Software Engineer

Udemy

San Francisco, CA

Full Time

Mid Level

14 days ago

Job Description

About the Role

Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and Türkiye. This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays. The role involves working on Udemy's teaching and learning platform, primarily with react and a microservices environment built on Kotlin, Spring, GraphQL, gRPC, and DynamoDB. The focus is on building APIs and microservices that impact millions of learners, with an emphasis on improving the learning experience through robust, scalable features.

Key Responsibilities

Contribute to the process of defining and designing features in a highly collaborative agile environment
Design, specify and implement features and services
Participate in code reviews making sure that our code is well designed, tested, robust, secure, performant and readable
Document, monitor and maintain features post-release
Contribute to a team culture that values openness, inclusiveness, quality, robustness, and scalability while fostering innovation
Grow your Software Engineering skills!

Requirements

Minimum three (3) years of experience as a full-stack or backend software engineer
Experience building APIs and backend services called by frontend interfaces
Knowledge of Object Oriented software design patterns and computer science fundamentals (e.g., data structures, algorithms)
Web application development using modern frameworks
Experience with Testing methods, including unit and integration tests
Minimum 2 years of experience with Java, Kotlin or other strongly typed language
Excellent communication skills in English

Nice to Have

Experience with microservice development and communications using gRPC
Experience with Spring Boot Microservices
Experience defining and developing APIs with GraphQL
Experience working with Real-time messaging and NoSQL infrastructures: Redis, Kafka, DynamoDB, etc.
Familiarity with container orchestration technologies (Kubernetes, Marathon, Nomad, etc.)
Familiarity with monitoring and alerting tools (DataDog, etc.)

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