Cloud Architect

About GlobalLogic

Our client, GlobalLogic, is a global Enterprise Resource Planning (ERP) software provider, specializing in manufacturing and distribution industries. It offers a comprehensive suite of tools to manage business operations, including financial management, supply chain management, and manufacturing execution.

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

Role Overview: Cloud Architect

As a Cloud Architect at GlobalLogic, you will design and implement robust, scalable, and secure cloud-native architectures on Azure that support both high-concurrency ERP modules and intensive ML workloads. This role involves significant leadership in MLOps, Infrastructure as Code, and cross-functional collaboration to deliver cutting-edge solutions.

Required Qualifications

• Experience: 8+ years in Cloud Architecture, with specific experience in MLOps or productionizing ML models.
• Azure Expertise: Deep knowledge of Azure services including AKS, Azure Machine Learning, Azure DevOps, Key Vault, and CosmosDB.
• Technical Stack:
  • Strong proficiency in Python (specifically for ML and backend services).
  • Experience with MLOps tools (e.g., MLflow, Kubeflow, or DVC).
  • Containerization expertise (Docker, Kubernetes, Helm).
• CI/CD: Proven track record of building automated deployment pipelines for both software and models.
• Architecture: Strong understanding of microservices, event-driven architecture, and REST/gRPC API design.

Preferred Skills

• Experience in the ERP sector.
• Knowledge of LLM orchestration frameworks (e.g., LangChain, Semantic Kernel).
• Experience with vector databases and RAG (Retrieval-Augmented Generation) architectures.

Key Responsibilities

• Architectural Leadership: Design and implement robust, scalable, and secure cloud-native architectures on Azure that support both high-concurrency ERP modules and intensive ML workloads.
• MLOps Lifecycle Management: Build and maintain automated end-to-end pipelines for ML model development, training, testing, deployment, and monitoring (CI/CD/CT).
• Infrastructure as Code (IaC): Lead the automation of environment provisioning using Terraform or Bicep, ensuring consistency across development, staging, and production.
• Scalability & Orchestration: Optimize our Kubernetes (AKS) strategy to handle the dynamic scaling requirements of AI agents and microservices.
• Data Strategy: Collaborate with data engineers to design high-performance data lakes and streaming architectures that fuel the AI Studio.
• Security & Compliance: Ensure multi-tenant isolation and data privacy standards are strictly met across the entire cloud and ML stack.
• Cross-Functional Collaboration: Act as the technical bridge between DevOps, Data Science, and Software Engineering teams to streamline the path from model prototype to production.

What We Offer

• Culture of caring: At GlobalLogic, we prioritize an inclusive culture of acceptance and belonging, fostering meaningful connections.
• Learning and development: Committed to your continuous learning and growth with abundant opportunities for skill development and career advancement.
• Interesting & meaningful work: Engage in impactful projects, leveraging your curiosity and problem-solving skills to shape the future.
• Balance and flexibility: We support work-life balance with various functional career areas and flexible work arrangements.
• High-trust organization: Join a safe, reliable, and ethical global company where integrity and trust are paramount.

Key skills/competency

• Cloud Architecture
• Azure Services
• MLOps
• Kubernetes (AKS)
• Python Development
• CI/CD Automation
• Infrastructure as Code (IaC)
• Microservices
• Data Lakes
• Security & Compliance