





Senior, highly specialized platform/AIOps skillset and product/SaaS requirement reduce applicant competition.
Requires deep platform/DevOps, cloud and security expertise, limiting cross-industry transferability.
Explicit 14+ years, product/SaaS mandate and specific DevOps/cloud/IaC/AIOps skills create strict filters.
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Lead and evolve DevOps standards, CI/CD practices, and SDLC guardrails to improve automation, reliability, security, and developer productivity.
Design and scale secure, reusable YAML-first CI/CD pipelines, infrastructure as code, and progressive delivery strategies like Blue/Green and Canary.
Drive AI-assisted DevOps initiatives including custom agents, intelligent pipeline failure analysis, and automated root-cause analysis to enhance productivity and reliability.
14+ years of experience in product/SaaS engineering environments.
Hands-on experience with Azure DevOps, GitHub Actions, Jenkins, Azure and AWS cloud platforms, Terraform, ARM/Bicep, Puppet, Docker, Kubernetes.
Strong expertise in DevSecOps, networking, secure cloud platform design, and policy-as-code integration.
Work Experience Required: 14+ years in product/SaaS engineering as explicitly stated.
Proven senior technical leader capable of influencing engineers and leaders without formal authority.
Experienced in building and scaling DevOps capabilities focused on speed, reliability, security, and cost efficiency.
Able to embed DevOps as an engineering culture through mentorship, automation-first approaches, and continuous improvement.