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field application engineer - data center systems Jobs in Seattle

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senior site reliability engineer Jobs in Seattle

senior site reliability engineer

software engineer iii infrastructure ai and infrastructure

Google

<div>In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include: 
<ul><li>
Health, dental, vision, life, disability insurance</li><li>
Retirement Benefits: 401(k) with company match</li><li>
Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment</li><li>
Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)</li><li>
Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks</li><li>
Baby Bonding Leave: 18 weeks</li><li>
Holidays: 13 paid days per year</li></ul> 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Sunnyvale, CA, USA; Seattle, WA, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>2 years of experience programming in C++, Python or Go.</li>
<li>2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.</li>
<li>2 years of experience with performance, large scale systems data analysis, visualization tools, or debugging. 
</li>
<li>2 years of experience with data structures or algorithms in either an academic or industry setting.</li>
<li>Experience developing accessible technologies.
</li><li>Proficiency in code and system health, diagnosis and resolution, and software test engineering.
</li></ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

The AI and Infrastructure team is redefining what&rsquo;s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Write product or system development code.</li>
<li>Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.</li>
<li>Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).</li>
<li>Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer III, Infrastructure, AI and Infrastructure

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

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 Services Engineering team is one of the most exciting examples of Apple&rsquo;s long-held passion for combining art and technology. Join Apple Services Engineering Cloud Service Infrastructure team, as a Site Reliability Engineer, to help support and scale cloud services for millions of Apple users. 
 
We are building and supporting new and existing critical infrastructural systems and frameworks which provide and support services like structured and unstructured storage, caching, queueing, searching, and much more at hyperscale. These form the platform upon which many iCloud and other backend systems at Apple are built. The team is responsible for the next generation platform that will power Apple&rsquo;s infrastructural services. These services operate at extremely large scale and store exabytes of data. The platform will support a variety of services based on open-source software, such as Kubernetes, Cassandra, Zookeeper, Kafka, Redis, etc, alongside internally developed services. 
 
Description 
 
The Apple Services Engineering Cloud Services SRE organization is looking for a strong, enthusiastic developer to join as a member of this group. This person will have a tremendous amount of individual responsibility and influence over the direction the core platform of many critical Apple internet services takes for years to come. You are someone with ideas and real passion for software delivered as a service to improve reuse, efficiency, and simplicity. This engineer&rsquo;s work will affect hundreds of millions of users and be essential to the success of some of the most visible current and future Apple features. 
 
We are domain experts in fleet management, systems, and software engineering. We build automations, instrument reliability tools, and respond to alerts and incidents which may pose a risk to the reliability of the platform. Team&rsquo;s focus is on infrastructure capabilities and processes, improving the reliability and efficiency of the systems, at scale.We are looking for a strong, enthusiastic developer to join as a member of this group. This person will have a tremendous amount of individual responsibility and influence over the direction the core platform of many critical Apple internet services takes for years to come. You are someone with ideas and real passion for software delivered as a service to improve reuse, efficiency, and simplicity. This engineer&rsquo;s work will affect hundreds of millions of users and be essential to the success of some of the most visible current and future Apple features. 
 
Preferred Qualifications 
 
Hardware bootstrap and associated security (PXE, BIOS, TPM, secure boot, trusted computing) 
 
Experience with hyperscale server provisioning and maintenance (OpenStack Ironic, Metal3, MAAS, xCat, Netbox, Tinkerbell) 
 
Structured or unstructured storage and caching 
 
Automating operations processes via services and tools 
 
Configuration management and fleet orchestration via Puppet, Chef, Ansible, or others 
 
Cloud Services (AWS S3/EC2/CloudFront or equivalent) 
 
Minimum Qualifications 
 
Bachelors or Masters in Computer Science, Computer Engineering, or equivalent experience. 
 
5+ years of experience developing platform services 
 
Experience with large scale server provisioning and maintenance (OpenStack Ironic, Metal3, MAAS, xCat, Netbox, Tinkerbell) 
 
Experience with development within Kubernetes ecosystem, including operator framework, controllers and CRDs 
 
Understanding of base internet infrastructure services including DNS, DHCP, LDAP, server virtualization, server monitoring in critical, large scale distributed systems experience, combining Hardware, Operating Systems and Software 
 
Understanding of SRE principals, including monitoring, alerting, error budgets, fault analysis, and other common reliability engineering concepts, with a keen eye for opportunities to eliminate toil by code and process improvements. 
 
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 Site Reliability Engineer

Imagine what you could do here! The people here at Apple don&rsquo;t just build products - we craft the kind of wonder that&rsquo;s revolutionized entire industries. It&rsquo;s the diversity of those people and their ideas that supports the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. 
 
In this role, you will be working closely with framework engineering teams and cross functional QA teams, you'll develop automated testing infrastructure, validate new features, and ensure seamless integration across Apple's ecosystem of platforms. 
 
