Boston

Have you always wanted to be a part of something bigger - something that charts a course for the future? Do you love seeing the result of your work reflected in the world around you? Do you thrive on solving problems, spotting patterns and working in an ever-changing environment? Then please, read on!Key job responsibilities• Work with a range of text, speech and other types of data in German• Deliver high-quality labelled data, using guidelines provided to meet our KPIs, and using in-house tools and software.• Report issues with tools and software as and when they occur.• Show Ownership and initiative when providing feedback for improvements to existing tooling that can increase the amount and quality of the data we process - we believe every ground-breaking change starts with a small idea!• Maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information.What We Offer • Opportunity to work in a leading world-class organization, dedicated to making everyday life simpler for millions of people• Competitive salary• Benefits packageA day in the lifeWe are looking for a Data Associate (DA) to undertake the task of foundational labelling functions, such as dialogue evaluation on speech & text data, to assess and improve Alexa’s performance in everyday situations. To effectively change the world, you need to be a bit different - your adaptability, focus, and attention to detail in a constantly shifting environment are unparalleled; you pride yourself on your ability to recognise issues - and come up with elegant and innovative solutions. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. So, an inner drive, individuality, and a creative mind are extremely beneficial.About the teamThe Amazon Data Services organization provides data creation, curation, and analytics services to help develop, test, and train the Alexa AI. We work closely with Amazon Machine Learning (ML) Science and modelling teams, providing the critical data they need to improve Alexa’s speech recognition and language understanding capabilities.BASIC QUALIFICATIONS• Speak, write, and read fluently in German• Comfortable working with speech from various dialects and accents of one or more of the following regional languages: German• High-School or equivalent diploma • Speak, write, and read fluently in English • Knowledge of Microsoft Office products and applications ...

Have you always wanted to be a part of something bigger - something that charts a course for the future? Do you love seeing the result of your work reflected in the world around you? Do you thrive on solving problems, spotting patterns and working in an ever-changing environment? Then please, read on!Key job responsibilities• Work with a range of text, speech and other types of data in Italian• Deliver high-quality labelled data, using guidelines provided to meet our KPIs, and using in-house tools and software.• Report issues with tools and software as and when they occur.• Show Ownership and initiative when providing feedback for improvements to existing tooling that can increase the amount and quality of the data we process - we believe every ground-breaking change starts with a small idea!• Maintain strict confidentiality and follow all applicable Amazon policies for securing confidential information.What We Offer • Opportunity to work in a leading world-class organization, dedicated to making everyday life simpler for millions of people• Competitive salary• Benefits packageA day in the lifeWe are looking for a Data Associate (DA) to undertake the task of foundational labelling functions, such as dialogue evaluation on speech & text data, to assess and improve Alexa’s performance in everyday situations. To effectively change the world, you need to be a bit different - your adaptability, focus, and attention to detail in a constantly shifting environment are unparalleled; you pride yourself on your ability to recognise issues - and come up with elegant and innovative solutions. You will be a part of a diverse team with the shared vision to make huge strides in the world of technology and the way we use Artificial Intelligence. So, an inner drive, individuality, and a creative mind are extremely beneficial.About the teamThe Amazon Data Services organization provides data creation, curation, and analytics services to help develop, test, and train the Alexa AI. We work closely with Amazon Machine Learning (ML) Science and modelling teams, providing the critical data they need to improve Alexa’s speech recognition and language understanding capabilities.BASIC QUALIFICATIONS• Speak, write, and read fluently in Italian• Comfortable working with speech from various dialects and accents of one or more of the following regional languages: Italian• High-School or equivalent diploma • Speak, write, and read fluently in English • Knowledge of Microsoft Office products and applications ...

