aiml - sr backend engineer, data and ml innovation

senior data engineer, core experimentation

patient transporter (full time and part time)

ai / software engineering intern Jobs in Seattle

ai / software engineering intern

aiml - sr backend engineer, data and ml innovation Jobs in Seattle

data engineer

licensing team lead

senior data engineer, core experimentation Jobs in Seattle

senior lead software engineer

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
If you are interested in this position, please apply on Twitch's Career site https://www.twitch.tv/jobs/en/<br>
<br>
About Us:<br>
<br>
Twitch is the world&rsquo;s biggest live streaming service, with global communities built around gaming, entertainment, music, sports, cooking, and more. It is where thousands of communities come together for whatever, every day.<br>
We&rsquo;re about community, inside and out. You&rsquo;ll find coworkers who are eager to team up, collaborate, and smash (or elegantly solve) problems together. We&rsquo;re on a quest to empower live communities, so if this sounds good to you, see what we&rsquo;re up to on LinkedIn and X, and discover the projects we&rsquo;re solving on our Blog. Be sure to explore our Interviewing Guide to learn how to ace our interview process.<br>
<br>
About the Role<br>
<br>
Twitch's Enterprise Platform &amp; Technology (EPT) organization is looking for a Senior Software Development Engineer (SDE 3) to architect, build, and operate software systems that power enterprise functions across Twitch and Amazon. This is a hands-on engineering role &mdash; you'll write production code, own team-level architecture, and lead multi-engineer projects from design through deployment and operations.<br>
<br>
The problems you'll solve don't come with a predefined technology strategy. The business direction is understood &mdash; the how is up to you. You'll design and deliver solutions using AWS-native services and AI/agentic patterns, working across domains like Finance, Customer Service, Sales, and Marketing. You'll iterate fast, ship incrementally, and raise the engineering bar for your team through exemplary code, pragmatic design, and mentorship. We need someone who builds, not just advises. You own the architecture and the code.<br>
<br>
You can work in San Francisco, CA; Irvine, CA; or Seattle, WA.<br>
<br>
You Will<br>
<ul><li>Lead projects requiring work from multiple engineers &mdash; owning end-to-end design, integration of parallel work, and delivery across the full software lifecycle (design, implementation, testing, deployment, operations)</li><li>Own team-level architecture for enterprise systems, providing system-wide design guidance and ensuring solutions are cohesive, extensible, and secure</li><li>Build and operate production applications on AWS-native services (Lambda, Step Functions, DynamoDB, Bedrock, S3, CDK, API Gateway, etc.)</li><li>Design and deliver AI-powered and agentic workflows that ship to production &mdash; automating business processes, reducing toil, and accelerating delivery</li><li>Define agentic architecture patterns and establish best practices for building, testing, and operating AI systems in production &mdash; setting the engineering standard for how the team builds with AI</li><li>Design and build data pipelines, data lake integrations, and data models that enable clean, reliable data flows across enterprise systems</li><li>Drive adoption of engineering best practices on your team; set a culture of robust software development through exemplary code, design reviews, and operational rigor</li><li>Actively mentor and coach other engineers, helping them grow their technical skills and independence</li><li>Proactively simplify systems, resolve architecture deficiencies, and reduce operational burden &mdash; identifying one-way-door decisions and advocating for the right long-term solutions</li><li>Communicate technical designs and decisions effectively in writing; develop an understanding of problems that lets you explain them to others in simple, concise terms</li></ul><br>
Perks<br>
<ul><li>Medical, Dental, Vision &amp; Disability Insurance</li><li>401(k)</li><li>Maternity &amp; Parental Leave</li><li>Flexible PTO</li><li>Amazon Employee Discount</li></ul></div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li><li>5+ years of software development experience shipping production systems</li><li>2+ years of hands-on experience building AI/ML-powered systems deployed to production</li><li>Experimentation with agentic architectures is necessary. And production launch is a</li><li>Proficiency in multiple programming languages (e.g., Python, TypeScript/JavaScript, Java)</li><li>Experience designing and building applications using AWS-native services &mdash; not just deploying vendor software on cloud infrastructure</li><li>Demonstrated ability to lead projects involving multiple engineers, owning architecture decisions and integration of parallel work</li><li>Experience designing and building data pipelines, data models, or data lake systems</li><li>Track record of shipping incrementally &mdash; prototyping, validating, iterating, and delivering frequently</li><li>Strong written communication skills; ability to produce technical design documents that create alignment with peers and technical leadership</li><li>Demonstrated ability to solve complex problems with multiple risks and roadblocks, delivering solutions that are as simple as possible</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li><li>Experience across AI/ML engineering and data engineering practices (5+ years combined)</li><li>Familiarity with enterprise platforms (e.g., Salesforce, ServiceNow) as a consumer or integrator</li><li>Experience with security standards and compliance frameworks (SOC2, SOX, GDPR)</li><li>Experience working in enterprise domains such as Finance, Customer Service, Sales, or Marketing</li><li>Mobile development experience (iOS, Android, or cross-platform)</li><li>Experience working in a large-scale, multi-org environment</li><li>Familiarity with integration patterns, middleware, and master data management concepts</li></ul><br>
Twitch is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company&rsquo;s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<br>
<br>
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.<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, CA, Irvine - 168,100.00 - 227,400.00 USD annually<br>
USA, CA, San Francisco - 193,300.00 - 261,500.00 USD annually<br>
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Senior Software Engineer, Enterprise Platform

