Back
Tier-1 brand, metro location, and mid-level platform role create moderate competition.
Core platform engineering skills transfer across industries, though regulated-pharma experience is beneficial.
Explicit minimum experience and mandatory cloud/IaC/CI-CD/security skills make shortlisting stringent.
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 environments using Infrastructure-as-Code (Terraform) and CI/CD pipelines.
Operationalize Microsoft Foundry and Google Vertex AI services to enable secure, scalable AI agentic applications and define standard development patterns and runbooks.
Provide technical leadership by mentoring engineers, collaborating with architecture and security teams, and driving platform reliability, security, and compliance improvements.
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.
Demonstrated hands-on expertise with Microsoft Azure services, cloud architecture, Infrastructure-as-Code (Terraform), and CI/CD pipelines.
Proven ability to implement cloud security best practices and compliance controls.
Experience combining deep platform engineering skills with hands-on development of AI agent applications on Azure and GCP, including Microsoft Foundry and Google Vertex AI.
Demonstrated ability to lead and mentor distributed engineering teams while collaborating cross-functionally with product, architecture, and security groups.
Familiarity with telemetry and observability tools, cloud security compliance frameworks (e.g. SOC2, HIPAA), and operating in regulated environments.