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aiml - machine learning engineer, data and ml innovation

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advanced practice provider (arnp/pa-c) - otolaryngology head and neck surgery (ent) - head and neck surgery- uwmc and fhcc Jobs in Seattle

advanced practice provider (arnp/pa-c) - otolaryngology head and neck surgery (ent) - rhinology - uwmc montlake Jobs in Seattle

adversarial machine learning engineer Jobs in Seattle

adversarial machine learning engineer

ai engineer (intern)

aiml - machine learning engineer, data and ml innovation Jobs in Seattle

lead data engineer

Gates Foundation

<div><div>The Foundation</div><div>
We are the largest nonprofit fighting poverty, disease, and inequity around the world. Founded on a simple premise: people everywhere, regardless of identity or circumstances, should have the chance to live healthy, productive lives. We believe our employees should reflect the rich diversity of the global populations we aim to serve. We provide an exceptional benefits package to employees and their families which include comprehensive medical, dental, and vision coverage with no premiums, generous paid time off, paid family leave, foundation-paid retirement contribution, regional holidays, and opportunities to engage in several employee communities. As a workplace, we&rsquo;re committed to creating an environment for you to thrive both personally and professionally.</div><div></div><div>
The Team</div>
As part of the IT Enterprise Data Solutions (EDS) department, the Data Engineering team&rsquo;s mission is to lead on data technology and utilization, enabling informed decision-making and strategic insights across the foundation. We are committed to providing a robust, secure, and scalable data platform that empowers data-driven initiatives and cultivate collaboration. Working with our business operations and foundation strategy program partners, the team supports the management of the EDW, Enterprise Data Platform, building and integration of data systems, shared data exchange, data platform operations and data architecture support.<div></div><ul><li><i>This position is a limited-term position for 36 months. Relocation will not be provided.</i></li></ul><div></div><div>
Your Role</div><div>
As a Lead Data Engineer, you are an experienced technical leader for the foundation&rsquo;s Modern Data Platform. You are responsible for developing, delivering, and improving scalable, secure, and high-performing data solutions. These solutions enable enterprise reporting, analytics, search, AI, and data-driven decision-making across the foundation and its affiliates. You operate with a high degree of independence and accountability, serving as both a hands-on technical leader and a practice lead who shapes engineering standards, mentors engineers, and strengthens overall data platform capability. You translate complex organizational and technical challenges into practical data engineering strategies and scalable platform solutions. You are accountable not just for delivering pipelines or datasets, but for ensuring the health, reliability, performance, governance, and long-term sustainability of the enterprise data ecosystem.</div><div></div><div>
What You&rsquo;ll Do</div><div>
Technology &amp; Architecture Leadership</div><ul><li><div>
Define and evolve the data engineering technology roadmaps aligned to business strategies, enterprise architecture, information security standards.</div></li><li><div>
Provide architectural leadership on complex, cross-team data initiatives, ensuring solutions are scalable, secure, resilient, and maintainable.</div></li><li><div>
Lead data platform and vendor evaluations, guiding build vs. buy decisions and ensuring consistency with enterprise technical direction.</div></li><li><div>
Develop and promote data engineering standards for lakehouse architecture, ELT/ETL frameworks, data modeling, CI/CD, observability, and governance.</div></li><li><div>
Anticipate technology impacts across applications, data, integrations, and infrastructure&mdash;and guide teams through informed trade-off decisions including assessing new technology.</div></li></ul><div></div><div>
Solution Delivery &amp; Engineering Excellence</div><ul><li><div>
Day-to-day hands-on execution and implementation of solutions - using modern data platforms, initiatives, processes and practices.</div></li><li><div>
Be responsible for technical direction for large or multi-team delivery efforts, ensuring application of modern data engineering and DevSecOps practices.</div></li><li><div>
Conduct architectural and technical reviews of solution designs, code, and delivery approaches to raise quality and consistency.</div></li><li><div>
Champion automation, observability, and operational excellence to ensure platforms remain reliable, performant, and cost effective.</div></li><li><div>
Pilot emerging technologies and guide their adoption into stable enterprise capabilities when appropriate.</div></li><li><div>
Drive continuous improvement of engineering practices, tooling, automation and operational processes.</div></li></ul><div></div><div>
Service &amp; Portfolio Strategy</div><ul><li><div>
Partner with service managers and product owners to shape data service strategies, roadmaps and investment priorities.</div></li><li><div>
Translate complex system challenges into actionable plans aimed to improve sustainability, lifecycle health, and user experience.</div></li><li><div>
Provide senior-level support to annual planning, including resource needs, modernization opportunities, risks, and capacity considerations.</div></li><li><div>
Represent technology perspectives in strategic and portfolio discussions, ensuring alignment between business direction and technical capability.</div></li></ul><div></div><div>
Leadership, Influence &amp; Collaboration</div><ul><li><div>
Serve as a lead for the practice and senior mentor, coach data engineers and contingent staff, as well as managing service partners</div></li><li><div>
Build strong, collaborative relationships across IT, Business Operations, and programmatic teams.</div></li><li><div>
