field application engineer - data center systems Jobs in Seattle

field application engineer - data center systems

senior application developer- data products Jobs in Seattle

senior application developer- data products

senior data scientist

software engineer iii, infrastructure, ai and infrastructure Jobs in Seattle

software engineer iii, infrastructure, ai and infrastructure

data engineer

Cerium Networks

<div>Description:

About Us
Cerium Networks is a leading technology solutions integrator and Managed Services Provider. We connect businesses to their potential. We specialize in advanced cybersecurity, robust communications and networking, and unified communications and collaboration tools. Our services also include contact center management, scalable data platforms for analytics and AI, and 24/7 IT support. With a consultative approach and deep technical expertise, we deliver and support advanced technology solutions to drive innovation and excellence in IT services. Join us to be part of a team committed to excellence.
We are seeking a skilled Data Engineer to join our dynamic Data &amp; AI consulting team to help architect and build out modern data estates for our clients. Primary responsibilities focus on post-sales delivery and strategy of data solutions to our clients.
What You&rsquo;ll Do<ul><li>
You will be responsible for designing, implementing, and optimizing data solutions for our clients.</li><li>
You will deploy data platforms in a medallion architecture for Cerium clients.</li><li>
You will leverage advanced data architectures to modernize our clients&rsquo; data estates to better integrate with Generative AI platforms.</li><li>
You will create data pipelines, develop data models, and provide strategic insights through data analytics and visualization tools.</li><li>
You will assist in the adoption of data technologies and provide training and documentation.</li><li>
You will help define service offerings for Cerium to design, propose, and sell to clients including products and services to deliver.</li><li>
You will support the presales and sales teams in designing and proposing solutions as needed. This includes providing technical consulting services to clients by presenting solutions and performing administrative handoffs to ensure smooth transitions post-implementation.</li></ul>
Requirements:

What We&rsquo;re Looking For
Required<ul><li>
Bachelor&rsquo;s degree in computer science, data science, Information Technology, software engineering, or a related field or equivalent experience.</li><li>
7+ years of experience in data engineering and solution design.</li><li>
Must have experience with Microsoft data solutions, Fabric preferred.</li><li>
Experience consulting with clients and translating complex technical concepts into simple, understandable terms for non-technical audiences.</li><li>
Ability to manage multiple tasks, projects, and clients simultaneously.</li><li>
Experience and Interest in mentoring Junior Data Professionals.</li><li>
Customer service skills and experience.</li><li>
Strong organization and documentation abilities.</li><li>
Willing to travel 10-20% of the time depending on client needs.</li></ul>
Preferred<ul><li>
Certifications across data solutions preferred but not required: Microsoft Certified Fabric Analytics Engineer Associate, Microsoft Certified Fabric Data Engineer Associate, Microsoft Certified Azure Data Engineer Associate, Microsoft Certified Azure Data Science Associate</li><li>
Experience with Microsoft Fabric.</li></ul>
Location: Spokane, WA; Boise, ID; Seattle, WA; Beaverton, OR
Schedule: Monday-Friday, Hybrid (2-days onsite, 3-days remote)
Compensation<ul><li>
Pay Range: $110,000 to $150,000</li><li>
Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance.</li></ul>
Benefits<ul><li>Medical, dental and vision Insurance</li><li>Basic term life and AD&amp;D insurance (fully paid for by the company)</li><li>Paid time off annually: 15 days of PTO and 9 paid holidays</li><li>401(k) Plan and Employer Matching Contribution of 4%</li><li>Wellness program that includes up to $500 in cash awards</li><li>Employee Assistance Program</li></ul></div>

Data Engineer

Starbucks

<div>Now Brewing &ndash; Application Developer Sr. &ndash; Data Engineering &amp; Reporting Solutions! #tobeapartner 
 
