Key skills
JavaScriptTypeScriptNoSQLMachine LearningGenAIReactReact.jsNext.jsNode.jsAWSAnsibleServerlessCloudFormationLambdaS3DynamoDBCloudWatchSNSSQSGitHubAgileCI/CDCommunicationCollaboration
About this role
EPITEC is hiring a Senior Full Stack Engineer for a long-term remote contract supporting student-facing products at College Board. The role focuses on backend development, building AWS-based applications, and requires strong collaboration and communication skills.
Responsibilities:
- Design, develop, and maintain scalable full stack applications with a strong emphasis on backend development
- Build and support AWS serverless solutions using services such as Lambda, DynamoDB, S3, and SNS/SQS
- Develop APIs, microservices, and cloud-based application components that are secure, reusable, and efficient
- Create technical design specifications, unit tests, and supporting documentation
- Collaborate with team members and stakeholders to deliver high-quality software aligned to deadlines and best practices
- Contribute to Agile development, CI/CD processes, DevOps best practices, and framework improvements
- Support the development of reliable systems in a data-driven, automation-focused environment
Requirements:
- 7+ years of software development experience
- Strong backend engineering experience with JavaScript (ES6+)
- Node.js
- AWS serverless technologies
- Strong full stack experience with React.js
- APIs
- Microservices
- Cloud-based development
- Experience with AWS services including DynamoDB, Lambda, S3, SNS/SQS, CloudWatch
- Experience working in Agile, CI/CD, and DevOps environments
- Strong communication, collaboration, problem-solving, and organizational skills
- Ability to work independently in a fully remote environment and ramp up quickly
- Experience with Next.js and TypeScript
- Experience with CloudFormation, GitHub, and Ansible
- Familiarity with OpenSearch, Route 53, VPC, and KMS
- Experience with relational and NoSQL databases
- Experience building infrastructure as code
- Exposure to data quality, automation, data management, GenAI, data science, or machine learning
- Candidates from large enterprise environments are especially attractive for this team