8 jobs for "Senior Software Engineer (Sanctions Service & AI Inference)"

Software Engineer, Data Services, IS&T Ai & Data Platforms

At Apple

Posted on Oct 17

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Software Engineer (Transactional), AI & Data Platforms (AiDP)

At Apple - Sunnyvale

Posted on Oct 17

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Software Engineer (Data Analytics), AI & Data Platforms (AiDP)

At Apple - Sunnyvale

Posted on Oct 17

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Senior Software Engineer, Enterprise Technology Services

At Apple - Austin

Posted on Oct 12

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Software Engineer, Data Services, IS&T Ai & Data Platforms

At Apple

Posted on Oct 11

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Software Engineer, Data Services, IS&T Ai & Data Platforms

At Apple

Posted on Oct 17

View job Apply on company site

Software Engineer, Data Services, IS&T Ai & Data Platforms

At Apple

Posted on Oct 17

View job Apply on company site

Software Engineer (Data Analytics), AI & Data Platforms (AiDP)

At Apple - Sunnyvale

Posted on Oct 17

View job Apply on company site

Apple

Software Engineer (Data Analytics), AI & Data Platforms (AiDP)

Sunnyvale, CA$150,400 – $225,300Posted 22 days ago

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Why you should apply for a job to Apple:

Ranked as one of the Best Technology Companies in 2020
3.7/5 in overall job satisfaction
3.1/5 in supportive management
66% say women are treated fairly and equally to men
65% would recommend this company to other women
66% say the CEO supports gender diversity

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Apple's AI & Data Platform (AiDP) Data Services organization is seeking a motivated Software Engineer, Data Analytics focused on providing data analytics and search services. Engineers on this team build data processing platforms and develop required tooling for Apple's most critical internet services at massive scale. In AiDP, your work will benefit hundreds of millions of users.

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning - including generative AI - along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

Description

The AiDP Data Services Analytics team builds data analytics and search capabilities - provisioning, backup/restore, observability, and self-service - spanning OpenSearch, ClickHouse, SingleStore, Couchbase, Apache Doris, Apache Milvus, etc. This role involves supporting data processing and migration efforts across hybrid-cloud environments (On-Prem ↔ AWS ↔ AliCloud) following established Runbooks and adhering to local data residency and regulatory requirements (e.g., China's Cybersecurity Law and PIPL). This role requires good communication and collaboration with infrastructure teams and colleagues across a distributed team.","responsibilities":"Build and run data processing platforms with required monitoring, alerting, and incident management, achieving growing independence

Build working knowledge of data analytics and search concepts (distributed data processing, fast querying, consistency models) across OpenSearch, ClickHouse, Couchbase, Doris, Milvus, etc.

Support performance engineering efforts (profiling, tuning) under guidance from senior team members

Assist with service management across bare metal, virtualized (EC2, AliCloud ECS), and containerized (K8s) style platforms

Execute and support data migration tasks across hybrid clouds, including validation and rollback support

Build understanding of operating systems and datacenter architecture concepts relevant to transactional workloads

Produce and maintain clear documentation - Runbooks, architecture diagrams, and migration playbook updates

Support compliance with local data residency and regulatory requirements applicable to China-based infrastructure

Preferred Qualifications

Some operational experience with stateful services on Kubernetes

Exposure to database-as-a-service control planes, provisioning APIs, or self-service tooling

Experience assisting with cross-cloud / hybrid-cloud data migrations for transactional systems

Familiarity with observability concepts (SLIs/SLOs), backup, and DR practices for OLTP/distributed-SQL engines

Solid troubleshooting skills, a resourceful first-principles approach to problem solving, and good technical writing habits

Contributions to open-source database projects or internal data-platform tooling

Minimum Qualifications

3+ years experience in data analytics and/or data search space

Experience and knowledge of Python programming language

Production experience on data analytics database such as Clickhouse etc.

Exposure to running infrastructure with reliance on automation tooling, across Datacenter and Cloud architectures (including Alibaba Cloud and/or AWS)

Bachelor's or Master's degree in Computer Science or a related work experience

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 $150,400 and $225,300, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology: Manufacturing

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