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.