Senior Full Stack AWS Engineer - Virtual

Role OverviewThe Technology organization of Alight Solutions is responsible for the life cycle planning of business applications through the phases of strategize, architect, select, deploy, operate, evolve, and retire. The Platform Leader is responsible for driving our platform vision forward, that has specific responsibility for building or configuring, maintaining or enhancing, and eventually decommissioning applications and services through their life cycle.What You Will DoArchitect 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.Why It Might Be a Fit10+ 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).Requirements10+ years of experience in software engineering, cloud architecture, or full-stack application developmentDeep 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 developmentStrong grasp of context engineering, prompt orchestration, and LLM application designProven success leading cross-functional engineering teams and innovating at the intersection of technology and businessCommitment to accessibility and inclusive design principlesExperience integrating agent-based architectures and retrieval-augmented generation (RAG) on AWSUnderstanding of application-level security, compliance, and cost optimization best practices in the cloudExperience with internal developer platforms, CI/CD pipelines, and observability frameworksPrior contributions to AI/ML product teams or open-source cloud frameworksSkilled in serverless and containerized application design and deployment using AWS SAM, Docker, and ECSExperience in implementing secure authentication and authorization using AWS Cognito, OAuth2.0, and JWTStrong proficiency in database management with Amazon RDS, DynamoDB, and Aurora, including SQL and NoSQL modelingGood working knowledge of testing frameworks and backend testing tools like JUnitStrong exposure to Agile and Waterfall methodologies, with a focus on continuous delivery and iterative developmentAdept in version control and configuration management tools including GitHub, Bitbucket, and AWS CodeCommitBenefitshealth, dental and vision coverages starting Day Onewellbeing programsretirement plans with contribution matchinggenerous time offparental leavecontinuing educationcareer growth opportunitiesOriginally posted on Himalayas