aiml - sr software data engineer, evaluation

data analytics engineer - apple services engineering

data science leader, aiml data operations

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aiml - sr software data engineer, evaluation Jobs in Cupertino

data analytics engineer - apple services engineering Jobs in Cupertino

data engineer

data engineer - camera intelligence Jobs in Cupertino

data engineer - camera intelligence

data science leader, aiml data operations Jobs in Cupertino

senior data analyst storage technologies

Apple

Apple is where individual imaginations gather together, committing to the values that lead to great work. Every new product we build, service we create, or Apple Store experience we deliver is the result of us making each other&rsquo;s ideas stronger. That happens because every one of us shares a belief that we can make something wonderful and share it with the world, changing lives for the better. It&rsquo;s the diversity of our people and their thinking that inspires the innovation that runs through everything we do. When we bring everybody in, we can do the best work of our lives. Here, you&rsquo;ll do more than join something - you&rsquo;ll add something. 
 
As a Data Analyst on Apple&rsquo;s Storage Analytics team, you&rsquo;ll play a key role in developing the fastest, most efficient SSDs for products including iPhone, iPad, Apple Watch, and Apple Silicon Macs. We&rsquo;re seeking an exceptional analyst with expertise in distributed data processing and a proven ability to transform data into actionable insights. If you&rsquo;re passionate about advancing how data is used to make Apple&rsquo;s products even better, we&rsquo;d love to hear from you! 
 
Description 
 
On the Storage Data Analytics team, we are responsible for ad hoc data analysis, developing and maintaining distributed data pipelines, and creating and supporting analysis tools. Our work focuses on Apple&rsquo;s storage solutions. The team is small and nimble, able to quickly explore ideas and present them to both storage teams and leadership. 
 
&quot;,&quot;responsibilities&quot;:&quot;Performing exploratory data analysis to assess the feasibility of investigations. 
 
Using Jupyter and Tableau to explore and visualize data, and publishing findings to client teams. 
 
Building data pipelines to extract data from HDFS, transform it in Spark, and deliver it to Postgres and Tableau. 
 
Delivering analyses through self-service dashboards as well as in-person presentations with other teams and engineering leaders. 
 
Preferred Qualifications 
 
Master&rsquo;s or PhD in Computer Engineering, Computer Science, Physics, Mathematics, or equivalent experience/skills 
 
Familiarity with distributed computation, storage, and workflow management (e.g., Splunk, Spark, Kubernetes, Kafka, Hadoop, MapReduce, Airflow, etc.) 
 
Knowledge of storage concepts, SSDs, and I/O paradigms 
 
Highly organized, creative, motivated, and results-driven 
 
Minimum Qualifications 
 
4+ years of experience in data analytics 
 
Professional programming experience with Python 
 
Experience working with relational databases and SQL 
 
Ability to lead data investigations and analysis projects with ambiguous requirements 
 
Advanced knowledge of statistics and modeling 
 
Experience visualizing and presenting analyses using tools such as Jupyter and Tableau 
 
Excellent written, verbal, and data communication skills 
 
BS in Computer Engineering, Computer Science, Physics, Mathematics, or equivalent experience/skills 
 
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 . 
 
Pay &amp; 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 $147,400 and $272,100, 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.

Senior Data Analyst - Storage Technologies

We are looking for a Senior Software Engineer to join our Data Engineering Infrastructure team, which builds and operates the foundational platforms that power data ingestion, transformation, and analytics across the organization. You will design and develop high-performance, reliable, and scalable systems that enable data engineers, analysts, and ML practitioners to move, process, and govern data efficiently and securely. 
 
Description 
 
As a Senior Software Engineer in the Data Engineering Infrastructure team, you will design and build distributed systems and frameworks that automate the lifecycle of data - from ingestion to transformation to serving. You&rsquo;ll work at the intersection of software engineering, distributed data processing, and cloud infrastructure, helping to define the standards, abstractions, and tools that enable our data platform to operate at scale. 
 