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities• Maintain and follow strict confidentiality as customer privacy is our biggest tenet• Work with a range of different types of data including but not limited to text, speech, image, and video in French• Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.• Serve as a subject matter expert for Machine Learning (ML) data workflows, demonstrating proficiency in researching, generating factually and grammatically accurate responses, ranking responses, creating grammatically correct text, and annotating images and videos• Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.• Eye for detail and ability to pivot from one category of requirement to another instantaneously.• Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team• Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.• Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations• Demonstrate ownership in floor support to clarify internal queries during execution on need basisA day in the lifeWe are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.About the teamThe team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.BASIC QUALIFICATIONS• Fluent proficiency in French language, including grammar and spelling (both written and spoken). • Comfortable working with speech from various dialects and accents of one or more of the following regional languages: French• Business proficiency (B1+) in English language. • High-School or equivalent diploma. • 2+ years of professional work experience with demonstrated task execution ability ...

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities• Maintain and follow strict confidentiality as customer privacy is our biggest tenet• Work with a range of different types of data including but not limited to text, speech, image, and video in German• Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.• Serve as a subject matter expert for Machine Learning (ML) data workflows, demonstrating proficiency in researching, generating factually and grammatically accurate responses, ranking responses, creating grammatically correct text, and annotating images and videos• Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.• Eye for detail and ability to pivot from one category of requirement to another instantaneously.• Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team• Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.• Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations• Demonstrate ownership in floor support to clarify internal queries during execution on need basisA day in the lifeWe are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.About the teamThe team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.BASIC QUALIFICATIONS• Fluent proficiency in German language, including grammar and spelling (both written and spoken). • Comfortable working with speech from various dialects and accents of one or more of the following regional languages: German • Business proficiency (B1+) in English language. • High-School or equivalent diploma. • 2+ years of professional work experience with demonstrated task execution ability ...

AI is the most transformational technology of our time, capable of tackling some of humanity’s most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us.We are looking for those candidates who just don’t think out of the box, but make the box they are in ‘Bigger’. The future is now, do you want to be a part of it? Then read on! Key job responsibilities• Maintain and follow strict confidentiality as customer privacy is our biggest tenet• Work with a range of different types of data including but not limited to text, speech, image, and video in Italian• Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly.• Serve as a subject matter expert for Machine Learning (ML) data workflows, demonstrating proficiency in researching, generating factually and grammatically accurate responses, ranking responses, creating grammatically correct text, and annotating images and videos• Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks.• Eye for detail and ability to pivot from one category of requirement to another instantaneously.• Demonstrate support for daily operational deliverables like AHT, quality, TAT for multiple task types assigned to you and the team• Analyze root causes, identify error patterns, and propose solutions to enhance the quality of labeling tasks and their outputs.• Responsible for identifying day-to-day process and operational issues in SOP, tools and suggest changes to unblock operations• Demonstrate ownership in floor support to clarify internal queries during execution on need basisA day in the lifeWe are looking for a ML Data Associate (MLDA) to undertake the task of foundational labeling functions, such as dialogue evaluation on speech, text, audio, video data.Your ability to concentrate, multi-task and your high attention to detail helps you deliver high-quality work as well as maintaining strict confidentiality and follow all applicable Amazon policies for securing confidential information. You will be a part of a diverse team with the shared vision of improving customers’ lives with practical, useful generative AI innovations. An inner drive, individuality, and a creative mind are extremely beneficial.About the teamThe team works strictly in the office Monday through Friday with an eight-hour shift. We are constantly looking for ways to improve our capabilities and deliver the best product possible. Diverse team, regular meetings, trainings, and Amazon events throughout the year await you.BASIC QUALIFICATIONS• Fluent proficiency in Italian language, including grammar and spelling (both written and spoken). • Comfortable working with speech from various dialects and accents of one or more of the following regional languages: Italian• Business proficiency (B1+) in English language. • High-School or equivalent diploma. • 2+ years of professional work experience with demonstrated task execution ability ...

