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Tier-1 funded, remote, generalist full-stack title, metro location, and early-mid experience attract high competition.
Core full-stack engineering skills are highly transferable across industries despite AI-tool-specific experience preference.
Explicit 1–3 years plus multiple full-stack and AI-tooling skill expectations create moderately strict filters.
Build and enhance full-stack features and fixes for an enterprise SaaS performance management platform.
Own small-to-medium features end-to-end, from design through production readiness in collaboration with cross-functional teams.
Use AI tools to accelerate development tasks while ensuring correctness, testing, maintainability, and code quality.
1-3 years of software development experience.
Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent experience.
Proficiency in full-stack development using TypeScript/JavaScript and backend technologies such as Node.js/NestJS or Python/Django.
Experience with Front End Frameworks such as Vue or React and familiarity with REST APIs and SQL databases like Postgres.
Experienced full-stack engineer comfortable using AI-assisted development tools for coding, debugging, testing, and documentation workflows.
Ability to manage AI-generated code outputs by verifying, correcting, and integrating them safely, balancing AI assistance with human judgment.
Comfortable working independently in a fast-paced, remote, async environment and collaborating effectively with product and engineering teams.