Lead cross-functional data architecture and design discussions, guiding teams through ambiguity with clarity, sound judgment, and tactical planning.</div></li><li><div>
Communicate effectively across technical and non-technical audiences, including senior leadership, converting complex concepts into clear implications and recommendations.</div></li><li><div>
Representing IT in foundation working groups, governance forums, and cross-team initiatives, coordinating efforts to reflect broader strategies and priorities.</div></li><li><div>
Lead core initiatives partnering across Program Strategy Teams, Operations and IT.</div></li></ul><div></div><div>
Your Experience</div><ul><li><div>
Bachelor&rsquo;s degree or equivalent experience typically requires an advanced degree or equivalent experience and a minimum of 10+ years of relevant data engineering experience in enterprise environments.</div></li><li><div>
Mastery-level knowledge of the data engineering field and modern data platform technology delivery, with deep experience in one or more key domains such as lakehouse architecture, distributed data processing, cloud data warehousing, data transformation frameworks, or data governance.</div></li><li><div>
Demonstrated ability to build and complete implementation plans for complex, enterprise-scale data platforms and pipelines. These platforms support analytics, reporting, AI/ML, and operational decision-making. They also impact on the achievement of the foundation&rsquo;s priorities.</div></li><li><div>
Proven experience developing and implementing standards, processes, and operational plans that improve stability, resilience, security, and performance of critical data platforms.</div></li><li><div>
Deep expertise with cloud-based data platforms - Azure Data services, Databricks, Snowflake and DBT cloud.</div></li><li><div>
Strong foundation in enterprise data architecture fields and the development of secure, scalable, aligned technology solutions.</div></li><li><div>
Advanced experience with CI/CD pipelines for data workloads, infrastructure as code, cloud-native operational models, and modern version control strategies.</div></li><li><div>
Strong proficiency in programming using data processing tools like Azure Data Factory, Fivetran, Databricks notebook, DBT cloud, ETL/ELT frameworks, as well as programming languages such as Python, SQL, Spark (PySpark/Scala) and scripting languages common to cloud data environments.</div></li><li><div>
Demonstrated success leading large-scale and complex data modernization initiatives, including migration from legacy data warehouses to modern cloud-based data platforms.</div></li><li><div>
Experience managing and reviewing vendors or offshore engineering work to ensure alignment with enterprise data standards, architecture principles and long-term sustainability.</div></li><li><div>
Excellent communication and influencing skills, with the ability to clearly and succinctly translate complex data architecture concepts into actionable recommendations for senior leadership, technical teams, and non-technical partners across multiple functions.</div></li><li><div>
Demonstrated ability to enable AI through data, with a strong understanding of AI use cases and the data architecture, quality, governance, lineage, and scalability requirements necessary to successfully support AI initiatives.</div></li><li><div>
Strong analytical and problem-solving abilities, demonstrating a dedication to operational excellence, continuous learning, and improving data engineering practices.</div></li><li><div>
May mentor, review, and delegate work to more junior engineers, building capability and maturity across the data engineering group.</div></li></ul><div></div><div><i>
Must have unrestricted work authorization in the country where this position is located. The Foundation does not provide immigration-related sponsorship for this role. This includes direct company sponsorship and any work authorization requiring a written submission or other immigration support from the company (eg: H-1B, O-1, L-1, E, OPT, STEM-OPT, CPT, TN, J-1, etc.).</i></div><div></div><div>
The salary range for this role is $190,100.00 to $294,700.00 USD. We recognize high-wage market differences in Seattle and Washington D.C., where our offices are located. The range for this role in these locations is $209,100.00 to $324,100.00 USD. As a mission-driven organization, we strive to balance competitive pay with our mission. New hires salaries are typically between the range minimum and the salary range midpoint. Actual placement in the range will depend on a candidate&rsquo;s job-related skills, experience, and expertise, as evaluated during the interview process.</div><div></div><div>
Hiring Requirements</div><div>
As part of our standard hiring process for new employees, employment will be contingent upon successful completion of a background check.</div><div></div><div>
Candidate Accommodations</div><div>
We&rsquo;re committed to providing an inclusive and accessible hiring experience for all candidates. If you have a disability or medical condition and need an accommodation at any stage of the application or interview process&mdash;such as an ASL interpreter, alternative interview format, or physical accessibility support&mdash;we&rsquo;re happy to help. Please contact HR@gatesfoundation.org with the position number and a brief description of your accommodation needs. Requests will be handled confidentially.</div><div></div><div>
Inclusion Statement</div><div>
We are dedicated to the belief that all lives have equal value. We strive for a global and cultural workplace that supports ever greater diversity, equity, and inclusion &mdash; of voices, ideas, and approaches &mdash; and we support this diversity through all our employment practices.</div><div></div><div>
All applicants and employees who are drawn to serve our mission will enjoy equality of opportunity and fair treatment without regard to race, color, age, religion, pregnancy, sex, sexual orientation, disability, gender identity, gender expression, national origin, genetic information, veteran status, marital status, and prior protected activity.</div></div>

Lead Data Engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help.<br>
<br>
You&rsquo;ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You&rsquo;ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you&rsquo;ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.<br>
<br>
Are you interested in developing solutions that have big impact? Are you someone who likes to challenge the status quo and work on developing innovative product solutions? If you are a mechanical engineer and looking for an exciting career in cloud infrastructure, come join a team that constantly seeks ways to build things better &amp; faster for our customers.<br>
<br>
AWS is looking for a Sr. Mechanical Product Engineer to become part of Mechanical Products and Services team, responsible for the design and continuous innovation within our rapidly expanding data center footprint. This position can be based out of Seattle, Washington or Herndon, Virginia.<br>
<br>
Our Senior Mechanical Product Engineers take full ownership to design resilient, cost effective mechanical systems. As engineers at Amazon, we are responsible for achieving a world class uptime for our customers. We drive continuous advancements and improvements with our designs, and communicate technical direction to Sr. Management. We seek new ways to enhance the reliability, scalability, and cost effectiveness of our engineering designs. As an engineer at Amazon, you have the ability to drive change and make a substantial impact in the systems our customers rely on.<br>
<br>
At Amazon, team work is absolutely necessary for us to accomplish our goals. We work within a team and depend on others to accomplish the required work. As a mechanical engineer at Amazon you will be working with other internal groups as well as external groups including manufacturers, vendors, and contractors.<br>
<br>
If you are a creative, smart and driven individual that enjoys working with complex problems we want you! At Amazon, you will be responsible for working on multi-million-dollar designs and supporting our wide variety of customers. Great ideas are encouraged and supported. Ingenuity is the main mechanism which supports our focus on quality, speed, and cost.<br>
<br>
<ul><li>Work in a cross-disciplinary setting with ability to influence and drive others.</li><li>Work has deep and far-reaching impact on overall product design/solutions</li><li>Advises peer engineers and management team.</li><li>Deep-dive and perform root cause analysis.</li><li>Make technical trade-offs between short-term project goals and long-term business needs.</li><li>Develop integrated systems extending the life of data center infrastructure products.</li><li>Simplify, optimize and lower costs of data center mechanical and associated sub components.</li></ul><br>
Key job responsibilities<br>
<ul><li>Define and design liquid cooling equipment and related infrastructure.</li><li>Collaborate with internal and external ecosystem partners to design and develop new data center product solutions.</li><li>Support field engineering and data center operation teams for performing root cause analysis and implementation of corrective actions.</li><li>Leverage economy of scale through standardization and modularization of data center products.</li><li>Maintain and develop technical design procedures associated with piping and pipe support analysis activities.</li><li>Provide technical subject matter expertise to peers, senior management and partner teams.</li><li>Develop business justification and narratives to promote new concepts and ideas.</li><li>Lead key initiatives for the organization while demonstrating ownership.</li><li>Work with global suppliers and manufacturers to specify appropriate mechanical and associated sub components.</li><li>Provide product design support to other team members.</li><li>Writing functional specifications, design verification plans, and functional test procedures.</li><li>Ability and willingness to travel domestic and internationally for up to 25% of the year.</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>6+ years of data center design, construction, operations, or facility maintenance experience</li><li>6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience</li><li>Bachelor's degree in Engineering or a related field</li><li>Experience researching new designs, technologies, and construction methods of data center equipment and facilities</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Professional Engineering or Architectural License</li><li>Knowledge of building codes and regulations for your region</li><li>Experience carrying design concepts through exploration, development, and into deployment or mass production</li><li>Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually<br>
USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually</div><p></p>

