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automation engineer

Costco Wholesale

<div><div>Costco IT is responsible for the technical future of Costco Wholesale, the third largest retailer in the world with wholesale operations in fourteen countries. Despite our size and explosive international expansion, we continue to provide a family, employee centric atmosphere in which our employees thrive and succeed. 
This is an environment unlike anything in the high-tech world and the secret of Costco&rsquo;s success is its culture. The value Costco puts on its employees is well documented in articles from a variety of publishers including Bloomberg and Forbes. Our employees and our members come FIRST. Costco is well known for its generosity and community service and has won many awards for its philanthropy. The company joins with its employees to take an active role in volunteering by sponsoring many opportunities to help others. 
Come join the Costco Travel IT family. Costco IT is a dynamic, fast-paced environment, working through exciting transformation efforts. We are building the next generation retail environment where you will be surrounded by dedicated and highly professional employees. 
Quality Engineers are core delivery team members responsible for the validation of functional and non-functional requirements implemented by a team. They are responsible for decomposing the functional and technical requirements created by Product Owners and Systems Analysts into test scripts. Quality Engineers raise defects as issues are identified and support the remediation process with teams.
Costco Travel is looking for a dedicated and experienced Quality Engineer to join the Engineer Productivity team to help us elevate our team to the next level, while having fun learning new technologies and solving complex problems for the organization. This role will be responsible for both designing and testing internal tools and automation. The ideal candidate will be a technical leader with excellent analytical and problem-solving skills, who works collaboratively with the scrum teams to leverage internal tooling to assure the highest member service experience.
The ideal candidate will be a seasoned Quality Engineer with a track record of delivering quality software solutions and the ability to apply their experience to new areas, or have significant experience testing large-scale, multi-system integrated applications. This candidate's experience will demonstrate that they have a solid understanding of Quality Assurance and Development best practices, know where and when to apply them, and know when flexibility within those guidelines is acceptable. This candidate must have a clear understanding of the software development methodologies and will have consistently delivered high-quality software solutions using various methodologies. This candidate will demonstrate solid technical skills which have served them to find, troubleshoot, and research problems and issues and bring them to closure. They will proficiently create and leverage tooling, automation solutions and procedures as one of the many skills in their QA toolkit.
If you want to be a part of one of the worldwide BEST companies &ldquo;to work for&rdquo;, simply apply and let your career be reimagined. 
 
ROLE<div><ul><li> 
 Designs effective internal tools and infrastructure including proof and concept development to support service-oriented architecture.</li></ul></div><ul><li> 
Maintains and enhances existing internal and test tools and frameworks.</li></ul><ul><li> 
Mentors and guides members of the team to increase skills and productivity within and outside of the team.</li></ul><ul><li> 
Manages and prioritizes team back-log effectively with QA leadership team.</li></ul><ul><li> 
Designs testing processes for continuous improvement.</li></ul><ul><li> 
Executes and troubleshoots daily test runs on demand and communicate results to the organization.</li></ul><ul><li> 
Improves existing continuous testing process to proactively find bugs during the release cycle.</li></ul><ul><li> 
Drives adoption of standards and best practices for test tools and framework development, and automation.</li></ul><ul><li> 
Discovers problems, analyzes, and mitigates quality risks.</li></ul><ul><li> 
Assists in the definition of testing strategies and approaches for complex technical implementations.</li></ul><ul><li> 
Partners with peers to develop test processes for CICD as well as meet deadlines and satisfy requirements.</li></ul><ul><li> 
Leads the way by staying up to date with tools, trends, and technologies.</li></ul> 
 