You will collaborate closely with teams across data engineering, analytics, ML, and platform engineering to deliver resilient infrastructure components such as data ingestion pipelines, metadata and schema management services, workflow orchestration, and monitoring frameworks. This is a hands-on role where you will influence architecture, write production-grade code, and drive engineering excellence across the data platform.&quot;,&quot;responsibilities&quot;:&quot;Design, build, and maintain scalable data infrastructure and frameworks supporting batch and streaming workloads. 
 
Develop common services for data ingestion, schema evolution, metadata management, and data quality enforcement. 
 
Implement automation for data pipeline deployment, monitoring, and governance. 
 
Collaborate with data engineers and platform teams to define APIs, SDKs, and libraries that make developing data applications simpler and safer. 
 
Improve performance, reliability, and observability of data pipelines and platform components. 
 
Participate in architecture reviews, code reviews, and technical design discussions. 
 
Drive adoption of best practices in distributed systems, storage formats (Parquet, Iceberg), and data access layers. 
 
Contribute to capacity planning, cost optimization, and operational excellence in cloud and on-prem environments. 
 
Mentor junior engineers and contribute to the overall technical strategy and roadmap for the data platform. 
 
Preferred Qualifications 
 
Deep expertise in optimizing and troubleshooting distributed data frameworks (e.g., Apache Spark internals, Flink stateful streaming, Kafka Connect) 
 
Advanced experience with workflow orchestration tools (e.g., Airflow, Prefect, Dagster), including custom development 
 
Proven track record in performance tuning, cost optimization, and designing comprehensive observability solutions for large-scale cloud data platforms 
 
Familiarity with data security, privacy, and compliance principles within data infrastructure 
 
Experience integrating data platforms with MLOps and machine learning workflows 
 
Active participation or contributions to relevant open-source data technologies or industry communities 
 
Master&rsquo;s or Ph.D. degree in Computer Science, Data Engineering, or a related quantitative field 
 
Minimum Qualifications 
 
12+ years of experience in software engineering, with at least 5 years focused on data systems or platform infrastructure 
 
Proven track record of leading design discussions, mentoring engineers, and driving cross-team technical initiatives 
 
Strong programming skills in Java, Python; Scala - nice to have 
 
Hands-on experience designing, developing, and operating high-performance backend services 
 
Hands-on experience with distributed data frameworks such as Spark, Flink, or Kafka 
 
Solid understanding of data modeling, storage formats (Parquet/Avro/ORC), and partitioning strategies 
 
Experience with data governance, cataloging, and schema management systems (e.g., Hive Metastore, Glue, Iceberg, Delta Lake) 
 
Experience working with cloud-based data platforms (AWS, GCP, or Azure) 
 
Experience building data infrastructure frameworks, SDKs, or shared libraries used by multiple data teams 
 
Familiarity with CI/CD, container orchestration (Kubernetes), and infrastructure-as-code tools (Terraform, CloudFormation) 
 
Excellent problem-solving, debugging, and communication skills 
 
Bachelor&rsquo;s degree in Computer Science, Engineering, or related field (or equivalent practical experience) 
 
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 . 
 
Pay &amp; 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 $181,100 and $318,400, 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.

Senior Software Engineer - Data

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Do you love thinking analytically? Are you passionate about solving complex business problems in a fast-paced environment? The AIML Data Operations group engages with teams across Apple&rsquo;s ecosystem with the ultimate goal of delivering high-quality annotated data in support of unreleased products and ground breaking AI technology. Within the Data Operations organization, the Capacity Planning &amp; Analytics team provides forecasting, capacity planning and optimization, data products, metrics reporting, modeling &amp; experimentation, and ad hoc analyses. 
 
We are seeking a highly motivated Senior Data Scientist to lead analysis into annotation project trends to uncover patterns in annotator performance, task complexity, and data characteristics to help optimize task design. You will translate behavioral insights and empirical findings into optimized project structures and workflows, and power capacity planning &amp; optimization with quantitative rigor-all to ensure we consistently launch projects that are smarter in design, faster in execution, and uncompromising in quality. You will partner closely with Data Ops Client Engagement, Human Factors engineering and annotation customers to collaborate on the most effective methods. 
 
