This job is with Amazon, an inclusive employer and a member of myGwork the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.
Description
Retail Business Services (RBS) supports Amazon's Retail business growth WW through three core tasks. These are (a) Selection, where RBS sources, creates and enrich ASINs to drive GMS growth; (b) Defect Elimination: where RBS resolves inbound supply chain defects and develops root cause fixes to improve free cash flow and (c) supports operational process for WW Retail teams where there is an air gap in the tech stack. The tech team in RBS develops automation that leverages Machine/Deep Learning to scale execution of these high complex tasks that currently require human cognitive skills. Our solutions ensure that information in Amazon's catalog is complete, correct and, comprehensive enough to give Amazon customers a great shopping experience every time. That's where you can help.
We believe in Work Hard. Have Fun. Make History value by having a strong focus on sharing learning experiences from the front line with the development teams. So, the options for people in the team are vast. If you like mastering a domain and going deep, we need you. If you can juggle three tasks and coordinate with multiple people in the heat of an incident, we need you. If you love the benefits of process and methodical improvement, you will love it here. If you want to keep your head down, headphones on, and bash out code to support the team, we have a spot for you too.
We challenge one another every day and hold ourselves accountable for our work product as well as our customer's overall success. We all enjoy the interactions with the customers, problem solving, digging into complex issues.
We wake up every morning asking ourselves how we can improve the customer's experience, the quality of our product, the quality of our support system, or our individual weaknesses. We are not scared of challenges, nor do we back down or get deterred by tough problems. When problems seem the hardest we are at our best, we work harder to find the root cause and a solution.
Work/Life Balance
RBS Tech team puts a high value on work-life harmony. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and we encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad 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, detailed and constructive code reviews. We have casual coffee chats with Principal & Senior Engineers from RBS tech where you could have technical conversations around your work, technical challenges, suggestions, ideas and proposals.
Key job responsibilities
You will be required to deeply understand technology landscapes, and evaluate the use of new technologies. You will be influential within your team and work with peers towards operational excellence across RBS.
We are looking for you to bring in a deep understanding of modern Cloud infrastructure, programming expertise, operational experience, and a desire to change the status quo. We'll support you with robust systems, mature processes, and a motivated team with a strong desire to improve customer experience. We're looking for an engineer who can build platforms and provide technical support to get us to an higher level of availability, scalability, and reliability.
The application engineer is expected to work on -
- Operational excellence tasks and activities
- Stability and reliability programs
- Incident management and oncall activities
- Root cause analysis
- Identifying opportunities to solve problems which will enable better customer experience
About The Team
RBS Machine Learning Platform Engineering team is responsible for creating and managing ML models closely working with data science teams to improve customer experience across Amazon marketplaces.
Basic Qualifications
- 4+ years of software development, or 4+ years of technical support experience
- Experience troubleshooting and debugging technical systems
- Experience in Unix
- Experience scripting in modern program languages
- Experience in agile/scrum or related collaborative workflow
- In depth understanding of AWS, python or any programming languages
- Hands-on experience with monitoring systems, dashboards (ELK, Job Schedulers, Batch Operations etc)
- Excellent communication skills, possessing the ability to support customers over email, phone or screen-shares
- Good understanding on database concepts (DynamoDB, RedShift, SQL)
Preferred Qualifications
- Knowledge of distributed applications/enterprise applications
- Knowledge of UNIX/Linux operating system
- Experience analyzing and troubleshooting RESTful web API calls
- Experience in development or technical support
- Experience with AWS, networks and operating systems
- Strong debugging/troubleshooting of Java based applications
- Strong understanding of support processes - SLA, handling tickets, monitoring, processes and metrics.
- Hands on experience in Cloud technology is plus.
- Hands on experience distributed applications/enterprise applications is plus.
