud to be an employer that complies with all applicable national, state and local laws pertaining to nondiscrimination and equal opportunity regardless of race, gender, religion, sex, sexual orientation, national origin, or disability. 
Envision Yourself At Barracuda  
We are currently looking for a talented Security Automation Engineer. This position is responsible for engineering the Barracuda XDR SOAR platform, conducting R&D efforts on forward facing technologies, and executing offensive security operations efforts through the attack/defend lifecycle to test and validate effectiveness of in-place detections. Purple Team members draw from hands-on experience in both offensive and defensive security disciplines to improve the tools, processes, and capabilities of threat detection and response of our SOC. This position requires a strong background in detection engineering with focus on Barracuda XDR SOAR platform. This role requires flexibility and an eagerness to learn new technologies. 
What You’ll Be Working On  
  • Engineering the Barracuda XDR SOAR solution.  
  • Sprint tasks within the SOC Agile Sprint cycle to continuously improve overall SOC maturity level and R&D efforts. 
  • Develop and maintain documentation on new processes, tools, technologies, and on-going R&D efforts. 
  • Integrating various APIs into the SOC tech stack. 
  • Proactive threat hunting amongst partners' networks to identify malicious activity. 
  • Attack and Defend activities to test current detections and develop new detections. 
  • Ensuring MITRE ATT&CK Framework coverage is obtained by XDR detections. 
  • Conduct threat intelligence research. 
  • Train new and current cyber security analysts on existing or new technologies, new or existing processes. 
  • Will be on a rotating 24x7x365 on-call schedule to investigate, triage, and help customers remediate active breaches/incidents. 
  • Designing and implementing AI-driven security automations, including Agentic AI workflows to autonomously investigate, triage, and respond to alerts.
  • Building and maintaining Retrieval-Augmented Generation (RAG) pipelines to enhance threat intelligence enrichment, alert context, and analyst decision-making.
  • Developing and integrating AI agents with SOC tooling (SIEM, SOAR, EDR) to reduce manual effort and improve response times.
  • Leveraging LLMs and AI frameworks to automate repetitive SOC tasks such as alert analysis, ticket generation, and incident summarization.
  • Integrating and managing MCP servers and agent orchestration frameworks to enable scalable, modular AI-driven workflows.
  • Experimenting with and operationalizing machine learning models for anomaly detection, alert prioritization, and signal-to-noise improvement.
  • Driving R&D initiatives focused on applying Generative AI in cybersecurity, including detection engineering, threat hunting, and purple team exercises.
  • Building internal tools and prototypes that combine security data pipelines with AI capabilities to improve SOC efficiency and accuracy. 
What You Bring To The Role  
  • 4-5 years prior cybersecurity or SOC experience 
  • Bachelor's degree or Masters Degree in Cyber Security or Information Security or related field experience. 
  • CIH, CEH, CompTIA Network+ or Security+, or other relevant certification 
  • Experience working with various SOC tools including SIEM, SOAR EDR, email protection, sandboxes, ticketing systems, etc. 
  • Expertise with analyzing attack advanced cyber vectors such as ransomware, Business Email Compromise etc. 
  • Experience responding to active security threats and incidents. 
  • Experience with cloud tools such as AWS, Azure and GCP. 
  • Experience working with APIs. 
  • Experience troubleshooting in a technical environment, analytical, problem-solving skills with SOAR platform. 
  • Customer service experience 
  • Experience with threat intelligence research, IOC gathering, and threat hunting. 
  • Understanding of cybersecurity framework such as NIST, MITRE ATT&CK, etc. 
  • Fundamental understanding of corporate IT environments, including networking, cloud infrastructure, etc. 
  • Excellent verbal and written communication skills. 
  • Hands-on experience building or working with Agentic AI systems, including multi-step autonomous workflows and tool-using agents.
  • Experience implementing RAG architectures, including vector databases, embeddings, and context retrieval strategies.
  • Familiarity with LLMs (e.g., OpenAI, open-source models) and their application in cybersecurity use cases.
  • Experience integrating AI into production environments, including API orchestration and automation pipelines.
  • Exposure to MCP servers, agent frameworks, or similar orchestration systems for managing AI-driven workflows.
  • Strong understanding of how to apply AI/ML to security operations problems such as alert fatigue, threat detection, and incident response.
  • Ability to evaluate and tune AI outputs for accuracy, reliability, and security relevance in a SOC environment. 
 
What you’ll get from us 
 
A team where you can voice your opinion, make an impact, and where you and your experience are valued. Internal mobility – there are opportunities for cross training and the ability to attain your next career step within Barracuda.  
 
  • Equity, in the form of non-qualifying options
  • High-quality health benefits
  • Retirement Plan with employer match
  • Career-growth opportunities
  • Flexible Time Off and Paid Time Off benefits
  • Volunteer opportunities
The anticipated salary range for this role is 105,000 to 140,000 OTE. Actual compensation offered will be dependent upon the individual's skills, experience, and qualifications as they directly relate to the requirements of the position, the budget for the position, and applicable employment laws.
At Barracuda, we believe in fair and equitable compensation practices that reflect both market realities and the unique circumstances of each geographical location. We recognize that cost-of-living disparities, market conditions, and other factors can significantly impact compensation expectations in different regions. The compensation range provided in this job description is for illustrative purposes only and may not reflect the actual compensation offers for the position in your location. Final compensation will be determined based on a variety of factors including the candidates’ qualifications and experience.
 
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