AI, Search & Knowledge - Senior Software Development Engineer, Tech Ops
Apple - Seattle, United States of America
Posted Mar 2, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
- Not verified last checked Jun 13, 2026
- Salary
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- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
AI, Search & Knowledge - Senior Software Development Engineer, Tech Ops Seattle, United States of America 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. 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 Minimum Qualifications: 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
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