AWS Cloud Architect
First seen by Alion on Sep 9, 2026.
Job Description :
Role : AWS Cloud Architect
Experience : 6 - 9 Years |
We are looking for an experienced AWS Cloud Architect with a strong background in software development, cloud-native architecture, and AI/Generative AI technologies.
The candidate will design scalable, secure, resilient, and cost-effective AWS solutions and drive application modernization from on-premises environments to cloud-native architectures.
Key Responsibilities :
- Design and implement scalable, highly available, secure, and cost-effective AWS cloud architectures.
- Lead application modernization and cloud migration initiatives from on-premises environments to AWS.
- Define target architectures using AWS services such as EKS, ECS, Lambda, API Gateway, S3, RDS/Aurora, DynamoDB, CloudFront, VPC, IAM, EventBridge, SQS/SNS and related services.
- Evaluate applications and recommend modernization strategies including Rehost, Replatform, Refactor and Retire.
- Drive transformation of monolithic applications into microservices and cloud-native applications.
- Provide technical leadership across application architecture, APIs, databases, containers, DevOps and cloud infrastructure.
- Guide development teams on Java/.NET application development and cloud-native engineering best practices.
- Design and implement CI/CD pipelines, Infrastructure as Code and automated deployment mechanisms.
- Apply AWS security best practices covering IAM, encryption, network security, secrets management, logging and monitoring.
- Design for performance, scalability, resilience, disaster recovery and cloud cost optimization.
- Conduct architecture reviews and create HLD, LLD, architecture diagrams and technical documentation.
AI / Generative AI Responsibilities :
- Identify opportunities to leverage AI/ML and Generative AI within application modernization and software engineering.
- Design and integrate AWS AI/ML and GenAI services into enterprise applications.
- Evaluate and integrate LLMs, AI agents, RAG, vector databases and prompt engineering capabilities.
- Explore AI-assisted software engineering use cases such as code modernization, code generation, automated code review, test-case generation, vulnerability detection/remediation and documentation generation.
- Understand LLM orchestration, embeddings, vector search, RAG and AI-agent architecture.
- Apply appropriate security, governance, data privacy and guardrails for enterprise GenAI solutions.
Software Development Background :
- Strong programming experience in Java, .NET, Python or similar languages.
- Experience designing and developing REST APIs and microservices.
- Experience with Spring Boot, .NET Core or equivalent frameworks.
- Strong knowledge of relational and NoSQL databases.
- Experience with Docker and Kubernetes.
- Good understanding of software design principles, design patterns and distributed systems.
- Experience with Git, CI/CD and Agile development practices.
Qualifications :
- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering or a related field.
- 6 - 9 years of professional IT experience, with significant experience in software development and cloud technologies.
- Strong communication, architecture documentation and stakeholder management skills.
- Ability to translate business requirements into scalable technical solutions.
- AWS Solutions Architect - Associate/Professional certification is preferred.
Skills
AWS, Cloud Services, Cloud Architect, Elastic Kubernetes Service, AWS Lambda, Amazon RDS, AIOps, Native Cloud, Cloud Apps, CI/CD Pipeline