Principal Cloud Engineer [Remote]

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Cloud Engineer based in United States.

This senior technical leadership role blends cloud architecture design with hands-on engineering execution, focusing on building scalable, secure, and enterprise-grade cloud foundations. The position is responsible for defining reference architectures, engineering standards, and reusable patterns that support global operations across a complex multi-cloud environment. It plays a critical role in enabling AI, data, and application teams by providing robust infrastructure foundations for modern workloads, including containerized services and AI/ML systems. The role requires a strong balance of strategic architectural thinking and practical implementation, with a focus on proving solutions through real-world engineering rather than theoretical design alone. It also involves mentoring engineers, shaping platform governance, and driving operational excellence across reliability, security, and cost efficiency. This is a high-impact individual contributor role with broad influence across engineering teams and enterprise cloud strategy.

Accountabilities:

• Design and implement enterprise cloud reference architectures, standards, and patterns that ensure scalability, security, and consistency across environments
• Build and maintain cloud infrastructure across Azure and AWS, including networking, identity, compute, storage, and platform services
• Develop private networking architectures such as hub-and-spoke models, DNS strategies, and secure connectivity frameworks
• Architect and support container platforms and workloads, including Kubernetes-based environments for application and AI/ML services
• Establish Infrastructure as Code practices using Terraform and develop reusable modules, templates, and CI/CD pipelines
• Build and enforce reliability engineering standards, including SLOs, monitoring, alerting, incident response, and production readiness criteria
• Define governance frameworks for cloud adoption, security controls, cost optimization, and architectural decision-making
• Create and validate proof-of-concept implementations to establish scalable enterprise standards
• Mentor engineers and provide technical leadership across cloud, DevOps, and platform teams

Requirements:

• 10+ years of experience in cloud, platform, or infrastructure engineering, including senior or principal-level responsibility
• Deep expertise in cloud fundamentals such as IAM, networking (VPC/VNet), DNS, load balancing, compute, and storage
• Strong hands-on experience with Azure, including private networking, Entra ID, and related cloud-native services
• Proficiency in Terraform or similar Infrastructure as Code tools (Bicep, CloudFormation)
• Experience with CI/CD systems, Git workflows, and automation pipelines
• Strong containerization experience, particularly Docker and Kubernetes environments
• Ability to design and operate cloud infrastructure supporting AI/ML workloads and data-intensive systems
• Experience defining operational standards such as SLOs, observability, incident management, and production readiness
• Strong communication and leadership skills, with the ability to influence without formal authority
• Experience with cloud governance, security frameworks (SOC2, PCI, CIS), and enterprise architecture practices

Benefits:

• Competitive annual salary range of $160,000–$190,000 USD
• Performance-based bonus eligibility (annual or quarterly depending on structure)
• Comprehensive health coverage including medical, dental, vision, and disability insurance
• Generous paid time off, including vacation, sick leave, holidays, and additional personal days
• 401(k) retirement plan with company match up to 6%
• Paid parental leave and fertility/adoption support benefits
• Remote work flexibility across the United States (excluding Alaska)
• Professional development, certification support, and learning opportunities
• Long-term career benefits including sabbatical eligibility after extended tenure
• Additional wellness, employee assistance, and financial protection programs

How Jobgether works:

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.