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Popular mid-senior DevOps role with broad toolset at a known multinational, leading to high candidate competition.
Enterprise DevSecOps, cloud, IaC and compliance focus makes skills moderately transferable across industries.
Explicit 7+ years, leadership, AI exposure and required IaC/CI/CD/cloud skills create high shortlisting strictness.
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Lead design, build, and optimization of scalable, secure enterprise software systems and cloud platforms across AWS, Azure, and GCP.
Define and implement DevSecOps best practices including CI/CD pipelines, Infrastructure as Code, containerization, and serverless architecture.
Mentor engineering teams, influence technical strategy, and integrate emerging technologies such as generative AI into engineering practices.
Bachelor’s degree in Computer Science, Information Systems, or related technical field.
Minimum 7 years experience in software engineering, DevSecOps, or platform engineering with at least 3 years in a technical leadership role.
Minimum 2 years experience with AI and generative AI technologies or equivalent exposure.
Hybrid work model requiring at least eight days per month onsite at the office.
Senior technical leader with proven experience managing enterprise-scale application and cloud infrastructure operations.
Strong expertise in DevSecOps practices including Terraform, CI/CD tools (Azure DevOps, Jenkins, GitLab CI) and site reliability engineering.
Experienced in driving technical strategy, mentoring teams, and applying generative AI to software engineering challenges.