Principal Cloud Engineer - Remote US

Job Description

Seamless.AI is seeking a Principal Cloud Engineer to lead the architecture, automation, and maintenance of their AWS cloud infrastructure. The ideal candidate will collaborate with cross-functional teams to ensure the infrastructure scales efficiently, remains secure, and operates at peak performance. This role requires expertise in AWS services, infrastructure automation, and a deep understanding of cost optimization, security best practices, and disaster recovery strategies.Responsibilities include:

• Designing, implementing, and managing highly scalable, secure, and cost-optimized AWS cloud infrastructure.
• Leading the automation of Infrastructure as Code (IAC) using tools like Terraform, CloudFormation, or similar technologies.
• Ensuring high availability and reliability of systems, implementing disaster recovery and failover strategies.
• Collaborating with software development and data teams to optimize cloud architecture for large-scale data systems.
• Implementing and maintaining security best practices, including monitoring, threat detection, and vulnerability mitigation.
• Optimizing AWS costs while ensuring the infrastructure meets performance and scalability requirements.
• Staying current with the latest cloud technologies and continuously improving the cloud environment with new tools and services.
• Providing technical leadership and mentorship to other engineers, promoting best practices in cloud operations and architecture.
• Monitoring and responding to infrastructure incidents, ensuring timely resolutions and minimal downtime.

Requirements include:

• Minimum of 7 years of experience managing AWS cloud infrastructure at scale.
• Strong understanding of core AWS services (EC2, S3, RDS, Lambda, VPC, etc.) and expertise in designing and managing multi-region, scalable cloud architectures.
• Hands-on experience with Infrastructure as Code (IAC) tools like Terraform or CloudFormation.
• Proven track record of managing and optimizing cloud costs, using tools like AWS Cost Explorer, Trusted Advisor, or other cost-management platforms.
• Experience scaling large data systems (including databases, data lakes, and big data platforms) across distributed cloud environments.
• Expertise in disaster recovery planning, implementation, and management within a cloud infrastructure.
• Solid understanding of cloud security, including IAM policies, encryption, network security, and proactive threat and vulnerability mitigation strategies.
• Experience with monitoring and logging tools (e.g., CloudWatch, ELK stack, Prometheus) to ensure infrastructure health and performance.
• Ability to communicate complex technical concepts to a variety of stakeholders, including non-technical team members.
• Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent years of work experience.

Seamless.AI offers:

• A remote work environment.
• Opportunity to work with a fast-growing company.