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Amazon Prime Video is disrupting traditional media with an ever-increasing selection of movies, TV shows, Emmy Award winning original content, add-on subscriptions including HBO and Showtime, and Live events like Thursday Night Football and Major League Baseball. We are a premier provider of digital entertainment worldwide and we continue to grow very quickly! We are looking for a self-motivated, passionate and resourceful SDEs capable of breaking down and solving complex problems, and have a strong will to get things done.
<br>
<br>
We would love to have you join us in the Prime Video Catalog Selection team to manage the end-to-end lifecycle of content rights, offers, and consumption policies - ingesting partner intent, transforming it into customer-facing selection, and distributing it through canonical APIs. As a Software Development Engineer and a part of the Prime Video Core Engineering team, you will work on designing and developing the systems and infrastructures used by Amazon millions of customers worldwide and will regularly interact with product management and senior engineering leadership. You will help to build our technology vision and create people first and high-performing engineering culture towards achieving a focused mission.<br>
<br>
To accomplish this, you will be expected to have an established background in building highly scalable systems and system design, great communication skills, and a motivation to achieve results in a fast paced environment. You should be somebody who enjoys working on complex system software, is customer-centric, and feels strongly about connecting customer problems through underlying scalable software that raises the bar on customer and operational goals. Experience with building and operating web-based applications and/or web services-based applications, especially at massive scale, will be very applicable and helpful.<br>
<br>
We care about your career growth and once you join the team, you and your manager will jointly craft a career plan and you&rsquo;ll review it regularly to ensure you&rsquo;re on track to reach your goals. Whether you want to explore new technologies, take on bigger challenges, or be promoted to the next level, we&rsquo;ll help you get there. Our business is growing fast, and our people will grow with it.</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</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, WA, SEATTLE - 168,100.00 - 227,400.00 USD annually</div><p></p>

