Staff Engineer, Software 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 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 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.

• 10+ 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, 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.