Interested in working with the latest technology in the cloud computing space to impact millions of people? Interested in building technology to support 2,000,000 of your co-workers? We are building solutions to revolutionize the way we think about managing our workforce. We re-imagine technology to empower leaders of all levels to scale and grow their teams and support employees throughout their careers. Our team uniquely combines the highest standards of technology – architecture, scalability, reliability and performance with Amazon’s desire to be Earth’s Best Employer.Each day you come into work, you get to learn from some of the smartest people in the world, solve hard and interesting problems, and help move the needle at Amazon scale. Come join us and be a part of the Amazon story!Key job responsibilities- Lead your team to build new products with quality, robustness and Amazon sized scale as top priorities.- Prioritize being a really great people manager. Building, motivating, rewarding and coaching a diverse team of Software Development Engineers is the most important part of this role. You will recruit and retain top talent and excel in day-to-day people and performance management tasks.- Contribute to architecture and design discussions for full stack software.- Lead your team to evolve our service architecture with quality, robustness and Amazon sized scale as top priorities. You will regularly take part in deep-dive troubleshooting exercises and drive technical post-mortem discussions to identify the root cause of complex issues.- Set a vision for your team and create product roadmaps.- Help your team sort out technical and product requirements and priorities. Deliver product roadmap items and cross-team projects.- Delight your customers. Internalize our customer challenges and derive creative solutions which apply new and innovative technology.About the teamInclusive Team CultureOur team is diverse! We are intentional about attracting, developing, and retaining talent from diverse backgrounds. Team members are active in Amazon’s 10+ affinity groups, sometimes known as employee resource groups, which bring employees together across businesses and locations around the world. These range from groups such as the Black Employee Network, Latinos at Amazon, Indigenous at Amazon, Families at Amazon, LGBTQ+, Warriors at Amazon (Military), Amazon People With Disabilities, and more.Mentorship & Career GrowthOur team is dedicated to supporting new members. We have a mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring. We care about your career growth and strive to assign projects based on what will help each team member grow towards their career goals.BASIC QUALIFICATIONS- 3+ years of engineering team management experience- 7+ years of working directly within engineering teams experience- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience- 8+ years of leading the definition and development of multi tier web services experience- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations- Experience partnering with product or program management teams ...

The AGI Structured Information Retrieval team develops the services required to query the Amazon Knowledge Graph (AKG), an LLM-optimized, foundational component in the AGI tech stack, using Natural Language.As a MLE, you'll have the power to lead the charge in developing algorithms and modeling techniques to push the boundaries of model training and deployment at scale.Key job responsibilities* Ability to quickly learn cutting-edge technologies and algorithms in the field of ML to participate in our journey to build the best NL to Structured retrieval service.* Responsible for the development and maintenance of key platforms needed for developing, evaluating and deploying ML models for real-world applications.* Work with other team members to investigate design approaches, prototype new technology and evaluate technical feasibility.* Work closely with Applied scientists to develop and scale machine learning models.A day in the lifeYou will be working with a strong team of engineers and collaborating with applied scientists to develop novel processes for constructing and enhancing structured information retrieval systems; and enable high precision/recall & low latency access to knowledge in AKG.For this role we expect: - 3+ years of professional software development experience in distributed systems with emphasis on ML infrastructure- 3+ years of current programming experience building ML infrastructure using languages such as Python, C++ or Rust- Hands-on experience with parallel computing platforms such as CUDA, OpenMP, etc- Deep understanding of AI frameworks such as PyTorch, TensorFlow, and JAX, and their demands on underlying compute infrastructure, memory bandwidth, network interconnect, and storage as scale goes up- Knowledge of emerging AI hardware accelerators and architectures- Experience with containerization and orchestration technologies (Docker, Kubernetes)BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Software Developer - Amazon Web Services - Help us reinvent the Cloud!Amazon Elastic File System (EFS) is built in Boston, MA. It’s a fully managed service that makes it easy to set up and scale shared file storage in the AWS Cloud. Amazon EFS is designed for a wide variety of use cases: data analytics, video rendering, genomics analysis, web serving, content management, and home directories, to name a few. https://aws.amazon.com/efs/We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers; someone who will help us amplify the positive & inclusive team culture we’ve been building.Utility Computing (UC)AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.About AWSAmazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diverse ExperiencesAWS 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’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life BalanceWe 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’s nothing we can’t achieve in the cloud. Inclusive Team CultureHere at AWS, it’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. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.Mentorship & Career GrowthWe’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Key job responsibilitiesAs a Software Engineer in this office, you will design and build a service that allows customers to create cloud storage solutions that are secure, reliable, completely elastic, and can grow to petabyte-scale. Delivering a reliable and high-performance service at AWS scale requires engineers with extraordinary technical expertise and boundless creativity. At Amazon, engineers have the opportunity to interact with customers, to understand our business goals, and to innovate rapidly, delivering high-quality and ground-breaking functionality.BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

