Software Engineering MTS (Full-Stack)

Overview

Member of Technical Staff (Full-Stack Engineer) on the Capacity team within Cloud Economics & Capacity Management, building products used to forecast, reserve, and optimize compute capacity across AWS and GCP.

What you'll do

• Design and ship end-to-end product features, from interactive, data-rich UIs (React, Python/Dash) through the APIs and services behind them
• Develop responsive, accessible front-end interfaces using modern frameworks, JavaScript/TypeScript, HTML, and CSS
• Build and maintain scalable back-end services and APIs (Python preferred) with solid business logic, data models, and integrations
• Design and query databases (SQL and/or NoSQL), and optimize for performance and data integrity
• Work directly with product managers and stakeholders to shape requirements, not just implement them
• Write design docs for features you own and take part in architecture reviews
• Write unit, integration, and end-to-end tests, and improve CI/CD pipelines
• Participate in the team's on-call rotation: debug production issues and improve monitoring and alerting
• Use AI-assisted development tools effectively, holding generated code to the same quality bar as your own

What you'll need

• 3+ years of professional software engineering experience, including shipping user-facing product features
• Strong experience with a modern front-end framework (React or similar) and a back-end language (Python preferred)
• Experience building data-heavy UIs such as dashboards, tables, and charts, with attention to usability and performance
• Solid SQL skills and experience designing REST APIs
• Hands-on experience deploying to a public cloud (AWS preferred; GCP or Azure also valued)
• Willingness to participate in an on-call rotation and troubleshoot production issues
• Strong verbal and written communication skills, especially in design docs and code reviews

Nice to have

• Experience with Dash/Plotly or other data-visualization libraries
• Front-end performance work: rendering, bundle size, virtualization, Lighthouse/Web Vitals
• Experience with Kubernetes, Trino/Presto, or Airflow
• Experience with monitoring and alerting tools
• Knowledge of AI and LLMs, and experience using them in development workflows