Connektika Technology Solutions | AI Azure Cloud Infrastructure Architect | bangalore
21 hours ago
As an AI Azure Cloud Infrastructure Architect, you will play a pivotal role in shaping our organisation's technological future. You will be responsible for designing, implementing, and managing complex AI-powered solutions on the Microsoft Azure platform. Your expertise will be instrumental in ensuring the scalability, reliability, and security of our critical infrastructure.
Key Responsibilities:
Cloud Architecture:
- Design and implement robust and scalable cloud architectures on Azure, leveraging a variety of services such as Azure Compute, Storage, Networking, and Security.
- Develop and maintain comprehensive cloud infrastructure documentation, including diagrams, scripts, and procedures.
- Collaborate with cross-functional teams to define and implement cloud strategies aligned with business objectives.
AI Infrastructure:
- Architect and deploy AI and machine learning solutions, including data pipelines, model training, and inference pipelines.
- Optimise AI workloads for performance and cost-efficiency by leveraging Azure AI services like Azure Machine Learning, Azure Cognitive Services, and Azure Synapse Analytics.
- Stay up-to-date with the latest advancements in AI and machine learning technologies and incorporate them into our solutions.
Security and Compliance:
- Implement robust security measures to protect sensitive data and infrastructure, adhering to industry best practices and compliance standards.
- Conduct regular security assessments and vulnerability scans to identify and mitigate potential threats.
- Stay informed about emerging security threats and vulnerabilities and implement appropriate countermeasures.
Automation and DevOps:
- Automate infrastructure provisioning, configuration, and deployment using Infrastructure as Code (IaC) tools like Azure DevOps, Terraform, or Ansible.
- Implement continuous integration and continuous delivery (CI/CD) pipelines to streamline the development and deployment process.
- Monitor system performance, identify bottlenecks, and implement optimization strategies.
Collaboration and Leadership:
- Collaborate with data scientists, software engineers, and other stakeholders to understand their requirements and translate them into technical solutions.
- Mentor and guide team members on cloud technologies, AI, and best practices.
- Provide technical leadership and expertise to drive innovation and solve complex technical challenges.
Required Qualifications:
- Strong understanding of cloud computing concepts, particularly Microsoft Azure.
- Proven experience in designing, implementing, and managing complex cloud infrastructures.
- Deep knowledge of AI and machine learning concepts, including data pipelines, model training, and deployment.
- Proficiency in scripting languages (Python, PowerShell) and infrastructure as code tools (Terraform, Ansible).
- Experience with Azure DevOps or similar CI/CD tools.
- Strong understanding of security best practices and compliance standards.
- Excellent problem-solving and troubleshooting skills.
- Strong communication and interpersonal skills.
- A passion for emerging technologies and a continuous learning mindset.
- Azure certifications (e.g., Azure Solutions Architect Expert, Azure DevOps Engineer Expert).
- Experience with containerization technologies (Docker, Kubernetes).
- Knowledge of big data technologies (Hadoop, Spark, Databricks).
- Experience with serverless computing (Azure Functions, Azure App Service).
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bangalore, India Connektika Technology Solutions Full timeAs an AI Azure Cloud Infrastructure Architect , you will play a pivotal role in shaping our organisation's technological future. You will be responsible for designing, implementing, and managing complex AI-powered solutions on the Microsoft Azure platform. Your expertise will be instrumental in ensuring the scalability, reliability, and security of our...
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