Description 
 
The ideal candidate for this role is an experienced data scientist with deep expertise in analytics and experimentation, who excels at building strong cross-functional relationships to drive data-informed decisions across the company, and is skilled at partnering with operations and engineering teams to surface and communicate key data insights that improve performance and customer experience at a global scale.&quot;,&quot;responsibilities&quot;:&quot;As a Data Operations Capacity Planning &amp; Analytics Data Scientist, you will: 
 
Analyze trends across projects to identify patterns in annotator performance, task complexity, and data characteristics that inform more effective project scoping design and guideline development. 
 
Evaluate which tasks and data types benefit most from automation and work with customers to optimize against. 
 
Translate behavioral insights and empirical trends into optimized project structures, ensuring our annotation workflows are designed for both efficiency and quality before projects launch. 
 
Partner with cross-functional teams to design, run, and analyze A/B experiments, establishing best practices for project structure. 
 
Contribute to capacity forecasting and optimization by converting quantitative decision-making into forecast drivers and scenarios. 
 
Identify key factors that lead to improving productivity and quality. 
 
Contribute to development of a holistic view of analyst behaviors across the various platforms, and identify synergies that drive a more positive analyst experience and efficiency gains 
 
Preferred Qualifications 
 
Masters degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. 
 
Experience with the deployment of Large Language Models / Generative AI in service of efficiency in operations 
 
Excellent communication and presentation skills with meticulous attention to detail and the ability to collaborate effectively between business and analytic teams at multiple levels of the organization 
 
Passion for AIML and Operations, with a consistent track record of operational results. 
 
Minimum Qualifications 
 
Bachelors degree in Computer Science, Statistics, Mathematics, Engineering, Economics or related field. 
 
4+ years of experience in data science with proven skills in developing meaningful and concise analytic objectives from general business goals 
 
Tested capabilities and comfort in scalable schema designs, relational database and big data technologies, ETL, code management, and query performance optimization 
 
Mastery in SQL-based languages, and proficiency in at least one large-scale data languages 
 
Strong hands-on experience interpretable with machine learning models and sophisticated analytic solutions using scripting tools such as Python or R 
 
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 . 
 
Pay &amp; 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 $172,100 and $258,600, 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.

Data Scientist, AIML Data Scientist

We&rsquo;re looking for a Senior Software Engineer to help build the next generation of large-scale data systems that power high-impact decisions across Siri. In this role, you'll operate at the intersection of engineering excellence and business impact. You&rsquo;ll design and implement scalable, reliable systems to transform raw data into actionable insights for leadership. This is a high-visibility, high-impact position with the opportunity to influence the direction of products and strategy. 
 
The Siri User Experience Metrics team is at the heart of shaping how users interact with Siri every day. We use data, metrics and insights to continuously improve Siri&rsquo;s User Experience across Apple platforms including iOS, macOS, visionOS, tvOS and watchOS. 
 
Our team defines and owns the most critical user facing metrics, identifies quality issues, builds scalable reporting tools and delivers actionable insights that directly inform product decisions. We collaborate closely with product, platform and feature teams to ensure Siri not only works - but delivers exceptional User Experience. From response time to failure tracking, we make sure Siri feels fast, natural and helpful wherever users need it. 
 
As a Senior Software Engineer on the Siri User Experience Metrics team, you will have significant influence and responsibility in identifying and alert on quality issues using data and metrics to shape Siri&rsquo;s User Experience. 
 
If this sounds like you, you're someone who&rsquo;s laser-focused on impact - bringing sharp programming skills, strong problem-solving abilities and clear communication to the table, all driven by a passion for building exceptional products. 
 
You'll have the opportunity to drive meaningful impact across all Apple platforms by collaborating closely with Engineering, Product, Testing and Quality teams. Your work will directly enhance the Siri experience for billions of users - shaping how people interact with Apple every day. 
 
