Solution Architect (AWS, AI, Python)
Tasks
- Apply data modelling partitioning and query optimization
- Apply zero trust networking and API security
- Architect data warehouse and data lake solutions
- Architect real time data streaming using Kinesis Kafka and SQS SNS
- Author requirements document architecture define tests and deploy
- Build and deploy MCP servers and AI agents on AWS
- Define architectural frameworks and reusable blueprints
- Design AWS cloud architectures
- Design CI CD pipelines using infrastructure as code
- Design batch and streaming data pipelines
- Develop generative AI solutions with LLM integration
- Ensure security compliance and governance
- Implement authentication and authorization using OAuth 2.0 OpenID Connect and IAM
- Implement data encryption at rest and in transit using AWS KMS
- Integrate Veracode and SAST DAST into CI CD
- Integrate observability and monitoring frameworks
- Lead proof of concept and proof of value engagements
- Select NoSQL storage patterns using DynamoDB and MongoDB
Perks/Benefits
- DEI focus
- Development opportunities
- Reward and recognition
- Volunteering opportunities
- Wellness
- Work-life balance
Skills/Tech-stack
AI Agents | API Gateway | AWS | AWS CDK | AWS Glue | Agent Orchestration | Athena | Batch Processing | CI/CD | CloudFormation | Data Lake | Data Modelling | Data Warehousing | DynamoDB | EC2 | EMR | Encryption | GRPC | Generative AI | GraphQL | IAM | JWT | KMS | Kinesis | LLM | Lambda | MTLS | Model Context Protocol | MongoDB | NoSQL | OAuth 2.0 | OpenID Connect | Prompt engineering | REST | Redshift | S3 | SNS | SQS | Streaming Analytics | TLS/SSL | Terraform | Veracode
Education
N/A
Roles
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