Amazon Q Developer Lead//Architect

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 Professional.

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