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Senior Application Developer on the Data Engineering &amp; Reporting Solutions Team, you will be responsible for designing and developing intelligent, data-driven applications and pipelines that leverage AI and automation to enhance reporting and analytics capabilities. You will integrate advanced machine learning models and AI-powered data processing techniques to deliver predictive insights and optimize decision-making. Collaborating with cross-functional teams, you will translate business requirements into scalable, cloud-based solutions, ensuring data integrity, security, and performance while driving innovation through AI-driven reporting and visualization tools. 
As a Application Developer Sr., you will&hellip;
Technical Design and Implementation<ul><li>
Collaborates in planning, decomposing, estimating, scheduling, prioritization and resource allocation exercises. Mitigates risk with prototypes for complex problems as appropriate. Build incrementally, with an eye toward vision of the final product. Provides transparency in approach and progress, throughout the process.</li><li>
Participates in the solution design process: requirements gathering and backlog refinement, shapes and guides systems approach, helps with project initiation, contributes to functional design, and leads technical design and development.</li><li>
Develops software solutions to business problems. Leverages established design patterns and coding standards. Builds solutions that are secure, durable, scalable, flexible, and accessible and proactively mitigate against production support issues.</li><li>
Automates test coverage per platform capabilities and requirements. Establishes and maintains continuous build and integration testing on applicable platforms and assists with manual system and integration testing efforts.</li><li>
Key contributor and driver in the deployment approach, including planning and execution, data conversion approach, script development and execution, warranty period and transition of the solution to the platform's operational context.</li><li>
Operates in both waterfall and Agile Software Development Lifecycle (SDLC) processes and methodologies. 
 
Platform Stewardship</li><li>
Proactively participates in helping shape candidate solutions on the platform. This consultative part of the role explores the business capability portfolio to guide and direct solution options to ensure health of the platform.</li><li>
Plays a creative role in the Platform Stewardship portfolio. Contributes to the vision, roadmap, and platform investments needed to take our business solutions to the next level. Identifies, influences, sells and prioritizes innovative platform opportunities, as well as technical debt, with regular reviews, creating programs and solutions to raise the level of the platform offering or remediate systemic operational problems.</li><li>
Partners with cross functional teams, such as Infrastructure, Security, Architecture, QA and key Development teams, to strengthen and elevate the platform from a technology perspective. Successfully drives designs and solutions through enterprise processes and governance to ensure compliant, secure and supportable solutions.</li><li>
Deepens vendor relationships to understand and influence vendor product offerings and roadmaps, improves support engagement and gains insight into technology trends.</li><li>
Contributes to the platform development community by providing input, content and feedback on design patterns, coding standards, and shared libraries.</li></ul> 
<div>
We&rsquo;d love to hear from people with:
Basic Qualifications<ul><li>
10+ years of professional industry experience with software development</li><li>
Bachelor&rsquo;s degree in computer science or related field</li><li>
Expertise in working with Databricks &amp; BI-Apps.</li></ul> 
Preferred Qualifications
Technical Proficiency<ul><li>
Knowledge of data structures, algorithms and computer science concepts relative to the platform.</li><li>
Mastery of relevant development languages, tools, frameworks, utilities and technical dependencies.</li><li>
Understanding of implications from design and implementation choices toward building secure, scalable, durable,flexible, accessible solutions.</li><li>
Aptitude to pick up new technologies and trends, as they become relevant for the business and our platforms. Examples include IoT, Big</li><li>
Data, REST Services, mobile, and incorporating cloud components.</li><li>
Ability to write and value high quality, reusable software with minimal defects.</li><li>
Ability to learn and incorporate new technologies, concepts and development languages.</li><li>
Thorough understanding of data transport mechanisms and integrations including synchronous, asynchronous, bulk data, tightly and loosely coupled methods.</li><li>
Working understanding of application architecture, infrastructure and security concepts and technical implementation.</li><li>
Ability to analyze, diagnose and propose solutions to user problems.</li><li>
Ability to understand and escalate technical challenges with options and recommendations.</li></ul> 
Domain Proficiency<ul><li>
Thorough understanding of relevant platform and applications, including established API&rsquo;s, system activity components, process flows, the underlying data model, implementation specifics of important business rules, batch jobs, user interface components, and application configuration.</li><li>
Experience in designing and developing relevant enhancements on top of industry COTS (Commercial Of The Shelf) applications that differentiate and/or provide competitive advantage.</li><li>
Knowledge of business context and trends, as well as the business customers&rsquo; opportunities. Awareness of the functional aspects of the solution.</li></ul> 
Advanced Technical Skills<ul><li>
Proficiency in Python, SQL, and modern ETL frameworks for data engineering.</li><li>
Experience with data modeling, data warehousing, and reporting solutions (Power BI, Tableau, or similar).</li><li>
Hands-on experience with cloud platforms (Azure, AWS, or GCP) and services like Azure Data Factory, Databricks, or Snowflake.</li><li>
Familiarity with big data technologies (Spark, Hadoop) and distributed computing.</li></ul> 
AI &amp; Machine Learning Integration<ul><li>
Practical experience integrating AI/ML models into data pipelines for predictive analytics and intelligent reporting.</li><li>
Knowledge of ML frameworks (TensorFlow, PyTorch, Scikit-learn) and MLOps practices for model deployment and monitoring.</li><li>
Ability to design AI-driven automation for data cleansing, anomaly detection, and trend forecasting.</li></ul> 
Application Development &amp; Automation<ul><li>
Expertise in API development and microservices architecture for data and AI services.</li><li>
Experience with CI/CD pipelines, DevOps, and containerization (Docker, Kubernetes) for scalable deployments.</li><li>
Familiarity with orchestration tools for AI workflows (e.g., Airflow, MLflow).</li></ul> 
Data Governance &amp; Responsible AI<ul><li>
Understanding of data security, privacy compliance (GDPR, HIPAA), and ethical AI principles.</li><li>
Experience implementing data quality checks, bias detection, and model explainability.</li></ul> 
Analytical &amp; Problem-Solving<ul><li>
Ability to design optimized, AI-enhanced data pipelines for large-scale analytics and reporting.</li><li>
Strong troubleshooting skills for performance tuning, query optimization, and model accuracy improvements.</li></ul> 
Leadership &amp; Collaboration<ul><li>
Proven track record of mentoring developers and promoting AI best practices.</li><li>
Strong communication skills for collaboration with data scientists, analysts, and business stakeholders.</li></ul> 
Certifications (Preferred)<ul><li>
Microsoft Certified: Azure Data Engineer Associate or Azure AI Engineer Associate.</li><li>
AWS Certified Machine Learning &ndash; Specialty or equivalent cloud AI certifications.</li></ul><div> 
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits. Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year. Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools. Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor&rsquo;s degree through Arizona State University&rsquo;s online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities. You will also have access to backup care and DACA reimbursement. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com. 
<ul><li>If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, you will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.</li></ul></div>
The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity. At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
We believe we do our best work when we're together, which is why we're onsite four days a week 
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. 
 
