Senior Software Engineer

🔥 14 minutes ago

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Newsela

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2013

📚 Education

🛍️ eCommerce

👥 B2C

💰 $100M Series D on 2021-02

Education • eCommerce • B2C

Newsela is a fast-growing education technology startup with a single ambitious goal: Meaningful classroom learning for every student. We provide engaging, relevant instructional content for teachers that both educates and inspires. With nearly two million teachers signed up, Newsela is helping kids improve their reading skills in all 50 states and more than 150 countries. We seek passionate, creative employees with quick minds and warm hearts. If you believe that all students deserve a more rigorous, more personalized learning experience, please apply to join our team.

📋 Description

• Deliver high-quality work on time, leveraging AI tools to accelerate velocity without sacrificing craft. • Own feature delivery end-to-end, from scoping and design input through implementation and release, with minimal oversight. • Craft well-tested software that meets a high bar for quality, using AI-assisted development practices where they add value and exercising judgment where they don't. • Build and validate AI-integrated features with sound engineering judgment, applying appropriate evaluation practices to LLM-powered and AI-assisted functionality. • Partner closely with Engineering, Product Management, and Product Design to refine ambiguous work into clearly defined, valuable deliverables. • Maintain reliable systems by applying best practices for observability, quality, and incident response, and actively use AI tooling to detect, diagnose, and resolve issues faster. • Support production releases, ensuring your team's systems are deployment-ready and stable post-release.

🎯 Requirements

• 5+ years building production web applications, with a strong full-stack range (modern React/TypeScript frontends and a typed or Pythonic backend). • Track record of owning ambiguous problems end-to-end and shipping with measurable impact. • Substantive code review history - examples of catching architectural issues. • Active daily use of AI coding agents (Claude Code or similar) with a clear point of view on where they help, where they hurt, and how to keep their output reviewable. • Comfort with production debugging across the stack: traces, logs, profiling, the unglamorous parts. • Strong async written communication: clear PR descriptions, Slack comms, and specifications.