- 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 Interested to build the next generation Financial Systems that can handle billions of dollars in transactions? Interested to build highly scalable next generation systems that could utilize Amazon Cloud? Massive data volume + complex business rules in a highly distributed and service oriented architecture = a world class information collection and delivery challenge. Our challenge is to deliver the software systems which accurately capture, process, and report on the huge volume of financial transactions that are generated each day as millions of customers make purchases, as thousands of Vendors and Partners are paid, as inventory moves in and out of warehouses, as commissions are calculated, and as taxes are collected in hundreds of jurisdictions worldwide. The ideal candidate will draw upon exemplary analytical, critical thinking and problem solving skills, deep software development experience, and a passion for creating maintainable, highly reliable and scalable user facing applications that are accessed by thousands of external Vendors and internal Customers. Successful members of this team collaborate effectively with internal customers, other dependent development teams in Amazon to develop new applications successfully against high operational standards of system availability and reliability. In the space of workflow management tools, engineers in this team solve problems for the first time and have got opportunity to convert them to generic/re-usable components for use in broader engineering community. We look for engineers who are excellent communicators, self-motivated, flexible, hardworking, and who like to have fun. This candidate also plays active role in reviewing the technical designs from the team and in mentoring of other developers in the team. You will have the opportunity to play a key role in building new software products and features from the ground up. Your work will allow you to utilize a melting pot of technologies, programming languages, and systems and require you to keep up with the ever-changing technological landscape. Your responsibilities will include all aspects of software development, with the freedom and encouragement to explore your own ideas and the reward of seeing your contributions benefit Amazon worldwide. Finance Automation team is looking for a talented software development engineer who can tackle large complex projects Key job responsibilities · Working collaboratively, shape the vision and strategy for solving business problems spread across retail and other cross systems outside of retail · Develop an architecture, thinking long term about futuristic needs. · Mentor, grow, and share the journey to deliver with quality. · Deep dive, develop and deliver systems that are highly maintainable. Technical leader for the team with the ability to deliver against all odds. · Data driven approach for making right architecture decisions, managing business priorities 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience Bachelor's degree in computer science or equivalent 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’re applying in isn’t listed, please contact your Recruiting Partner.
DESCRIPTION Program Manager to lead one of the verticals within the GO-AI Operations Support Center (OSC). This role oversees a team of 300+ OSC experts, driving excellence in Standard Operating Procedures (SOPs), audit frameworks, and annotation quality to support AI/ML models. Key job responsibilities Strategic Leadership Lead program and change management initiatives for OSC operations Develop and implement strategies to enhance SOP management, training, and audit processes Drive SLA metrics for accuracy, program onboarding, and customer experience Program Management Evaluate and prioritize new annotation program requests based on risk analysis Design and implement robust sampling methodologies for various audit types Monitor OSC program health through KPI tracking and improvement initiatives Generate insights for process automation and Gen-AI implementation Stakeholder Management Partner with internal/external stakeholders on SOPs, audits, and training processes Present findings and recommendations to senior leadership Manage executive customer relationships and key business stakeholders Team Leadership Lead and develop a high-performing team of 300+ professionals Drive continuous improvement and innovation in OSC processes Implement training initiatives for team upskilling About the team The GO-AI team provides augmented learning in the Machine Learning pipeline for Amazon Robotic Fulfillment Centers globally. We deliver Near Real Time-Human in the Loop (NRT-HITL) solutions requiring high cognitive ability through annotation workforce management and specialized central teams, supporting programs like Nike, CPEX, ADAR, and other Fulfillment Technology initiatives. BASIC QUALIFICATIONS MBA PMP certificate 7+ years of team management experience 7+ years of program or project management experience Experience defining program requirements and using data and metrics to determine improvements 10 + Experience in annotations, training, audits, or operations PREFERRED QUALIFICATIONS Amazon Fulfillment Center Experience 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’re applying in isn’t listed, please contact your Recruiting Partner.
DESCRIPTION Program Manager to lead one of the verticals within the GO-AI Operations Support Center (OSC). This role oversees a team of 300+ OSC experts, driving excellence in Standard Operating Procedures (SOPs), audit frameworks, and annotation quality to support AI/ML models. Key job responsibilities Strategic Leadership Lead program and change management initiatives for OSC operations Develop and implement strategies to enhance SOP management, training, and audit processes Drive SLA metrics for accuracy, program onboarding, and customer experience Program Management Evaluate and prioritize new annotation program requests based on risk analysis Design and implement robust sampling methodologies for various audit types Monitor OSC program health through KPI tracking and improvement initiatives Generate insights for process automation and Gen-AI implementation Stakeholder Management Partner with internal/external stakeholders on SOPs, audits, and training processes Present findings and recommendations to senior leadership Manage executive customer relationships and key business stakeholders Team Leadership Lead and develop a high-performing team of 300+ professionals Drive continuous improvement and innovation in OSC processes Implement training initiatives for team upskilling About the team The GO-AI team provides augmented learning in the Machine Learning pipeline for Amazon Robotic Fulfillment Centers globally. We deliver Near Real Time-Human in the Loop (NRT-HITL) solutions requiring high cognitive ability through annotation workforce management and specialized central teams, supporting programs like Nike, CPEX, ADAR, and other Fulfillment Technology initiatives. BASIC QUALIFICATIONS MBA PMP certificate 7+ years of team management experience 7+ years of program or project management experience Experience defining program requirements and using data and metrics to determine improvements 10 + Experience in annotations, training, audits, or operations PREFERRED QUALIFICATIONS Amazon Fulfillment Center Experience 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’re applying in isn’t listed, please contact your Recruiting Partner.