REQUIRED<div><ul><li> 
6+ years&rsquo; experience with Java development or any other object-oriented language.</li></ul></div><ul><li> 
3-5 years&rsquo; experience with design test tools and infrastructure and system integration.</li></ul><ul><li> 
Experience with microservice architecture and cloud technologies.</li></ul><ul><li> 
Experience with React development.</li></ul><ul><li> 
Experience with Mobile device automation (Appium).</li></ul><ul><li> 
Experience working with Junit/TestNG, Maven, Git, JDBC, Rest Assured, Splunk, SoapUI, Jenkins, ADO.</li></ul><ul><li> 
Experience with monitoring and alerting applications.</li></ul><ul><li> 
Proficient with UI automation tools, ideally Selenium Web Driver.</li></ul><ul><li> 
Working experience with Microsoft SQL and/or Transact-SQL</li></ul><ul><li> 
Excellent communication, collaboration, reporting, analytical, and problem-solving skills.</li></ul><ul><li> 
Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.</li></ul>
Recommended<div><ul><li> 
Appreciation for CI/CD and DevOps.</li></ul></div><ul><li> 
Tomcat/Apache knowledge.</li></ul><ul><li> 
Travel industry knowledge.</li></ul><ul><li> 
Ability to work independently and collaboratively within a close team environment.</li></ul><ul><li> 
Proficient in Microsoft Workspace applications, including Outlook, Word, Excel, PowerPoint, and Teams.</li></ul> 
Required Documents<div><ul><li> 
Cover Letter</li></ul></div><div><ul><li> 
Resume</li></ul></div><div><ul><li> 
Last two performance reviews</li></ul></div><div><ul><li> 
Attendance records for current year (Do not include absences covered by paid sick/personal time,</li></ul>
 FMLA or other protected absences.)</div> 
California applicants, please review the Costco Applicant Privacy Notice. 
Pay Ranges: 
Level 2 - $105,000 - $135,000 
Level 3 - $130,000 - $160,000 
We offer a comprehensive package of benefits including paid time off, health benefits - medical/dental/vision/hearing aid/pharmacy/behavioral health/employee assistance, health care reimbursement account, dependent care assistance plan, short-term disability and long-term disability insurance, AD&amp;D insurance, life insurance, 401(k), stock purchase plan to eligible employees.
Costco is committed to a diverse and inclusive workplace. Costco is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other legally protected status. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to IT-Recruiting@costco.com 
If hired, you will be required to provide proof of authorization to work in the United States. In some cases, applicants and employees for selected positions will not be sponsored for work authorization, including, but not limited to H1-B visas.</div></div>

Quality Engineer - Engineering Productivity - Costco Travel

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
We're seeking a Systems Development Engineer to join Amazon Robotics and Tech Deployment Systems Integration team, focusing on developing sophisticated cloud-native software solutions for commissioning and testing our robotic systems. You'll be part of a team that ensures the commissioning and deployment processes of our robotics solutions through advanced software development, cloud architecture, testing, and deployment processes, including both AWS-based backend systems and user interfaces for testing tools. 
 
Key job responsibilities 
As a Systems Development Engineer at Amazon Robotics, you will be instrumental in developing and maintaining critical cloud-based software solutions for our robotics commissioning and testing infrastructure. Your primary focus will be designing and implementing robust, scalable applications that power our robotics testing tools, leveraging AWS services for maximum efficiency and reliability. You will be responsible for developing sophisticated automated testing frameworks, cloud-native continuous integration pipelines, and intuitive user interfaces that ensure the reliability and usability of our robotic systems. 
 
In this role, you'll implement efficient cloud-based solutions for real-time robotics control and data processing, working at the intersection of software and hardware to create seamless interfaces between various system components. A significant part of your role will involve developing AWS-powered tools for data analysis, visualization, and performance monitoring, enabling our teams to optimize robotic system performance and identify potential improvements. You'll create user-friendly interfaces that allow operators to effectively monitor and control testing procedures while ensuring secure and efficient cloud integration. 
 
Collaboration will be key as you work with cross-functional teams to integrate software components into larger robotics ecosystems. You'll participate in code reviews, contribute to cloud architecture discussions, and continuously optimize existing software for improved performance, reliability, and scalability. Your work will directly impact the efficiency and effectiveness of our robotics deployment processes, making you a crucial part of Amazon's automation innovation efforts. 
 
A day in the life 
As a Systems Development Engineer at Amazon Robotics, your typical day is dynamic and multifaceted: 
 
<ul><li>Morning: Begin by monitoring system performance, participate in team stand-ups, develop new features for commissioning dashboards using React, and optimize AWS Lambda functions.</li></ul> 
<ul><li>Afternoon: Engage in architecture review meetings, troubleshoot issues, implement automated test scenarios, collaborate on UX improvements, and participate in code reviews.</li><li>Throughout the week: Participate in agile ceremonies, liaise with robotics engineers, and attend technical learning sessions.</li></ul>
Your role uniquely combines cloud infrastructure expertise with robotics systems knowledge. You'll have a direct impact on Amazon's automation efficiency, balancing independent work with cross-functional collaboration. This position offers the exciting opportunity to innovate in both software architecture and user experience while working with robotics technology. 
 
