Full Stack Platform Engineer

Qualifications:

Expert-level proficiency in JavaScript/TypeScript, including React, React Native, Node.js, and Express.js.

Solid experience with Python, especially for backend services or ML experimentation.

Proven deployment and CI/CD experience on Heroku, AWS, and/or GCP.

Strong grasp of SQL, particularly Postgres, and familiarity with Snowflake.

Comfortable working in or leading QA/test-driven environments.

Familiarity with AI-assisted coding tools such as Cursor AI, Codex, or GitHub Copilot.

Strong communication skills and an ability to thrive in a collaborative remote work environment.

Genuine curiosity and hands-on interest in ML/AI, even if not formally trained.

Expert-level proficiency in JavaScript/TypeScript, including React, React Native, Node.js, and Express.js.

Solid experience with Python, especially for backend services or ML experimentation.

Proven deployment and CI/CD experience on Heroku, AWS, and/or GCP.

Strong grasp of SQL, particularly Postgres, and familiarity with Snowflake.

Comfortable working in or leading QA/test-driven environments.

Familiarity with AI-assisted coding tools such as Cursor AI, Codex, or GitHub Copilot.

Strong communication skills and an ability to thrive in a collaborative remote work environment.

Genuine curiosity and hands-on interest in ML/AI, even if not formally trained.

Good to have:

Experience with platform engineering, microservices, or multi-tenant SaaS systems.

Exposure to event-driven architectures, containerized environments (Docker/Kubernetes), or observability tooling.

Experience working with AI/ML APIs, vector databases, LLMs, or MLOps platforms (e.g., OpenAI, LangChain, Pinecone, Weaviate). Soft Skills:

Strong communication skills, particularly in English.

Ability to work independently while collaborating with a remote team.

Strong problem-solving skills and adaptability to fast-paced environments.