Cloud Developer

About the role

A Little About Us
Yahoo is committed to building brands people love and serves as a trusted guide for hundreds of millions of people globally. Our products include the Yahoo Homepage (www.yahoo.com), and Comscore #1 sites in News, Sports and Finance. The Core Platform team is building the industry-leading next-generation AI-powered cloud platforms, services and tools that underpin our products.

Responsibilities

• Develop and enhance Terraform modules to standardize cloud features across Yahoo’s global infrastructure.
• Configure and automate Helm deployments for services hosted in Kubernetes.
• Design and deploy AI-driven troubleshooting systems and cost optimization features that use machine learning to proactively manage cluster health.
• Build and maintain intelligent onboarding agents (LLM-based) that guide developers through seamless cloud application configuration and deployment.
• Implement AI-augmented development workflows, utilizing tools like GitHub Copilot or Cursor to accelerate code generation, refactoring, and documentation.
• Identify and implement AI-driven efficiencies to replace manual or repetitive infrastructure management tasks with autonomous workflows.
• Diagnose, resolve, and prevent production issues using a combination of Kubernetes expertise and AI-powered diagnostic tools.
• Implement and maintain observability stacks (Prometheus, Grafana) to provide high-fidelity data for predictive AI models.
• Write clear, concise engineering documentation and mentor junior engineers on cloud best practices and AI-assisted coding standards.

Qualifications

• 3+ years of professional experience with a BS/MS in Computer Science or equivalent.
• Experience working with AWS or GCP public cloud environments.
• Strong knowledge of cloud fundamentals including automation workflows, application deployments, monitoring, networking, and IAM.
• Strong proficiency with Kubernetes (cluster management, operators, CRDs, Helm, GitOps).
• Experience with prompt engineering or structured interaction with LLMs to accelerate development tasks.
• Ability to evaluate, refine, and validate AI-generated code and infrastructure templates for security and performance.
• Knowledge of observability tooling (OpenTelemetry, etc.) for collecting and structuring data for AI/ML model consumption.
• Skilled in identifying performance bottlenecks and determining root causes in distributed cloud systems.
• Knowledge of Service mesh technologies (e.g., Istio) and IP networking (DNS, Load Balancing) is preferred.
• Programming experience in Go and experience with Terraform is preferred.