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automation engineer

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we&rsquo;re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain &mdash; and we&rsquo;re looking for talented people who want to help. 
 
The Data Center Availability team works with the hundreds of AWS data centers around the globe to deliver the highest quality and lowest cost physical security, availability, capacity, and scaling results for our customers. Our aim is to standardize operations globally by delivering tools, policy, processes and procedures to our internal teams. The Availability tech team is seeking a System Engineer to design, develop, and implement software tools that streamline operations by automating tedious manual processes. 
 
Key job responsibilities 
As a System Engineer, you will: 
<ul><li>Design software tools using advanced automation methods such as Agentic AI</li><li>Work with business stakeholders to understand the opportunities to automate the manual work and streamline the process</li><li>Develop and maintain software pipelines using best practices for smooth production code release.</li><li>Suggest and implement best practices for coding, design and operational excellence.</li><li>Mentor engineers and develop them</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>4+ years of building scripts, tooling, and automation for large-scale computing environments experience</li><li>Bachelor's degree in Systems Engineering, Computer Science, or related field or relevant work experience</li><li>Experience with service-oriented architecture and web services</li><li>Experience maintaining the resilience and reliability of services by troubleshooting deployment failures, creating infrastructure as code, creating resources (alarms, metrics, IAM role credentials), infrastructure provisioning and patching hosts</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience designing and developing scripts to automate operational burdens and reviewing scripting changes to ensure they meet the standards for maintainability, scalability and 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 - 104,500.00 - 160,000.00 USD annually</div>

System Engineer, Data Center Availability Team

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
Amazon Music is an immersive audio entertainment service that deepens connections between fans, artists, and creators. From personalized music playlists to exclusive podcasts, concert livestreams to artist merch, Amazon Music is innovating at some of the most exciting intersections of music and culture. We are looking for talented individuals who are able to innovate, design and execute high quality test strategies and test plans to raise the quality bar of our devices and features and delight our customers. 
 
Join us for the opportunity to influence how Amazon Music engages fans, artists, and creators on a global scale. Learn more at https://www.amazon.com/music. 
 
Key job responsibilities 
As a Software Development Engineer-Test, you will use your passion in coding to stress prototypes and suggest design improvements to deliver superior products. You should have a strong knowledge of object-oriented design principles. Your work goes far beyond binary pass/fail tests: you&rsquo;ll engineer systems that assess relevancy to requirements, accuracy and responsiveness across voice, multimodal, web, and mobile platforms. 
 
In this role, you will: 
<ul><li>Design, develop, and maintain automated test scripts and frameworks for voice, multimodal, web, API, and mobile applications</li><li>Build and implement test automation features of medium complexity with minimal guidance</li><li>Create and execute both manual and automated test cases, including regression testing</li><li>Perform functionality, integration, reliability, performance, and compatibility testing against business requirements</li><li>Validate CI/CD pipelines and ensure quality at every step of the development cycle</li><li>Identify, isolate, and track defects using test tools and utilities</li><li>Conduct code reviews and ensure adherence to quality standards</li><li>Design and implement test strategies for significant components, features, or mid-size applications</li><li>Work independently to deliver solutions to complex problems spanning multiple systems</li><li>Work closely with developers, quality engineers, product teams, and stakeholders to balance risk and delivery</li><li>Create and maintain documentation about testing processes and decisions</li></ul></div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of test automation frameworks and tools building experience</li><li>2+ years of non-internship professional software development testing experience</li><li>Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design</li><li>Experience in root cause analysis and troubleshooting or problem solving</li><li>Experience working in a collaborative team environment to deliver high-quality design solutions</li><li>Experience in manual testing, test planning, and creating detailed test cases</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Knowledge of overall system architecture, scalability, reliability, and performance in a database environment</li><li>Experience with security in service-oriented architectures and web services</li><li>Experience with AWS or cloud technologies</li><li>Hands-on experience using AI and LLM-based frameworks to automate quality testing and build intelligent evaluation systems</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>

SDET II, Music Growth & Marketing

Scowtt

<div>
 
 About Scowtt
 
 
 
 Scowtt is an early-stage startup transforming the way businesses convert leads into customers through AI/ML marketing optimization and fully autonomous sales experiences. By integrating CRM, web signals, and product interaction data into a real-time conversion model, we help businesses turn interest into action&mdash;immediately. We&rsquo;re growing fast, and onboarding new customers quickly and cleanly is core to our success.
 