Sr. Software Developer - Amazon Web Services - Help us reinvent the Cloud!Amazon Elastic File System (EFS) https://aws.amazon.com/efs/ is a fully managed service that makes it easy to set up and scale shared file storage in the AWS Cloud. Amazon EFS is designed for a wide variety of use cases: data analytics, video rendering, genomics analysis, web serving, content management, and home directories, to name a few.As a Senior Software Engineer in this office, you will design and build a service that allows customers to create cloud storage solutions that are secure, reliable, completely elastic, and can grow to petabyte-scale. Delivering a reliable and high-performance service at AWS scale requires engineers with extraordinary technical expertise and boundless creativity. At Amazon, engineers have the opportunity to interact with customers, to understand our business goals, and to innovate rapidly, delivering high-quality and ground-breaking functionality.We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers; someone who will help us amplify the positive & inclusive team culture we’ve been building.Work/Life BalancePrior to WFH due to COVID-19, our entire team was co-located in our beautiful Boston office by the harbor. We’re flexible when people occasionally need to be remote. We generally keep core in-office hours from 10am to 4pm. About half of us prefer to start working early in the day and the other half prefer to start working later in the day.This position involves periodic on-call responsibilities. We don’t like getting paged, so we build our systems fault tolerant and root cause problems so we’re not paged for the same issue twice.Mentorship & Career GrowthWe are dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior engineers truly enjoy mentoring more junior engineers and engineers from non-traditional backgrounds through one-on-one mentoring and thorough, but kind, code reviews.Yes, we care about results, but we care about your career growth too! We try to assign projects and tasks based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.BASIC QUALIFICATIONS- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience as a mentor, tech lead or leading an engineering team ...

Software Developer - Amazon Web Services - Help us reinvent the Cloud!Amazon Elastic File System (EFS) is built in Boston, MA. It’s a fully managed service that makes it easy to set up and scale shared file storage in the AWS Cloud. Amazon EFS is designed for a wide variety of use cases: data analytics, video rendering, genomics analysis, web serving, content management, and home directories, to name a few. https://aws.amazon.com/efs/As a Software Engineer in this office, you will design and build a service that allows customers to create cloud storage solutions that are secure, reliable, completely elastic, and can grow to petabyte-scale. Delivering a reliable and high-performance service at AWS scale requires engineers with extraordinary technical expertise and boundless creativity. At Amazon, engineers have the opportunity to interact with customers, to understand our business goals, and to innovate rapidly, delivering high-quality and ground-breaking functionality.We’re looking for a new teammate who is enthusiastic, empathetic, curious, motivated, reliable, and able to work effectively with a diverse team of peers; someone who will help us amplify the positive & inclusive team culture we’ve been building.Work/Life BalancePrior to WFH due to COVID-19, our entire team was co-located in our beautiful Boston office by the harbor. We’re flexible when people occasionally need to be remote or run errands. We generally keep core in-office hours from 10am to 4pm. About half of us prefer to start working early in the day and the other half prefer to start working later in the day.Inclusive Team CultureHere at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.In compliance with the U.S. government requirement that employees of its contractors, and employees who work on or in connection with U.S government contracts must receive the COVID-19 vaccine, this position may require that the candidate selected be fully vaccinated against COVID-19. A person is considered fully vaccinated by completing the full regimen of the COVID-19 vaccine (two doses for Pfizer or Moderna and one dose for Johnson & Johnson).BASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...