Senior Software Development Engineer, Prime Video Catalog Selection Platform

Uber

<div><b>About the Role</b>
<br>
<br>
Uber's Marketplace is at the core of the business. The Earner Incentive team in Marketplace builds products and systems that empower drivers through targeted incentives, creating a more balanced and efficient marketplace while enhancing engagement and experience.
<br>
<br>
The team owns the end-to-end incentive lifecycle, from ML-driven incentive generation to scalable online serving, answering questions such as who, where, when, how, and how much, powered by large-scale machine learning, optimization, and experimentation systems . These systems enable proactive, targeted incentives that shape supply, optimize earnings, and guide marketplace balance.
<br>
<br>
We are seeking a Senior Machine Learning Engineer to design and scale the technical foundations behind Uber's driver incentive systems. You will develop and productionize large-scale ML models and decision systems that power both scheduled and near real-time, intelligent incentive generation and delivery at Uber's global scale.
<br>
<br>
In this role, you will collaborate closely with engineers, product managers, operations, and scientists to set technical direction, make thoughtful trade-offs, and turn complex problems into reliable production systems. Your work will directly shape how incentives are designed and delivered at scale, enhancing marketplace efficiency and reliability, and empowering earning opportunities for millions of drivers worldwide.
<br>
<br>
<b>What the Candidate Will Do
</b><ul><li>Design, develop, productionize, and operate end-to-end ML solutions and data pipelines for large-scale systems that power driver incentives.
</li><li>Develop and apply advanced ML and optimization techniques to design incentive mechanisms for online marketplaces, improving marketplace efficiency and reliability while enabling earning opportunities for millions of drivers.
</li><li>Build deep domain expertise in incentives, pricing, and marketplace dynamics, and understand how these systems interact with Operations. Translate business requirements into clear problem statements and actionable technical plans, reasoning through trade-offs to deliver practical, production-ready solutions.
</li><li>Help set the team's technical direction and drive execution in partnership with technical leads. Provide technical mentorship, and review designs and code to maintain high engineering quality.
</li><li>Collaborate closely with engineers, product managers, scientists, and Operations to drive clarity, alignment, and delivery of high-impact solutions to complex business problems.
</li><li>Own projects end-to-end, from ideation and design through production rollout and iteration, and drive measurable business impact across teams.
</li></ul><b>Basic Qualifications
</b><ul><li>Ph.D., M.S., or Bachelor's degree in Computer Science, Statistics, Mathematics, Machine Learning, Operations Research, or a related field, or equivalent practical experience with demonstrated impact.
</li><li>5+ years of experience across the end-to-end ML lifecycle, including data analysis, feature engineering, model development, deployment, monitoring, and iteration in large-scale production systems. Proven ability to deliver measurable business impact and strong understanding of MLOps best practices.
</li><li>Strong understanding of a broad range of ML and statistical techniques, including deep learning (e.g., multi-task learning, transformers), tree-based models, and classical approaches, with solid judgment in selecting methods based on context and data.
</li><li>Proficiency in at least one production language (Python, Scala, Java, or Go) and common ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
</li><li>Solid software engineering skills, including system design, writing and reviewing production-quality code, testing, and operating ML systems in production.
</li><li>Strong ownership, learning mindset, collaboration and communication skills; able to work independently and effectively in cross-functional teams.
</li></ul><b>Preferred Qualifications
</b><ul><li>Experience developing and deploying pricing, matching, or incentive algorithms for two-sided marketplaces, with strong product intuition and system-level thinking.
</li><li>Experience with multi-armed bandits, reinforcement learning, and causal ML, including applying these methods in production systems.
</li><li>Familiarity with large-scale data and ML infrastructure (e.g. Spark, Flink), and batch or real-time data processing systems.
</li><li>Strong communication and leadership skills, with the ability to lead initiatives, prototype quickly, drive alignment, and collaborate effectively with cross-functional partners, from early idea generation through productionization.
</li><li>Experience leading complex technical projects, influencing scope, technical direction, and execution across multiple engineers or teams.
</li><li>Ability to translate ambiguous business problems into clear, actionable problem statements, define success metrics, and drive execution through well-reasoned trade-offs.
</li><li>Demonstrated technical leadership, such as mentoring engineers, leading cross-functional efforts, or shaping ML / optimization strategy.
</li>Experience designing, running and analyzing large-scale online experiments to prove impact, interpret results, guide decision-making, and translate insights into concrete product or system changes.<br>
<li>
</li></ul><br>
<br>
For San Francisco, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For Seattle, WA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$202,000 per year - USD$224,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award &amp; other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits. More details can be found at the following link https://jobs.uber.com/en/benefits.</div>