A typical week involves developing cloud-based testing tools, optimizing AWS infrastructure, improving testing interfaces, collaborating on new requirements, and contributing to continuous improvement initiatives. This role is ideal for those passionate about cloud technologies, software development, and robotics, offering a perfect blend of technical challenges and impactful outcomes. 
 
Amazon offers a full range of benefits for you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 
 
1. Medical, Dental, and Vision Coverage 
2. Maternity and Parental Leave Options 
3. Paid Time Off (PTO) 
4. 401(k) Plan 
 
If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you&rsquo;re passionate about this role and want to make an impact on a global scale, please apply! 
 
About the team 
We are a dynamic group of engineers who build the foundation for deploying and validating robotic solutions across Amazon's global robotics fields. We are a collaborative team of full-stack developers and automation specialists working at the intersection of cloud computing and robotics. 
 
What Makes Our Team Special: 
<ul><li>We're a fast-moving team that directly impacts Amazon's robotics deployment worldwide</li><li>We combine software expertise with robotics knowledge to solve complex automation challenges</li><li>Our work spans from cloud architecture to user interface design, offering broad technical exposure</li><li>We maintain a culture of innovation where new ideas are welcomed and implemented quickly</li></ul>
Our Culture: 
<ul><li>Strong emphasis on mentorship and professional growth</li><li>Regular knowledge-sharing sessions and technical deep-dives</li><li>Balance of autonomous work and pair programming</li><li>Data-driven decision making</li><li>Commitment to operational excellence</li><li>Open environment that values diverse perspectives</li></ul>
Team Structure: 
<ul><li>Mix of senior and junior software development engineers</li><li>Mix of senior and junior system development engineers</li><li>Technical product managers</li></ul>
Growth Opportunities: 
<ul><li>Mentorship from experienced engineers</li><li>Regular training and certification opportunities</li><li>Career development paths in both technical and leadership tracks</li></ul>
Join us if you're passionate about: 
<ul><li>Building innovative solutions that scale globally</li><li>Working with robotics technologies</li><li>Contributing to the future of automation</li><li>Solving complex technical challenges</li><li>Being part of a collaborative and supportive team</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>Experience in automating, deploying, and supporting infrastructure</li><li>Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust</li><li>Experience with Linux/Unix</li><li>Experience in one or more relevant front-end frameworks such as React, Angular, etc.</li><li>Experience with AWS Services including EC2, Lambda, S3, DynamoDB, SQS</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with CI/CD pipelines build processes</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, MA, N.Reading - 99,100.00 - 160,000.00 USD annually 
USA, WA, Seattle - 99,100.00 - 160,000.00 USD annually</div>

Systems Development Engineer, Tech Deployment & Field Support

Amazon Web Services

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Application deadline: May 20, 2026 
 
Sales, Marketing and Global Services (SMGS) 
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Join us in inventing the tools that empower those sales people to be effective advisors and partners for our customers! The Sales Planning and Compensation (SPC) team is looking for a driven, curious, and passionate inventor to dive deep into our Seller&rsquo;s lives to identify key areas for investment for SPC to build globally scaled products that help them be the worlds best salespeople. 
 
As a member of the Sales Planning and Compensation (SPC) team, you will shape the AWS business's direction as a whole. You will build greenfield solutions from the ground up while using native AWS services and frameworks. The right candidate will have a robust system delivery background, well-rounded technical knowledge, and demonstrated experience working on large scale projects. The candidate must be customer-obsessed, have strong analytical and communication skills, and passionate about learning new technologies. 
You will work with software development engineers to understand features and technical implementation. You will also work with groups such as product management, UX designers to understand customer usage models and develop test plans and suites that approximate real-world environments and regression tests driving the software development process toward quality-centric methodologies. You will develop automated tests to help fasten testing cycles and release faster to our customers. In this role, you will be responsible to deliver manual/automated solutions to test customer facing features. 
 