We are seeking a detail-oriented Quality Auditor to join our team at AGI-DS. As a Quality Auditor, you will perform systematic quality assessments within our global network of Data Associates, providing manual review and validation of automated quality measurements. This role is critical in maintaining high standards in data quality for AI development and training.Key job responsibilitiesConduct quality audits on individual workflows and units delivered by Data AssociatesCoach and calibrate Data Associates co-located at your site to improve performanceProvide detailed insights on Data Associate-level quality and identify root causes of issuesPerform manual reviews to validate automated quality measurement systemsDocument and report quality findings accurately and efficientlyPerform audits to support deep dives and escalations as neededMaintain strict compliance with quality standards and proceduresWork closely with Quality Audit Managers to improve processes and implement best practicesContribute to continuous improvement initiatives within the quality assurance teamBASIC QUALIFICATIONSExperience in Machine Learning/Data Labeling operationsStrong analytical and problem-solving skillsExcellent attention to detailStrong communication skills in Business EnglishExperience with quality management tools and systemsAbility to work in strict compliance with internal guidelinesUnderstanding of data annotation and quality metricsProficiency in Excel and data analysis toolsAbility to work effectively in a team environmentAdaptability to changing priorities and workloads ...

Interested in working with the latest technology in the cloud computing space to impact millions of people? The Joining Amazon Technology team is building cutting edge solutions to revolutionize the way we onboard 2.8 million Amazon new workers a year in over 60 countries. We do not depend on third party monolithic HR systems. Our software products use Amazon Web Services to intelligently work through the complexity of country and role differences, and ensure new hires start successfully on Day 1 with delightful onboarding experiences. We enable all Amazon business' success to onboard new workers to meet dynamic business and market demands, e.g., over 100,000 new hires in the US and Canada in record speed during the COVID-19 pandemic, and country and region holiday and prime day retail lifecycle spikes. Our mission is clear: We seek to be the most technically proficient HR organization in the world. The Prestart Domain team is the core of the end to end Joining Amazon experience, responsible to handle 100% global hiring traffic from various recruiting sources. All subsequent onboarding and HR processes depend on the HR profiles and related data Prestart systems ingest into the HR system. It is core to the success of the Joining Amazon journey as well as employee journey. We are seeking experienced engineers with strong ownership. You will own and lead projects that impact new Amazonians around the globe. Amazon business’ success depends on your ability to innovate and enable Amazon workforce’s onboarding speed and success. If you’re thrilled by the idea of ownership, passionate about creating new features and services from scratch, and comfortable with the pace of shipping software in cycles measured in weeks, we would love to connect with you. · Exhibits excellent judgment· Has relentlessly high standards (is never satisfied with the status quo)· Is able to dive deep and is never out of touch with the details of the business or the technology· Expects and requires innovation of her/his team· Has passion and convictions and the innate ability to inspire passion in others· Strong results orientation· Thinks bigBASIC QUALIFICATIONS· Programming experience with at least one modern language such as Java, C++, or Python including object-oriented design· 1+ years of experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.· 3+ years of non-internship professional software development experiencePREFERRED QUALIFICATIONS· Experience with designing and building large-scale web services· Experience with service-oriented architecture· Experience with supporting mission-critical, 24x7 systems· Proven results and a history of project delivery· Experience working with Agile engineering practicesBASIC QUALIFICATIONS- 3+ years of non-internship professional software development experience- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience- Experience programming with at least one software programming language ...