 
 
 About The Role
 
 
 
 We are looking for a motivated, entry-level Machine Learning Engineer to help build, train, and deploy ML models that power our Marketing AI and AI Sales Agent products. This role is ideal for new graduates or early-career engineers who want hands-on experience working on real ML systems in a fast-paced, collaborative startup environment.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Assist in training, evaluating, and deploying ML models
 </li>
 <li>
 Work with structured and behavioral data used in marketing and sales systems
 </li>
 <li>
 Help automate and maintain data and ML pipelines
 </li>
 <li>
 Collaborate with engineers to integrate ML models into AI agents
 </li>
 <li>
 Debug, optimize, and improve model and pipeline performance
 </li>
 <li>
 Learn how ML systems operate in real production environments (cloud, monitoring, iteration)
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must Have
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, ML, Data Science, or equivalent
 </li>
 <li>
 1-3 years of experience in data structures, algorithms
 </li>
 <li>
 1-3 years of experience with machine learning concepts and workflows
 </li>
 <li>
 1-3 years of experience in coding using Python with demonstrated strong coding skills
 
 
 </li>
 </ul>
 
 Should Have
 
 
 
 <ul>
 <li>
 Exposure to ML frameworks through coursework, projects, or internships
 </li>
 <li>
 Curiosity, ownership mindset, and eagerness to learn
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Hands-on project or internship experience with real datasets
 </li>
 <li>
 Exposure to cloud platforms (GCP or AWS)
 </li>
 <li>
 Familiarity with tools like BigQuery, notebooks, or basic data pipelines
 
 
 </li>
 </ul>
 
 What Success Looks Like
 
 
 
 <ul>
 <li>
 You contribute to shipping ML models with guidance
 </li>
 <li>
 You learn to debug data and model issues
 </li>
 <li>
 You steadily increase independence and ownership
 </li>
 <li>
 You build strong foundations in applied ML engineering
 
 
 </li>
 </ul>
 
 Pay Range And Compensation Package
 
 
 
 Based on the level hired at, the cash compensation for this role ranges between $100,000 to $150,000. Selected candidate/s will be eligible for standard benefits and startup equity.
 
 
 
 Equal Opportunity &amp; E-Verify Employer
 
 
 
 Scowtt is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We are committed to providing a workplace free of discrimination and harassment.
 
 
 This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S. For more information, please visit www.e-verify.gov.
</div>

Machine Learning Engineer I

Docusign

<div>
 
 Company Overview
 
 
 
 Docusign brings agreements to life. Over 1.5 million customers and more than a billion people in over 180 countries use Docusign solutions to accelerate the process of doing business and simplify people&rsquo;s lives. With intelligent agreement management, Docusign unleashes business-critical data that is trapped inside of documents. Until now, these were disconnected from business systems of record, costing businesses time, money, and opportunity. Using Docusign&rsquo;s Intelligent Agreement Management platform, companies can create, commit, and manage agreements with solutions created by the #1 company in e-signature and contract lifecycle management (CLM).
 
 
 What you'll do
 
 
 Docusign is looking for a passionate, talented, and collaborative Machine Learning Engineer to join our AI Infrastructure team. Our team is responsible for building Docusign&rsquo;s centralized platform to create, manage and deploy advanced AI/ML solutions to make customer journeys throughout the Docusign Agreement Cloud more efficient. As a Machine Learning engineer, you will help support all aspects of the machine learning lifecycle, including the research platform, training and deployment pipelines, labeling and serving infrastructure. You will partner with a team of expert applied researchers who specialize in various domains, including document understanding, natural language processing (NLP), computer vision, and more to prototype and productionize solutions for real business use-cases at scale.
 
 
 This position is an individual contributor role reporting to the Senior Manager, Machine Learning.
 
