Principal Cloud Engineer

December 10

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Seamless.AI

Artificial Intelligence β€’ Machine Learning β€’ Natural Language Processing β€’ Neuro-Linguistic Programming β€’ Data Science

Description

β€’ As the Principal Cloud Engineer, you will play a pivotal role in leading the architecture, automation, and maintenance of our AWS cloud infrastructure. β€’ Collaborate with cross-functional teams to ensure that our infrastructure scales efficiently, stays secure, and operates at peak performance. β€’ Design, implement, and manage highly scalable, secure, and cost-optimized AWS cloud infrastructure. β€’ Lead the automation of Infrastructure as Code (IAC) using tools like Terraform, CloudFormation, or similar technologies. β€’ Ensure high availability and reliability of systems, implementing disaster recovery and failover strategies. β€’ Collaborate with software development and data teams to optimize cloud architecture for large-scale data systems. β€’ Implement and maintain security best practices, including monitoring, threat detection, and vulnerability mitigation. β€’ Work on optimizing AWS costs while ensuring the infrastructure meets performance and scalability requirements. β€’ Stay current with the latest cloud technologies, and continuously improve the cloud environment with new tools and services. β€’ Provide technical leadership and mentorship to other engineers, promoting best practices in cloud operations and architecture. β€’ Monitor and respond to infrastructure incidents, ensuring timely resolutions and minimal downtime.

Requirements

β€’ Minimum of 5 years of experience managing AWS cloud infrastructure at scale. β€’ Strong understanding of core AWS services (EC2, S3, RDS, Lambda, VPC, etc.) and expertise in designing and managing multi-region, scalable cloud architectures. β€’ Hands-on experience with Infrastructure as Code (IAC) tools like Terraform or CloudFormation β€’ Proven track record of managing and optimizing cloud costs, using tools like AWS Cost Explorer, Trusted Advisor, or other cost-management platforms. β€’ Experience scaling large data systems (including databases, data lakes, and big data platforms) across distributed cloud environments. β€’ Expertise in disaster recovery planning, implementation, and management within a cloud infrastructure. β€’ Solid understanding of cloud security, including IAM policies, encryption, network security, and proactive threat and vulnerability mitigation strategies. β€’ Experience with monitoring and logging tools (e.g., CloudWatch, ELK stack, Prometheus) to ensure infrastructure health and performance. β€’ Ability to communicate complex technical concepts to a variety of stakeholders, including non-technical team members.

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