We are committed to creating a diverse and welcoming workplace that includes partners with diverse backgrounds and experiences. We believe that enables us to better meet our mission and values while serving customers throughout our global communities. People of color, women, LGBTQIA+, veterans and persons with disabilities are encouraged to apply. 
 
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal state and local ordinances. Starbucks Corporation is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com.</div></div>

Apple

The cloudOS team is responsible for all facets of delivering OS and system services on Apple silicon servers, including driving hardware and software initiatives to enable new Apple silicon-based systems in data centers. 
 
Description 
 
The Cloud OS System Software Team is looking for an exceptional software engineer to build and integrate software to orchestrate workloads across highly performant and energy efficient systems that will power the next generation of data centers. 
 
In this highly collaborative role, you will be at the center of multiple efforts to utilize hardware acceleration for machine learning and high performance computing workloads. You will be part of a team that builds and maintains system software such as runtime libraries, frameworks, and daemons that will power the next generations of data centers. You will partner with teams across Apple to adapt, tailor, and scale software on a novel compute platform and will help to build the foundation of our future cloud architecture. 
 
We are seeking a skilled Software Engineer to join our System Software Team focused on optimizing and maintaining the core infrastructure of our data center environments. You will work on enhancing operating system performance, scalability, and reliability, ensuring seamless operations for large-scale distributed systems. 
 
If you&rsquo;re passionate about system engineering and optimizing OS performance at scale, we&rsquo;d love to hear from you!&quot;,&quot;responsibilities&quot;:&quot;Develop, maintain, and optimize OS-level components for data center infrastructure. 
 
Collaborate with cross-functional teams to improve performance, security, and resource efficiency across distributed systems. 
 
Troubleshoot and resolve low-level OS issues, networking bottlenecks, and hardware-software integration challenges. 
 
Contribute to the development of automation, monitoring, and diagnostic tools to improve system reliability. 
 
Participate in code reviews, design discussions, and architectural decisions related to OS-level services. 
 
Stay up to date with emerging OS technologies, virtualization, and containerization trends in data center environments. 
 
Design, implement, and maintain system daemons that manage hardware components and host processes 
 
Implement robust fault detection and recovery mechanisms for hardware and daemon failures. 
 
Preferred Qualifications 
 
Familiarity with init systems (systemd, launchd, upstart) and service orchestration. 
 
Knowledge of distributed systems, cloud computing, and large-scale data center infrastructure is a plus. 
 
