Software Engineer, micro Platforms

About this role

This is a high-ownership fullstack role where you’ll contribute to — and grow into owning — core internal platform systems end-to-end. You’ll primarily work on building and improving the internal tools, services, and workflows that power our operations, products, and AI-driven infrastructure at scale.

Skills

Key responsibilities

• Contribute to the design and development of end-to-end fullstack systems powering critical internal workflows and platform capabilities.
• Build clean, scalable backend services and APIs with clear contracts and ownership.
• Develop high-quality, performant frontend interfaces used by internal teams and stakeholders.
• Participate in data modeling and database performance optimization (schema design, query tuning, maintainability).
• Collaborate closely with product, operations, and design teams to translate ambiguous requirements into scalable systems.
• Improve platform reliability, observability, and developer experience across internal tooling.
• Uphold engineering quality through code reviews, testing, and continuous improvement.
• Help debug and resolve production issues while improving operational resilience.
• Make pragmatic tradeoffs between speed, scalability, and maintainability in a fast-moving environment.
• Experience building or contributing to production fullstack systems (internships, projects, or professional experience).
• Strong TypeScript fundamentals across frontend and/or backend.
• Familiarity with backend development using Node.js (NestJS is a plus).
• Experience building user interfaces with React or similar frameworks.
• Understanding of relational databases such as PostgreSQL and core data modeling principles.
• Familiarity with RESTful APIs and distributed system communication patterns.
• Exposure to cloud platforms like AWS (or similar).
• Awareness of modern architectures (microservices, serverless, or event-driven systems).
• Strong problem-solving ability, ownership mindset, and attention to detail.
• Comfortable operating in ambiguous, fast-moving environments.

Preferred qualifications

• Experience with CI/CD, infrastructure as code, or DevOps workflows.
• Experience building internal developer platforms, operational tooling, or workflow automation systems.
• Exposure to AI-adjacent, data-heavy, or ML-powered products.
• Experience working in startup, lab, or high-growth engineering environments.
• Familiarity with monitoring, observability, and platform reliability best practices.