Back
Tier-1 brand, mid-level DevOps role, metro locations, and broad cloud/tool requirements drive high competition.
Role needs specialized platform and cloud engineering skills but remains transferable across industries with similar cloud stacks.
Explicit 4+ years plus mandatory cloud, IaC, CI/CD and security requirements produce high shortlisting strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design, build, and maintain scalable, highly available Microsoft Azure and Google GCP cloud environments using Infrastructure-as-Code (Terraform) and CI/CD pipelines.
Operationalize and support AI/ML services such as Microsoft Foundry and Google Vertex AI for agentic AI applications, including defining standards and operational runbooks for development teams.
Provide technical leadership by mentoring engineers, driving platform reliability through incident management, and collaborating with architecture, security, and product teams to shape platform roadmap.
Bachelor's degree in Computer Science, Engineering, Statistics, or related field (or equivalent practical experience).
4+ years of experience in platform engineering, DevOps, or infrastructure-focused roles.
Hands-on expertise with Microsoft Azure services and cloud architecture.
Experience with Infrastructure-as-Code tools (e.g., Terraform) and CI/CD pipelines (e.g., GitHub Actions).
Experienced in building and operating enterprise cloud platforms with strong focus on security, governance, and cost management in regulated environments.
Proficient in integrating and operationalizing AI/ML cloud services like Microsoft Foundry and Google Vertex AI, with knowledge of observability frameworks for AI agents.
Capable of balancing strategic leadership with hands-on engineering, mentoring distributed teams, and collaborating across stakeholders to deliver scalable AI platform solutions.