Code Observability Engineer: Real-Time Analytics & GenAI

Apple Inc.; San Diego (CA); On-site; USD 142,300 - 263,300; Full time

Benefits offered by this job

Relocation assistance

Employee stock purchase plan

Discretionary bonuses

Tuition reimbursement

Job summary

Apple Inc. is seeking Software Engineer for the Code Observability team in San Diego, CA.

You will build backend services, web applications, and real-time data pipelines that surface code quality metrics at scale, integrating with GitHub/Bitbucket and Apple build/test services. You will model data, create visualizations for project-wide analysis, design new analysis techniques, and contribute to CI/CD pipelines while collaborating with cross-functional teams to deliver robust software and timely

Qualifications

• 3+ years building distributed services and web applications.
• Proficiency with Swift, Rust or Go.
• Proficiency with SQL and web technologies.
• Experience with CI/CD and testing practices.

Responsibilities

• Design and build backend services, web apps, and real-time data pipelines at scale.
• Integrate with GitHub, Bitbucket, and Apple build/test services.
• Create data models and visualizations for project analysis.
• Develop novel analysis techniques and improve build/test systems.
• Integrate GenAI services for insights.
• Collaborate with cross-functional teams and present designs.

Skills

Distributed systems

Communication

Developer productivity

Tools

Swift

Rust

Go

SQL

React

TypeScript

Kubernetes

Snowflake

Postgres

Job description

Apple Inc. is seeking Software Engineer for the Code Observability team in San Diego, CA.

You will build backend services, web applications, and real-time data pipelines that surface code quality metrics at scale, integrating with GitHub/Bitbucket and Apple build/test services. You will model data, create visualizations for project-wide analysis, design new analysis techniques, and contribute to CI/CD pipelines while collaborating with cross-functional teams to deliver robust software and timely