Cloud Engineer (GDC)
Overview of Role
As a Cloud & Edge Engineer at 66degrees, you will bridge the gap between centralized cloud power and localized edge intelligence. You will design, build, and maintain complex infrastructure on Google Cloud Platform (GCP) and Google Distributed Cloud (GDC) for global clients, with a specific focus on Manufacturing Edge environments. You will be instrumental in optimizing performance, scalability, and security from the data center to the factory floor.
Responsibilities
Core Responsibilities
Infrastructure Leadership: Design and deploy highly scalable, resilient infrastructure solutions using GCP and GDC.
Advanced Automation: Drive the implementation of Infrastructure as Code (IaC) using Terraform or Google Cloud Deployment Manager to automate intricate provisioning across cloud and edge.
Edge & Manufacturing Excellence: Implement and support Manufacturing Edge Connect use cases, ensuring seamless integration between industrial hardware and the cloud.
Data Architecture: Develop and maintain Data Hub architectures for centralized data ingestion, processing, and analytics.
DevOps & CI/CD: Spearhead the integration of DevOps methodologies, guiding developers to establish sophisticated CI/CD pipelines.
Security & Compliance: Enforce stringent security measures and ensure robust compliance (GDPR, HIPAA, CIS) across distributed environments.
Monitoring & Resilience: Establish comprehensive monitoring, alerting, and logging; formulate disaster recovery procedures for mission-critical systems.
Cross-Functional Collaboration: Partner with data scientists, industrial engineers, and software developers to deliver end-to-end solutions that align with complex business requirements.
Qualifications
1. Cloud & Edge Expertise
4+ years of hands-on experience with GCP, showcasing expertise in designing, deploying, and managing cloud-based infrastructure.
Direct experience with Google Distributed Cloud (GDC) and deploying solutions in edge/industrial environments.
Proficiency in Kubernetes (GKE) and container orchestration at scale.
2. Data & Networking
Data Services: Skilled in optimizing BigQuery, Cloud SQL, Dataflow, Firestore, Bigtable, Dataproc, and Pub/Sub.
Edge Integration: Proven ability to integrate edge systems with cloud platforms ensuring secure, low-latency, and scalable data flow.
Networking: Strong understanding of hybrid connectivity, VPCs, and secure edge-to-cloud networking.
3. Automation & Scripting
Expertise in Terraform or similar IaC tools.
Proficiency in Python or Bash for automation and configuration management.
Comfortable managing both Linux and Windows operating systems.
4. Soft Skills & Education
Problem-Solving: Ability to diagnose and resolve intricate infrastructure bottlenecks under pressure.
Communication: Excellent ability to translate complex technical concepts for diverse stakeholders.
Education: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
Certifications: GCP Professional Cloud Architect or Associate Cloud Engineer (Highly Preferred).