 
 
 Responsibility
 
 
 
 <ul>
 <li>
 Write clean, maintainable, and well-tested code for AI infrastructure services and data pipelines under the guidance of senior engineers
 </li>
 <li>
 Assist in building and maintaining CI/CD pipelines and workflows that automate model training and deployment
 </li>
 <li>
 Help monitor the performance of deployed AI services by implementing logging, metrics, and alerting (observability) to ensure system reliability
 </li>
 <li>
 Partner with Applied Scientists and Product Managers to understand requirements and help operationalize ML models for document understanding and NLP tasks
 </li>
 <li>
 Author unit and integration tests for your code components to ensure high quality and stability of the AI platform
 </li>
 <li>
 Develop scripts and small tools to support data labeling processes and ensure data governance standards are met
 </li>
 <li>
 Learn about new ML technologies (LLMs, Triton Inference Server, Kubernetes) and engineering best practices through code reviews and mentorship actively
 
 
 </li>
 </ul>
 Job Designation
 
 
 
 Hybrid:
 
 Employee divides their time between in-office and remote work. Access to an office location is required. (Frequency: Minimum 2 days per week; may vary by team but will be weekly in-office expectation)
 
 
 Positions at Docusign are assigned a job designation of either In Office, Hybrid or Remote and are specific to the role/job. Preferred job designations are not guaranteed when changing positions within Docusign. Docusign reserves the right to change a position's job designation depending on business needs and as permitted by local law.
 
 
 What you bring
 
 
 
 Basic
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, or a related technical field (or equivalent experience)
 </li>
 <li>
 Experience with internships or applicable academic projects
 </li>
 <li>
 Experience with at least one major programming language, preferably Python or C#
 </li>
 <li>
 Experience with data structures, algorithms, and software engineering fundamentals
 </li>
 <li>
 Experience with version control systems (e.g., git) and writing unit tests
 </li>
 <li>
 Experience with RESTful APIs and how web services work
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Previous internship experience in software engineering, data engineering, or machine learning
 </li>
 <li>
 Coursework or academic projects related to Machine Learning, Natural Language Processing (NLP), or Computer Vision
 </li>
 <li>
 Familiarity with containerization technologies like Docker or Kubernetes
 </li>
 <li>
 Exposure to cloud platforms (AWS, Azure, or GCP)
 </li>
 <li>
 Interest in Large Language Models (LLMs) and Generative AI
 </li>
 <li>
 Experience with SQL or data processing libraries (e.g., Pandas, NumPy)
 
 
 </li>
 </ul>
 Wage Transparency
 
 
 Pay for this position is based on a number of factors including geographic location and may vary depending on job-related knowledge, skills, and experience.
 
 
 Based on applicable legislation, the below details pay ranges in the following locations:
 
 
 California: $100,300.00 - $154,900.00 base salary
 
 
 Washington, Maryland, New Jersey and New York (including NYC metro area): $94,600.00 - $137,875.00 base salary
 
 
 
 This Role Is Also Eligible For The Following
 
 
 
 <ul>
 <li>
 Bonus: Sales personnel are eligible for variable incentive pay dependent on their achievement of pre-established sales goals. Non-Sales roles are eligible for a company bonus plan, which is calculated as a percentage of eligible wages and dependent on company performance.
 </li>
 <li>
 Stock: This role is eligible to receive Restricted Stock Units (RSUs).
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Global benefits provide options for the following:
 
 
 <ul>
 <li>
 Paid Time Off: earned time off, as well as paid company holidays based on region
 </li>
 <li>
 Paid Parental Leave: take up to six months off with your child after birth, adoption or foster care placement
 </li>
 <li>
 Full Health Benefits Plans: options for 100% employer paid and minimum employee contribution health plans from day one of employment
 </li>
 <li>
 Retirement Plans: select retirement and pension programs with potential for employer contributions
 </li>
 <li>
 Learning and Development: options for coaching, online courses and education reimbursements
 </li>
 <li>
 Compassionate Care Leave: paid time off following the loss of a loved one and other life-changing events
 
 
 </li>
 </ul>
 
 Work Authorization Notice:
 
 Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.
 
 
 Life at Docusign
 
 
 
 Working here
 
 
 
 Docusign is committed to building trust and making the world more agreeable for our employees, customers and the communities in which we live and work. You can count on us to listen, be honest, and try our best to do what&rsquo;s right, every day. At Docusign, everything is equal.
 
