
Cloud Architecture Specialist
10 hours ago
This position involves the design and implementation of scalable, resilient, and cost-effective cloud architectures. Responsibilities include leading Infrastructure-as-Code initiatives, architecting containerized environments, and building secure cloud networking solutions.
Key Responsibilities- Design and Implement Cloud Architectures: Develop architectures that are scalable, resilient, and cost-effective across multiple platforms.
- Lead Infrastructure-as-Code Initiatives: Utilize Terraform, CloudFormation, and ARM templates to automate infrastructure.
- Architect Containerized Environments: Manage Docker and Kubernetes environments at an enterprise scale.
- Build Secure Cloud Networking Solutions: Design and implement VPCs, load balancers, firewalls, and segmentation for a secure network architecture.
- Drive DevOps Best Practices: Establish CI/CD pipelines and automated deployment strategies.
- Establish Cloud Security Frameworks: Align with industry standards.
- Optimize Cloud Spend: Manage resource utilization and rightsizing.
- Design Data Lake and Big Data Architectures: Support AI/ML workloads with data lake and big data technologies.
- Develop Monitoring and Logging Frameworks: Use Prometheus, Grafana, and ELK stack for monitoring and logging.
Essential Qualifications:
- Bachelor's degree in Computer Science, Engineering, or related technical field.
- 8+ years of experience in cloud architecture, design, and implementation.
- Deep expertise in one or more cloud platforms.
- Proven track record designing and implementing scalable, resilient, and highly available solutions.
- Strong knowledge of cloud networking.
- Hands-on experience with IaC tools.
- Proficiency in containerization and orchestration.
- Solid background in DevOps practices and cloud cost optimization.
- Knowledge of cloud security & compliance standards.
- Experience with data lakes and big data technologies.
- Familiarity with monitoring and logging tools.
Preferred Qualifications:
- Master's degree in Computer Science, Engineering, or related field.
- Multiple cloud certifications.
- Experience with AI/ML infrastructure and MLOps pipelines.
- Advanced knowledge of microservices architecture and service mesh.
- Experience with multi-cloud and hybrid cloud architectures.
- Knowledge of advanced security practices.
- Experience leading technical teams.
This role can be based in various locations including Athens and the San Francisco Bay Area.
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