AWS Cloud Engineer with AI (LLM)- R01558325
About The Position
Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction. Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year. To succeed, this Role’s Responsibilities Would Involve: • Bring a developer’s mindset with strong knowledge of AWS cloud engineering. • Be comfortable building, debugging, and enhancing serverless applications. • Work collaboratively with architects, product teams, and DevOps to deliver end-to-end solutions. • Understand modern cloud design principles, security practices, and automation standards. • Stay current with evolving AWS services and Generative AI capabilities.
Requirements
- 8 to 12 years of overall experience with strong AWS development background.
- Hands-on development using AWS serverless services: Lambda, DynamoDB, SNS/SQS, Step Functions, API Gateway.
- Experience developing AI/LLM features using Amazon Bedrock or SageMaker.
- Strong programming experience in Node.js or Python.
- Solid experience with AWS SDK, event-driven patterns, and microservices.
- Good understanding of AWS compute, networking, security, and CI/CD.
- Experience with CloudFormation for IaC.
- Experience with Git and modern development workflows.
- Strong debugging, problem-solving, and performance optimization skills.
- Ability to write secure, scalable, production-grade cloud applications.
Responsibilities
- Build and enhance cloud-native applications using AWS services such as Lambda, API Gateway, DynamoDB, SQS/SNS, Step Functions, and S3.
- Develop AI-enabled features using LLMs, Agentic AI, and AWS services like Amazon Bedrock and SageMaker.
- Write clean, maintainable, secure, and testable code using Node.js or Python.
- Implement event-driven workflows, asynchronous integrations, and serverless APIs.
- Integrate AWS services programmatically using AWS SDK.
- Implement Infrastructure-as-Code (IaC) using CloudFormation.
- Contribute to CI/CD pipelines using AWS Code Pipeline, Code Build, and Code Deploy.
- Support observability by configuring logging, monitoring, tracing, and alerts.
- Follow cloud security, compliance, and operational best practices.
- Build LLM-driven features, inference workflows, prompt-handling, and agent-based automation using Bedrock.
- Develop scalable AI components and integrate them into backend services.
- Experiment with new AWS AI capabilities and contribute to PoCs.
- Work with architects and senior engineers to translate high-level architecture into implementation.
- Participate in code reviews, design discussions, and team development practices.
- Troubleshoot issues, optimize application performance, and support deployment activities.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
