Alight is a company dedicated to empowering clients to build a healthier and financially secure workforce. They are seeking a Senior Full Stack AWS Engineer to architect and implement cloud applications, lead the design of AI workflows, and mentor engineers while ensuring high performance and security of cloud-native solutions.
Responsibilities:
- Architect and implement serverless, event-driven, and containerized cloud applications using AWS services (e.g., Lambda, API Gateway, DynamoDB, Step Functions, S3, ECS/EKS)
- Build robust, secure, and high-performance cloud-native solutions, leveraging both front-end (Angular, TypeScript) and back-end (Node.js, Java, RESTful APIs) technologies
- Lead the design and integration of Generative AI workflows leveraging Amazon Bedrock, RAG pipelines, and knowledge-base-driven context engineering for intelligent, reliable, and extensible AI solutions
- Develop and maintain internal frameworks, reusable modules, and developer platforms to enhance developer experience, maintainability, and cloud efficiency
- Implement multi-tier architectures and RESTful microservices, integrating with upstream and downstream systems
- Manage databases with Amazon RDS (MySQL/PostgreSQL), DynamoDB, and Aurora, including both SQL and NoSQL modeling
- Design and maintain CI/CD pipelines and apply Infrastructure as Code (IaC) practices using Terraform and CloudFormation
- Employ testing frameworks and backend testing tools to ensure code quality and reliability
- Collaborate cross-functionally with product, design, and data science teams to bridge business goals with scalable cloud solutions
- Champion accessibility-first design and inclusive engineering practices across products and internal tooling
- Mentor engineers and influence architectural direction aligned with organizational growth and sustainability objectives
- Implement logging, monitoring, and distributed tracing using AWS and third-party tools (e.g., CloudWatch, X-Ray, ELK stack)
- Optimize application performance and ensure high availability through AWS scaling and caching mechanisms (Elastic Load Balancer, CloudFront)
Requirements:
- 10+ years of experience in software engineering, cloud architecture, or full-stack application development
- Deep hands-on experience with AWS (e.g., Bedrock, Lambda, Step Functions, Redshift, Glue, ECS/EKS, IAM, S3, API Gateway, RDS, CloudFormation, EC2, Fargate, CloudWatch)
- Proficiency in Python, Java, TypeScript/Node.js, or similar languages for serverless and full-stack development
- Strong grasp of context engineering, prompt orchestration, and LLM application design
- Proven success leading cross-functional engineering teams and innovating at the intersection of technology and business
- Commitment to accessibility and inclusive design principles
- Experience integrating agent-based architectures and retrieval-augmented generation (RAG) on AWS
- Understanding of application-level security, compliance, and cost optimization best practices in the cloud
- Experience with internal developer platforms, CI/CD pipelines, and observability frameworks
- Prior contributions to AI/ML product teams or open-source cloud frameworks
- Skilled in serverless and containerized application design and deployment using AWS SAM, Docker, and ECS
- Experience in implementing secure authentication and authorization using AWS Cognito, OAuth2.0, and JWT
- Strong proficiency in database management with Amazon RDS, DynamoDB, and Aurora, including SQL and NoSQL modeling
- Good working knowledge of testing frameworks and backend testing tools like JUnit
- Strong exposure to Agile and Waterfall methodologies, with a focus on continuous delivery and iterative development
- Adept in version control and configuration management tools including GitHub, Bitbucket, and AWS CodeCommit