Cloud Infrastructure Architect

Description :

Key Responsibilities :

Cloud Architecture & Strategy :

- Design and implement end-to-end cloud architectures (IaaS, PaaS, SaaS) across multiple platforms (AWS, Azure, GCP).

- Define cloud adoption strategies, migration plans, and reference architectures aligned with business objectives.

- Lead cloud transformation initiatives, ensuring scalability, security, and operational efficiency.

- Provide guidance on hybrid and multi-cloud strategies, integrating on-premises and cloud infrastructure.

MLOps & AI/ML Enablement :

- Design and implement MLOps pipelines to enable AI/ML model deployment, monitoring, and lifecycle management.

- Work with data science and engineering teams to integrate AI/ML workloads with cloud infrastructure.

- Ensure automation, reproducibility, and scalability of ML workflows and model serving platforms.

Data Consolidation & Platform Integration :

- Architect solutions for data consolidation, data lakes, and data warehouses.

- Ensure integration of structured and unstructured data across enterprise systems.

- Collaborate with analytics and business intelligence teams to enable data-driven decision-making.

- Design high-performance, resilient, and secure data pipelines and storage solutions.

Security, Compliance & Governance :

- Implement cloud security best practices, including identity management, encryption, network security, and compliance controls.

- Ensure adherence to industry standards (ISO, SOC2, GDPR, HIPAA as applicable).

- Define governance models, monitoring frameworks, and operational policies.

Technical Leadership & Collaboration :

- Provide technical leadership to cloud, DevOps, and infrastructure teams.

- Review architecture designs, guide implementation, and ensure best practices.

- Collaborate with product, engineering, and data teams to ensure alignment with business requirements.

- Evaluate emerging cloud technologies, tools, and frameworks for adoption.

Performance Monitoring & Optimization :

- Establish KPIs and monitoring frameworks for cloud infrastructure and MLOps workflows.

- Optimize cloud resource utilization, cost efficiency, and performance.

- Lead incident resolution and root cause analysis for cloud infrastructure issues.

Technical Skills & Competencies :

Core Skills :

- Strong expertise in IaaS, PaaS, SaaS architectures and multi-cloud environments.

- Hands-on experience with AWS, Azure, GCP, and hybrid cloud solutions.

- Deep understanding of MLOps frameworks (Kubeflow, MLflow, SageMaker, Azure ML).

- Expertise in data consolidation, data lakes, data warehouses, and cloud-native storage solutions.

- Experience with automation and IaC using Terraform, Ansible, or CloudFormation.

- Knowledge of containerization (Docker, Kubernetes) and microservices architectures.

- Strong grasp of networking, security, identity management, and compliance in cloud environments.

Tools & Platforms :

Cloud Platforms :

- AWS, Azure, GCP

MLOps & AI Tools :

- Kubeflow, MLflow, SageMaker, Azure ML, TensorFlow Serving

Data Platforms :

- Snowflake, Redshift, BigQuery, Databricks, Hadoop ecosystem

Automation & CI/CD :

- Terraform, Ansible, Jenkins, GitLab CI/CD, ArgoCD

Monitoring & Observability :

- Prometheus, Grafana, ELK, CloudWatch