This position may be based in Seattle (WA), Dallas (TX), Denver (CO), or Arlington (VA). Relocation offered for US residents only. 
 
Key job responsibilities 
Test Planning and Strategy: Developing comprehensive test plans and strategies based on project requirements, ensuring all aspects of the application are covered. 
 
Test Case Development: Designing, writing, and maintaining detailed, comprehensive, and well-structured test cases. 
 
Test Execution: Executing test cases (both manual and automated) and ensuring software quality across various stages of the software development lifecycle. 
 
Defect Identification and Reporting: Identifying, documenting, and tracking defects using bug tracking tools, and working closely with the development team to resolve them. 
 
Automation Development: Writing and maintaining automated test scripts using appropriate tools and frameworks to increase test coverage and efficiency. 
 
Continuous Improvement: Continuously identifying and implementing process improvements to enhance the testing process and improve product quality. 
 
Collaboration and Communication: Collaborating with cross-functional teams, including developers, product managers, and other stakeholders, to ensure quality standards are met. 
 
Performance and Load Testing: Conducting performance, scalability, and load testing to ensure the application can handle the expected load. 
 
Test Environment Management: Setting up, maintaining, and managing test environments to ensure they reflect production environments as closely as possible. 
 
Risk Assessment and Mitigation: Assessing risks associated with releases and working on strategies to mitigate them, ensuring minimal impact on production environments. 
 
About the team 
About AWS 
Diverse Experiences 
AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn&rsquo;t followed a traditional path, or includes alternative experiences, don&rsquo;t let it stop you from applying.
 
 
Why AWS? 
Amazon Web Services (AWS) is the world&rsquo;s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating &mdash; that&rsquo;s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. 
 
Inclusive Team Culture 
Here at AWS, it&rsquo;s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences.
 
 
Mentorship &amp; Career Growth 
We&rsquo;re continuously raising our performance bar as we strive to become Earth&rsquo;s Best Employer. That&rsquo;s why you&rsquo;ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
 
 
Work/Life Balance 
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there&rsquo;s nothing we can&rsquo;t achieve in the cloud.
 
 
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.<h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>4+ years of quality assurance engineering experience</li><li>Experience in automation testing</li><li>Experience as QA lead on medium to large sized projects</li><li>Experience developing high quality test plans, test designs, test strategies, and test execution</li><li>Experience in leading/coordinating work for other test teams</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with at least one automated test framework like Selenium or Appium</li><li>Experience in gathering test requirements to create detailed test plans and defining quality metrics to measure product quality</li><li>Experience working closely with development and business teams to communicate problem impacts and to understand business requirements</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, CO, Denver - 113,900.00 - 160,000.00 USD annually 
USA, TX, Dallas - 113,900.00 - 160,000.00 USD annually 
USA, VA, Arlington - 113,900.00 - 160,000.00 USD annually 
USA, WA, Seattle - 113,900.00 - 160,000.00 USD annually</div>

Quality Assurance Engineer, Sales Planning and Compensation (SPC)

Apple

Are you excited to tackle some of the most ambitious technical challenges in Apple Intelligence? Be involved in collaborating closely with our machine learning researchers, engineers, and data scientists? 
 
Together, you will orchestrate groundbreaking research initiatives and develop transformative products designed to build a significant impact for billions of users worldwide! 
 
As part of Apple&rsquo;s AI and Machine Learning org, we encourage and create groundbreaking technology for large-scale ML systems, computer vision, natural language processing, and multi-modal understanding and generation. 
 
The Data and Machine Learning Innovation (DMLI) team is looking for Machine Learning Engineer to explore new methods, challenge existing metrics or protocols, and develop new insightful practices that will change how we understand data and overcome real-world ML challenges. 
 
Description 
 
As a Machine Learning (ML) Engineer, you will be entrusted with the critical role of innovating and applying state of the art research in ML to tackle complex data problems. 
 
The solutions you develop will significantly impact Apple Intelligence, future Apple products and the broader ML development ecosystem. 
 
You will work with a multidisciplinary team to actively participate in Apple Intelligence&rsquo;s data-model co-design and co-develop practice. 
 
Your responsibilities will extend to the design and development of a comprehensive data generation and curation framework for Apple Intelligence foundation models at Apple. 
 
