Job Details

Weekly Hours: 40

Role Number: 200649450-0836

Summary

We are looking for a Senior Software Engineer with cloud architecture specialty to join our Data Engineering Infrastructure team. You will design and operate scalable Cloud-based data platforms supporting diverse analytics pipelines and data services. In this hands-on role, you'll architect resilient, cost-optimized infrastructure and lead engineering excellence through strategic design, hands-on development, mentorship, and cross-functional collaboration.

Description

As a Senior Software Engineer with cloud architecture specialty, you will design and build distributed systems on AWS that support the complete data lifecycle and analytics pipelines. You'll collaborate with data engineering, analytics, ML, and platform teams to deliver production-grade infrastructure components and data services. This role balances strategic architecture decisions with hands-on implementation, ensuring our data platform operates reliably and efficiently at scale.

Minimum Qualifications

• 10+ years of software engineering experience, with at least 5+ years on cloud-based data systems or infrastructure

• Strong programming skills in Java, Python (, Scala as a plus)

• Deep hands-on experience with AWS data services: S3, Glue, EKS, Lambda, RDS

• Hands-on experience with distributed data frameworks: Apache Spark, Flink, Trino, or Kafka

• Demonstrated experience building high-performance, scalable services and data applications with a strong focus on operational excellence

• Familiarity with CI/CD, and proficiency with Infrastructure-as-Code: Terraform and/or CloudFormation

• Experience with containerization and orchestration: Docker, Kubernetes, AWS ECS/EKS

• Solid understanding of data architecture concepts: data lakes, lakehouses, schema patterns, data quality

• Excellent problem-solving, debugging, and communication skills

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience) preferred

Preferred Qualifications

• Master's degree in Computer Science, Data Engineering, or related field

• AWS Certifications: Solutions Architect Professional

• Experiences on other Cloud platforms (GCP, Azure etc)

• Advanced knowledge of Apache Spark internals and query optimization

• Proficiency with workflow orchestration: Apache Airflow or Prefect

• Expertise in data governance and cataloging systems

• Background in serverless and event-driven architectures

• Experience with observability stacks: Prometheus, OpenTelemetry, Splunk

• Knowledge of data security: encryption, RBAC, audit logging, compliance frameworks

• Track record of leading technical initiatives and mentoring engineers

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .