Senior Backend Engineer
Core
Build and scale serverless microservices and event-driven data pipelines to process millions of realtime sports odds and stats updates.
Role type
Senior Backend Engineer (Serverless/Distributed Systems)
Builds
Serverless data pipelines, APIs, and real-time processing systems for sports analytics
Domain
Sports data, Real-time systems, Cloud infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
Python, API design, asynchronous/event-driven systems, AWS (Lambda, API Gateway, DynamoDB), distributed systems debugging, observability
Preferred skills
Microservices architecture, CI/CD, Infrastructure-as-Code, ETL with Pandas, Serverless Framework, Elasticsearch, Redis, PostgreSQL, BigQuery
Technologies
AWS Lambda, API Gateway, DynamoDB, Kinesis, EventBridge, SQS, SNS, Step Functions, Serverless Framework, Pandas, Elasticsearch, Redis, PostgreSQL, BigQuery
Responsibilities
Design and maintain serverless data pipelines for ingesting and normalizing sports data; Own and evolve APIs and event-driven workflows; Build and optimize real-time processing systems; Design efficient data models and optimize data access patterns; Implement sports analytics logic; Partner with product team on scalable backend architecture; Improve service reliability through logging, tracing, and monitoring
Seniority
Senior, hands-on IC