 
 We each have a responsibility to ensure every team member has an equal opportunity to succeed, to be heard, to exchange ideas openly, to build lasting relationships, and to do the work of their life. Best of all, you will be able to feel deep pride in the work you do, because your contribution helps us make the world better than we found it. And for that, you&rsquo;ll be loved by us, our customers, and the world in which we live.
 
 
 
 Accommodation
 
 
 
 Docusign is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need such an accommodation, or a religious accommodation, during the application process, please contact us at accommodations@docusign.com.
 
 
 If you experience any issues, concerns, or technical difficulties during the application process please get in touch with our Talent organization at taops@docusign.com for assistance.
 
 
 Applicant and Candidate Privacy Notice
 
 
 States Not Eligible for Employment
 
 
 This position is not eligible for employment in the following states: Alaska, Hawaii, Maine, Mississippi, North Dakota, South Dakota, Vermont, West Virginia and Wyoming.
 
 
 Equal Opportunity Employer
 
 
 It's important to us that we build a talented team that is as diverse as our customers and where all employees feel a deep sense of belonging and thrive. We encourage great talent who bring a range of perspectives to apply for our open positions. Docusign is an Equal Opportunity Employer and makes hiring decisions based on experience, skill, aptitude and a can-do approach. We will not discriminate based on race, ethnicity, color, age, sex, religion, national origin, ancestry, pregnancy, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, registered domestic partner status, caregiver status, marital status, veteran or military status, or any other legally protected category.
 
 
 EEO Know Your Rights poster
 
 
</div>

Machine Learning Engineer

Call For Referral

<div>
 
 
 Machine Learning Engineer
 
 
 
 
 Work Mode:
 
 
 Remote
 
 
 
 
 Compensation:
 
 
 $100&ndash;$120 per hour
 
 
 
 
 Work Type:
 
 
 Hourly, Independent
 
 
 
 
 Role Overview
 
 
 
 This role supports the evaluation of
 
 advanced machine learning systems
 
 in collaboration with
 
 leading AI research initiatives
 
 . It is intended for
 
 experienced machine learning engineers and researchers
 
 who can contribute to the development of
 
 high-quality evaluation suites
 
 that measure AI performance on
 
 real-world machine learning engineering tasks
 
 .
 
 
 The work focuses on translating
 
 practical ML research and engineering workflows
 
 into
 
 structured benchmarks
 
 for
 
 frontier models
 
 . This is a
 
 project-based, fully remote
 
 opportunity for professionals with
 
 strong hands-on ML research and engineering experience
 
 .
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Design and develop
 
 detailed evaluation suites for machine learning engineering tasks
 </li>
 <li>
 
 Evaluate AI-generated solutions
 
 across model training, debugging, optimization, and experimentation workflows
 </li>
 <li>
 
 Analyze and document
 
 system behavior, performance characteristics, and limitations
 </li>
 <li>
 
 Contribute to the creation of benchmarks
 
 that reflect real-world ML engineering practices
 </li>
 <li>
 
 Maintain high standards
 
 of technical accuracy, clarity, and consistency in all deliverables
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 
 3+ years
 
 of experience in machine learning engineering or applied ML research
 </li>
 <li>
 
 Hands-on experience
 
 with model development, experimentation, and evaluation
 </li>
 <li>
 
 Background in ML research
 
 in an industry or academic setting (strongly preferred)
 </li>
 <li>
 
 Strong ability
 
 to reason about ML system design choices and technical trade-offs
 </li>
 <li>
 
 Excellent written communication skills
 
 and
 
 high attention to technical detail
 
 </li>
 </ul>
 
 
 Work &amp; Payment Details
 
 
 <ul>
 <li>
 You will operate as an
 
 independent professional
 
 </li>
 <li>
 This is a
 
 fully remote
 
 role with a
 
 flexible schedule
 
 </li>
 <li>
 Projects may be
 
 extended, shortened, or concluded
 
 based on needs and performance
 </li>
 <li>
 The work does
 
 not involve access to confidential or proprietary information
 
 from any employer, client, or institution
 </li>
 <li>
 
 Payments are made weekly
 
 via
 
 Stripe or Wise
 
 , based on services delivered
 </li>
 <li>
 Candidates requiring
 
 H1-B or STEM OPT
 
 sponsorship are
 
 not supported
 
 at this time
 </li>
 </ul>
 
 
 Application &amp; Onboarding Process
 
 
 <ul>
 <li>
 
 Upload your resume
 
 </li>
 <li>
 
 AI interview:
 
