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
DevOps Tech Lead
The DevOps Tech Lead is a hands-on engineer responsible for designing, implementing, and managing a Kubernetes-based platform ecosystem. This role involves developing containerization strategies, enhancing developer workflows, and ensuring high availability and scalability of the Kubernetes infrastructure.
Key Responsibilities:
- Implement platform capabilities and containerization strategies using Kubernetes, Docker, and service mesh.
- Design and manage Kubernetes cluster topology, traffic shaping, APIs, CI/CD pipelines, and observability.
- Automate Kubernetes infrastructure deployment and management.
- Develop self-service platform capabilities for developer workflows, including API management and certificate management.
- Optimize Kubernetes platform for high availability and scalability.
Requirements:
- Bachelor’s Degree required.
- 8+ years of experience in cloud computing development and design.
- 5+ years of experience with Kubernetes (preferably AKS or EKS).
- Strong Infrastructure as Code (IaC) experience on Azure, AWS, or GCP.
- Expertise in Kubernetes, Linux, and CI/CD.
- Proficient in Python and Bash scripting.
- Experience with observability tools like Prometheus, Elasticsearch, Grafana, Datadog, and Dynatrace.
- Solid understanding of Continuous Development and Deployment in Azure/AWS.
- Strong Linux environment experience.
Additional Skills Preferred:
- Familiarity with Azure Arc and Azure IoT Hub.
- Understanding of edge computing.
- Experience with GitOps practices.
- Knowledge of security best practices and compliance for hybrid deployments.
Skills Required
- Bachelor's Degree
- 8+ years of experience in cloud computing
- 5+ years of experience with Kubernetes
- Strong Infrastructure as Code (IaC) experience
- Expertise in Kubernetes and CI/CD
- Proficient in Python and Bash scripting
- Experience with observability tools
- Strong Linux environment experience
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.
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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.
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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.
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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.
