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Job Description
Structured overview of role & requirementsAbout This Role
Provide technical leadership and guidance to teams, contractors, and vendors supporting mission-critical Azure cloud environments.
Develop, review, and debug secure production code applying Azure DevOps tools and AI-assisted engineering practices to optimize code quality and delivery.
Drive decisions influencing product design, operational processes, and champion firmwide SDLC frameworks and automation at scale.
Minimum Requirements
5+ years of applied software engineering experience with formal training or certification.
Proven expertise in Azure cloud supporting mission-critical production environments.
Strong hands-on skills in Python, Java, Shell scripting, Git, CI/CD, Terraform, Jenkins, Docker, Kubernetes, and RESTful API design.
Experience applying enterprise-authorized AI-assisted engineering tools in software development and SRE workflows with strong validation and governance practices.
Ideal Candidate Profile
Experienced in leading Azure cloud DevOps initiatives in secure, scalable environments with mission-critical responsibilities.
Skilled in integrating AI-assisted capabilities responsibly into software development and operational workflows with a focus on security and compliance.
Capable of influencing technical decisions and promoting automation and standardization across cross-functional engineering teams.