Senior Mech Product Engineer, Data Center Eng , Mechanical Products and Services

Apple

<p>The Applied Machine Learning team builds production multimodal systems that understand and transform large-scale image, audio, and video content. Our work spans diffusion-based image generation, transcription and diarization, face and object detection, OCR and image description for search, and automated quality control of media pipelines.<br>
<br>
We are looking for a Staff Machine Learning Engineer to strengthen our diffusion and video models, adapt small and mid-sized LLMs, and turn our uniquely large corpus of weakly labeled media into a durable product advantage. This is an opportunity to shape the next generation of multimodal experiences end-to-end, from data and models to evaluation and user impact.<br>
<br>
<b>Description</b><br>
<br>
The Staff Machine Learning Engineer - Multimodal Generation &amp; Post-Training will be a senior individual contributor on a small, applied ML team focused on production multimodal systems. The role will lead fine-tuning and adaptation of diffusion and emerging video models, as well as post-training of small and medium LLMs for captioning, moderation, and retrieval-friendly descriptions.<br>
<br>
The engineer will design data and evaluation workflows that use our large archive of weakly labeled music, podcast, film, TV, and short-form content to drive measurable quality and efficiency improvements. The role includes close collaboration with partner infra teams for model serving and with adjacent product and research groups to bring new capabilities into production.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
PhD in Computer Science, Machine Learning, or a related technical field.<br>
<br>
8+ years of industry experience with production multimodal systems spanning image, audio, and/or video.<br>
<br>
Deep expertise with diffusion and video generation techniques (e.g., ControlNet/IP-Adapter, temporal consistency methods, sampling and latency optimization).<br>
<br>
Experience with PEFT/QLoRA and post-training approaches such as DPO or related preference-based methods for small and mid-sized LLMs.<br>
<br>
Background in ASR/VAD/diarization, OCR, multimodal retrieval, or face recognition with fine-grained temporal alignment.<br>
<br>
Familiarity collaborating with infra/platform teams on model serving (e.g., batching strategies, quantization, observability) and translating requirements into reliable production deployments.<br>
<br>
Demonstrated ability to define metrics, build evaluation harnesses, and communicate results clearly to cross-functional partners.<br>
<br>
Track record of publications, patents, or open-source contributions in relevant areas of machine learning or multimodal modeling.<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
Master&rsquo;s degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent practical experience.<br>
<br>
5+ years of hands-on industry experience building and shipping machine learning systems to production.<br>
<br>
Proven experience training and fine-tuning diffusion or other image/video generative models, including adapter-based methods such as LoRA.<br>
<br>
Proficiency in Python and at least one major deep learning framework such as PyTorch.<br>
<br>
Experience designing and operating ML pipelines for noisy or weakly labeled data, including offline evaluation and monitoring in production.<br>
<br>
Strong software engineering skills, including code quality, experimentation discipline, and debugging/profiling of model performance.<br>
<br>
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 .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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 $201,300 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
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.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Staff Machine Learning Engineer, Apple Services Engineering

<p>The Apple Cloud Engineering team is looking for an exceptional software engineer to create highly performant and energy efficient systems that will power the next generation of data centers.<br>
<br>
We&rsquo;re looking for an engineer who can build and use models of our Data Centers to inform critical architectural decisions, who can write code for power and thermal management systems, and who can effectively lead and participate in cross-functional requirements engineering efforts during early architecture phases of development.<br>
<br>
If you are interested in working at the intersection of hardware and software for large scale, high visibility, and high impact projects, then this role will be exciting for you.<br>
<br>
<b>Description</b><br>
<br>
You will work cross-functionally with architecture, platform design, SOC architects, and software teams to develop and integrate best in class hardware, software and services. You will be responsible for architecting, developing, and on-boarding other engineers to maintain system software that powers next generation of data centers. As a member of the team, you will participate in all stages of software development, from new feature design and implementation, to maintenance and bug fixing of released code. You will build models for data center power and thermal systems that can inform critical architectural decisions. You will also use those models to ensure system functionality, verify requirements, understand failure modes, and ensure operation within defined limits.<br>
<br>
<b>Preferred Qualifications</b><br>
<br>
Formal training in systems engineering<br>
<br>
Experience with distributed systems including leader election<br>
<br>
Data center power systems development experience<br>
<br>
Control systems development including transfer function development experience<br>
<br>
Experience working with factory processes and system bring-up<br>
<br>
Experience in calculating total cost of ownership (TCO)<br>
<br>
Strong understanding of infrastructure and platform system reliability calculations and fault domains<br>
<br>
Experience with hardware resource planning<br>
<br>
Experience with hardware deployment models<br>
<br>
Experience with Apple development tools<br>
<br>
Experience presenting architectural concepts and designs to executives<br>
<br>
Passion for software architecture, APIs and high performance extensible software.<br>
<br>
Passion for hardware and maximizing it&rsquo;s efficiency, performance, and overall utility through thoughtful software architecture<br>
<br>
<b>Minimum Qualifications</b><br>
<br>
7+ years of industry experience as a system software developer<br>
<br>
Experience with tools used in systems dynamics or systems engineering fields such as JMP, Matlab, Simulink, Cameo, or equivalent<br>
<br>
Expertise in C, C++, Objective-C, or Swift<br>
<br>
Strong understanding of OS architecture and systems programming fundamentals<br>
<br>
Proficient at debugging complex interdisciplinary systems<br>
<br>
Experience with requirements engineering<br>
<br>
Excellent communication skills<br>
<br>
Creative, collaborative, and product-focused<br>
<br>
B.S. or M.S. in Computer Engineering, Electrical Engineering, Computer Science, Systems Engineering, or equivalent experience<br>
<br>
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 .<br>
<br>
<b>Pay &amp; Benefits</b><br>
<br>
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 $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location.<br>
<br>
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.<br>
<br>
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.</p>

