Software Engineer, SDLC Analytics

Socket.dev; Cupertino (CA); On-site; USD 140,000 - 190,000; Full time

Job summary

Apple is seeking an experienced Software Architect or Senior Software Engineer with a data analytics background to design a unified telemetry platform for the SDLC. You will build data models for scalable pipelines and oversee production-grade data systems that drive visibility across the development lifecycle.

You'll work across source control, build systems, deployment orchestration, and observability tooling to turn fragmented telemetry into actionable insights, enabling engineering teams to

Qualifications

• BS in Computer Science or related field.
• 4+ years in production data systems.
• Strong data modeling and SQL skills.
• Experience with event streams (Kafka).
• Experience with data pipelines (Airflow, Spark).

Responsibilities

• Architect and engineer a telemetry and analytics platform for SDLC.
• Engineer scalable data infrastructure for analytics.
• Correlate events across the development pipeline to quantify engineering performance.

Skills

Java

SQL

Data modeling

Time-series modeling

Event streaming

Airflow

Spark

Data pipelines

Education

BS in Computer Science or related field

Tools

Kafka

Airflow

Spark

Git

Job description

Do you love building elegant systems that make engineering teams measurably better? Do you like transforming complex data into actionable insights? Are you passionate about applying software engineering rigor to the measurement and optimization of the development lifecycle itself? As part of our Software Development Life Cycle (SDLC) team, you'll architect and engineer a comprehensive telemetry and analytics platform that provides deep telemetry across the entire software development lifecycle. Your work will empower engineering teams across Apple to quantify their performance, identify bottlenecks through engineered observability, and continuously improve their development workflows.

DESCRIPTION

We are seeking an experienced Software Architect or Senior Software Engineer with a strong data analytics background in building data-intensive systems to join our team. The ideal candidate brings production-grade software engineering discipline to data systems — Architecting data models for our scalable SDLC event platform that serves as the backbone for data pipelines, and engineering scalable data infrastructure and analytics capabilities across one of the world's largest software organizations. Modern software development at Apple spans multiple specialized platforms — source control, build system, deployment orchestration, artifact management, and observability tooling. Each generates rich telemetry, but analyzing these signals in isolation yields limited insight. You'll see this by engineering a unified analytics platform that correlates events across the entire development pipeline, turning fragmented data into a coherent picture of engineering effectiveness.

MINIMUM QUALIFICATIONS

• Minimum 4 years of relevant industry experience Strong software engineering
• foundation with significant experience building and operating production data
• systems Proven track record of designing, shipping, and maintaining internal or
• external data-intensive products end-to-end Deep expertise in data modeling,
• including time-series and dimensional modeling approaches Hands-on experience
• with event streaming platforms (e.g., Kafka) and pipeline orchestration
• frameworks (e.g., Airflow, Spark) Proficiency in Java; strong SQL skills for
• data modeling and pipeline development; comfort working across the full data
• stack from ingestion to serving Solid understanding of database technologies for
• both operational and analytical workloads BS in Computer Science, Computer
• Science, or a related technical field

PREFERRED QUALIFICATIONS

• Experience building analytics or telemetry platforms for software development
• workflows Hands-on familiarity with SDLC tooling —GitGitHub-iniOSApple••/i made? Wait more text.
• Strong software design skills: ability to write clean, testable, maintainable code in a collaborative engineering environment
• Some experience using AI-powered solution on analyzing CI/CD data
• Strong problem-solving and analytical skills
• Ability to work well in a team and communicate effectively with both technical and non-technical stakeholders
• Self-motivated and well-organized, with a demonstrated ability to take ownership and drive ambiguous projects to completion