Senior Machine Learning Engineer - Earner Incentive

OpenAI

About the Team
<br><br>
The Statsig team at
<br><br>
OpenAI
<br><br>
builds and operates the experimentation platform that powers product development, measurement, and decision-making across the company. We partner closely with product, engineering, and infrastructure teams to ensure experiments are trustworthy, statistically rigorous, and scalable to the needs of frontier AI products.
<br><br>
Our mission is to help teams make better decisions through reliable experimentation. We care deeply about statistical correctness, pragmatic solutions, and building systems that researchers and engineers can trust at massive scale. The team operates at the intersection of experimentation methodology, data infrastructure, causal inference, and product analytics.
<br><br>
We are looking for experienced experimentation experts who want to shape the future of experimentation in the AI era.
<br><br>
<b>About the role:</b><br>
We're seeking a Data Engineer to take the lead in building our data pipelines and core tables for OpenAI. These pipelines are crucial for powering analyses, safety systems that guide business decisions, product growth, and prevent bad actors. If you're passionate about working with data and are eager to create solutions with significant impact, we'd love to hear from you. This role also provides the opportunity to collaborate closely with the researchers behind ChatGPT and help them train new models to deliver to users. As we continue our rapid growth, we value data-driven insights, and your contributions will play a pivotal role in our trajectory. Join us in shaping the future of OpenAI!
<br><br>
<b>In this role, you will:</b><br>
Design, build and manage our data pipelines, ensuring all user event data is seamlessly integrated into our data warehouse.
<br><br>
Develop canonical datasets to track key product metrics including user growth, engagement, and revenue.
<br><br>
Work collaboratively with various teams, including, Infrastructure, Data Science, Product, Marketing, Finance, and Research to understand their data needs and provide solutions.
<br><br>
Implement robust and fault-tolerant systems for data ingestion and processing.
<br><br>
Participate in data architecture and engineering decisions, bringing your strong experience and knowledge to bear.
<br><br>
Ensure the security, integrity, and compliance of data according to industry and company standards.
<br><br>
<b>You might thrive in this role if you:</b><br>
Have 3+ years of experience as a data engineer and 8+ years of any software engineering experience(including data engineering).
<br><br>
Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
<br><br>
Experience with distributed processing technologies and frameworks, such as Hadoop, Flink and distributed storage systems (e.g., HDFS, S3).
<br><br>
Expertise with any of ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks.
<br><br>
Solid understanding of Spark and ability to write, debug and optimize Spark code.
<br><br>
This role is based in Bellevue. We use a hybrid work model and value in-person collaboration for technical design, iteration, and cross-functional partnership.
<br><br>
<b>Compensation Range:</b><br>
$293K - $325K USD
<br><br>
About OpenAI
<br><br>
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
<br><br>
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
<br><br>
For additional information, please see
<br><br>
OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement
<br><br>
.
<br><br>
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
<br><br>
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through
<br><br>
this form
<br><br>
. No response will be provided to inquiries unrelated to job posting compliance.
<br><br>
We are committed to providing reasonable accommodations to applicants with disabilities.
<br><br>
OpenAI Global Applicant Privacy Policy
<br><br>
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
<br><br>
Compensation
<br><br>
$293K – $325K + Offers Equity

