Software Development Engineer, Database (OpenSearch), AI & Data Platforms (AiDP)

Austin, TX, US • Posted 22 hours ago • Updated 9 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Software Development
  • Database
  • Artificial Intelligence
  • Innovation
  • Real-time
  • Search Technologies
  • Data Analysis
  • Management
  • Cloud Computing
  • Computer Cluster Management
  • Scalability
  • Distributed Computing
  • Replication
  • Operating Systems
  • Process Management
  • Network
  • Analytics
  • Software Engineering
  • OOD
  • Workflow
  • Continuous Integration
  • Continuous Delivery
  • Orchestration
  • Version Control
  • Performance Tuning
  • Test Methods
  • Debugging
  • Search Engineering
  • DevOps
  • Mentorship
  • Java
  • Kotlin
  • Data Structure
  • Algorithms
  • Search Engines
  • Elasticsearch
  • Apache Solr
  • Linux
  • Unix
  • Software Design
  • Optimization
  • Science
  • Computer Science
  • Analytical Skill
  • Conflict Resolution
  • Problem Solving
  • Attention To Detail
  • Communication
  • Collaboration
  • Open Source
  • Google Cloud Platform
  • Google Cloud
  • Amazon Web Services
  • Kubernetes

Summary

The people here at Apple don't just craft products - they build the kind of wonder that's revolutionized entire industries! It's the diversity of those people and their ideas that encourages the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it!\\n\\nThe Data Services OpenSearch team at Apple invites passionate engineers to join our team to develop and contribute to OpenSearch, the leading Open-Source Search and Analytics suite. Our engineers develop and maintain OpenSearch solutions that powers critical observability, log analytics, and real-time monitoring for Apple's critical services across Business units. You will be joining a team of experts working on modern search technologies, distributed systems, and data analytics engineering, helping push the limits of Open-Source OpenSearch to deliver enterprise-class performance, scalability, reliability and security. This role offers the opportunity to impact the experiences of millions of users by developing scalable search, monitoring and analytics solutions for Apple's critical services.

The OpenSearch team at Apple is responsible for developing and managing a highly available, cloud-based search service. We seek innovative, detail-oriented engineers who can contribute to a wide range of OpenSearch components, including query parsing, indexing, cluster management, security, scalability, and new feature development. Your contributions will drive the service's performance, availability, and resilience, supporting a variety of applications and services at Apple. \n\n\nSuccess in this role requires a high level of expertise in several of the following: \nUnderstanding of distributed computing concepts, including sharding, data replication, and fault tolerance.\nFamiliarity with operating system concepts such as process management and network I/O.\nComprehensive knowledge of indexing, searching and analytics concepts (e.g., text analysis, relevancy tuning, and multi-modal search).\nAdvanced software engineering skills with Java ecosystem expertise, object-oriented design principles, and experience in building maintainable, scalable applications.\nHands-on experience with production deployment workflows, including CI/CD pipelines, container orchestration, version control systems, and distributed systems observability.\nExperience with advanced topics like autoscaling, request tracing, and performance tuning in high-throughput systems.\nStrong understanding of testing methodologies and experience with debugging and profiling tools.\n\nThe role demands excellent communication skills and the ability to work closely with both the Search Engineering and DevOps teams. A customer-focused mindset is essential when delivering solutions to internal stakeholders, and collaboration with teams across different global locations is crucial. Mentorship abilities to guide and support junior engineers are also important.

2+ years of relevant experience in the IT industry, specifically in search engines, distributed systems\nHigh proficiency in languages such as Java, Kotlin, or Go\nStrong understanding of data structures, algorithms, and indexing techniques specific to search engines\nIn-depth knowledge of search engine internals, ideally with OpenSearch or similar platforms such as OpenSearch or Elasticsearch or Solr\nStrong knowledge of Linux/Unix Internals, Systems/Application Design & Architecture\nExpertise in identifying performance bottlenecks and implementing optimization strategies\nBachelor Science in Computer Science or related fields or equivalent work experience

Strong analytical and problem-solving capabilities, with a keen attention to detail.\nExcellent written and verbal communication skills with proven collaboration abilities\nPassionate about Open-Source contributions and community engagement.\nExperience in contributing to or maintaining Open-Source software projects.\nExperience with public clouds (Google Cloud Platform or AWS)\nExperience with Kubernetes
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90733111
  • Position Id: a88ae09f0319d109f32d97b52e297251
  • Posted 22 hours ago
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