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(ref : hirist.tech)