Senior Data Engineer, Core Experimentation

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Payroll Technology at Amazon is all about enabling our business to perform at scale as efficiently as possible with no defects. As Amazon's workforce grows, both in size and geography, Amazon's payroll operations become increasingly complex. The conventional manual processes are less effective in the new landscape, and we are building solutions to automate manual processes using a variety of OpenSource and Amazon Web Services (AWS) technologies.<br>
<br>
We are building a platform with a unique combination of File Share, Data Lake, and Data Processing Engine with built-in anomaly detection, self-service onboarding, and General Data Protection Regulation (GDPR) compliance tailored for each region.<br>
<br>
The ideal candidate for this role will be a self-starter and is comfortable with ambiguity, and excel at building highly scalable solutions. They will have prior experience in solving complex problems, massive data volume, and complex business rules. Lastly, they will enjoy learning and implementing new technologies and will be independent in implementing it in suitable situations.<br>
<br>
Key job responsibilities<br>
As an SDE on our team, you will be responsible for leading the architecture, design, development and launch of some of the core product features. You will have significant influence on our overall strategy by helping define these product features, drive the system architecture, and spearhead the best practices to delivery high quality products.<br>
<br>
The ideal candidate is clearly passionate about new opportunities and has a demonstrated track record of success in delivering new features and products. A commitment to team work, hustle, and strong communication skills (to both business and technical partners) are absolute requirements. You will tackle large complex projects, massive data volume + complex business rules in a highly distributed and service-oriented architecture. create reliable, scalable, secure products for our customers in a hyper-growth environment where priorities shift fast<br>
<br>
This position requires that you are a significant and autonomous contributor. Your work is consistently high quality. You solve complex problems, applying appropriate technologies and best practices. Your focus is on designing, developing and effectively applying automated solutions that test major portions of software (e.g., significant component, set of features, mid-size application, service, etc.). You prevent and find defects early. You apply software testing techniques, such as equivalence class partitioning, boundary value testing, etc. You build complete test and/or measurement solutions (e.g., performance, load, scalability, usability, etc.) You use data from testing, deployment, and production to measure quality and provide actionable improvement to the product. You write code that an SDE unfamiliar with the system can understand. You are proficient in a broad range of design approaches and know when it is appropriate to make trade-offs. Your solutions are pragmatic. You do things with the proper level of complexity the first time (or at least minimize incidental complexity). You consider the legacy of the code you produce, limiting the use of short-term workarounds. You create flexible software without over-engineering. You re-use where possible, while being judicious about introducing dependencies. You are efficient with resource usage.
</p><h2 class="jobSectionHeader"><b>BASIC QUALIFICATIONS</b></h2><ul><li>5+ years of non-internship professional software development experience</li><li>5+ years of programming with at least one software programming language experience</li><li>5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience as a mentor, tech lead or leading an engineering team</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</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, WA, Seattle - 168,100.00 - 227,400.00 USD annually</div><p></p>

