POSITION SUMMARY :

The systems engineer will be responsible for designing, implementing, and maintaining complex IT infrastructure and systems to ensure optimal performance, security, and scalability. This role involves collaborating with cross-functional teams to support enterprise-wide technology initiatives, troubleshoot advanced system issues, and lead infrastructure upgrades and automation efforts.

ROLE OVERVIEW :

- Architect and implement foundational cloud infrastructure to support AI services and scalable applications.

- Collaborate with cross-functional teams to integrate AI workloads into cloud environments.

- Lead cloud strategy, governance, and best practices across development and operations.

- Ensure security, compliance, and performance optimization of cloud solutions.

KEY RESPONSIBILITIES :

- Design and deploy cloud-native solutions on Microsoft Azure.

- Develop and maintain Infrastructure as Code using Terraform and CDK.

- Implement CI/CD pipelines and DevOps practices for cloud environments.

- Support deployment and scaling of AI/ML models and services.

- Conduct cost analysis and resource planning for cloud workloads.

- Ensure robust cloud security and compliance measures.

- Mentor development teams on cloud architecture and AI integration.

QUALIFICATIONS :

- 5+ years of experience in cloud architecture and development, preferably on Azure.

- Strong programming skills in Python and TypeScript.

- Experience with AWS/Azure CDK for infrastructure provisioning.

- Hands-on experience with DevOps tools and practices (e.g., Azure DevOps, GitHub Actions).

- Experience with AI/ML services such as Azure Machine Learning, Foundry, Document Intelligence, and Azure Cognitive Services.

- Familiarity with Azure Content Safety, AI Gateways, and API Gateway Management.

- Proficiency in containerization and orchestration using Docker, ACR, and AKS.

- Excellent problem-solving and communication skills