Sr. System Software Engineer, Apple Data Centers

lululemon

who we are
<br><br>
lululemon is an innovative performance apparel company for yoga, running, training, and other athletic pursuits. Setting the bar in technical fabrics and functional design, we create transformational products and experiences that support people in moving, growing, connecting, and being well. We owe our success to our innovative product, emphasis on stores, commitment to our people, and the incredible connections we make in every community we're in. As a company, we focus on creating positive change to build a healthier, thriving future. In particular, that includes creating an equitable, inclusive and growth-focused environment for our people.
<br><br>
about this team
<br><br>
lululemon Engineering is dedicated to building secure, reliable, and performant products for our guests and partners. We embrace the philosophies of Agile, DevOps, and SRE to accelerate our development process and provide the most enjoyable, inclusive, and supportive work environment possible. We believe our journey is more fun when it is collaborative, as we focus on the future instead of the past. As an Engineer, you will work as part of a global team supported by our business and architecture partners to help us collaboratively develop and deliver industry leading technology solutions that drive lululemon’s business goals.
<br><br>
core responsibilities
<br><br>
As a Senior Engineer II, you will work as the technical leader for the product(s) your team delivers. You will be counted on as a leader in your technology space, as you contribute to all areas of development and operations (pre-production to production). As a Senior Engineer II, you will dedicate a fair amount of time to the planning and discovery of tools and practices inside your given area of expertise. You will apply that knowledge by working closely with Staff Engineers to promote platform level change. Senior Engineer IIs, take production readiness and performance personally and help drive continuous improvement. You will be part of a day-to-day production release team and may perform on-call support functions as needed. You will be considered the technical owner of the production system(s) you work on and focus on how your product(s) are delivered and how to optimize them for efficiency, security and reliability.
<br><ul>
<li>Main contributor for product roadmaps and reliability strategy</li>
<li>Partner with project management to deliver status and performance updates</li>
<li>Conduct research to aid in product development and tools selection</li>
<li>Provide an escalation point and participate in on-call support rotations</li>
<li>Actively monitor key metrics, reports on trends, and make improvement recommendations</li>
<li>Facilitate an Engineering Community of Practice for your product(s)</li>
<li>Contribute to engineering automation, management or development of production level systems</li>
<li>Review product roadmaps and guide intake acceptance for a set of production systems</li>
<li>Own reliability for a defined set of production systems</li>
<li>Own the delivery lifecycle for a defined set of production systems</li>
</ul>
qualifications
<br><ul>
<li>Completed Bachelor’s degree or diploma (or equivalent experience) in Computer Science, Software Engineering or Software Architecture preferred; candidates with substantial and relevant industry experience are also eligible</li>
<li>Eight+ years of engineering experience</li>
<li>Ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud/IT technology space</li>
<li>Apply proven SRE methodologies to maintain system reliability, scalability, and rapid incident recovery.</li>
<li>Architect and oversee infrastructure platforms that enable efficient development, deployment, and operational excellence.</li>
<li>Implement robust alerting strategies to detect anomalies early and trigger rapid response actions.</li>
<li>Design comprehensive monitoring solutions that track performance metrics, system health, and user experience.</li>
<li>Leverage Datadog for real‑time observability, analytics, and integration across applications and services.</li>
<li>Utilize Splunk to collect, index, and analyze log data for security, compliance, and operational insights.</li>
<li>Incorporate Quantametrics to deliver deep performance benchmarking and optimization recommendations.</li>
<li>Ability to assume the leadership/mentorship of Engineers</li>
</ul>
must haves
<br><ul>
<li>Acknowledge the presence of choice in every moment and take personal responsibility for your life.</li>
<li>Possess an entrepreneurial spirit and continuously innovate to achieve great results.</li>
<li>Communicate with honesty and kindness and create the space for others to do the same.</li>
<li>Lead with courage, knowing the possibility of greatness is bigger than the fear of failure.</li>
<li>Foster connection by putting people first and building trusting relationships.</li>
<li>Integrate fun and joy as a way of being and working, aka doesn’t take yourself too seriously.</li>
</ul>
additional notes
<br>Authorization to work in the United States is required for this role.
<br><br>
compensation and benefits package
<br><br>
lululemon’s compensation offerings are grounded in a pay-for-performance philosophy that recognizes exceptional individual and team performance. The typical hiring range for this position is from $136,200 - $178,700 annually; the base pay offered is based on market location and may vary depending on job-related knowledge, skills, experience, and internal equity. As part of our total rewards offering, permanent employees in this position may be eligible for our competitive annual bonus program, subject to program eligibility requirements.
<br><br>
At lululemon, investing in our people is a top priority. We believe that when life works, work works. We strive to be the place where inclusive leaders come to develop and enable all to be well. Recognizing our teams for their performance and dedication, other components of our total rewards offerings include support of career development, wellbeing, and personal growth:
<br><ul>
<li>Extended health and dental benefits, and mental health plans</li>
<li>Paid time off</li>
<li>Savings and retirement plan matching</li>
<li>Generous employee discount</li>
<li>Fitness & yoga classes</li>
<li>Parenthood top-up</li>
<li>Extensive catalog of development course offerings</li>
<li>People networks, mentorship programs, and leadership series (to name a few)</li>
</ul>
<b>Note:</b> The incentive programs, benefits, and perks have certain eligibility requirements. The Company reserves the right to alter these incentive programs, benefits, and perks in whole or in part at any time without advance notice.
<br><br>
workplace arrangement
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In-person collaboration and connection is important to our culture. Work is performed onsite, minimum 4 days per week.
<br><br>
#LI-Onsite
<br><br>
#LI-VJ1

