Job Description
Job description
Job Title: Solution Architect (Cloud Technology - AWS, Azure, GCP)
Location: Raritan, New Jersey
Client Name: Johnson & Johnson
Job Type: Full-Time
Role Overview
The Solution Architect (Cloud Technology) will be responsible for designing and implementing scalable, secure, and resilient cloud solutions that meet business needs. This role involves deep expertise across cloud platforms such as AWS, Azure, and Google Cloud (GCP) and requires the ability to guide organizations in their cloud journey. The Solution Architect will work closely with cross-functional teams, including developers, DevOps engineers, and business stakeholders, to ensure cloud architecture aligns with the organization’s strategic goals.
Key Responsibilities
Cloud Solution Design: Architect, design, and implement cloud-based solutions across AWS, Azure, and GCP that are scalable, secure, and resilient.
Cloud Strategy Development: Work with leadership and key stakeholders to develop and execute a cloud adoption strategy, ensuring alignment with business and technical objectives.
Multi-Cloud Architecture: Develop multi-cloud architecture patterns and frameworks that optimize performance, cost, and reliability.
Application Migration: Lead efforts to migrate on-premises applications to cloud environments, ensuring seamless transitions and minimal disruption.
Security & Compliance: Ensure that cloud architectures comply with industry security standards (e.g., encryption, IAM, network security) and meet regulatory compliance requirements (e.g., GDPR, HIPAA, SOC 2).
Automation & Optimization: Develop strategies for automating infrastructure deployment, monitoring, and scaling using Infrastructure-as-Code (IaC) tools like Terraform, CloudFormation, and Azure ARM templates.
Collaboration & Stakeholder Engagement: Work closely with development, DevOps, and security teams to ensure cloud solutions are efficiently integrated into CI/CD pipelines and operational environments.
Performance Optimization: Continuously optimize cloud architectures for cost-efficiency, high performance, and fault tolerance.
Cloud Service Evaluation: Stay current with the latest cloud offerings (services, tools, and features) across AWS, Azure, and GCP, and recommend best-fit solutions to meet evolving business needs.
Governance & Best Practices: Establish cloud governance frameworks that ensure consistent application of best practices, including tagging, cost management, and cloud-native service use.
Disaster Recovery & High Availability: Design and implement cloud disaster recovery plans and high-availability architectures that ensure business continuity.
Mentorship & Training: Mentor and guide technical teams in best practices for cloud computing, security, and automation.
Required Experience
• 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
