Note: The job is a remote job and is open to candidates in USA. Yahoo is committed to building brands people love and serves as a trusted guide for hundreds of millions of people globally. They are seeking an experienced Cloud Developer to enhance their AI-powered cloud platforms and services, focusing on automation, developer productivity, and robust infrastructure management. The role involves developing Terraform modules, configuring Kubernetes deployments, and implementing AI-driven solutions for operational efficiency.
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
Skills
- 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
Benefits
- Incentive compensation opportunities in the form of discretionary annual bonus or commissions
- Healthcare
- A great 401k
- Backup childcare
- Education stipends
Company Overview
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