Senior Engineer II - Digital Platforms - SRE/Datadog

Salesforce

<div><p><i>To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.
</i></p><p></p><p>Job Category
</p>Customer Success
<p></p><p>Job Details
</p><p></p><p><b>About Salesforce
</b></p><p>Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn&rsquo;t a buzzword &mdash; it&rsquo;s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.
</p><p></p><p>Ready to level-up your career at the company leading workforce transformation in the agentic era? You&rsquo;re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.
</p><p></p><p>We are looking for daring teammates to join our innovative customer support team. These positions are for individuals who are highly motivated, self-directed, and have a desire to work on the #1 cloud-based platform. You must possess excellent analytical and communication skills and have the passion to deliver outstanding support.
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The role is a part of the Global Support organization that has responsibilities for assigned cases, maintaining a single-minded focus to ensure customers are especially satisfied with Salesforce&rsquo;s suite of products by becoming a Salesforce Industries cloud application and platform authority.
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We&rsquo;re looking for a Senior Technical Support Engineer for the Government and Public Sector Support Cloud team with a focus on:
</p><ul><li>Industry Public Sector Solutions (PSS) &amp; Gov Cloud (US-only)
</li><li>Industries OmniStudio / Industry Platform
</li><li>Revenue Cloud (CPQ, Billing)
</li></ul><p></p><p>This Support Engineer will be responsible for delivering world-class customer support to our Signature customers, driving operational excellence, and partnering closely with Product, Engineering, Success, and Sales to support complex, mission-critical customer environments.
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This role requires strong, deep technical skills and experience supporting enterprise-grade SaaS platforms in regulated or industry-specific environments.
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This role also requires meeting operational metrics including Customer Satisfaction (CSAT), Time to Resolve, and Service Level Agreement (SLA) targets. It also requires serving as a technical lead for junior engineers and helping support leadership influence the product roadmap, product quality, and supportability.
</p><p></p><h2 class="jobSectionHeader"><b>Minimum Qualifications &amp; Skills
</b></h2><ul><li>Degree or equivalent validated experience required. Experience will be evaluated based on the strengths you'll need for the role.
</li><li>Over 4+ years of prior experience in a Technical Support/Services-related role.
</li><li>Experience with Salesforce and/or CRM applications and other cloud-based technologies.
</li><li>Comfortable interacting with all levels of customer and Salesforce management.
</li><li>Ability to multitask and perform effectively under pressure.
</li><li>Understanding of Internet technologies: firewalls, web servers, web proxy servers, etc.
</li><li>Experience with database concepts and data management (RDBMS), JSON, and SQL.
</li><li>Familiarity or experience with system logging tools (Splunk, Sumo Logic) as well as system monitoring.
</li><li>This candidate must be a U.S. citizen (U.S. born or naturalized) who does not hold dual citizenship and agrees to complete a U.S. federal government background clearance process.
</li></ul><p></p><p><b>Salesforce Certifications
</b></p><ul><li>Salesforce Certified Administrator
</li><li>Salesforce Certified OmniStudio Developer
</li><li>Platform App Builder 1
</li><li>Platform Developer 1
</li></ul><p></p><p><b>Gov Cloud Compliance &amp; Risk Management
</b></p><ul><li>Keep support workflows aligned with Gov Cloud controls, FedRAMP, and internal security policies.
</li><li>Partner with InfoSec, Legal, and internal governance stakeholders as needed for audits, access, and data handling.
</li></ul><p></p><h2 class="jobSectionHeader"><b>Preferred Qualifications
</b></h2><ul><li>Salesforce Industry CPQ Certification
</li><li>Revenue Cloud CPQ and Advanced Certification
</li><li>Experience in Energy, Health, Insurance, Financial Services, Telecommunications, Retail, and Consumer Goods industries
</li>Experience with FedRAMP-authorized environments, public sector customers, or other regulated industries<br>
<li>
</li></ul><p></p><br>
<p>Unleash Your Potential
</p><p>When you join Salesforce, you&rsquo;ll be limitless in all areas of your life. Our benefits and resources support you to find balance and <i>be your best </i>, and our AI agents accelerate your impact so you can <i>do your best </i>. Together, we&rsquo;ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future &mdash; but to redefine what&rsquo;s possible &mdash; for yourself, for AI, and the world.
</p><p></p><p>Accommodations
</p><p>If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form .
</p><p></p><p>Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates&rsquo; resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.
</p><p></p><p>Posting Statement
</p><p>Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that&rsquo;s inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal. Any employee or potential employee will be assessed on the basis of merit, competence and qualifications &ndash; without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.
</p><p></p>In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.
<p></p>At Salesforce, we believe in equitable compensation practices that reflect the dynamic nature of labor markets across various regions.&amp;#xa;&amp;#xa;The typical base salary range for this position is $99,400 - $150,300 annually. &amp;#xa;&amp;#xa;The range represents base salary only, and does not include company bonus, incentive for sales roles, equity or benefits, as applicable.</div><p></p>