Description 
 
As a Software QA Engineer, you will be responsible for both manual and automated testing across mobile and backend features. 
 
You will design, develop and maintain automated test suites using Swift (XCT est/XCUIT est) and Python, while also performing manual testing to uncover usability issues, edge cases and regressions that automation may miss. You&rsquo;ll work closely with cross-functional partners to understand feature requirements, define test strategies and ensure high-quality releases. 
 
Your work will include crafting, implementing and maintaining test plans and test cases, triaging issues and validating fixes in a timely manner. As a representative of the QA team in cross functional discussions, you&rsquo;ll communicate test results, advocate for quality and help drive process improvements. 
 
Additionally, you&rsquo;ll contribute to our CI/CD infrastructure, improve automation reliability and continuously refine the balance between manual validation and automated coverage to enhance efficiency and product quality. 
 
&quot;,&quot;responsibilities&quot;:&quot;Manual and automated testing 
 
Design, document and develop automated tests using Python 
 
Design and implement performance tests 
 
Preferred Qualifications 
 
Deep Knowledge of developer tools, SDKs, or framework testing and validation methodologies 
 
Proficiency in testing mobile/desktop apps, cloud based frameworks, and backend/APIs 
 
Understanding of the software development lifecycle, SQA methodologies, and passion for quality processes 
 
Familiarity with continuous integration systems and build automation 
 
Ability to thrive in a collaborative working environment within your team and beyond 
 
Ability to triage problems, prioritize accordingly, and propose a resolution 
 
Familiarity with server architecture 
 
Outstanding communication skills for collaborating across many participating teams 
 
Minimum Qualifications 
 
3+ years of experience in software testing with strong focus on test automation 
 
Experience in Swift/XCT est/XCUIT est 
 
Experience developing software tests in Python for test automation, tooling or machine learning 
 
Proficiency in manual/UI testing and willingness to engage in both 
 
Experience developing test plans, test cases, assessing risk, and filing appropriate defects 
 
BS in Computer Science 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 .

Sr. Software Quality Engineer, Apple Services Engineering

<div>Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act. 
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; San Francisco, CA, USA; San Jose, CA, USA.<h3 class="jobSectionHeader">
Minimum qualifications:</h3><ul>
<li>Bachelor&rsquo;s degree or equivalent practical experience.</li>
<li>2 years of experience in managing internal infrastructure, developer tools or distributed computing.</li>
<li>2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Master's degree or PhD in Computer Science or related technical fields.</li>
<li>2 years of experience with data structures and algorithms. 
</li>
<li>Experience with concurrency, performance analysis, unit and integration testing, debugging, and analyzing low-level system failures. 
</li>
<li>Experience with low-level systems programming along with writing kernel code for a general purpose operating system.</li>
<li>Experience in professional coding with C++ and assembly.</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to manage information at a massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google&rsquo;s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
 
 
In this role, you will evolve Zircon to meet Fuchsia's growing needs by developing system calls, virtual memory management, schedulers, and support for multiple instruction set architectures (aarch64, x86-64, etc). You will work on the hard-software interactions at the lowest levels, boot Fuchsia into userspace and emphasize testing, debugging and root cause analysis to ensure stability and performance.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.<div></div><div> 
The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.</div><div></div><div> 
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.</div></div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Design and implement features for memory management, scheduling, and other core kernel functionality.</li>
<li>Design and implementation of kernel APIs used by Fuchsia userspace components.</li>
<li>Improve testability of the kernel internals and interfaces.</li>
<li>Collaborate with Fuchsia developers to understand their needs from Zircon.</li>
<li>Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Software Engineer III, Fuchsia Kernel

Brex

<div><div>Why join us

Brex is the AI-powered spend platform. We help companies spend with confidence with integrated corporate cards, banking, and global payments, plus intuitive software for travel and expenses. Tens of thousands of companies from startups to enterprises &mdash; including DoorDash, Flexport, and Compass &mdash; use Brex to proactively control spend, reduce costs, and increase efficiency on a global scale.

Working at Brex allows you to push your limits, challenge the status quo, and collaborate with some of the brightest minds in the industry. We're committed to building a diverse team and inclusive culture and believe your potential should only be limited by how big you can dream. We make this a reality by empowering you with the tools, resources, and support you need to grow your career.</div>
Marketing at Brex

Marketing tells the story of Brex to the world. From acquisition to activation, we translate product value into business results. Our team spans Revenue, Product, and Brand Marketing, and works closely with nearly every function at Brex. We move fast, experiment often, and think deeply about customer behavior. If you want your creativity to drive growth and shape perception, this is the place.

What you'll do

The Brex Marketing team is looking for an experienced Senior Marketing Operations Manager to own the systems, data infrastructure, and digital growth engine powering our Product-Led Growth (PLG) motion. This role is central to how Brex scales digital acquisition, optimizes self-serve onboarding flows, and unlocks marketing performance through automation, experimentation, and insights.