 A short
 
 15-minute
 
 conversational session to understand your background, experience, and interest in the role
 </li>
 <li>
 
 Follow-up communication
 
 within a few days with next steps and onboarding details
 </li>
 </ul>
 
 
</div>

Machine Learning Engineer (Remote)  $100 –$120/hr

MORSE Corp

<div>
 
 MORSE Corp is an employee owned, small business based in Cambridge, MA, Arlington, VA, and Seattle, WA with a history of fielding
 
 cutting-edge
 
 
 technology. MORSE boasts a specially selected team of scientists, engineers, and software developers to deliver best-in-class technical solutions that solve difficult multidisciplinary problems faced by the US National Security Ecosystem.
 
 
 &nbsp;
 
 
 
 
 We are seeking a Machine Learning Engineer to join our team at MORSE.  You will play a pivotal role in designing, implementing, and managing complex ML algorithms and systems, with a focus on computer vision (CV) and other types of data. You will be responsible for acquiring truth data, integrating algorithms, testing algorithms, combining algorithms, reviewing literature to stay on top of the latest-and-greatest methods, analyzing data from field tests, and developing advanced algorithms.  MORSE&rsquo;s AI &amp; ML work crosses modalities, and experience or interest in the fields of Large Language Models (LLM), audio analysis, computer vision, and advanced reasoning is a plus. You will work with MORSE&rsquo;s current team of engineers to transition algorithms to production, which may run on on-prem servers, on the cloud, or on a real-time embedded system. You will be part of our team working to accelerate our US National Security customers abilities to use natural language processing capabilities in mission-critical environments.
 
 
 &nbsp;
 
 
 
 Responsibilities:
 
 
 &nbsp;
 
 <ul>
 <li>
 
 Develop, fine-tune, train, and optimize Computer Vision algorithms processing tasks such as object detection and tracking.&nbsp;
 
 
 &nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Use MLOps tools for efficient experiment tracking, data management, and reproducibility
 
 
 &nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Write robust, efficient, and maintainable code
 
 
 &nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Track the latest advancements with machine learning research to bring new techniques and methodologies to MORSE
 
 
 &nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Conduct experiments and perform rigorous evaluations to assess the effectiveness and efficiency of CV models
 
 
 &nbsp;
 
 
 </li>
 </ul>
 
 Skills and Requirements:
 
 
 &nbsp;
 
 <ul>
 <li>
 
 US CITIZENSHIP REQUIRED and the ability to obtain a U.S. Security Clearance
 
 
 &nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Masters or Ph.D. in Computer Science, Computer Engineering, Data Science, Aerospace, Mathematics, Physics, or related field
 
 
 &nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Proven experience in applying CV models, techniques, frameworks, and libraries to implement and fine-tune models
 
 
 &nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Proven experience testing and validating the performance of AI technologies in real-world applications
 
 
 &nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Proficiency in Python
 
 
 &nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience with cloud platforms (AWS and Azure)
 
 
 &nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience with Docker
 
 
 &nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Experience with MLOps tools such as Airflow, MLFlow, AimStack, etc.
 
 
 &nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Exceptional communication skills and the ability to work well with customers
 
 
 &nbsp;
 
 </li>
 </ul>
 <ul>
 <li>
 
 Understanding of Department of Defense requirements and standards is a plus
 
 
 &nbsp;
 
 </li>
 </ul>
 
 
 &nbsp;
 
 
 
 
 
 
 &nbsp;
 
 
 
 
 &nbsp;
 
 
 
 MORSE Corp&rsquo;s salary range for this role carefully considers a wide range of compensation factors, including but not limited to, prior experience, education, skills and expertise, location, internal equity, and other factors that are job related and consistent with business need. Therefore, final offer amounts may vary from the amount stated. Depending on role eligibility, total compensation may also include bonus, stock, 401(k) match, paid time off, medical, dental, vision and life insurance.Employees also receive 10 paid holidays per year. MORSE maintains an &ldquo;open&rdquo; leave policy that does not restrict exempt, regular full-time employees to a specific&nbsp;number of paid sick or vacation days. However, this policy is not an &ldquo;unlimited&rdquo; paid leave policy.&nbsp;
 
 
 Compensation: $90,000 USD - $210,000 USD
 
 
 The team at MORSE takes pride in being the smart team that is easy to work with. We focus on steady, long-term success while maintaining a collaborative, enjoyable work experience for our employees. Our team values work-life balance through flexibility and other programs, along with a comprehensive benefits package for employees and families. For more information, please visit www.morsecorp.com.
 