DESCRIPTION Program Manager to lead one of the verticals within the GO-AI Operations Support Center (OSC). This role oversees a team of 300+ OSC experts, driving excellence in Standard Operating Procedures (SOPs), audit frameworks, and annotation quality to support AI/ML models. Key job responsibilities Strategic Leadership Lead program and change management initiatives for OSC operations Develop and implement strategies to enhance SOP management, training, and audit processes Drive SLA metrics for accuracy, program onboarding, and customer experience Program Management Evaluate and prioritize new annotation program requests based on risk analysis Design and implement robust sampling methodologies for various audit types Monitor OSC program health through KPI tracking and improvement initiatives Generate insights for process automation and Gen-AI implementation Stakeholder Management Partner with internal/external stakeholders on SOPs, audits, and training processes Present findings and recommendations to senior leadership Manage executive customer relationships and key business stakeholders Team Leadership Lead and develop a high-performing team of 300+ professionals Drive continuous improvement and innovation in OSC processes Implement training initiatives for team upskilling About the team The GO-AI team provides augmented learning in the Machine Learning pipeline for Amazon Robotic Fulfillment Centers globally. We deliver Near Real Time-Human in the Loop (NRT-HITL) solutions requiring high cognitive ability through annotation workforce management and specialized central teams, supporting programs like Nike, CPEX, ADAR, and other Fulfillment Technology initiatives. BASIC QUALIFICATIONS MBA PMP certificate 7+ years of team management experience 7+ years of program or project management experience Experience defining program requirements and using data and metrics to determine improvements 10 + Experience in annotations, training, audits, or operations PREFERRED QUALIFICATIONS Amazon Fulfillment Center Experience 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’re applying in isn’t listed, please contact your Recruiting Partner.
DESCRIPTION This is a 12 Month Contract opportunity. As a data engineer are you looking for opportunity to be among software developers, machine learning scientists to build a data platform that not only caters to BI and reporting but also extends to machine learning applications? As a data engineer in AEE, you will: - Design, implement and support an analytical data infrastructure serving both business intelligence and machine learning applications. This is a 12 Month Contract opportunity. Managing AWS resources including EC2,Redshift,EMR-Spark etc Collaborate with Product Managers, Financial and Business analysts to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and AWS big data technologies Explore and learn the latest AWS technologies to provide new capabilities and increase efficiency Collaborate with other tech teams to implement advanced analytics algorithms that exploit our rich datasets for statistical analysis, prediction, clustering and machine learning Help continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers BASIC QUALIFICATIONS 1+ years of data engineering experience Experience with SQL Experience with data modeling, warehousing and building ETL pipelines Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala) Experience with one or more scripting language (e.g., Python, KornShell) PREFERRED QUALIFICATIONS Experience with big data technologies such as: Hadoop, Hive, Spark, EMR Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc. 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’re applying in isn’t listed, please contact your Recruiting Partner.