Experience with Swift, Objective-C and Apple development tools 
 
Experience with AI accelerators (GPUs, TPUs, ASICs) or distributed systems 
 
Knowledge of container technologies (Docker, Kubernetes) and AI workload orchestration. 
 
Minimum Qualifications 
 
4+ years of software engineering experience 
 
Proficiency in one of C/C++, Obj-C, Swift 
 
Strong knowledge of OS architecture, and low-level system components. 
 
Passion for software architecture, APIs, and high performance extensible software 
 
Excellent communication skills 
 
Creative, collaborative, and product-focused 
 
Solid understanding of Linux or Apple OS system programming, including process management, IPC, signals, and daemon lifecycle. 
 
Bachelors or Masters in Computer Science, Computer Engineering, or equivalent 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 .

System Software Engineer

We are the Workload Identity team in the Apple Services Engineering Security org. Our team&rsquo;s primary responsibility is to manage and establish identities for software applications, services, and containers to securely access cloud resources, ensuring proper authentication and authorization for these workloads without requiring manual credential management. 
 
We are expanding our team and looking to add a Senior Software Engineer who will play a critical role in ensuring our customers adhere to the latest and most effective security practices for addressing identity. We are looking for a passionate and talented technical lead engineer who will focus on creating fundamental security services, addressing identity challenges on a large scale within the ASE organization. Success in this role requires individuals to possess a blend of profound technical expertise, extensive knowledge in security, and substantial experience in large-scale operations. 
 
Description 
 
Your duties in this role will include defining, advocating, and driving the adoption of a standardized set of minimum security requirements while monitoring progress. You will have direct influence on the future of our security protocols, guiding engineering teams as they incorporate secure practices and tools into their development processes. 
 
Preferred Qualifications 
 
Hands-on experience with Systems, including the ability to configure and troubleshoot system initialization processes 
 
Understanding of network security principles, protocols, and technologies, including firewalls, VPNs, and secure communication channels 
 
Familiarity with incident response processes and the ability to respond to security incidents effectively 
 
Knowledge of cryptographic algorithms and protocols for securing data, including TLS/SSL, digital signatures, hashing, and encryption 
 
Knowledge of authentication and authorization mechanisms, including OAuth, JWT, and other identity management protocols 
 
Minimum Qualifications 
 
5 + years of software development or production operations experience in a large-scale environment 
 
Strong programming skills in Golang, as you&rsquo;ll be working extensively with Go-based applications 
 
Proven experience building and operating large scale, highly available, distributed, and fault tolerant systems 
 
Excellent understanding of operating systems concepts including multi-threading, memory management, networking and storage, performance and scale 
 
Experience with Kubernetes, Docker, and containerization (CNCF Kubernetes Developer or equivalent) 
 
Knowledge of securing APIs, including input validation, authentication, and authorization mechanisms for RESTful and gRPC APIs 
 
BS/MS in Computer Science or equivalent 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 .

Senior Software Engineer, Identity

At Apple, we believe that technology should enrich people's lives in meaningful ways. Apple Services-including the App Store, Apple Music, Apple TV+, and Podcasts-connect millions of users worldwide to the content and experiences they love. Behind these services are sophisticated AI and machine learning systems that power personalized recommendations, intelligent search, and content discovery. The quality of these experiences depends fundamentally on the integrity of the data that fuels them. 
 
Join the Human-centered AI (HAI) organization within Apple Services Engineering as a Senior Applied Scientist on our Data Quality Operations team. This is your opportunity to shape the future of data quality at Apple, working at the intersection of cutting-edge machine learning, large language models, and rigorous scientific methodology. You'll be at the forefront of designing and implementing novel, scalable quality control solutions which ensure our AI-powered services meet Apple's exacting standards for a high-quality user experience. If you're passionate about applying scientific rigor to real-world problems, thrive on innovation, and want your work to impact hundreds of millions of users, this role offers an exceptional opportunity to make a lasting contribution to products people use every day. 
 
Description 
 
We are seeking a Senior Applied Scientist to lead the design and implementation of novel, scalable quality control solutions for Apple Services. In this role, you will develop AI or ML solutions for programatically generating gold standard datasets, create anomaly detection systems, and pioneer use of Large Language Models for automated quality control. You will work closely with cross-functional teams to ensure the data powering our AI/ML systems meets the highest standards of accuracy, consistency, and relevance. 
 