You will also be responsible to build robust model evaluation pipelines, integral to the continuous improvement and assessment of Apple Intelligence foundation models. 
 
Furthermore, you will have the opportunity to showcase your groundbreaking research work by publishing and presenting at premier academic venues. 
 
&quot;,&quot;responsibilities&quot;:&quot;Develop and implement techniques for creating high-quality synthetic datasets across a variety of domains, including vision, text, and audio data. 
 
Innovate and experiment with new approaches for synthetic data generation to improve the diversity, realism, and representativeness of datasets. 
 
Collaborate with multi-functional teams to understand data requirements and ensure that synthetic datasets are optimized for training foundation models. 
 
Crafting and implementing semi-supervised, self-supervised representation learning techniques for growing the power of both limited labeled data and large-scale unlabeled data. 
 
Develop pipelines and tools to automate synthetic data generation for large-scale AI experiments. 
 
Stay updated with the latest research and industry trends in synthetic data generation, foundational model training, and large-scale data engineering. 
 
Preferred Qualifications 
 
3+ years of experience with developing and evaluating ML applications, and demonstrated experience in understanding and improving data quality. 
 
Strong publication record in relevant conferences (e.g. CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, etc). 
 
Strong problem-solving and communication skills. 
 
Experience of multimodal large language model or image/video generation model training is a plus. 
 
Ph.D/MS degree in Machine Learning, Natural Language Processing, Computer Vision, Data Science, Statistics or related areas. 
 
Minimum Qualifications 
 
Demonstrated expertise in computer vision, natural language processing, and machine learning with a passion for data-centric machine learning. 
 
Deep understanding in multi-modal foundation models. 
 
Staying on top of emerging trends in generative AI and multi-modal LLM. 
 
Strong programming skills and hands-on experience using the following languages or deep learning frameworks: Python, PyTorch, or Jax. 
 
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant . 
 
Pay &amp; Benefits 
 
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $171,600 and $302,200, and your base pay will depend on your skills, qualifications, experience, and location. 
 
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits. 
 
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

AIML - Sr Machine Learning Engineer, Data and ML Innovation

Expeditors

<div>Company Description 
&ldquo;We&rsquo;re not in the shipping business; we&rsquo;re in the information business&rdquo; -Peter Rose, Expeditors Founder
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.<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> 

Job Description 
We are seeking a Senior DevOps Engineer to lead the design, implementation, and evolution of scalable, secure, and automated cloud platforms that power our enterprise applications and customer-facing systems.
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 technical leader and change agent, improving the way we build, deploy, and operate software at scale.
Key Responsibilities
DevOps Architecture &amp; Platform Engineering<ul><li>
Design and implement end-to-end DevOps platforms supporting CI/CD, infrastructure automation, and application deployment</li><li>
Architect Infrastructure as Code (IaC) solutions using tools such as Terraform, Bicep, and Packer</li><li>
Build and maintain cloud-native solutions in Azure and AWS environments</li><li>
Develop scalable deployment strategies leveraging Kubernetes and containerization</li></ul>
Automation &amp; CI/CD Excellence<ul><li>
Create and optimize fully automated CI/CD pipelines across build, test, and release processes</li><li>
Implement quality gates, automated testing strategies, and deployment validation mechanisms</li><li>
Drive 1-click environment provisioning and repeatable infrastructure deployment</li></ul>
Cloud &amp; Infrastructure Engineering<ul><li>
Lead cloud architecture design across multi-tenant distributed systems</li><li>
Ensure systems are secure-by-design, leveraging native cloud security, networking, and monitoring capabilities</li><li>
Manage cost optimization, performance tuning, and operational scalability</li></ul>
Reliability, Observability &amp; Operations<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>
Engineering Culture &amp; Enablement<ul><li>
Partner with development teams to embed DevOps and quality-first principles 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 Agile, TDD, and continuous delivery</li><li>
Document best practices, workflows, and platform standards for enterprise adoption</li></ul>
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.
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.<ul><li>
Downtown Seattle</li><li>
Federal Way</li><li>
Lynnwood</li><li>
Bellevue (Factoria)</li></ul> 
Qualifications 
MINIMUM QUALIFICATIONS<ul><li>
10+ years of experience in software engineering, DevOps, or infrastructure engineering</li><li>
Proven experience designing and implementing CI/CD pipelines and DevOps platforms</li><li>
Hands-on experience with cloud platforms (Azure and/or AWS)</li><li>
Strong experience with Infrastructure as Code (Terraform strongly preferred)</li><li>
Experience with containerization and orchestration (Docker, Kubernetes)</li><li>
Proficiency in one or more programming languages (e.g., Python, Java, Node.js, or .NET)</li><li>
Deep understanding of software delivery lifecycle (SDLC) and DevOps principles</li><li>
Strong problem-solving skills with experience in complex enterprise environments</li></ul>
DESIRED QUALIFICATIONS<ul><li>
Experience modernizing legacy systems into cloud-based SaaS platforms</li><li>
Background in quality engineering, test automation, or SDET practices</li><li>
Experience with distributed systems, event streaming (e.g., Kafka), or microservices architectures</li><li>
Familiarity with observability tools, logging frameworks, and monitoring platforms</li><li>
Cloud certifications (e.g., AWS DevOps Engineer, Terraform Associate, Azure Administrator)</li><li>
Experience mentoring teams and driving organizational DevOps transformation</li></ul>
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. 
Additional Information 
Expected base salary: $150,000 to $210,000
May be eligible for bonus following first year of continuous employment in position.
Expeditors offers competitive benefits to all full-time employees including:<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>
All your information will be kept confidential according to EEO guidelines.</div>

