Cloud Architect

Key Responsibilities:

• Design, deploy, and manage scalable, secure, and reliable cloud infrastructure.

• Implement DevSecOps practices to enhance security across the development lifecycle.

• Automate the deployment, monitoring, and management of cloud-based applications.

• Collaborate with cross-functional teams to ensure seamless integration and continuous delivery.

• Build and manage CI/CD pipelines to streamline development and deployment processes.

• Monitor system performance, troubleshoot issues, and optimize infrastructure for cost and efficiency.

• Ensure adherence to security and compliance best practices across all cloud environments, including permission sets, Service Control Policies (SCPs), and other advanced security principles or Azure policies, RBAC controls.

• Architect and implement robust cloud networking solutions, including VPCs, hub-and-spoke models, and cross-cloud provider connectivity.

• Leverage SecOps technologies like Microsoft Defender, Rapid7, Splunk, or similar tools to enhance system security and visibility.

• Drive cost optimization efforts by analyzing infrastructure usage and implementing strategies to minimize costs while maintaining performance and reliability.

• Stay up-to-date with industry trends and emerging technologies to drive innovation.

• Knowledge of Agentic Development is an advantage

Qualifications:

• Experience of 8-12 years across Infrastructure Automation on Cloud Platforms

• Experience in software development and cloud DevOps (internships, projects, or coursework).

• Strong knowledge of cloud platforms such as AWS, Azure, or Google Cloud.

• Proficiency in cloud networking concepts, including VPC design, subnetting, hub-and-spoke architectures, and hybrid or multi-cloud connectivity.

• Expertise in scripting and automation tools such as Python, Bash, Terraform, Ansible, CloudFormation, Azure ARM, or Pulumi.

• Experience with CI/CD tools like Jenkins, GitLab CI, CircleCI, or GitHub Actions.

• Familiarity with containerization and orchestration tools like Docker and Kubernetes.

• Strong understanding of security best practices, including permission sets and Service Control Policies (SCPs).

• Knowledge of SecOps technologies such as Rapid7, Splunk, or other similar tools.

• Knowledge of Cloud AI Services like AI Foundry or SageMaker or Bedrock is a plus

• Knowledge of Cloud Data Technologies like Azure Synapse, AWS Glue, Snowflake, or Databricks is a plus

• Excellent problem-solving skills and attention to detail.

• Strong communication and collaboration skills.

• Bachelor’s degree in computer science or a related field.

Preferred Qualifications:

• Certifications in cloud technologies (e.g., AWS Certified Solutions Architect, Azure DevOps Engineer Expert).

• Experience with infrastructure as code (IaC) and configuration management.

• Knowledge of Service Catalogs is a plus.

• Knowledge of Azure Dev Center is a plus.

  • Exposure to AI/ML and Generative AI technologies is a plus.