AI, Search & Knowledge - Senior Software Development Engineer, Tech Ops

This Software Development Engineer role will encompass the entire lifecycle of ML compute platform reliability engineering. The engineer will address user queries or tickets, triage and mitigate issues, converting diagnosis processes and solutions from ad hoc to systematic, reactive to proactive, and manual to automatic. They will visualize ML platform scalability and stability, assessing their impact on development velocity and compute resource utilization. Based on the actual impact, they will prioritize engineering efforts across teams, enhancing the system’s key performance indicators.

Ensure user queries or tickets to be responded in time
Evaluate current visibility for state and performance of the system
Define and monitor system key performance indices
Design and implement operational tools and protocols, along with CI/CD processes
As a technical leader, motivate and communicate cross-teams, drive the understanding of problems and the best practice of solutions

Ability of analyzing problems in depth, determining root cause, articulate clearly and propose solutions
Solid understanding of system architecture and large-scale ML service and computational platform operations
Ability of driving a project, starting from problem statement, requirement and criteria definition, solution design, implementation, deployment until post-deployment operations; achieving the goal through a teamwork or even cross-team collaborations
Proficiency in coding with scripting and programming languages, including but not limited to - Bash, Python, Golang
7+ years experience of software development for compute infra or its operational stack, commensurate with operating cutting-edge hybrid cloud platforms

Knowledge of ML, including LLM, as well as experience in developing real, large scale ML jobs
Knowledge of ML training and production workflows, understanding dependencies among architectural building blocks
Knowledge of analytics method and pipelines, able to utilize it for visualization of platform KPIs
Experience designing and implementing systems to support ML applications
Experience in large-scale service and job deployment, using an orchestration framework (Kubernetes) and cloud services for large-scale projects
Experience in observability of system behaviors, having made decision what should be visible according to actual needs to solve specific problem
Experience and knowledge on Quality Assurance, A/B testing for large-scale systems

The AI, Search & Knowledge Platform Cloud Infrastructure Team within Apple’s Services organization designs, builds, and scales the foundational systems that power Search, and next-generation machine learning workloads. We are reimagining how infrastructure is managed through agentic, event-driven workflows, Crossplane compositions, and self-healing control planes.

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 $171,600 and $302,200, 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

At Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here — in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

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Learn about reasonable accommodations for job applicants

Apple accepts applications to this posting on an ongoing basis.