Devops Architect

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 ecosystemcomprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 marketsto 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

The DevOpsArchitect is a hands-on engineer responsible for designing, implementing, and managing Kubernetes-based platform ecosystem and solutions for organization. This includes developing and implementing containerization strategies, developer workflows, designing and deploying Kubernetes platform, and ensuring high availability and scalability of Kubernetes infrastructure aligned with modern CI/CD practices.

Key Responsibilities:

Implement platform capabilities and containerization strategies using Kubernetes, Docker, service mesh and other modern containerization tools and technologies.

K8s Cluster topology, traffic shaping, API, CI CD, and observability aligned with DevSecOps principles.

Automate Kubernetes infrastructure deployment and management using tools such as Azure DevOps, Terraform, Helm Charts and self-service platform workflows.

Develop self-service platform capabilities focused on developer workflows such as API, service mesh, external DNS, cert management and K8s life cycle management in general.

Optimize Kubernetes platform infrastructure for high availability and scalability.

What we are looking for:

Bachelor's Degree required.

8+ years of progressive experience in a combination of development, design in areas of cloud computing.

5+ years of experience in developing cloud native platform capabilities based of Kubernetes (Preferred Azure Kubernetes Services/Amazon EKS).

Strong Infrastructure as a Code (IaC) experience on public Cloud (Azure/AWS/GCP.)

Expertise in building automated platform using tools like Kubernetes, Istio, Linux, Helm, Terraform, Rancher, CI/CD.

Good development experience with Python/Bash/Groovy script

Good API development experience with Python

Observability integration in AKS/EKS through tools such as Prometheus, Elasticsearch, Grafana, Datadog, Dynatrace.

Must have a solid understanding of Continuous Development and Deployment in Azure/AWS.

Strong experience working with Linux environment.