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.