Senior Software Engineer - Database, Employee Experience and Productivity

Overview

USD 175,800.00 - 312,200.00 per year
Full Time

Skills

Collaboration
Productivity
Modeling
Data Flow
Artificial Intelligence
Innovation
Replication
Load Balancing
Communication
Database Design
Data Modeling
Performance Tuning
Oracle
SQL
PL/SQL
NoSQL
MongoDB
Python
Java
Computer Science
Normalization
Linux
Unix
Debugging
Performance Analysis
High Availability
Machine Learning (ML)
Workflow
Training
Large Language Models (LLMs)
Amazon Web Services
Google Cloud Platform
Google Cloud
Microsoft Azure
Cloud Computing
Docker
Kubernetes
Terraform
Continuous Integration
Continuous Delivery
Open Source
Database
Mentorship
Technical Drafting
Payments

Job Details

Imagine what you could do here at Apple. New ideas have a way of becoming exciting products, services, and customer experiences very quickly. Does creating something new and finding solutions to complex problems inspire you? At Apple, the Employee Experience and Productivity team is dedicated to shaping the future of the way we work. We create innovative tools and platforms that empower employees to thrive, collaborate, and do the best work of their lives. Our solutions are the invisible force behind Apple's productivity seamlessly supporting teams across the company and helping them unlock their full potential every day.

Description Designing scalable architectures, modeling complex data flows, and optimizing performance across both Relational and NoSQL databases. You'll serve as a trusted advisor, working with teams to champion best practices, elevate query performance, and unlock the full potential of our data technologies. With a forward looking approach, you will build intelligent data pipelines and harness the power of AI/ML to drive smarter workflows. Design and optimize critical infrastructure powering experiences across the organization. From Oracle and MongoDB to emerging database technologies, you will architect scalable, high performance solutions while driving innovation in data modeling, performance tuning, replication, and high availability. Additional: Expertise in designing, developing, and optimizing SQL and PL/SQL in Oracle. Strong programming skills in Python, Java, or Go. Deep understanding of database theory, performance tuning, and debugging complex systems. Experience with relational and NoSQL technologies (e.g., Oracle, MongoDB). Exposure to building and deploying ML models, including data preparation and fine-tuning. Familiarity with high-throughput systems, load balancing, and distributed architecture. A collaborative attitude and strong communication skills to guide teams and mentor peers. If you're passionate about building impactful systems, thrive in fast-paced environments, and want to help shape the future of intelligent data infrastructure, we'd love to connect.

Minimum Qualifications
  • 8+ years of hands-on experience in database engineering, including database design, data modeling, and performance tuning.
  • 5+ years of in-depth experience with Oracle databases, with strong proficiency in SQL and PL/SQL.
  • 2+ years of experience working with NoSQL technologies, particularly MongoDB.
  • 5+ years of programming experience in at least one general-purpose language such as Python, Java, or Go.
  • Bachelor's degree in Computer Science, Engineering, or a related technical field.

Preferred Qualifications
  • Solid understanding of core database concepts: indexing, normalization, query planning, ACID, isolation levels.
  • Familiarity with Linux/Unix environments, including system-level debugging and performance analysis.
  • Proven ability to troubleshoot and optimize high-performance, high-availability database systems.
  • Experience with building ML-driven data workflows and familiarity with model lifecycle (data prep, training, deployment). Understanding of Large Language Models (LLMs), fine-tuning, and techniques like Retrieval-Augmented Generation (RAG).
  • Working knowledge of cloud-based infrastructure (AWS, Google Cloud Platform, or Azure) and experience deploying databases in public or hybrid cloud environments.
  • Experience with containerized environments (Docker, Kubernetes) and infrastructure as code (e.g., Terraform, CloudFormation) Exposure to CI/CD practices for database changes and automation of database deployments. Contributions to open-source database or data infrastructure projects.
  • Experience mentoring junior engineers or leading technical design efforts across teams.

Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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 .
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.