ADCI

Software Development, selling partner services

SoftwareDevelopmentEngineer,FBADefectPrevention

₹22–35L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Software Development Engineer, FBA Defect Prevention at ADCI. Skills: Defect prevention, Supply chain, Gen AI. Identify defects. Prevent defects”

What You'll Achieve.

Save Amazon millions; Reduce Amazon's Cost to Serve; Ensure efficient seller inbound shipments

Industry & Context.

Software Development, selling partner services
Problems you'll solve

Root cause analysis; Troubleshooting; Data analysis

What They're Looking For.

Must Have

3+ years software development experience, 2+ years system design or architecture, Programming experience

Nice to Have

3+ years full SDLC experience, Bachelor's degree in computer science

What You'll Do.

Identify defects, Prevent defects, Detect defects, Root cause defects, Gather evidence, Prevent supply chain issues, Analyze patterns, Assess root causes, Evaluate image data, Craft messages

How You'll Work.

Team & Collaboration

Work across sellers; Work with fulfilment technology; Work with robotics; Work with carriers

Communication Scope

Communicate with sellers

Full Job Description

Join a new team and make a huge difference for Amazon, our sellers, and our supply chain. We are the team that deals with the exceptions to the exceptions in a complex process, saving Amazon and our sellers many millions of dollars. The FBA Defects Prevention team within Fulfillment By Amazon is responsible for identifying and preventing defects in the FBA Supply Chain. We work across sellers, fulfilment technology, robotics and carriers to detect, root cause, gather evidence and ultimately prevent issues in the supply chain. As you can imagine, Amazon's inbound supply chain are incredibly complex and highly scaled. While most people marvel at the efficiency with which the inbound processes handle most shipments, we are the team that deals with the exception - when things go wrong, we're the ones engaged to root cause and identify the problems. Examples of defects include sellers sending in the wrong item, failing to label or mislabeling packages, sending shipments to the wrong location, or failing to prep them. Detecting that these things have happened are hard - the signals coming from the network are often contradictory and misleading. We gather evidence, root cause, determine the ground truth, and then reach out to sellers to help them correct issues. We drive projects that save Amazon between tens and hundreds of millions of dollars through prevention and resolution of these issues, and are critical path to reducing Amazon's Cost to Serve as well as ensuring seller inbound shipments are efficiently received and available to customers. The Defect Prevention space is complex, highly scaled, and ripe for use of new technologies. We can use Gen AI to analyze patterns, assess root causes, evaluate image data, and ultimately craft the right message to communicate with sellers on what has gone wrong. In addition, this is a problem area that is well suited to someone who is interested in deep diving complex issues, and then crafting solutions that effectively influence

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