Senior Software Development Engineer, Payroll Locker - Payroll Tech

Expeditors

<div><b>Company Description</b><p><br>
&ldquo;We&rsquo;re not in the shipping business; we&rsquo;re in the information business&rdquo; -Peter Rose, Expeditors Founder</p><p>
Global supply chain management is what we do, but at the heart of Expeditors you will find professionalism, leadership, and a friendly environment, all of which foster an innovative, customer service-based approach to logistics.</p><ul><li>
18,000 trained professionals</li><li>
350+ locations worldwide across 60+ countries</li><li>
Fortune 500</li><li>
Globally unified systems</li></ul><br>
<b>
Job Description</b><p><br>
We are seeking a <b>Senior DevOps Engineer</b> to lead the design, implementation, and evolution of scalable, secure, and automated cloud platforms that power our enterprise applications and customer-facing systems.</p><p>
This role is ideal for a highly experienced engineer who thrives in complex environments, is passionate about automation and quality, and can partner across engineering, architecture, and product teams to drive modern DevOps practices. You will act as both a <b>technical leader and change agent</b>, improving the way we build, deploy, and operate software at scale.</p><p><b>
Key Responsibilities</b></p><p><b>
DevOps Architecture &amp; Platform Engineering</b></p><ul><li>
Design and implement <b>end-to-end DevOps platforms</b> supporting CI/CD, infrastructure automation, and application deployment</li><li>
Architect <b>Infrastructure as Code (IaC)</b> solutions using tools such as Terraform, Bicep, and Packer</li><li>
Build and maintain <b>cloud-native solutions</b> in Azure and AWS environments</li><li>
Develop scalable deployment strategies leveraging <b>Kubernetes and containerization</b></li></ul><p><b>
Automation &amp; CI/CD Excellence</b></p><ul><li>
Create and optimize <b>fully automated CI/CD pipelines</b> across build, test, and release processes</li><li>
Implement quality gates, automated testing strategies, and deployment validation mechanisms</li><li>
Drive <b>1-click environment provisioning</b> and repeatable infrastructure deployment</li></ul><p><b>
Cloud &amp; Infrastructure Engineering</b></p><ul><li>
Lead cloud architecture design across <b>multi-tenant distributed systems</b></li><li>
Ensure systems are <b>secure-by-design</b>, leveraging native cloud security, networking, and monitoring capabilities</li><li>
Manage cost optimization, performance tuning, and operational scalability</li></ul><p><b>
Reliability, Observability &amp; Operations</b></p><ul><li>
Establish monitoring, logging, and telemetry frameworks to support system reliability and performance</li><li>
Improve operational processes through automation and reduction of manual effort</li><li>
Support production releases and provide technical leadership during complex deployments</li></ul><p><b>
Engineering Culture &amp; Enablement</b></p><ul><li>
Partner with development teams to embed <b>DevOps and quality-first principles</b> into the SDLC</li><li>
Mentor engineers on cloud, DevOps tooling, CI/CD, and automation best practices</li><li>
Lead adoption of modern engineering practices including <b>Agile, TDD, and continuous delivery</b></li><li>
Document best practices, workflows, and platform standards for enterprise adoption</li></ul><p>
You will play a critical role in advancing Expeditors&rsquo; engineering capabilities by building modern DevOps platforms, enabling high-quality software delivery, and helping teams operate at scale with confidence and efficiency.</p><p><i>
This position is on-site and will reside in the greater Seattle, WA. area at one of the following locations depending on availability. Candidates must be local or willing to relocate. Relocation assistance is not offered for this position.</i></p><ul><li><i>
Downtown Seattle</i></li><li><i>
Federal Way</i></li><li><i>
Lynnwood</i></li><li><i>
Bellevue (Factoria)</i></li></ul><p></p><b><br>
Qualifications</b><p><br>
MINIMUM QUALIFICATIONS</p><ul><li>
10+ years of experience in software engineering, DevOps, or infrastructure engineering</li><li>
Proven experience designing and implementing <b>CI/CD pipelines and DevOps platforms</b></li><li>
Hands-on experience with <b>cloud platforms (Azure and/or AWS)</b></li><li>
Strong experience with <b>Infrastructure as Code (Terraform strongly preferred)</b></li><li>
Experience with <b>containerization and orchestration (Docker, Kubernetes)</b></li><li>
Proficiency in one or more programming languages (e.g., Python, Java, Node.js, or .NET)</li><li>
Deep understanding of <b>software delivery lifecycle (SDLC)</b> and DevOps principles</li><li>
Strong problem-solving skills with experience in complex enterprise environments</li></ul><p>
DESIRED QUALIFICATIONS</p><ul><li>
Experience modernizing legacy systems into <b>cloud-based SaaS platforms</b></li><li>
Background in <b>quality engineering, test automation, or SDET practices</b></li><li>
Experience with <b>distributed systems, event streaming (e.g., Kafka), or microservices architectures</b></li><li>
Familiarity with <b>observability tools, logging frameworks, and monitoring platforms</b></li><li>
Cloud certifications (e.g., AWS DevOps Engineer, Terraform Associate, Azure Administrator)</li><li>
Experience mentoring teams and driving <b>organizational DevOps transformation</b></li></ul><p><i>
Applicants are required to be eligible to lawfully work in the U.S. immediately; employer will not transfer or sponsor applicants for U.S. work authorization (such as an H-1B visa) for this opportunity.</i></p><b><br>
Additional Information</b><p><br>
Expected base salary: $150,000 to $210,000</p><p>
May be eligible for bonus following first year of continuous employment in position.</p><p>
Expeditors offers competitive benefits to all full-time employees including:</p><ul><li>
Paid vacation</li><li>
Holidays (10)</li><li>
Flexible Days (2)</li><li>
Paid Sick Time (accrual rate of 1 hour of sick time per 30 hours paid)</li><li>
401(k) Retirement Savings Plan with employer match</li><li>
Employee Stock Purchase Plan (ESPP)</li><li>
Medical, Prescription Drug, Dental &amp; Vision Coverage</li><li>
Health Savings Account (HSA)</li><li>
Life and Disability Insurance</li><li>
Paid Parental Leave (additional eligibility criteria)</li><li>
Dependent Care Flexible Spending Account (DC FSA)</li><li>
Commuter Benefit</li><li>
Employee Assistance Program (EAP)</li><li>
Training and Personnel Development Program</li><li>
Educational Assistance and Reimbursement</li><li>
Position is full time (40 hours per week) Monday through Friday</li></ul><p><i>
All your information will be kept confidential according to EEO guidelines.</i></p></div>

