• Design and implement scalable, high-throughput data ingestion systems that integrate internal and external data across domains • Design and build core data platform components, including ingestion, validation, orchestration, and lineage, with a focus on code quality and reliability • Build and evolve a centralized data lake using Apache Iceberg (or similar table formats) • Work across multi-cloud environments (AWS, GCP, Azure) to design and implement cloud-agnostic data ingestion and processing patterns • Contribute hands-on to the Semantic layer, ensuring data is easy to consume for BI and analytics teams • Partner with Senior Data Engineers, Platform Engineers, and Analytics Engineers to align how data is produced, stored, and consumed • Establish practical engineering standards for testing, observability, and operational excellence • Provide technical leadership through mentorship, code reviews, and design discussions, while remaining hands-on

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role focuses on designing and implementing full-stack solutions for a powerful analytics platform that helps K-12 administrators track software usage, understand engagement trends, and make data-driven decisions. The Senior Software Engineer will work across the stack, building scalable backend services, interactive frontend dashboards, and robust APIs while collaborating with a highly skilled and mission-driven engineering team. This role provides both technical challenge and meaningful contribution to the learning landscape. - Design, develop, and maintain the Discover analytics platform, delivering high-quality backend services and frontend experiences. - Build interactive React dashboards and data visualizations to support K-12 administrators in decision-making. - Implement gRPC and REST APIs for real-time data access and service-to-service communication. - Optimize SQL and analytics queries for large-scale data aggregation and performance. - Integrate AI/LLM services to provide intelligent features and insights. - Mentor and coach other developers, participating in architecture discussions, code reviews, and continuous improvement initiatives. - Contribute to infrastructure-as-code and scalable deployment practices for cloud services. Qualifications - 5+ years of professional software engineering experience, leading complex, large-scale features. - Strong Go experience with production-grade services, concurrency patterns, and microservices architecture. - Proficiency in building high-quality React applications with TypeScript, including dashboards and data visualizations. - Experience designing APIs (gRPC, REST) and handling high-throughput microservices. - Skilled in SQL database optimization, indexing, and analytics workloads. - Familiarity with caching strategies, cloud services (AWS preferred), and containerization (Docker, Kubernetes). - Knowledge of modern frontend tooling, component libraries, and charting frameworks (e.g., Chakra UI, Recharts, D3). - Strong problem-solving, communication, and cross-team collaboration skills in fast-paced environments. - Passion for building impactful products that serve educational users. Requirements - 5+ years of professional software engineering experience, leading complex, large-scale features. - Strong Go experience with production-grade services, concurrency patterns, and microservices architecture. - Proficiency in building high-quality React applications with TypeScript, including dashboards and data visualizations. - Experience designing APIs (gRPC, REST) and handling high-throughput microservices. - Skilled in SQL database optimization, indexing, and analytics workloads. - Familiarity with caching strategies, cloud services (AWS preferred), and containerization (Docker, Kubernetes). - Knowledge of modern frontend tooling, component libraries, and charting frameworks (e.g., Chakra UI, Recharts, D3). - Strong problem-solving, communication, and cross-team collaboration skills in fast-paced environments. - Passion for building impactful products that serve educational users. Benefits - Competitive salary range of $155,000 - $195,000 per year. - Comprehensive healthcare coverage including medical, dental, and vision. - 401(k) plan with company match and employee equity plan. - Flexible time off, paid holidays, and paid parental leave. - Work-from-home stipend and support for personal wellbeing. - Professional development opportunities and mentorship culture. - Remote-friendly, collaborative, and inclusive work environment with a mission-driven team.

• Architecting complex systems that help grow the insurance business. • Serve as a tech lead on the team. • Build across the full software stack — from front-end experiences to back-end systems and data workflows. • Design and implement secure, scalable back-end integrations with partner and third-party platforms to support conversions and user engagement. • Contribute to a move-fast development culture by owning the full tech stack with minimal dependencies. • Use observability and monitoring tools to proactively identify, diagnose, and resolve production issues quickly. • Collaborate cross-functionally with product, design, and data teams to deliver measurable impact across the insurance vertical. • Add monetization onto pages lacking it, making changes to drive more traffic through pages that have low traffic. • Improve SEO page performance to enhance site speed, accessibility, and user engagement — driving stronger rankings and visibility on SERPs. • Serve as a mentor to the engineers on the team. • Help to drive our existing values as a team towards better engineering practices, strong continuous improvement thinking, and failing fast / repairing faster mentality. • Partner with management to continuously develop the engineering roadmap for our team.

• Turn emerging ML research ideas into production-ready infrastructure • Build core platform capabilities for execution, storage, and state management • Prototype and evaluate new technologies, then help decide what should move into production • Partner with research teams to shape infrastructure based on what future agent systems will need