at Globe Group
Full TimeAt Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.
DUTIES & RESPONSIBILITIES:
Cloud Infrastructure & Automation
Design, deploy, and maintain scalable cloud infrastructure for AI workloads on GCP and AWS.
Leverage Terraform extensively to implement infrastructure as code (IaC), ensuring efficient, repeatable, and reliable deployments.
Continuously optimize cloud resource usage and costs while ensuring infrastructure scalability and reliability.
AI Integration & Model Deployment
Work closely with AI teams to build and manage cloud-based environments for AI model training, validation, and deployment.
Develop and maintain CI/CD pipelines tailored for AI applications, ensuring smooth and automated deployment of models and services.
Ensure high availability and scalability for AI inference endpoints.
Performance Monitoring & Optimization
Implement robust monitoring and alerting solutions (CloudWatch, Stackdriver, Prometheus, Grafana) for AI workloads and cloud infrastructure.
Proactively identify and address performance bottlenecks, optimizing resources to reduce latency and improve system efficiency.
Regularly review performance metrics and recommend improvements for operational excellence.
Security & Compliance
Implement and manage cloud security best practices, including IAM, encryption, vulnerability scanning, and network security.
Ensure compliance with industry standards and regulations (e.g., GDPR, HIPAA) specific to AI and data management.
Collaborate with security teams to conduct regular assessments and integrate security controls into deployment pipelines.
Collaboration & Communication
Partner with cross-functional teams including backend engineers, data scientists, and DevOps teams to ensure cohesive AI platform management.
Communicate effectively across teams to translate complex infrastructure requirements into actionable plans and solutions.
Actively participate in agile methodologies, contributing to sprint planning, retrospectives, and continuous improvement initiatives.
HIRING REQUIREMENTS:
Education
Bachelor's degree in Computer Science, Engineering, Information Systems, or related fields (or equivalent experience).
Experience
2-5 years of experience in cloud engineering, with hands-on experience in GCP and AWS.
Demonstrable expertise with infrastructure as code tools, specifically Terraform.
Experience deploying, managing, and optimizing cloud infrastructure for high-availability applications.
Technical Skills
Solid proficiency in Terraform for infrastructure automation.
Strong hands-on experience with cloud services in GCP (Compute Engine, Kubernetes Engine, BigQuery, Cloud Storage) and AWS (EC2, S3, Lambda, ECS/EKS).
Knowledge of containerization (Docker) and orchestration (Kubernetes).
Familiarity with CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI.
AI & Data Infrastructure
Understanding of AI model lifecycle, model serving, and data-intensive infrastructure.
Exposure to data pipeline technologies (Pub/Sub, Kafka) and familiarity with analytics services.
Portfolio
Evidence of successful cloud infrastructure deployments, ideally showcasing Terraform expertise and cloud automation.
Contributions to projects involving AI integration or complex cloud architectures are highly beneficial.
Equal Opportunity Employer
Globe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.
Globe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here
Make Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.
