Role Overview

The Principal Cloud Engineer plays a key role in designing, implementing, and operating cloud platform capabilities that support reliable, secure, and efficient software delivery at scale. This role requires strong technical depth, a high degree of ownership, and the ability to influence platform direction while partnering closely with application teams and cross-functional stakeholders.

Key Responsibilities

- Design, build, and maintain scalable, secure, and highly available cloud platform solutions.
- Own and improve CI/CD pipelines, deployment automation, and infrastructure-as-code to enable consistent and reliable delivery.
- Drive operational excellence through proactive monitoring, alerting, incident response, and continuous reliability improvements.
- Lead analysis and resolution of complex platform and production issues, including participating in on-call and after-hours support when required.
- Design, build, and deploy machine learning models and AI systems at scale.
- Develop pipelines for data ingestion, training, validation, and inference.
- Develop CI/CD pipelines for AI/ML and platform services.
- Build and maintain cloud-native infrastructure (AWS/Azure/GCP) using IaC tools (Terraform, ARM, etc.).
- Contribute to architectural decisions related to cloud infrastructure, networking, security, and system reliability.
- Partner with application, security, and compliance teams to establish and enforce platform standards and best practices.
- Identify and address technical debt, operational risks, and scalability concerns within the platform.
- Mentor and support other engineers by sharing knowledge, reviewing designs and code,



and promoting DevOps best practices.
- Continuously assess and improve platform tooling, performance, cost efficiency, and security posture.
- Document platform architecture, operational procedures, and standards to support consistency and knowledge sharing.

Required Qualifications

- 3+ yrs of hands-on experience with CI/CD tooling, automation, and deployment strategies.
- 2+ yrs of experience in AI/ML engineering, SRE, or DevOps roles.
- Solid understanding of containerization and orchestration technologies (eg, Docker, Kubernetes).
- Experience with observability, monitoring, and incident management practices.
- Robust scripting or programming skills (eg, Python, Bash, PowerShell, or similar).
- Demonstrated ability to operate production systems with reliability and security in mind.
- Strong communication skills and ability to collaborate across teams.

Preferred Qualifications

- Experience designing shared platform services or internal developer platforms.
- Familiarity with security best practices, identity management, and compliance controls in cloud environments.
- Experience optimizing cloud cost, performance, and resource utilization.

Engineer Expectations

- Demonstrates consistent ownership of systems and outcomes.
- Takes initiative to identify and solve problems beyond immediate assignments.
- Balances short-term delivery needs with long-term platform health.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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