&quot;,&quot;responsibilities&quot;:&quot;Develop methodologies and systems to programatically generating gold standard datasets to measure and improve data quality across diverse content types. 
 
Build and validate LLM-based grading systems that align with human judgment for tasks including content classification, quality assessment, and metadata validation. 
 
Create and deploy anomaly detection systems to proactively identify data inconsistencies, biases, and errors across production pipelines. 
 
Collaborate with AI/ML engineering, product, and data science teams to identify quality challenges and integrate solutions into production workflows. 
 
Stay abreast of the latest advancements in machine learning, AI, data quality, and LLM research, applying relevant techniques to enhance our capabilities. 
 
Mentor and guide junior team members, fostering technical excellence and innovation in data quality operations. 
 
Communicate findings and recommendations clearly to technical and non-technical stakeholders, including senior leadership. 
 
Preferred Qualifications 
 
PhD in Computer Science, Machine Learning, Statistics, Applied Mathematics, NLP or a related quantitative field with 3+ years of relevant industry experience, 
 
Experience with data labeling operations, annotation quality frameworks, or human-in-the-loop systems. 
 
Familiarity with prompt optimization frameworks or automated prompt engineering. 
 
Experience in natural language processing (NLP) or natural language understanding (NLU). 
 
Experience with MLOps practices and tools for deploying, monitoring, and managing ML models in production. 
 
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) or large-scale distributed infrastructure systems. 
 
Prior experience contributing to open-source projects or publishing research in relevant academic conferences or journals. 
 
Minimum Qualifications 
 
3+ years of industry experience in an Applied Scientist, Machine Learning Engineer, or Data Scientist role with focus on data quality, evaluation, or related areas. 
 
Proven experience designing, building, and deploying scalable data quality or evaluation systems in production environments. 
 
Strong hands-on experience with Large Language Models (LLMs) including prompt engineering, fine-tuning, and applications such as grading, validation, or classification. 
 
Proficiency in Python, data science libraries (pandas, NumPy, scikit-learn, PyTorch, TensorFlow), SQL, and distributed computing environments (Spark, Hadoop). 
 
MS in Computer Science, Machine Learning, Statistics, Applied Mathematics, NLP or a related quantitative field with 3+ years of relevant industry experience, OR BS degree in a related quantitative field with 8+ years of relevant industry 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 .

Sr Applied Scientist, AI/ML Evaluation Quality, Apple Services Engineering

CLERA

<div>We're building the future of recruiting with AI &ndash; and we need an exceptional engineer to join our founding team in our San Francisco hackerhouse.
We just raised a $3M pre-seed from top-tier investors and are looking for someone to be one of our first engineering hires. This is the real deal: meaningful equity, direct impact on product direction, and the chance to build something massive in a $600B industry ripe for disruption.
What We're Building:
Clera is reimagining how top talent finds their dream jobs. We're already working with leading VC-backed startups like Mintlify, Luminai, and Windsurf &ndash; automating the entire headhunting process end-to-end with AI agents.
Thousands of talents engage with Clera every week. We've helped many land roles at companies they're genuinely excited about. Traditional recruiting is broken &ndash; we're fixing it with AI-first automation that delivers better outcomes for both candidates and companies.
We're at the perfect inflection point: early enough that you'll have massive ownership and impact, but far enough that we have a working product, paying customers, and strong traction.
The Role:
You'll be engineer #4 on the founding team, working directly with our CTO and the other founding engineers. You'll ship features to production daily and own entire product areas from concept to deployment.
We're building fully agentic systems that automate complex workflows. It's technically challenging, fast-paced, and high-impact.
Your Experience:<ul><li>
Very strong software engineering background: Experience in TypeScript and React</li><li>
Strong practical experience working with AI: We work 24/7 in Cursor - ideally you have experience coding with AI. Bonus if you have an experience working with LLM APIs</li><li>
Startup mindset - high agency, resourceful, and obsessed with creating value</li></ul>
Who You Are:<ul><li>
Take full ownership of projects, from concept to deployment and do whatever it takes to get the job done.</li><li>
Write code fast and scrap it even faster, but know when to transition to building for scale and quality.</li><li>
Enjoy talking to customers and iterating based on feedback.</li><li>
Are willing to work hard, to create something new with a lot of impact, changing how millions of talents find their jobs in the future.</li></ul>
Tech Stack: TypeScript, React, Cursor, Supabase, Prisma, Typesense, LLM APIs, Trigger.dev
The SF Hackerhouse Setup:
We're living and building together in SF. Zero commute, 10&times; faster feedback loops, constant collaboration.
It's intense, but it's also incredibly productive and fun. You'll be surrounded by A-players who are all-in on building something great.
Why Join Now:<ul><li>
Be engineer #4 &ndash; your decisions will shape the entire product</li><li>
True ownership, no micromanagement, shipping to production every day</li><li>
Experienced founders and a team of A Players</li><li>
Meaningful equity in a fast-growing startup</li><li>
Join before we scale 10-100&times;</li><li>
We can support with visa processes</li></ul>
Compensation: Competitive salary + significant equity
If you're the kind of engineer who wants to build fast, own outcomes, and create something that matters &ndash; let's talk.</div>

