Azure Cloud Architect & DevSecOps Engineer

Doeren hew

Dallas, Northern (TX, KY)

Hybrid

USD 120,000 - 160,000

Full time

34 hours ago
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Job summary

Doeren Mayhew, a national tax, assurance and advisory firm, seeks a full-time Azure Cloud Solutions Developer / Engineer in Dallas, TX to design and deliver secure, scalable Azure-based solutions for enterprise needs.

You will blend hands-on software engineering with cloud architecture, translating business and technical requirements into observable, cost-optimized systems, driving modernization and automation across data, AI, security and integration.

Qualifications

  • 5+ years designing and implementing Azure cloud solutions in production.
  • Experience applying CAF, Azure Landing Zones, Well-Architected Framework and security-by-design.
  • Proven delivery of enterprise-scale cloud platforms and automation.
  • Ability to communicate architecture tradeoffs and risks to stakeholders.

Responsibilities

  • Design Azure cloud-native solutions across compute, APIs, integration, data, and application platforms; document architecture decisions and implementation guidance.
  • Build secure delivery foundations with Infrastructure as Code, CI/CD, identity, networking, monitoring, policy, and operational controls.
  • Deliver modern data and AI capabilities using Azure data, analytics, search, and machine learning services.
  • Lead technical reviews and collaborate with architecture, security, infrastructure, product, application development, and data engineering teams.

Skills

Azure cloud
Cloud architecture
DevSecOps
Zero Trust
CI/CD

Education

Bachelor's degree in Computer Science / IT / Engineering
Azure Solutions Architect Expert Certification

Job description

Doeren Mayhew, a national tax, assurance and advisory firm, seeks a full-time Azure Cloud Solutions Developer / Engineer in Dallas, TX to design and deliver secure, scalable Azure-based solutions for enterprise needs.

You will blend hands-on software engineering with cloud architecture, translating business and technical requirements into observable, cost-optimized systems, driving modernization and automation across data, AI, security and integration.

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