Description 
 
Join us in building the data backbone of Siri&rsquo;s regression detection system - the platform that enables engineering teams and senior leadership to see, understand, and improve product quality. In this role, you&rsquo;ll build large-scale data systems that power metrics observability at scale. Success in this role means not only technical excellence, but also the ability to collaborate across teams, communicate effectively and align diverse stakeholders around solving complex, high-impact challenges. 
 
You thrive in fast-paced, dynamic environments and are comfortable navigating ambiguity to deliver meaningful, incremental impact. You bring strong problem-solving skills, operate with a high degree of autonomy and have a track record of executing effectively. With a commitment to continuous learning and attention to detail, you actively seek opportunities to innovate and share knowledge. You follow engineering best practices - including unit testing, CI/CD, documentation, monitoring, and alerting - to ensure reliable, maintainable solutions. In this role, you&rsquo;ll collaborate closely with stakeholders to understand metric needs, provide technical guidance, gather requirements and deliver robust data solutions and intuitive dashboards. 
 
Preferred Qualifications 
 
Experience supporting the end-to-end machine learning lifecycle, including data ingestion, feature pipelines, batch inference, and model monitoring in production environments. 
 
Hands-on experience building, scheduling, and maintaining data and ML workflows using orchestration frameworks such as Apache Airflow 
 
Experience working in cloud environments (AWS, GCP, or Azure) and integrating data pipelines with cloud-native storage and compute services 
 
Minimum Qualifications 
 
7 years of development experience and Bachelors or Masters degree in Computer Science or related field or 5 years development experience and PhD in Computer science or related field. 
 
Expert knowledge of one or more object-oriented programming languages (Java, Objective-C, C++, Scala, Swift etc) or scripting languages (Python, Ruby, Bash etc.). 
 
Experience working with Spark or other distributed data technologies (e.g. Hadoop, Presto, Flink, Druid) for building efficient and large scale data systems. 
 
Expertise in development of big data systems and ETL for product metrics and analysis of large data volumes to identify patterns, draw insights and troubleshoot issues. 
 
Knowledge of SQL to analyze data, derive insights and drive improvements. 
 
Leadership experience, including being a technical lead for complex, cross functional development projects demonstrating good technical judgement and prioritization skills. 
 
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 . 
 
Pay &amp; 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 $181,100 and $318,400, 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.

Sr Software Engineer, Siri User Experience Metrics and Data

Imagine the possibilities here. At Apple, new ideas swiftly transform into extraordinary products, services, and customer experiences. With passion and dedication, you can achieve remarkable things. Here, dynamic and hardworking individuals, coupled with inspiring and innovative technologies, are the norm. 
 
Our passion for innovation extends beyond our products to our practices, solidifying our commitment to leaving the world better than we found it. Join us in delivering the next groundbreaking Apple product. 
 
Are you passionate about tackling unsolved challenges? As a member of our dynamic group, you&rsquo;ll have the unique and rewarding opportunity to design upcoming products that will delight and inspire millions of Apple&rsquo;s customers daily. 
 
Are you passionate about building products that harness the power of artificial intelligence, machine learning, and computer vision? Do you have the expertise to apply cutting-edge knowledge to create innovative AI camera features for Apple&rsquo;s products, such as the iPhone or iPad? If you&rsquo;re an exceptional data engineer, the Camera Intelligence team is seeking you to join us in building our next generation of camera features. 
 
Description 
 
We are seeking a Data Engineer to join our team to leverage the potential of artificial intelligence in Apple's cameras. In this highly collaborative role, you will partner with data collection/annotation teams, ML researchers, and camera feature teams to integrate models, design data pipelines, and shape the data requirements for next-generation camera intelligence features. An ideal candidate should possess experience with modern machine learning workflows, a solid grasp of deep learning and the data requirements of modern network architectures.&quot;,&quot;responsibilities&quot;:&quot;Work and communicate cross functionally with ML researcher and annotation teams. 
 
Drive our ML data efforts. 
 
Design and implement data pipelines. 
 
Support our model selection process. 
 
