About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
- 1. Collaborate with Cloud service team, internal teams, and cloud vendors to support infrastructure delivery and deployment activities.2. Perform operating system reinstallation and reboot for cloud servers and bare metal environments.3. Troubleshoot infrastructure issues involving Linux systems, cloud servers, networking, and hardware-related abnormalities.4. Maintain operational data across internal systems including fault ticketing systems, repair records, and infrastructure tracking tools.5. Work with cloud providers to resolve infrastructure incidents and large-scale operational issues.6. Participate in on-call rotations and support incident management activities.7. Monitor cloud infrastructure health, operational alerts, and asset utilization.8. Develop or enhance operational tools, scripts, and automation workflows using Shell or Python.9. Support operational process optimization and standardization initiatives.10. Perform server and cloud network troubleshooting, including TCP/IP, VLAN, DNS, and Ipv6 related issues.11. Support cloud fleet operations and infrastructure performance management.12. Assist with documentation creation, knowledge sharing, and operational reporting.Requirements1. Bachelor’s Degree in Computer Science, Electrical Engineering, or related fields.2. Experience in cloud infrastructure operations, server operations, or data center related environments.3. Strong troubleshooting and analytical skills in Linux and infrastructure environments.4. Experience with automated provisioning and OS deployment technologies such as PXE, iPXE, or provisioning pipelines.5. Familiarity with public cloud platforms such as Oracle, Amazon Web Services, Google, or Microsoft.6. Ability to understand, execute, and write Shell/Bash or Python scripts.7. Familiarity with automation and infrastructure management tools such as Ansible, GitLab CI/CD, Terraform, or cloud SDKs.8. Knowledge of Linux systems, cloud networking, and server lifecycle management.9. Strong understanding of TCP/IP networking concepts including subnetting, VLANs, DNS, IPv6, and basic routing.10. Familiarity with infrastructure monitoring, operational tooling, and incident management processes.11. Strong communication, collaboration, and documentation skills.12. Familiarity with large-scale cloud fleet operations is preferred.13. Experience supporting GPU infrastructure, firmware lifecycle management, or RDMA networking is a plus
Skills Required
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field
- Experience in cloud infrastructure operations, server operations, or data center environments
- Strong troubleshooting and analytical skills in Linux and infrastructure environments
- Experience with automated provisioning and OS deployment technologies such as PXE, iPXE, or provisioning pipelines
- Familiarity with public cloud platforms such as Oracle, Amazon Web Services, Google, or Microsoft
- Ability to understand, execute, and write Shell/Bash or Python scripts
- Familiarity with automation and infrastructure management tools such as Ansible, GitLab CI/CD, Terraform, or cloud SDKs
- Knowledge of Linux systems, cloud networking, and server lifecycle management
- Strong understanding of TCP/IP networking, subnetting, VLANs, DNS, IPv6, and basic routing
- Familiarity with infrastructure monitoring, operational tooling, and incident management processes
- Strong communication, collaboration, and documentation skills
- Familiarity with large-scale cloud fleet operations
- Experience supporting GPU infrastructure, firmware lifecycle management, or RDMA networking
Centific Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Centific and has not been reviewed or approved by Centific.
-
Healthcare Strength — Feedback suggests core medical, dental, and vision coverage is comprehensive, with mental‑health support included. U.S. offerings also include HSA/FSA and are described as solid insurance options.
-
Flexible Benefits — Feedback suggests flexible hours and work‑from‑anywhere options are widely promoted, with flexible PTO available in some contexts. Learning stipends and development programs add adaptable elements to the package.
-
Parental & Family Support — Feedback suggests paid parental leave is explicitly available to all parents. This positions family leave as an accessible component of the overall package.
Centific Insights
What We Do
Zero distance innovation for GenAI creators and industries Expertly engineering platforms and curating multimodal, multilingual data, we empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable AI deployment We a team of over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We bring platforms, partners and 1.8 million vertical domain experts to create high-quality pre-trained datasets, fine-tuned industry-specific LLMs, and RAG pipelines supported by vector databases. These innovations can reduce GenAI costs by up to 80% and bring GenAI solutions to market 50% faster in 230 locales.
