Back to Search
Overview
Mid-Level

Software Engineer II - Pear Assessment

Confirmed live in the last 24 hours

GoGuardian

GoGuardian

India
Remote
Posted April 1, 2026

Job Description

What We Do
 
At GoGuardian, we’re helping build a future where all learners are ready and inspired to solve the world’s greatest challenges. Our award-winning system of learning solutions is purpose-built for K-12 and trusted by school leaders to promote effective teaching and equitable engagement while helping empower educators to keep students safe. 
 
What It’s Like to Work at GoGuardian

We are an outcomes-focused learning company with a steadfast focus on improving learning environments, one classroom at a time. Working with us means joining a remote team of diverse, committed, mission-driven employees who are inspired by our vision, dedicated to our customers, and ready to roll up their sleeves. Guardians put their heads together to solve problems, learn together from experiments that fail, and stand together by their work with full accountability. We balance our diligence with an inclusive culture that invites everyone to bring their whole self to work. Join us and learn why “I love the people here” is one of the most frequent comments we hear from Guardians.

The Role

We’re looking for a Software Engineer II, Fullstack to design and implement solid architectural solutions with the rest of the engineering team, supporting our Pear Assessment product - a platform that provides real-time, interactive formative assessments, enabling teachers to capture diverse student responses, gain instant insights, and adapt instruction across live and self-paced learning environments.

With a passion for solving problems quickly and delivering high-quality code, you will build features that enable real-time formative assessments and actionable learning insights for educators. You’ll work across the full stack—from crafting intuitive React-based classroom experiences and interactive assessment workflows to designing scalable backend services and optimizing data pipelines that power instant feedback and analytics. You will also contribute to OpenSearch-powered semantic search capabilities, enabling fast and relevant discovery across more than 500 million educational documents. Our Engineering team thrives on a purpose-driven culture of collaboration, openness, trust, and transparency, with individuals who continuously push boundaries to improve teaching and learning outcomes.

What You'll Do

  • Design, build, and continually improve our Pear Assessment product and related services
  • Build and ship features that power real-time formative assessments and classroom engagement experiences for educators and students.
  • Develop & maintain high-performance backend services in Typescript that power the assessment platform
  • Develop intuitive, high-performance React interfaces for interactive assessments, dashboards, and data visualization
  • Develop and enhance OpenSearch-based semantic search systems to enable fast, relevant discovery across hundreds of millions of educational documents
  • Optimize data pipelines and queries to deliver low-latency insights and feedback to teachers during live and asynchronous sessions
  • Collaborate cross-functionally with product, design, and data teams to translate educational needs into impactful technical solutions.
  • Ensure system reliability, scalability, and performance under high usage across classrooms and districts.
  • Continuously improve code quality, testing practices, and engineering standards within a collaborative team environment.
  • Participate in architecture discussions, code reviews, and continuous improvement initiatives
  • Architect and operate cloud-native systems on AWS, leveraging services like SQS for asynchronous processing and event-driven workflows.
  • Work with MongoDB and other data stores to model, store, and efficiently query large-scale assessment and engagement data.
  • Integrate AWS IoT services where applicable to support real-time classroom device interactions and data ingestion.
  • Integrate LLM/AI services to power intelligent features such as automated insights, content generation, and enhanced search relevance.


Who You Are

  • 4+ years of professional industry experience building and delivering scalable software features i
reactnodepythonjavatypescriptjavascriptgorustawsdocker