Founding Engineer ($3M pre-seed)

<div>
 
 Summary
 
 
 
 The Apple Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a substantial scale, meeting Apple&rsquo;s high expectations with dedication to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. Thanks to Apple&rsquo;s unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep dedication to strengthening Apple&rsquo;s privacy policy, one of Apple&rsquo;s core values. Although services are a bigger part of Apple&rsquo;s business than ever before, these teams remain small, forward-thinking, and multi-functional, offering greater exposure to the array of opportunities here. The Core Services team at Apple Services Engineering is looking for a software engineer to help build scalable and creative features that delight hundreds of millions of customers around the world on App Store, Apple Arcade, Apple Music, Apple TV+, Apple Books, Podcasts, MusicKit, iTunes etc. across multiple platforms on iOS, macOS, tvOS, and watchOS.
 
 
 
 Description
 
 
 
 You will be part of the server team that powers customer-facing features within the Apple client applications - Apple Music, Apple Podcasts, Apple TV, App Store, Apple Arcade, Fitness+, MusicKit etc. You will be working multi-functionally with various teams across Apple to deliver some really exciting features to our customers. Thinking about web service performance is a constant thing for us, and we are searching for someone like-minded. If you are used to thinking about performance in terms of median, 95th percentile and 99th percentile, then we are looking for you! You would be someone who is not afraid to question assumptions, is a phenomenal teammate under tight deadlines and seeks problems with sophisticated technical solutions. You will also have the opportunity to help develop and enhance the MusicKit - Apple Music APIs for our developer community and partners: https://developer.apple.com/documentation/applemusicapi (https://developer.apple.com/documentation/applemusicapi) Check out some of the sessions presented by the members of this team at WWDC: WWDC22 - Meet Apple Music API and MusicKit &mdash; https://developer.apple.com/videos/play/wwdc2022/10148/ (https://developer.apple.com/videos/play/wwdc2022/10148/) WWDC21 - Explore the catalog with the Apple Music API &mdash; https://developer.apple.com/videos/play/wwdc2021/10291 (https://developer.apple.com/videos/play/wwdc2021/10291) WWDC21 - Cross reference content with the Apple Music API &mdash; https://developer.apple.com/videos/play/wwdc2021/10293 (https://developer.apple.com/videos/play/wwdc2021/10293)
 
 
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 B.S. in Computer Science or similar field.
 </li>
 <li>
 At least 5+ years of experience as a Software Engineer with excellent analytical and problem-solving skills.
 </li>
 <li>
 Knowledge of JVM or functional languages like Clojure.
 </li>
 <li>
 Strong object oriented design and analysis skills coupled with a deep understanding of data structures and algorithms.
 </li>
 <li>
 Experience in designing and implementing RESTful APIs or other API technologies
 </li>
 <li>
 Experience with NoSQL or document oriented data stores (e.g. Apache Solr / Redis / Memcached / Cassandra / Voldemort / MongoDB etc.) is a plus.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Ability to work in a fast-paced environment, and agility to build customer facing features that span multi-functional teams.
 </li>
 <li>
 Experience writing effective unit and integration tests.
 </li>
 <li>
 Outstanding debugging, critical thinking, and interpersonal skills.
 
 
 </li>
 </ul>
 
 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 $139,500 and $258,100, 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&rsquo;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&rsquo;s Employee Stock Purchase Plan. You&rsquo;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 &mdash; 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.
 
 
 Apple accepts applications to this posting on an ongoing basis.
 
 
</div>

Software Engineer, Core Services - Apple Services Engineering

Explore 75+ Data engineer in Seattle this January. Find roles across top companies and apply now to boost your career.