Cloud Engineer

About this role

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Skills you'll use

What you'll do

• Lead collaborations with architects and teams to design highly scalable and resilient infrastructure solutions on GCP.
• Drive the implementation of advanced Infrastructure as Code (IaC) principles using tools like Terraform or Google Cloud Deployment Manager to automate intricate infrastructure provisioning and management.
• Spearhead the integration of DevOps methodologies, guiding developers to establish sophisticated CI/CD pipelines within the cloud ecosystem.
• Assume a leadership role in implementing and enforcing stringent security measures and ensuring robust compliance with data privacy regulations (e.g., GDPR, HIPAA) in the GCP environment.
• Architect and establish comprehensive monitoring, alerting, and logging solutions to guarantee the continuous health and availability of all infrastructure components.
• Formulate and oversee comprehensive backup and disaster recovery strategies and procedures for mission-critical systems.
• Proactively identify, analyze, and mitigate complex performance bottlenecks, continually optimizing infrastructure for maximum efficiency.
• Take charge of diagnosing and swiftly resolving intricate infrastructure issues, providing expert guidance and support.
• Drive comprehensive documentation of cloud architecture, configurations, and processes, ensuring a clear knowledge repository and promoting thorough system understanding.
• Lead cross-functional collaboration with diverse teams, including data scientists, engineers, analysts, and software developers, ensuring alignment with requirements and delivering innovative solutions.

Who can apply

• 3+ years of hands-on experience with cloud platforms, specifically GCP, showcasing expertise in designing, deploying, and managing cloud-based infrastructure.
• Proficiency in Infrastructure as Code (IaC) tools like Terraform, Deployment Manager, or similar platforms.
• In-depth understanding of GCP services such as Compute Engine, Kubernetes Engine, Cloud Storage, Networking, and IAM, coupled with familiarity in container orchestration using Kubernetes.
• Experienced in deploying and optimizing Google Cloud Data services such as BigQuery, Cloud SQL, Dataflow, Firestore, Cloud Bigtable, Dataproc, and Pub/Sub for efficient data storage, processing, and analytics within GCP environments.
• Skilled in scripting languages like Python and Bash for automation and configuration management, and proficient in managing both Linux and Windows OS.
• Strong grasp of security best practices, compliance frameworks (e.g., CIS, GDPR, HIPAA), and experience implementing them.
• Excellent problem-solving, communication, and collaboration abilities, both independently and within teams.
• Passion for technology and continuous learning.
• GCP Professional Cloud Architect or Google Cloud Associate Cloud Engineer certification (preferred).
• A Bachelor’s degree in Computer Science, Computer Engineering, or related or equivalent work experience required.

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