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The IS&T (Information Systems and Technology) organization at Apple builds and maintains mission-critical applications and services that support Apple customers, employees, partners, and products worldwide. IS&Tβs Legal and Global Security Solutions (LGSS) Team is seeking an experienced full stack developer to join its engineering organization where you will work with a highly talented team of software engineers and product managers to build scalable and secure solutions that empower Appleβs legal, security and compliance functions.
About LGSS Engineering
We build and maintain critical tools and services for legal, compliance and security requirements at Apple. We are responsible for eDiscovery solutions for data collection, data preservation, legal holds, knowledge mining as well as law enforcement and privacy compliance tools. We are also responsible for developing key compliance and crisis management tools that protect Appleβs assets, people, and regulatory obligations as well as tools for intellectual property enforcement and fraud prevention. We own the full software engineering lifecycle for all of these solutions from software development and quality assurance to DevOps and sustained production support.
Description
Your responsibilities will include all aspects of software development from architecture and system design to implementation and maintenance. This role requires a highly skilled and adaptable engineer who thrives in an ambiguous environment and takes ownership of project delivery from inception to deployment. The ideal candidate will collaborate across teams, mentor engineers and drive innovation while implementing features aligned with our product roadmap.
Minimum Qualifications
4+ years of software development experience in Java, with strong object-oriented design skills
Experience in both frontend and backend development, including building and maintaining large-scale, scalable systems
Hands-on experience with relational and non-relational databases and proficiency with Unix operating systems
Solid knowledge of application performance optimization techniques and caching solutions
Bachelor's degree in Computer Science/Engineering or equivalent work related experience
Preferred Qualifications
Strong computer science fundamentals including data structures, algorithms, and system design, with proven problem-solving and debugging skills
Solid understanding of software architecture principles including load-balancing, microservices, system observability, security, cryptography, performance, and reliability
Hands-on experience building components, frameworks, and libraries that improve software efficiency and scalability, with a strong appreciation for software quality and testing
Familiarity with AI/ML algorithms and frameworks, AI-powered assistant tools, and experience integrating AI/ML concepts into software design and implementation
Experience with cloud platforms (AWS/GCP), cloud data warehousing (Snowflake), and CI/CD tools, with working experience in Agile development methodologies