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Hybrid mid-level DevOps lead with broad, popular skills and enterprise scope increases applicant competition.
DevOps and cloud skills are broadly transferable, but enterprise compliance and AI experience moderately raise domain specificity.
Multiple explicit years, leadership and AI requirements plus mandatory Terraform, cloud, and DevSecOps skills.
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Lead design, build, and optimization of scalable, secure enterprise software and cloud platforms leveraging DevSecOps and infrastructure automation best practices.
Architect and manage multi-cloud infrastructure (AWS, Azure, GCP), CI/CD pipelines, and containerized/serverless solutions while ensuring security compliance and performance.
Mentor engineering teams, influence technical strategy, and integrate generative AI technologies to enhance software capabilities and automation.
Bachelor’s degree in Computer Science, Information Systems, or related technical field.
Minimum 7 years of experience in software engineering, DevSecOps, or platform engineering with at least 3 years in a technical leadership role.
Minimum 2 years of experience with AI and generative AI technologies or equivalent exposure.
Proficiency with Terraform and other IaC tools, scripting languages (e.g., Python), CI/CD tools, and cloud platform architecture (AWS, Azure, GCP).
Experienced senior technical leader with a strong background in enterprise-scale cloud platform architecture and DevSecOps practices.
Demonstrated capability in mentoring teams and driving technical strategies including adoption of emerging technologies such as generative AI.
Comfortable operating across multiple cloud environments and managing complex CI/CD and infrastructure automation workflows.