The ideal candidate is passionate about building a best-in-class marketing tech stack&mdash;including structuring event schemas, improving attribution, unlocking insights, and driving efficiency. This person is also excited about how AI and agentic workflows can transform our operational processes, improve personalization, accelerate experimentation velocity, and automate routine tasks. You will help define and execute our future-state marketing operations architecture, modernizing systems, processes, and data across paid, web, product, and lifecycle channels.

Where you'll work

This role will be based in our Seattle office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of two coordinated days in the office per week, Wednesday and Thursday. Starting February 2, 2026, we will require three days per week in office - Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities
<ul>
<li>Own and evolve the PLG martech ecosystem&mdash;including Twilio Segment, Google Analytics, Marketo, Sanity CMS, Salesforce, and paid-channel integrations&mdash;to ensure a best-in-class, scalable, and reliable infrastructure.</li>
<li>Define and execute a future-state roadmap for PLG operations, leveraging AI-driven automation, agentic workflows, and scalable systems foundations.</li>
<li>Build and optimize automated lifecycle and activation programs using AI-assisted segmentation, predictive scoring, and personalized content delivery.</li>
<li>Partner with Web, Product, and Engineering teams to modernize event tracking frameworks, ensuring clean, structured, privacy-aligned data flows through Segment, GA, and in-product analytics.</li>
<li>Support and scale experimentation by integrating event tracking, metadata, and insights with AI-enabled analysis and rapid test iteration.</li>
<li>Collaborate with Paid Growth to ensure high-quality tagging, attribution, and channel measurement across Google Ads, LinkedIn Ads, Meta Ads, and Reddit Ads.</li>
<li>Partner cross-functionally with CX, Operations, Sales, and Web teams to support chatbot and live chat experiences on Brex.com &mdash; including qualification logic, routing workflows, data capture, and integration with downstream teams. Serve as the Marketing Operations lead ensuring technical implementation, measurement, workflow orchestration, and operational governance, even in a co-owned model.</li>
<li>Build dashboards and insights leveraging AI-enhanced analytics to monitor PLG health, funnel friction, conversion behavior, and growth loops.</li>
<li>Identify opportunities to automate manual processes using Zapier, Segment, Marketo programs, and AI agents to improve speed, accuracy, and scale.</li>
<li>Troubleshoot and resolve issues across systems (Segment, GA, Marketo, Salesforce), maintaining a high-quality data environment and rapid operational velocity.</li>
</ul>
Requirements
<ul>
<li>4+ years in Marketing Operations, Growth Operations, or Digital Systems roles supporting PLG or digital-first acquisition funnels.</li>
<li>Hands-on experience with Segment, Google Analytics, Marketo, and event-based tracking frameworks.</li>
<li>Strong analytical capabilities related to experimentation, attribution, and funnel performance measurement.</li>
<li>Experience supporting paid acquisition workflows across Google, LinkedIn, Meta, and other digital channels.</li>
<li>Experience partnering with cross-functional teams (CX, Operations, Sales, Web) to manage or enhance chatbot and/or live chat experiences&mdash;including qualification, routing, data models, and workflows&mdash;even when operational ownership is distributed across teams.</li>
<li>Demonstrated experience driving operational efficiency and automation through workflow orchestration tools (Zapier, agentic AI systems, CDP-triggered workflows).</li>
<li>Track record of evolving or modernizing a marketing tech stack toward a future-state architecture.</li>
<li>Experience collaborating closely with Product, Web Engineering, and Data teams.</li>
</ul>
Bonus Points
<ul>
<li>Experience at FinTech or SaaS companies with PLG or self-serve onboarding models.</li>
<li>Experience using AI and automation to scale marketing workflows, such as generative personalization, predictive scoring, and automated experiment QA.</li>
<li>Comfort building integrated workflows between CMS (Sanity) and acquisition tracking systems.</li>
<li>Familiarity with customer journey analytics tools such as Amplitude, Mixpanel, or similar.</li>
<li>Demonstrated ability to document architecture, propose long-term solutions, and operationalize complex systems with cross-functional partners.</li>
<li>Understanding of digital identity verification steps and risk-aware conversion optimization.</li>
<li>Familiarity with Lead-to-Product connective processes (where website signups eventually feed the GTM funnel).</li>
<li>Knowledge of ABM or enterprise programs is a plus for hybrid funnel interactions.</li>
</ul>
Compensation

The expected salary range for this role is $134,696 - $168,370. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.<div>
Please be aware, job-seekers may be at risk of targeting by malicious actors looking for personal data. Brex recruiters will only reach out via LinkedIn or email with a brex.com domain. Any outreach claiming to be from Brex via other sources should be ignored.</div></div>

Senior Marketing Operations Manager, Product-Led Growth

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