DESCRIPTION Role: Virtual Customer Service Associate Job Type: Contractual Location: Work from home in Uttar Pradesh Our mission at Amazon is to be Earth’s most customer-centric company, and our award-winning Customer Service team is a key part of achieving that goal. Doing our best for our customers is where we get our energy, and that’s why you’ll find we approach things differently here. You won’t be asked to read from a script or learn dialogue by heart. Instead we’ll provide you with the training you need to problem solve for our customers. You’ll bring your unique personality to every customer conversation and deliver the exceptional support experience our customers love. What will you do as a Customer Service Associate? As an Amazon Customer Service Associate, you have a very clear purpose: to prevent issues, solve queries, and delight our customers. You’ll be the first point of contact for our customers by answering their requests through phone, chat and/or email – this includes everything from order and product questions to payment matters and website guidance. Our Customer Service Associates use a variety of tools to navigate, research, and review solutions, and communicate effectively with customers What strengths will you bring? Hard-working, articulate, and detail-oriented Friendly and customer-focused in every situation Ability to learn quickly and embrace change Comfortable multi-tasking in a high-energy environment. What benefits will you receive? One of the great things about joining Amazon’s Customer Service team is that you don’t need past experience in customer service. You’ll receive training and be provided with a complete equipment package when you join. Additionally, we offer a number of benefits, including: Medical insurance Pension plan Internet allowance Lifestyle benefits and retail discounts through our Amazon Extras program Expert training and ongoing opportunities to learn more and develop your skills If this role sounds like it’s for you, then click on the link below to start the application process! You’ll need to allow 3 hours to complete the full application, including assessments which will evaluate your suitability for the role. You will have the option to save your application during the process and return to it if necessary. We recommend using a laptop/desktop computer in order to get the best experience. If successful, we will contact you about next steps! Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. BASIC QUALIFICATIONS What qualifications do we need from you? Minimum age: 18 years old Have the right to work in India Strong communication skills in English (both written and oral fluency) The availability to work varying shifts from Monday to Sunday within the operating hours Willingness and ability to work in rotating shifts (i.e. early, late, overnight, weekend, and overtime as required) You'll need a quiet, distraction free work space (dedicated office space with a desk and chair) From a technical perspective, a minimum broadband connection of 100MB download speed and 20MP upload speed using a hard-wire ethernet internet connection (no WIFI). hereby consent to the recording of your video and audio during interview stages and during the term of your employment at Amazon (as applicable) for the purposes of proctoring the assessment and validating your identity. You further agree that Amazon, Amazon's authorized personnel or third parties authorized by Amazon may capture and store a screenshot of your face which will be used for the purpose of Amazon's internal records purpose and continued identity verification. Further, you may also be required to show a government issued ID (except Aadhaar card) having your photo to Amazon, Amazon's authorized personnel or third parties authorized by Amazon during your interview stages and on your first day of joining Amazon as an employee. You consent that a screenshot of the government ID may be captured by Amazon or Amazon's authorized personnel, or third parties authorized by Amazon for Amazon's internal records purpose and validation of your identity.
DESCRIPTION Role: Virtual Customer Service Associate & Work from Office Job Type: Contractual Location: Work from home and office in Uttar Pradesh / Punjab / Chandigarh / Delhi Our mission at Amazon is to be Earth’s most customer-centric company, and our award-winning Customer Service team is a key part of achieving that goal. Doing our best for our customers is where we get our energy, and that’s why you’ll find we approach things differently here. You won’t be asked to read from a script or learn dialogue by heart. Instead we’ll provide you with the training you need to problem solve for our customers. You’ll bring your unique personality to every customer conversation and deliver the exceptional support experience our customers love. What will you do as a Customer Service Associate? As an Amazon Customer Service Associate, you have a very clear purpose: to prevent issues, solve queries, and delight our customers. You’ll be the first point of contact for our customers by answering their requests through phone, chat and/or email – this includes everything from order and product questions to payment matters and website guidance. Our Customer Service Associates use a variety of tools to navigate, research, and review solutions, and communicate effectively with customers What strengths will you bring? Hard-working, articulate, and detail-oriented Friendly and customer-focused in every situation Ability to learn quickly and embrace change Comfortable multi-tasking in a high-energy environment. What benefits will you receive? One of the great things about joining Amazon’s Customer Service team is that you don’t need past experience in customer service. You’ll receive training and be provided with a complete equipment package when you join. Additionally, we offer a number of benefits, including: Medical insurance Pension plan Internet allowance Lifestyle benefits and retail discounts through our Amazon Extras program Expert training and ongoing opportunities to learn more and develop your skills If this role sounds like it’s for you, then click on the link below to start the application process! You’ll need to allow 3 hours to complete the full application, including assessments which will evaluate your suitability for the role. You will have the option to save your application during the process and return to it if necessary. We recommend using a laptop/desktop computer in order to get the best experience. If successful, we will contact you about next steps! Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice to know more about how we collect, use and transfer the personal data of our candidates. BASIC QUALIFICATIONS What qualifications do we need from you? Minimum age: 18 years old Have the right to work in India Strong communication skills in English (both written and oral fluency) The availability to work varying shifts from Monday to Sunday within the operating hours Willingness and ability to work in rotating shifts (i.e. early, late, overnight, weekend, and overtime as required) You'll need a quiet, distraction free work space (dedicated office space with a desk and chair) From a technical perspective, a minimum broadband connection of 100MB download speed and 20MP upload speed using a hard-wire ethernet internet connection (no WIFI). hereby consent to the recording of your video and audio during interview stages and during the term of your employment at Amazon (as applicable) for the purposes of proctoring the assessment and validating your identity. You further agree that Amazon, Amazon's authorized personnel or third parties authorized by Amazon may capture and store a screenshot of your face which will be used for the purpose of Amazon's internal records purpose and continued identity verification. Further, you may also be required to show a government issued ID (except Aadhaar card) having your photo to Amazon, Amazon's authorized personnel or third parties authorized by Amazon during your interview stages and on your first day of joining Amazon as an employee. You consent that a screenshot of the government ID may be captured by Amazon or Amazon's authorized personnel, or third parties authorized by Amazon for Amazon's internal records purpose and validation of your identity.