Senior Technical Support Engineer- Industries- Government Cloud

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
Senior Structural Engineer, Data Center Engineering - Electrical Products and Services<br>
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AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain, and we're looking for talented people who want to help.<br>
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You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.<br>
<br>
The Team<br>
Amazon Web Services' Electrical Products and Services Engineering team has long driven innovation for the electrical systems that underpin our global data centers. As our product portfolio grows, we are expanding our scope to include the structural products and systems that are integral to our electrical infrastructure, ensuring that the physical frameworks supporting our electrical equipment meet the same standards of reliability, performance, and scalability. We are a collaborative, high-impact group focused on achieving industry-leading reliability through rigorous design standards, continuous improvement, and scalable remediation programs across the AWS fleet.<br>
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Your Impact<br>
Design &amp; Lead: Define and own the structural engineering strategy for next-generation electrical product designs, delivering resilient, cost-effective, and scalable structural solutions that support our global data center footprint.<br>
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Own Full-Cycle Programs: Lead structural projects from concept through implementation, including structural analysis, product qualification, and design remediation, while managing scope, schedule, and budget across multiple concurrent programs.<br>
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Set the Standard: Develop and drive adoption of structural engineering standards, specifications, and design guidelines that improve quality, consistency, and efficiency across the product portfolio.<br>
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Consult and Advise: Serve as the internal structural engineering consultant for the team, providing expert guidance on lifting and rigging plans, product tie-down requirements for transport, and seismic analysis, including test planning, results interpretation, and recommendations for product design changes.<br>
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Collaborate Globally: Partner with cross-functional teams spanning technical program management, architecture, civil, mechanical, electrical, supply chain, operations, safety, security, and legal to deliver world-class structural outcomes.<br>
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Drive Innovation: Identify structural risks across the product portfolio, evaluate new materials and construction methods, and develop scalable solutions that advance the state of data center structural engineering.<br>
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Who You Are<br>
You hold a Bachelor's degree (or higher) in Structural, Mechanical or Civil Engineering, with 8+ years of professional experience in structural design for commercial, industrial, or mission-critical facilities. You have expertise in seismic design and detailing for structural steel systems, and you are skilled in applying building codes and standards across multiple regions and international jurisdictions. You hold a Professional Civil/Structural Engineering (PE) License and have a track record of leading cross-functional teams and managing external design consultants on large-scale capital programs. You thrive in complex, fast-moving environments, excelling at communicating technical decisions and trade-offs to senior leadership and non-technical stakeholders, and you are committed to mentoring and developing the engineers around you.<br>
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Travel<br>
This role requires up to 25% domestic and international travel to support site walks, field observations, audits, and global project teams, sometimes with short notice.<br>
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Key job responsibilities<br>
