
10,000+ employees
Founded 2016
🏢 Enterprise
👥 HR Tech
☁️ SaaS
Enterprise • HR Tech • SaaS
Alight Solutions is a leading cloud-based human capital technology and services provider serving some of the world's largest organizations and over 35 million people and dependents. The company focuses on transforming lives and organizations by enhancing health, financial, and work wellbeing. Alight offers a wide range of services, including customer care, technology roles, consulting, application services, and business support, with opportunities for virtual or work-from-home positions. The company emphasizes corporate social responsibility and providing a positive impact on clients, colleagues, and communities.
🔥 0 minutes ago
Amazon Redshift
Angular
AWS
Cloud
Docker
DynamoDB
EC2
Java
JavaScript
JUnit
Microservices
MySQL
Node.js
NoSQL
Postgres
Python
Ray
SQL
Terraform
TypeScript
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10,000+ employees
Founded 2016
🏢 Enterprise
👥 HR Tech
☁️ SaaS
Enterprise • HR Tech • SaaS
Alight Solutions is a leading cloud-based human capital technology and services provider serving some of the world's largest organizations and over 35 million people and dependents. The company focuses on transforming lives and organizations by enhancing health, financial, and work wellbeing. Alight offers a wide range of services, including customer care, technology roles, consulting, application services, and business support, with opportunities for virtual or work-from-home positions. The company emphasizes corporate social responsibility and providing a positive impact on clients, colleagues, and communities.
• 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)
• 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
• health, dental and vision coverages starting Day One • wellbeing programs • retirement plans with contribution matching • generous time off • parental leave • continuing education • career growth opportunities
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