The Dignify Solutions LLC
Regulatory Solutions Architect
The Dignify Solutions LLC - Raritan, New Jersey, us, 08869
Work at The Dignify Solutions LLC
Overview
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Overview
10+ years of experience in IT architecture, with at least 5 years focusing on cloud solutions architecture.
Strong hands-on experience architecting and deploying applications on AWS, Azure, and GCP.
Proven experience with cloud migration projects and designing hybrid cloud environments.
Experience in creating and maintaining complex multi-cloud architectures for large enterprises.
Expertise in cloud-native technologies such as serverless (AWS Lambda, Azure Functions), containerization (Kubernetes, Docker), and microservices architectures.
Knowledge of Governance and Compliance frameworks.
Technical Skills: AWS:
Experience with key services like EC2, RDS, S3, Lambda, IAM, CloudFront, and VPC design. Azure:
Proficiency in Azure Virtual Machines, Azure DevOps, Azure Functions, Azure SQL Database, and Azure Kubernetes Service (AKS). GCP:
Familiarity with Compute Engine, BigQuery, Cloud Functions, and GKE (Google Kubernetes Engine). DevOps & Automation:
Experience with CI/CD tools such as Jenkins, GitLab, and cloud automation tools like Terraform, Ansible, CloudFormation. Security & Networking:
Strong knowledge of cloud networking concepts (VPC, Subnets, VPN, DNS), IAM, encryption, and identity management solutions. Monitoring & Logging:
Familiarity with cloud monitoring tools (e.g., AWS CloudWatch, Azure Monitor, Google Stackdriver) and logging frameworks Database:
Knowledge of both SQL and NoSQL databases such as DynamoDB, CosmosDB, and Cloud SQL. Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field. Certifications such as AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or Microsoft Certified Azure Data Engineer. Strong problem-solving and analytical thinking with experience in delivering strategic data solutions. Excellent communication skills to interact with both technical and non-technical stakeholders.
Technical Skills: AWS:
Experience with key services like EC2, RDS, S3, Lambda, IAM, CloudFront, and VPC design. Azure:
Proficiency in Azure Virtual Machines, Azure DevOps, Azure Functions, Azure SQL Database, and Azure Kubernetes Service (AKS). GCP:
Familiarity with Compute Engine, BigQuery, Cloud Functions, and GKE (Google Kubernetes Engine). DevOps & Automation:
Experience with CI/CD tools such as Jenkins, GitLab, and cloud automation tools like Terraform, Ansible, CloudFormation. Security & Networking:
Strong knowledge of cloud networking concepts (VPC, Subnets, VPN, DNS), IAM, encryption, and identity management solutions. Monitoring & Logging:
Familiarity with cloud monitoring tools (e.g., AWS CloudWatch, Azure Monitor, Google Stackdriver) and logging frameworks Database:
Knowledge of both SQL and NoSQL databases such as DynamoDB, CosmosDB, and Cloud SQL. Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field. Certifications such as AWS Certified Solutions Architect, Google Cloud Professional Data Engineer, or Microsoft Certified Azure Data Engineer. Strong problem-solving and analytical thinking with experience in delivering strategic data solutions. Excellent communication skills to interact with both technical and non-technical stakeholders.