<ul><li>Serve as the internal structural engineering lead for the team, providing guidance on lifting and rigging plans, product tie-down for transport, and seismic analysis across the electrical product portfolio.</li><li>Lead seismic analysis programs including test planning, coordination with third-party testing labs, results analysis, and development of recommendations for product design changes.</li><li>Review and approve lifting and rigging plans for electrical products, ensuring compliance with applicable standards and safe handling requirements.</li><li>Define tie-down and restraint requirements for product transport, coordinating with supply chain and logistics teams to ensure structural integrity during shipping and installation.</li><li>Work with internal partner teams to solicit customer input and define structural design requirements for product development.</li><li>Lead new structural product design, development, and qualification of structural systems used in AWS data center electrical infrastructure, including structural supports, equipment enclosures, and cable management systems.</li><li>Work with global suppliers and manufacturers to specify appropriate structural products and components, ensuring tier 2-3 supply chain resiliency.</li><li>Ensure compliance with applicable structural codes and standards including IBC, ASCE 7, AISC, and federal, state, and municipal requirements across different countries through appropriate levels of testing and review.</li><li>Validate design through prototype, pre-production, and first-of-kind builds, conducting DFx and value engineering analysis through each step and updating design and documentation.</li><li>Work with field engineering and commissioning teams to properly test and validate installation, operation, and performance of structural products.</li><li>Provide support for manufacturing activities for new structural products on concurrent projects in multiple geographical locations.</li><li>Be a leader within the product development team as well as within internal and external teams that support the data center.</li><li>Mentor and develop junior and mid-level structural engineers, raising the technical bar across<br>
</li></ul><br>
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A day in the life<br>
Your day will be a dynamic blend of technical consulting and hands-on engineering. You'll engage in cross-functional design reviews, seismic analysis sessions, lifting and rigging plan reviews, and strategic planning that shapes the future of AWS data center electrical infrastructure. Expect to move seamlessly between advising on structural requirements for new product designs, interpreting seismic test results, and communicating recommendations to senior leadership. International and domestic travel will bring you directly to the sites and facilities where your decisions come to life.<br>
<br>
About the team<br>
We are a global engineering team dedicated to pushing the boundaries of electrical and structural product design for mission-critical infrastructure. Our team thrives on technical rigor, collaboration, and the shared mission of delivering safe, reliable, and cost-effective systems that power cloud computing worldwide. We value diverse perspectives and empower engineers to drive meaningful advancements across the fleet</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>Bachelor's degree in Construction Management, Architecture, Structural, Civil, Mechanical or Electrical Engineering</li><li>8+ years leading structural product design, development, qualification, and manufacturing support of structural systems used in commercial, industrial, or mission-critical facilities.</li><li>Experience in seismic design and detailing for structural steel systems.</li><li>Experience with lifting and rigging analysis and product tie-down requirements for transport.</li><li>Demonstrated track record of design documentation creation including drawings, specifications, submittals, and design packages.</li><li>Experience validating design through prototype builds, pre-production builds, and first-of-kind builds, conducting DFx and value engineering analysis through each step and updating design and documentation.</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Professional Engineering or Architectural License</li><li>Knowledge of building codes and regulations for your region</li><li>Master's degree in Construction Management, Architecture, Structural, Civil, Mechanical or Electrical Engineering</li><li>Experience in data center design, construction, operations, or facility maintenance</li><li>Knowledge of both mechanical and electrical equipment or design related to data center electrical and mechanical topology</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, TX, Austin - 136,600.00 - 184,800.00 USD annually<br>
USA, VA, Herndon - 136,600.00 - 184,800.00 USD annually<br>
USA, WA, Seattle - 136,600.00 - 184,800.00 USD annually</div><p></p>

Senior Structural Engineer, Data Center Engineering - Electrical Products and Services

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