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LeadFull-timeGoRailsMySQLMongoDBRedisRESTAPIMicroservicesAIGit
About the Role
We are 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. This role involves leading the technical direction of the platform, solving complex distributed system problems, and building powerful analytics engines to provide insightful metrics for creators and learners.
Key Responsibilities
- →Own architecture and scaling decisions for key Course platform components such as Analytics Engine, Insights Platform, and 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, MongoDB, MySQL, Redis, Queuing Systems, Data Warehousing Systems, and Service Mesh-based microservices
- →Drive observability and resilience by evolving monitoring, alerting with 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 updated on 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 culture of accountability and operational excellence
Requirements
- ✓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 NoSQL 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 such as code constraints, test scaffolding, embeddings, and context injection
- ✓Excellent communication and cross-functional collaboration skills
- ✓A pragmatic, hands-on leader who balances long-term vision with iterative execution
