Overview of 66degrees
66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.
At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.
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
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Core Responsibilities
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Infrastructure Leadership: Design and deploy highly scalable, resilient infrastructure solutions using GCP and GDC.
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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.
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Edge & Manufacturing Excellence: Implement and support Manufacturing Edge Connect use cases, ensuring seamless integration between industrial hardware and the cloud.
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Data Architecture: Develop and maintain Data Hub architectures for centralized data ingestion, processing, and analytics.
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DevOps & CI/CD: Spearhead the integration of DevOps methodologies, guiding developers to establish sophisticated CI/CD pipelines.
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Security & Compliance: Enforce stringent security measures and ensure robust compliance (GDPR, HIPAA, CIS) across distributed environments.
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Monitoring & Resilience: Establish comprehensive monitoring, alerting, and logging; formulate disaster recovery procedures for mission-critical systems.
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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
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1. Cloud & Edge Expertise
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4+ years of hands-on experience with GCP, showcasing expertise in designing, deploying, and managing cloud-based infrastructure.
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Direct experience with Google Distributed Cloud (GDC) and deploying solutions in edge/industrial environments.
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Proficiency in Kubernetes (GKE) and container orchestration at scale.
2. Data & Networking
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Data Services: Skilled in optimizing BigQuery, Cloud SQL, Dataflow, Firestore, Bigtable, Dataproc, and Pub/Sub.
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Edge Integration: Proven ability to integrate edge systems with cloud platforms ensuring secure, low-latency, and scalable data flow.
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Networking: Strong understanding of hybrid connectivity, VPCs, and secure edge-to-cloud networking.
3. Automation & Scripting
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Expertise in Terraform or similar IaC tools.
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Proficiency in Python or Bash for automation and configuration management.
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Comfortable managing both Linux and Windows operating systems.
4. Soft Skills & Education
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Problem-Solving: Ability to diagnose and resolve intricate infrastructure bottlenecks under pressure.
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Communication: Excellent ability to translate complex technical concepts for diverse stakeholders.
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Education: Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
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Certifications: GCP Professional Cloud Architect or Associate Cloud Engineer (Highly Preferred).
66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.
AI Transparency & Disclosure
As an AI transformation partner, 66degrees leverages intelligent solutions to enhance our recruitment experience. We utilize AI tools—including LinkedIn Recruiter’s Hiring Assistant and interview transcription technologies—to assist with sourcing, role analysis, and capturing interview highlights.
These tools augment our process, but we "Commit to Our Craft" by ensuring all final hiring decisions are made by our human Talent Team. By applying, you acknowledge the use of these technologies to help us "Win Together" in finding the best fit for our team.