Preferred Qualifications 
 
Deep understanding of concurrency, parallelism, and working with S3-like object storage systems 
 
Experience with efficient data storage formats for ML workflows (LMDB, HDF5, Parquet, or similar) 
 
Experience building ETL pipelines for image/video datasets and ML training workflows. 
 
Minimum Qualifications 
 
Excellent written and verbal communication skills. 
 
Proven ability to collaborate across multiple teams including data collection/annotation, ML researchers, and camera feature teams. 
 
Strong programming skills in Python with hands-on experience with Dask for distributed data processing 
 
Familiarity with ML frameworks (TensorFlow, PyTorch) and modern deep learning architectures 
 
Understanding of imaging fundamentals: raw sensor data, ISP outputs, color spaces, and image quality metrics. 
 
Ability to work independently and resolve infrastructure challenges with minimal support. 
 
Bachelor's degree in Computer Science, Engineering, or related field with relevant experience in data engineering and computer vision/imaging domains. 
 
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 . 
 
Pay &amp; 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 $141,800 and $258,600, 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.

Data Engineer - Camera Intelligence

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish! Do you love thinking analytically? Are you passionate about using your financial knowledge to navigate sophisticated challenges? Just as our customers find value in Apple products, the Finance group finds value for both Apple and its shareholders. 
 
Description 
 
As a Senior Cloud Technical Lead in the Infrastructure Finance organization, you will shape the financial and business strategy of our internal cloud services and platforms. You&rsquo;ll develop and own economic models that quantify cost, efficiency, and return on investment, partnering closely with engineering to evaluate capacity, performance, and scaling trade-offs. This is a high-impact, cross-functional role at the intersection of finance, capacity, engineering, and strategy-ideal for a proven leader who combines deep curiosity with the ability to turn complex data into actionable insight and long-term value.&quot;,&quot;responsibilities&quot;:&quot;Develop and maintain cost and economic models across compute, storage, and network platforms. 
 
Design internal chargeback frameworks and strategic pricing structures. 
 
Lead strategic business reviews with senior leadership to align infrastructure strategy with financial outcomes. 
 
Deliver financial insights and recommendations that guide trade-offs between performance, resilience, and cost. 
 
Build frameworks for build-vs-buy evaluations and investment decision-making. 
 
Partner with engineering to identify and drive cost-efficiency and optimization opportunities. 
 
Conduct comparative analysis of private- vs. public-cloud infrastructure economics. 
 
Champion process improvements, tooling enhancements, and automation. 
 
Preferred Qualifications 
 
9+ years of experience with cloud services and infrastructure platforms, including deep exposure to public cloud (AWS, GCP) and private/on-prem environments. 
 
Expertise in financial cost modeling, TCO analysis, and capital investment evaluation. 
 
Deep understanding of the cloud and infrastructure stack-compute, storage, network systems, and hyperscale platform ecosystems. 
 
Proven ability to partner effectively with engineering and technical teams to align financial and operational goals. 
 
Advanced proficiency in SQL and Excel, with the ability to analyze and interpret large, complex financial, engineering, and operational datasets. 
 
Highly organized, action-oriented, and accountable, with a track record of integrity and follow-through. 
 
MBA, CFA, or advanced degree in Finance, Economics, Engineering, or a related quantitative field. 
 
Deep knowledge of datacenter architecture, including compute, storage, networking, and virtualization. 
 
Experience with FinOps (financial operations), particularly capacity modeling, forecasting, cost optimization and scenario planning for large-scale infrastructure. 
 
Demonstrated ability to influence technical and non-technical stakeholders, including engineering, finance, supply chain, and executive teams. 
 
Prior experience within a hyperscale cloud provider, data-center operator, or enterprise infrastructure planning team. 
 
Excellent collaboration, communication, and storytelling skills, capable of translating complex data into executive-ready insights. 
 
Minimum Qualifications 
 
7+ years of experience with cloud services and infrastructure platforms, including deep exposure to public cloud (AWS, GCP) and private/on-prem environments. 
 
