Senior Full Stack Engineer at LighthouseAI – Remote (United States) | Jobyssey

Essential Duties and Responsibilities:

Design, develop, and maintain scalable backend services using TypeScript and Node.js (Nest.js).
Build responsive, modular, and maintainable front-end applications using React.
Architect, implement, and optimize RESTful APIs for client–server communication.
Work with relational and NoSQL databases and design efficient data models.
Build and deploy applications within AWS, leveraging services such as ECS, Lambda, S3, SQS, and IAM.
Contribute to system design discussions and help shape scalable, maintainable architecture decisions.
Perform thorough unit and integration testing and validate code quality prior to QA handoff.
Leverage AI development tools (such as GitHub Copilot, Claude, or similar) to improve productivity and code quality.
Write clean, testable, and reusable code with proper documentation.
Collaborate with cross-functional teams to define requirements and deliver features from concept through production release.
Ensure application security, performance, reliability, and scalability across systems.
Participate in code reviews and provide constructive feedback to maintain code quality standards.

Work Experience Qualifications:

5+ years of professional full stack development experience.
Strong proficiency in TypeScript; Python experience is a plus.
Strong front-end skills with React and modern front-end tooling.
Solid working experience with Node.js and server-side TypeScript frameworks.
Experience working with relational and NoSQL databases and ORM libraries.
Familiarity with API design best practices, authentication/authorization (OAuth, JWT), and security principles.
Practical experience building and deploying applications in AWS (e.g. ECS, Lambda, S3, SQS, IAM) – architecture and infrastructure ownership not required.
Experience with testing frameworks (e.g. Jest, Vitest).
Demonstrated ability to work with strong autonomy and ownership, driving work forward without requiring close oversight.
Proven ability to contribute to system design and make sound architectural decisions at the feature and service level.
Knowledge of microservices or serverless architecture.
Experience using AI-assisted development tools (e.g. GitHub Copilot, Claude).

Compensation:

Benefits:

Explore more jobs