Aws Cloud Architect

Role & responsibilities

Work Mode: Hybrid (3 Days work from Office)- Subjected to change in future

Work Timings: 5.30 PM IST to 2.30 AM IST( No shift allowance & no rotational shifts)

Responsibilities:

• Develop and implement a comprehensive cloud strategy that aligns with the organization's business goals and objectives.

• Identify opportunities for cloud technology to drive innovation and competitive advantage.

• Design and implement scalable, high-performing AWS-based applications

• Architect and deploy dynamically scalable, highly available, fault-tolerant, and reliable applications on AWS

• Lead the deployment and configuration of cloud infrastructure and services.

• Oversee the migration of on-premises applications and data to cloud platforms.

• Ensure smooth integration of cloud services with existing IT infrastructure.

• Implement cloud security best practices to protect data and applications.

• Ensure compliance with industry standards and regulatory requirements (e.g., GDPR, HIPAA).

• Develop and enforce cloud governance policies and procedures.

• Monitor cloud infrastructure performance and availability.

• Identify and address performance bottlenecks and optimize resource utilization.

• Implement cost-management strategies to optimize cloud spending.

• Develop and implement automation scripts and tools to streamline cloud operations.

• Use Infrastructure as Code (IaC) tools (e.g., Terraform, CloudFormation) for provisioning and managing cloud resources.

• Work closely with development, operations, and security teams to ensure seamless integration and operation of cloud services.

• Provide technical leadership and mentorship to team members and stakeholders.

• Collaborate with vendors and service providers to evaluate and select cloud solutions.

• Stay updated with the latest AWS services and cloud industry trends

• Continuously evaluate and improve cloud architecture and processes.

• Participate in training and certification programs to enhance cloud expertise.

• Design and implement disaster recovery plans and business continuity strategies.

• Ensure regular testing and validation of disaster recovery procedures.

• Maintain detailed documentation of cloud architecture, configurations, and procedures.

• Provide regular reports on cloud performance, security, and cost metrics.

• ETL Tool Integration and Management:

o Integrate and manage ETL tools, like Matillion, to streamline data processes

o Develop and maintain ETL workflows to ensure efficient data transformation and loading.

o Assist & troubleshoot and resolve issues related to ETL processes and data integration.

• AI Platform Management:

o Manage AI platforms such as Dataiku or Databricks, ensuring seamless integration and operation.

o Develop and deploy AI models and workflows on these platforms.

o Troubleshoot and resolve issues related to AI platform operations and integrations.

• API Integration and Troubleshooting:

o Develop and manage API integrations to ensure seamless data flow between systems.

o Troubleshoot and resolve issues related to API integrations.

• Hands-On Experience:

o The role requires 100% hands-on experience in all aspects of cloud architecture, ETL tool integration, AI platform management, and API troubleshooting.

Qualifications we seek in you:

Minimum Qualifications / Skills:

• Bachelors degree in computer science, Information Technology, or a related field (Masters degree preferred).

• Extensive experience in IT operations, cloud architecture, and engineering, with expertise in cloud platforms such as AWS, Azure, or Google Cloud.

• Strong understanding of cloud architecture principles and best practices.

• Proficiency in cloud services, tools, and technologies (e.g., AWS, Azure, GCP).

• Experience with IaC tools (e.g., Terraform, CloudFormation).

• Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).

• Familiarity with DevOps practices and tools (e.g., CI/CD pipelines, Jenkins).

• Strong knowledge of cloud security, networking, and storage solutions.

• Extensive Python experience and API integration troubleshooting.

• Good experience with ETL tool integrations and AI platforms management such as Dataiku or Databricks.

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Preferred Qualifications / Skills:

• Certifications in cloud platforms such as AWS Certified Solutions Architect, Microsoft Certified: Azure Solutions Architect, or Google Cloud Professional Cloud Architect.

• Experience with multi-cloud environments and hybrid cloud solutions.

• Excellent problem-solving and analytical skills.

• Strong communication and interpersonal skills.

• Ability to work effectively both independently and as part of a team.

• Attention to detail and a commitment to delivering high-quality solutions