Job Title: Amazon Q Developer Lead/Architect

Location: Noida India

Total Experience: 10+ Years

AWS Experience: 5+ Years

GenAI Experience: 2-3 Years

Key Responsibilities:

Amazon Q Developer Enablement

- Lead enterprise adoption of Amazon Q Developer across development teams.
- Design and implement AI-assisted software engineering solutions using Amazon Q Developer.
- Enable developers to leverage AI for code generation, code explanation, documentation, testing, debugging, and optimization.
- Establish best practices, governance, and standards for GenAI-assisted development.

AI-Powered SDLC Transformation

- Integrate Amazon Q Developer into various SDLC phases.
- Drive productivity improvement initiatives through AI-enabled engineering practices.

Application Modernization

- Assess legacy applications and develop modernization strategies using Amazon Q Developer.
- Support code transformation from legacy technologies to modern cloud-native architectures.
- Assist teams in refactoring, performance tuning, and modernization projects.

Cloud & Solution Architecture

- Design scalable, secure, and cloud-native solutions on AWS.
- Define architecture patterns for AI-enabled software delivery platforms.

DevOps & Platform Engineering

- Integrate Amazon Q Developer with Github, Bitbucket, JIRA, Jenkins, AWS CodePipeline, AWS CodeBuild.
- Automate CI/CD pipelines using AI-assisted recommendations.

Required Skills & Experience:

Amazon Q Developer

- Amazon Q Developer
- AI-assisted code generation
- Code transformation and modernization
- AI-powered test generation
- Documentation generation
- Security review and code recommendations
- AWS Services
- AWS Lambda




- Amazon EC2
- Amazon ECS/EKS
- Amazon S3
- API Gateway
- IAM
- AWS CodePipeline
- AWS CodeBuild
- AWS CodeDeploy
- Programming Languages
- Java
- Python
- JavaScript / TypeScript
- C#
- Node.js
- Go (preferred)
- DevOps & Automation
- Jenkins
- GitHub Actions
- GitLab CI/CD
- Terraform
- CloudFormation
- Docker
- Kubernetes
- AI & GenAI Technologies
- LLM fundamentals
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Agents

Professional Skills:

- Strong analytical mindset with excellent problem-solving and critical-thinking abilities.
- Excellent communication and storytelling skills to convey complex analyses to non-technical stakeholders.
- Proficient in Japanese and English, with strong verbal and written communication skills.
- Ability to manage multiple priorities and deliver under tight timelines.
- Proactive, innovative, and collaborative attitude with a passion for continuous learning.
- Experience working with cross functional teams and risk management teams.

Good to have:

- AWS Certified Solutions Architect Associate/Professional.
- AWS Certified Developer Associate.
- AWS Certified DevOps Engineer Qualified.

Education:

- Bachelor’s or Master’s in Computer Science, Information Systems, or related fields.

Pay: ₹2,500,000.00 - ₹3,000,000.00 per year

Experience

- Amazon Q Developer: 10 years (Required)
- AI-assisted code generation: 10 years (Preferred)
- AWS Services: 5 years (Required)
- GenAI: 3 years (Required)
- Programming Languages: 10 years (Preferred)
- Java: 10 years (Preferred)
- DevOps & Automation: 10 years (Required)

Work Location: In person

📌 Amazon Q Developer Lead//Architect (Noida)
🏢 Aliqan Technologies
📍 Noida