Senior Engineer (DevOps) - EXP.O NOW, GT Customer Experience

Realign

<div>Seattle, Washington 98039 Posted March 12th, 2026
 <div></div><p>Looking for more job opportunities? Click here!</p></div>
<br><div><p>Job Type: Full Time</p>
<p>Job Category: IT</p>
<p>Job Description</p>
<p></p><p><b>Job Title:</b> PSA Engineer - Network Transmission <b>(Energy Domain)</b><br>
<b>Location &ndash; </b>Seattle, WA / Melbourne, FL<br>
<b>Contract</b></p><div><b>
Job Description</b></div><div><b>
Must Have Technical/Functional Skills</b></div><div>
5+ years of work experience in customizing and delivering Energy Management Systems preferbly e-terrra AEMS - Reliance</div><div>
5 + years of experience with C++, Java or other related language.</div><div>
5+ years of experience with GE&rsquo;s AEMS Reliance source design and development.</div><div>
5+ years of experience with electric utility industry practices.</div><div>
5 years of experience with LINUX and Windows Operating Systems</div><div>
5 years of experience with C, Java &amp; Oracle Database</div><div>
SQL, shell scripting, ability to read and interpret logs &amp; debug files</div><div>
Installation of Operating system patches and other 3rd Party Software such as Oracle, NetApp etc.</div><div>
System configuration and Hands on Experience in GitHub and ClearCase</div><div>
5 years experience on Realtime or Mission Critical Systems</div><div>
Must have experience in picking up and installing fixes on live customer systems</div><div>
Proven track record of problem analysis, identification and resolution</div><div>
Strong troubleshooting &amp; debugging skills</div><div>
Good communication skills (verbal and written)</div><div>
MS office applications (Word, PowerPoint, Excel) and MS Outlook competency</div><div>
Reliance (Formerly known as XA/21) experience</div><div>
Object-Oriented programming techniques, Oracle, and/or system administration, is a plus</div><div></div><div><b><br>
Roles &amp; Responsibilities</b></div><div>
Responsible for advanced Power Systems Application software development and successful delivery of assigned functions to meet corporate project/product commitments. The responsibilities include: working with Electric Utilities or ISOs (Independent System Operators) and Transmission System Operators (TSOs) on functional software specifications, designing, coding, testing, integration, application tuning and delivery</div><div></div><div><b><br>
Generic Managerial Skills</b></div><div>
Ensure customers&rsquo; success by fostering a balanced relationship that benefits both GE and the customer</div><div>
with the goal of producing the highest level of customer support and satisfaction. In this role, you will:</div><div>
Take a leadership role in strategizing with internal staff and customers to solve and prevent re-occurrence of issues.</div><div>
Engage with customers on day to day issues; organize customer calls to facilitate implementation of solutions while adhering to change control, compliance protocols. Ensure solution does solve the customer&rsquo;s issue.</div><div>
Mentors staff in troubleshooting and analysis methods</div><p></p>
<p>Required Skills</p>
<p>CLOUD SECURITY ENGINEER</p> <p>DEVOPS ENGINEER</p> <p>DEVOPS SECURITY ENGINEER</p> <p>SENIOR EMAIL SECURITY ENGINEER</p></div>

PSA Engineer / Network Transmission (Energy Domain)-6

Explore 194+ Senior lead software engineer in Seattle this May. Find roles across top companies and apply now to boost your career.