 
 
 &nbsp;
 
 
</div>

<div><h2 class="jobSectionHeader">DESCRIPTION</h2>
Employer: Amazon.com Services LLC 
Position: Manager III, Ops Engineering (multiple positions available) 
Location: Seattle, Washington 
 
Multiple Positions Available: 
 
1. Work with key business and engineering stakeholders to define the vision, strategy, and business roadmap for facility design and automation. 
2. Apply professional and technical expertise in engineering to lead, plan, organize and coordinate the activities of a multidisciplinary design team during requirement definition, concept, detail design, and implementation phases of facility design projects to improve measures associated with capacity, cost, quality, service, safety, and people. 
3. Coordinate and lead all aspects of change management including stakeholder engagement, consensus building, transition planning, monitoring &amp; control related to new facility and equipment planning. 
4. Provide technical skills and expertise to develop, model, simulate, optimize, design, and install sortation systems and processes. 
5. Oversee the collection of data required for various projects and conducts studies or analyses using this data. 
6. Use proven simulation and project management tools in the analysis of business solutions and provides comprehensive reports and recommendations. 
7. Provide engineering expertise in the use of proper technology to assess space requirements, work methods and health and safety solutions. 
8. Use proven financial evaluation methods and data-based engineering analyses to properly evaluate project feasibility, risks, and benefits. 
9. Participate in cost reduction efforts by analyzing proposals to determine viability, operations impact and return on investment. 
10. Lead and manage a team of 6-8 operations engineers. 
11. Domestic travel required up to 80% of the time. 100% telecommuting permitted, work may be performed from anywhere in the U.S. 
 
(40 hours / week, 8:00am-5:00pm, Salary Range $142,800.00/year to $ 193,200.00/year) 
 
Amazon.com is an Equal Opportunity &ndash; Affirmative Action Employer &ndash; Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation<h2 class="jobSectionHeader"> 
BASIC QUALIFICATIONS</h2>
Master's degree or foreign equivalent degree in Industrial Engineering, Mechanical Engineering, or other STEM related discipline and 3 years of experience as a project engineer, process engineer, project manager, manufacturing engineer, or related occupation. Employer will accept a Bachelor&rsquo;s degree or foreign equivalent in Industrial Engineering, Mechanical 
Engineering, or other STEM related discipline and 7 years of progressive post-baccalaureate experience in the job offered or related occupation as equivalent to the Master's degree and three years of experience. 
 
Must have one year of experience in the following skills: 
 
1) Directly managing and responsible for large material handling or automation projects. 
2) Lead and manage a team of 6-8 engineers. 
3) Design and/or implementation experience with integrated automation solutions, such as complex material handling systems, high-speed packaging lines, or manufacturing lines. 
4) Microsoft Office products: Excel, Project and Outlook. 
5) CAD software (AutoCAD, REVIT, BIM 360, etc.). 
 
The pay range for this position in Seattle, Washington is $142,800.00/year to $ 193,200.00/year; however, base pay offered may vary depending on job-related knowledge, skills, and experience A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Seattle, Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.<h2 class="jobSectionHeader"> 
PREFERRED QUALIFICATIONS</h2>
All applicants must meet all the above listed requirements. 
 
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.</div>

Manager III, Ops Engineering - AMZ3815.19

Explore 78+ Automation engineer in Seattle this March. Find roles across top companies and apply now to boost your career.

78 automation engineer jobs In Seattle

System Engineer, Data Center Availability Team

SDET II, Music Growth & Marketing

Machine Learning Engineer I

Machine Learning Engineer

Machine Learning Engineer (Remote) $100 –$120/hr

Machine Learning Engineer

Manager III, Ops Engineering - AMZ3815.19