Cloud Engineering Architect
2 weeks ago
Cloud Engineering Architect.
Job Overview :
We are seeking an experienced Cloud Engineering Architect to lead the design and implementation of our next-generation cloud-based data platform.
You will play a crucial role in shaping our technical strategy, architecture, and best practices to ensure scalability, reliability, and efficiency.
This role requires deep expertise in cloud platforms (AWS, Azure, or GCP) and a strong background in distributed computing principles.
Key Responsibilities :
- Design and implement cloud-native solutions for our new data platform.
- Develop and maintain cloud architecture blueprints, patterns, and best practices.
- Collaborate with product and engineering teams to align cloud strategies with business needs.
- Establish governance frameworks for cloud resource management, security, and compliance.
- Mentor and guide cloud engineers on best practices and solution implementations.
- Stay up to date with emerging cloud technologies and evaluate their impact.
- Optimize cloud infrastructure for performance, cost-efficiency, and reliability.
Qualifications :
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
- 10+ years of experience in product-based companies, with at least 5 years in cloud architecture and engineering.
- Deep expertise in AWS, Azure, or GCP and their cloud services.
- Strong understanding of distributed computing principles and modern data architectures.
- Experience in migrating legacy systems to cloud-native architectures.
- Proficiency in Infrastructure-as-Code (Terraform, CloudFormation).
- Hands-on experience with containerization (Docker, Kubernetes).
- Knowledge of CI/CD pipelines and DevOps best practices.
- Excellent communication skills to convey complex technical concepts to stakeholders.
Preferred Skills :
- Certifications in AWS, Azure, or GCP (e.g, AWS Solutions Architect, Azure Solutions Architect, GCP Professional Cloud Architect).
- Experience with data processing frameworks (Apache Spark, Hadoop, Databricks, Snowflake, Apache Airflow).
- Knowledge of serverless computing and microservices architectures.
- Understanding of data governance and compliance requirements in cloud environments.
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