5+ years of relevant experience within a Finance team, with exposure to forecasting, fiscal planning, cost allocations, and core accounting principles 
 
Bachelor&rsquo;s degree in Finance, Economics, Accounting, Engineering, or a related quantitative field. 
 
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 . 
 
Pay &amp; 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 $203,300 and $305,600, 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.

Infrastructure Finance, Senior Cloud Technical Lead

Imagine what you could do here. At Apple, great ideas have a way of becoming phenomenal products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Do you love solving complex challenges? Are you an inventive self-starter who takes pride in making ideas come to life on a global scale? Are you passionate about developing big-data platforms using creative algorithms to process petabytes of data with very low latency? Are you passionate about Cloud Technologies, have a proven track record in designing and implementing scalable solutions, love solving complex challenges and thrive in a collaborative team environment? If so, join Apple Services Engineering (ASE) Data Platform team to design and build a scalable big-data platform that is used across Apple. As part of Apple Services Engineering (ASE), you will have a meaningful role in designing, developing, and deploying high-performance systems that handle millions of queries every single day. This enormous scale brings challenges that require extraordinarily creative problem-solving. By focusing on and respecting the customer's needs, you'll be responsible for helping us build the technology that works for so many customers around the world. We are looking for engineers who are passionate about crafting big-data products. This role requires a deep understanding of developing products that are highly scalable, highly available, and fully fault tolerant. 
 
Description 
 
As part of the Data Platform team, you will have a meaningful role in designing, developing, and deploying high-performance systems that handle millions of online events and queries daily. This enormous scale brings challenges that require extraordinarily creative problem-solving. We are building and supporting critical infrastructure and frameworks that provide and support services like structured and unstructured storage, caching, queueing, searching, and much more. We are looking for a strong, enthusiastic developer to join as a member of this group. You will have a tremendous amount of individual responsibility and influence over the direction of critical services for years to come. You are someone with ideas and a real passion for software delivered as a service to improve reuse, efficiency, and simplicity.&quot;,&quot;responsibilities&quot;:&quot;Design, develop, and deploy large-scale data processing frameworks and applications on cloud-based infrastructure such as AWS and GCP. 
 
Build and maintain highly reliable, distributed systems using programming languages such as Go, Java, and Scala, 
 
Develop and manage infrastructure through Infrastructure as Code (IaC) tools such as Pulumi and Crossplane. 
 
Collaborate with cross-functional teams to integrate cloud infrastructure solutions into data platform products and services. 
 
Implement and manage containerization and orchestration technologies, including Docker and Kubernetes. 
 
Architect large-scale, complex applications with strong runtime performance, including low latency, fault tolerance, and high availability. 
 
Contribute to the full lifecycle of system design, ensuring scalability, reliability, and maintainability. 
 
Preferred Qualifications 
 
Experience engineering modern Analytics and Data technologies like Spark, Flink, Iceberg, Trino, Jupyter, Druid, etc. at scale is a plus 
 
Experience with contribution to Open Source projects is a plus 
 
Minimum Qualifications 
 
5+ years experience designing, developing, and deploying large-scale data processing frameworks and applications on cloud-based infrastructure such as AWS, GCP, etc. 
 
Strong programming expertise in Go, Java, Scala, and scripting languages, preferably with critical, large-scale distributed systems. 
 
Proficiency in Infrastructure as Code (IaC) tools. 
 
Experience with containerization and orchestration (e.g., Docker, Kubernetes). 
 
Ability to design large-scale, complex applications with excellent run-time characteristics such as low latency, fault-tolerance, and high availability 
 
A learning attitude to continuously improve the self, team, and the organization 
 
Deeply concerned about excellence and quality 
 
Loves fast-paced environment and learning/leveraging new technologies 
 
Bachelor&rsquo;s degree or Masters in Computer Science, Computer Engineering, or equivalent 
 
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 . 
 
Pay &amp; 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 $147,400 and $272,100, 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.

Senior Software Engineer, Apple Data Platform

Explore 85+ Senior data analyst storage technologies in Cupertino this March. Find roles across top companies and apply now to boost your career.