Cloud Infrastructure Engineer (Data Platforms)

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Job Overview

The Cloud Infrastructure Engineer (Data Platforms) at Angi is responsible for designing, implementing, and managing scalable cloud infrastructure solutions for data platforms. This role demands a deep understanding of cloud technologies and data architecture to ensure optimal performance, reliability, and security of data systems. The engineer will work collaboratively with cross-functional teams to enhance data strategies, streamline processes, and facilitate the access and retrieval of data for analytical purposes, thereby driving the company’s data-driven initiatives forward.

Job Responsibilities

• Design, deploy, and maintain cloud-based data infrastructure solutions.
• Optimize cloud architecture for performance, scalability, and cost-effectiveness.
• Collaborate with data engineering teams to support data ingestion, processing, and storage solutions.
• Implement security best practices in the cloud environment to protect sensitive data.
• Monitor cloud infrastructure for performance and availability, addressing issues proactively.
• Develop automation scripts for routine tasks and infrastructure management.
• Provide support for troubleshooting and resolving cloud-related incidents.
• Stay current with industry trends and technologies to recommend improvements.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field.
• Minimum of 3 years of experience in cloud infrastructure and data platforms.
• Proficiency in cloud platforms such as AWS, Azure, or Google Cloud.
• Solid understanding of data architecture principles and technologies.
• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
• Strong scripting skills in languages such as Python, Bash, or similar.
• Knowledge of infrastructure as code (IaC) tools like Terraform or CloudFormation.
• Familiarity with data processing frameworks (e.g., Apache Spark, Hadoop).

Technologies & Tools

The Cloud Infrastructure Engineer will utilize various technologies and tools including, but not limited to, Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), Docker, Kubernetes, Terraform, Apache Spark, and SQL. Familiarity with monitoring tools such as Prometheus or CloudWatch is highly beneficial, as well as experience with CI/CD frameworks for deployment automation.

Ideal Candidates

Ideal candidates for the Cloud Infrastructure Engineer (Data Platforms) position are those who thrive in a collaborative environment and possess a strong analytical mindset. They should exhibit exceptional problem-solving skills, an eagerness to learn new technologies, and a commitment to best practices in cloud security and performance optimization. Strong communication skills are essential for effectively collaborating with diverse teams and stakeholders within the organization.