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

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry-leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. 
 
What we do: 
 
<ul><li>Re-invent advertising experiences by bridging human creativity with artificial intelligence</li><li>Transform every aspect of the advertising lifecycle &mdash; from ad creation and optimization to performance analysis and customer insights</li><li>Develop responsible and intelligent AI technologies that balance advertiser needs, enhance the shopping experience, and strengthen the marketplace</li></ul>
Our systems and algorithms operate on one of the world's largest product catalogs, matching shoppers with advertised products with a high relevance bar and strict latency constraints. We work hand-in-hand with Machine Learning and NLP research scientists to deliver highly relevant ads and continuously improve the customer search and detail page experiences. 
 
As a Machine Learning Engineer, you will: 
<ul><li>Drive the technical direction of our offerings across the Sponsored Products organization</li><li>Design, code, troubleshoot, and support scalable ML pipelines and online serving systems</li><li>Work closely with applied scientists to optimize ML model performance and infrastructure</li><li>Implement end-to-end solutions &mdash; what you create is what you own</li></ul> 
We're looking for curious, customer-obsessed engineers with a startup mentality &mdash; those who seek a disruptive yet clear mission, have an owner's mindset, and are relentlessly obsessed with delivering amazing products. 
 
Key job responsibilities 
You will: 
<ul><li>Own technical vision and direction &mdash; Identify problems, develop solutions, and embrace performance metrics to assess system health</li><li>Build and grow your team &mdash; Wear many hats (software design, implementation, project management, operations, business partnerships) and grow leaders within your group</li><li>Collaborate on product direction &mdash; Build strong relationships across engineering, Product, UX, and QA to deliver the right product for customers</li><li>Lead beyond your team &mdash; Contribute to a growing community of engineering leaders, sharing experience and technical acumen to drive org-wide technology decisions</li><li>Own your own shop &mdash; Our products reach hundreds of millions of customers globally; services must meet high standards for operational excellence (24x7x365)</li></ul> 
You are: 
<ul><li>Highly analytical &mdash; You solve problems backed by verifiable data, driving processes, tools, and statistical methods that support rational decision-making</li><li>Team obsessed &mdash; You grow team members, foster creative atmospheres for innovation, and hold engineers accountable for smart decisions and results</li><li>Humbitious &mdash; Ambitious yet humble; you use introspection and feedback to continuously raise the bar</li><li>Engaged by ambiguity &mdash; You explore new problem spaces with unique constraints and non-obvious solutions, quickly identifying gaps and the right people to fill them</li></ul> 
About the team 
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.
</div><h2 class="jobSectionHeader">BASIC QUALIFICATIONS</h2><ul><li>3+ years of non-internship professional software development experience</li><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience</li><li>Knowledge of machine learning model architecture and inference</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Knowledge of Machine Learning and LLM fundamentals, including transformer architecture, training/inference lifecycles, and optimization techniques</li><li>Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT</li><li>1+ years of building large-scale machine-learning infrastructure for online recommendation, ads ranking, personalization or search experience</li><li>Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field</li><li>Experience developing, deploying and managing AI products at scale</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually</div>

Machine Learning Engineer, Ad Response Prediction

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Security Incident Response is looking for a Security Engineer who investigates with urgency, communicates with clarity, and turns every investigation into an opportunity to make the service smarter. You will perform hands-on security response for customers, work alongside AI-powered investigation agents daily, and feed what you learn back into the automation systems that protect all customers. 
 
