Backend Engineer

We're looking for a Staff Software Engineer to join our Courses - Analytics Team, which powers analytics and feedback for thousands of Creators in our Courses product, rendering a learning platform for over a million monthly active users, fostering interaction, learning, and community engagement. By streaming petabytes of video data and supporting white-labeled, customized mobile apps, we enable creators to deliver branded, seamless experiences to their audiences on both web and mobile platforms.

As a Staff Engineer, you'll lead the technical direction of the platform, solve complex distributed system problems, work with TBs of data, build a powerful analytics engine powering insightful metrics for the creators, learners, optimize data pipelines across different DBs, and mentor 10+ engineers across squads of 5 different products. You'll partner closely with PMs, designers, infra, and security teams to drive long‑term architecture, elevate engineering standards, and ensure seamless user experiences at scale.

• Own architecture and scaling decisions for key Course platform components (e. g., Analytics Engine, Insights Platform, Data Ingestion Pipelines).
• Lead design and execution of cross‑cutting initiatives to improve reliability, latency, and throughput across time‑sensitive APIs and workflows.
• Work hands‑on with technologies like NestJS, Firestore, Mongo
  
  DB, MySQL, Redis, Queuing Systems, Data Warehousing Systems, and Service Mesh‑based microservices.
• Drive observability and resilience by evolving our monitoring, alerting (Prometheus/Grafana), and incident response strategies.
• Leverage LLMs and AI tools to write, refactor, test, and debug code efficiently while implementing guardrails to reduce hallucination and boost reliability.
• Partner with product, infra, and security teams to ensure data integrity, access control, and compliance across phone services.
• Mentor and guide a team of high‑performing engineers, encouraging technical excellence and career growth.
• Stay on the bleeding edge of AI/LLM technology, development best practices, and distributed architecture patterns, and bring that knowledge back to the team.
• Participate in design reviews, deep dives, and on‑call rotations to support a high‑bar culture of accountability and operational excellence.

• 8+ years of backend engineering experience, including designing fault‑tolerant systems and working on high‑scale platforms.
• Deep expertise in distributed systems, event‑driven architectures, and asynchronous job processing.
• Proven experience optimizing availability, performance, and reliability in real‑world systems under load.
• Strong experience with relational and No
  
  SQL data models (especially with complex transactional data).
• Experience with Data Analytics Pipelines, OLAP, and OLTP databases.
• Familiarity with monitoring, SLOs, and root‑cause analysis in production environments.
• Familiarity with hallucination mitigation strategies (e. g., code constraints, test scaffolding, embeddings, context injection).
• Excellent communication and cross‑functional collaboration skills.
• A pragmatic, hands‑on leader who balances long‑term vision with iterative execution.