Senior SDLC Telemetry & Analytics Engineer

Apple Inc.; California; On-site; USD 150,000 - 225,000; Full time

Benefits offered by this job

Medical and dental coverage

Retirement benefits

Employee stock programs

Tuition reimbursement

Relocation assistance

Job summary

Apple Inc. is seeking a Senior Software Engineer to architect and deploy a unified SDLC telemetry platform. You will design data models, schemas, and production-grade pipelines spanning source control, build systems, deployments, and monitoring tools to deliver actionable insights.

You will implement scalable databases, real-time and batch processing, and dashboards using DORA metrics. Your work enables engineering teams to measure performance, identify bottlenecks, and continuously improve

Qualifications

• Minimum 4 years of relevant industry experience.
• Strong software engineering foundation with production data systems experience.
• Proven end-to-end data-intensive product experience.
• Deep expertise in data modeling (time-series and dimensional).
• Hands-on with event streaming platforms (Kafka) and orchestration (Airflow, Spark).
• Proficiency in Java; strong SQL for data modeling and pipelines.

Responsibilities

• Data Model & Schema Engineering: unify SDLC event schemas and model relationships across platforms.
• SDLC Platform Integrations: build data pipelines ingesting events from source control, build systems, and deployments; ensure reliability and observability.

Skills

Java

SQL

Data modeling

Kafka

Airflow

Spark

Telemetry platforms

Education

BS in Computer Science

Tools

Kafka

Airflow

Spark

Job description

Apple Inc. is seeking a Senior Software Engineer to architect and deploy a unified SDLC telemetry platform. You will design data models, schemas, and production-grade pipelines spanning source control, build systems, deployments, and monitoring tools to deliver actionable insights.

You will implement scalable databases, real-time and batch processing, and dashboards using DORA metrics. Your work enables engineering teams to measure performance, identify bottlenecks, and continuously improve