The AWS Security Incident Response team provides 24/7 security response through a follow-the-sun operating model. The service combines automated triage workflows, AI-powered investigation agents, and human security analysts to respond to threats across customer AWS environments at massive scale. Our AI systems autonomously resolve the majority of routine investigations within minutes. Every engineer on the team is expected to be fluent in how these AI systems work, provide feedback that improves their accuracy, and identify opportunities to extend their capabilities. 
 
This is not a traditional security operations role. You will investigate security incidents hands-on, but equally important is what happens after the investigation: documenting patterns, proposing detection rules, providing structured feedback to AI agents, and building the automation that prevents the same issue from requiring human investigation again. We treat every investigation as a confirmed security incident until the data proves otherwise. 
 
This position requires that the candidate selected be eligible to obtain a US Government security clearance. 
 
Key job responsibilities 
<ul><li>Investigate and respond to security findings and customer-reported security events using AI-powered investigation tools and manual forensic techniques</li><li>Perform CloudTrail forensics, log analysis, and threat intelligence correlation to determine the scope, impact, and root cause of security events in customer AWS environments</li><li>Get on calls with customers during active incidents to walk them through what was compromised and the specific containment steps to execute immediately</li><li>Work alongside AI investigation agents daily &mdash; review AI-generated conclusions, validate accuracy, and provide structured feedback that improves autonomous investigation quality</li><li>Turn every investigation into a service improvement: document reusable indicators, attack patterns, and false positive signals that feed directly into the team's detection pipeline and AI training data</li><li>Identify gaps in existing detection rules and auto-remediation playbooks based on patterns observed during investigations, and propose improvements to senior engineers</li><li>Use AI-powered tools (including agentic AI assistants) to accelerate your own investigations, and share effective techniques with the team</li><li>Coordinate with internal teams to mitigate customer security issues</li><li>Participate in on-call rotations, including weekends</li></ul> 
A day in the life 
You review the investigation queue, pick up findings from AI agents and automated triage, and investigate using CloudTrail forensics and threat intelligence. When you confirm a threat, you get on a call with the customer to guide containment. After each investigation, you extract patterns into the automation pipeline and provide structured feedback to AI agents so they improve. You propose detection rules for recurring false positives and review AI-generated summaries for accuracy. 
 
About the team 
The AWS Security Incident Response team provides 24/7 threat monitoring, investigation, and response for customer AWS environments. The team is driving a strategic transformation &mdash; raising operational standards, building AI-powered investigation capabilities, and expanding coverage. We respond to customer requests within minutes. Zero queue tolerance is the operating standard. We value engineers who solve root causes over those who close tickets. Security engineers receive structured mentorship, regular coaching, and increasing ownership as they grow. Engineers on this team have grown into senior investigators, automation builders, and technical leads.</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>2+ years of web protocols, common security attacks, and remediation (non-internship) experience</li><li>Bachelor's degree in Engineering, Computer Science, or a related field</li><li>Experience with coding/scripting in one or more languages (e.g., Python, C, C++, Java, Ruby, or PowerShell)</li><li>Experience (non-internship) in industry-based security vulnerabilities identification, attack patterns, and remediation techniques</li><li>Knowledge of operating systems, hardware, storage, network, security, database administration and cloud infrastructure</li></ul>
- Knowledge of one or more of the following domains: access-control system and methodology, network security, application- and system-development security, security architecture and models, cryptography, and operations security<h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS services or other cloud offerings</li><li>GCIH (GIAC Certified Incident Handler) or GSEC (GIAC Security Essentials) or Security+</li></ul> 
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 
 
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. 
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. 
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually</div>

Security Engineer, AWS Security Incident Response

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