Key skills
AWSCloudEC2PythonTerraformAICloudFormationLambdaS3RDSIAMCollaboration
About this role
Role Overview
- Design complex, scalable, and secure AWS architectures based on client requirements
- Create migration strategies for applications, data centers, networks, and workloads
- Define infrastructure patterns and reusable frameworks for cloud adoption
- Lead the deployment of AWS services such as EC2, VPC, IAM, S3, RDS, Lambda
- Execute large-scale migrations of applications, data, and networks
- Troubleshoot issues during delivery and guide teams in implementing best practices
- Work directly with client stakeholders to gather requirements and validate designs
- Provide guidance on industry trends, cloud capabilities, and modernization approaches
- Communicate complex technical concepts to both technical and non-technical audiences
- Mentor junior consultants and share best practices internally
- Develop documentation, templates, and repeatable assets for future engagements
- Support internal learning and cloud capability development within Solvd.
Requirements
- 5 or more years of experience in cloud architecture and implementation
- Bachelor’s degree in Computer Science, Engineering, or equivalent experience
- 5 or more years leading application or data center migrations to cloud
- 5 or more years of experience with cloud networking design and migration
- Strong proficiency across AWS services such as EC2, S3, RDS, Lambda, IAM, VPC, and CloudFormation
- AWS Professional-level certifications such as Solutions Architect Professional or DevOps Engineer Professional
- Hands-on experience with automation and scripting using Terraform or Python
- Understanding of security and compliance frameworks such as HIPAA or GDPR
- Familiarity with Federal Government security standards including ICD 503, FISMA, and FedRAMP
- Experience managing highly available data center operations including networking, compute, and storage.
Tech Stack
- AWS
- Cloud
- EC2
- Python
- Terraform
Benefits
- Shape real-world AI-driven projects across key industries.
- Be part of a global team with equal opportunities for collaboration across continents and cultures.
- Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.