Software Development Engineer, SAS (Support Automation Systems)
Amazon.com
Software Development Engineer
The Amazon Robotics Support Automation Systems (SAS) Team is seeking a talented and innovative Software Development Engineer to join our pioneering team.
Are you interested in building products that span across Amazon's Global Customer Fulfillment network? Do you like the idea of leveraging state of the art Big Data and Front End Technologies to build solutions used in operations and in AI and ML efforts? Do you like the idea of seeing how your work impacts the bigger picture?
Answer yes to any of these and you’ll fit right in here in the Amazon Robotics SAS team. We are a team of collaborative builders that work passionately to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We focus on reducing complexity across the fulfillment network, driving new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.
We build tier-1 production applications and tools that Amazon operations uses to manage their robotic systems and associated labor forces to maximize productivity. Our applications and tools expose the dashboards and metrics needed by Amazon site operations management, and consume and analyze data from multiple sources to create data visualizations and recommended actions for operators. This drives fast and accurate decision-making, reduces human guesswork, and helps to standardize operating procedures network-wide.
Key job responsibilities
As an SDE on the SAS team, you will:
Create and collaborate in the design, implementation, and deployment of our production operations systems and services, across the full stack (front- and back-end).
Work and grow with talented teams delivering impactful projects.
Functionally decompose complex problems into simple, straight-forward solutions while understanding system interdependencies and limitations.
Share your knowledge of the most effective performance, scalability, architecture, and engineering patterns and methods.
A day in the life
A typical day for an SDE on the Amazon Robotics SAS team is diverse and challenging. You'll likely start with team updates and a stand-up meeting before diving into coding tasks, such as implementing new operations dashboards or troubleshooting issues with existing metrics. Collaboration and customer obsession are crucial, involving work with our operations customers, data platform engineers and product owners/managers to elicit and understand requriements, identify and wrangle the required data, and feed all of this into creating the desired application. You'll debug issues, participate in cross-functional meetings, and contribute to documentation and code reviews. The role balances focused individual work with team problem-solving.
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’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
The Support Automation Systems (SAS) team at Amazon Robotics builds production applications and tools that Amazon operations uses to manage their robotic systems and associated labor forces to maximize productivity. Our applications and tools consume and analyze data from multiple sources to create data visualizations and recommended actions for operators. This drives fast and accurate decision-making, reduces human guesswork, and helps to standardize operating procedures network-wide.
The Amazon Robotics Support Automation Systems (SAS) Team is seeking a talented and innovative Software Development Engineer to join our pioneering team.
Are you interested in building products that span across Amazon's Global Customer Fulfillment network? Do you like the idea of leveraging state of the art Big Data and Front End Technologies to build solutions used in operations and in AI and ML efforts? Do you like the idea of seeing how your work impacts the bigger picture?
Answer yes to any of these and you’ll fit right in here in the Amazon Robotics SAS team. We are a team of collaborative builders that work passionately to solve real-world challenges that will transform our customers’ experiences in ways we can’t even imagine yet. We focus on reducing complexity across the fulfillment network, driving new improvements every day. We are Amazon Robotics and we will give you the tools and support you need to invent with us in ways that are rewarding, fulfilling and fun.
We build tier-1 production applications and tools that Amazon operations uses to manage their robotic systems and associated labor forces to maximize productivity. Our applications and tools expose the dashboards and metrics needed by Amazon site operations management, and consume and analyze data from multiple sources to create data visualizations and recommended actions for operators. This drives fast and accurate decision-making, reduces human guesswork, and helps to standardize operating procedures network-wide.
Key job responsibilities
As an SDE on the SAS team, you will:
Create and collaborate in the design, implementation, and deployment of our production operations systems and services, across the full stack (front- and back-end).
Work and grow with talented teams delivering impactful projects.
Functionally decompose complex problems into simple, straight-forward solutions while understanding system interdependencies and limitations.
Share your knowledge of the most effective performance, scalability, architecture, and engineering patterns and methods.
A day in the life
A typical day for an SDE on the Amazon Robotics SAS team is diverse and challenging. You'll likely start with team updates and a stand-up meeting before diving into coding tasks, such as implementing new operations dashboards or troubleshooting issues with existing metrics. Collaboration and customer obsession are crucial, involving work with our operations customers, data platform engineers and product owners/managers to elicit and understand requriements, identify and wrangle the required data, and feed all of this into creating the desired application. You'll debug issues, participate in cross-functional meetings, and contribute to documentation and code reviews. The role balances focused individual work with team problem-solving.
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’re passionate about this role and want to make an impact on a global scale, please apply!
About the team
The Support Automation Systems (SAS) team at Amazon Robotics builds production applications and tools that Amazon operations uses to manage their robotic systems and associated labor forces to maximize productivity. Our applications and tools consume and analyze data from multiple sources to create data visualizations and recommended actions for operators. This drives fast and accurate decision-making, reduces human guesswork, and helps to standardize operating procedures network-wide.
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