Amazon Dev Center India

Operations, IT, Support Engineering, selling partner services

SupportEngineerII-Ext

₹18–28L ~AI est. Hyderabad, Telangana, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Support Engineer II-Ext at Amazon Dev Center India. Skills: Workflow engineering, Risk operations, Tooling configuration. Own design, configuration, and optimization of workflows. Translate risk policies and SOPs”

What You'll Achieve.

Improve investigator efficiency; Reduce handling time; Increase decision consistency; Reduce seller-impacting incidents

Industry & Context.

Operations, IT, Support Engineering, selling partner services
Problems you'll solve

Root cause analysis; Troubleshooting

What They're Looking For.

Must Have

Bachelor's degree, 3+ years of workflow experience, Analytical skills, Attention to detail, Effective communication abilities, Experience in software development, Experience in managing and troubleshooting network, Experience in developing functional specifications, Design verification plans, Functional test procedures

Nice to Have

5+ years of systems design, Software development experience, Operations experience, Automation experience, Process improvement experience, Experience working with large-scale data mining and reporting tools, Experience in building financial and operational reports/data sets, Experience in one or more scripting languages, Lean methodologies, Six sigma methodologies

What You'll Do.

and optimization of workflows

Translate risk policies and SOPs

Decompose investigation processes

Separate automated steps from human-judgment

Develop API-driven tool enhancements

Improve investigator efficiency

Increase decision consistency

Build configurable workflow components

Enable partner teams to onboard

Define integration patterns

Define configuration standards

Define self-service documentation

Conduct root cause analysis

Identify and implement corrective actions

Define operational metrics

Instrument operational metrics

Monitor operational metrics

Measure workflow effectiveness

Measure automation coverage

Measure defect reduction

Measure escalation resolution performance

Drive continuous improvement

Analyze workflow performance data

Identify automation opportunities

Lead iteration cycles on tooling configurations

Collaborate cross-functionally

Align workflow design with organizational priorities

Align workflow design with risk mitigation objectives

Influence roadmap prioritization

Quantify operational impact

Present data-backed recommendations

How You'll Work.

Team & Collaboration

Cross-functionally with engineering; Cross-functionally with product; Cross-functionally with risk science; Cross-functionally with operations; Cross-functionally with policy teams

Process & Methodology

Roadmap prioritization

Full Job Description

Millions of Selling Partners trust Amazon's marketplace to grow their businesses, and hundreds of millions of customers depend on us every day. Behind that trust is a network of systems, tools, and workflows designed to detect and resolve fraud and abuse at scale — and our team builds them. About the Role: We are looking for a Sr. Process Engineer who thrives at the intersection of workflow engineering, risk operations, and tooling configuration in dynamic, variable environments. In this role, you will decompose complex and evolving investigation processes into streamlined, automated pathways — ensuring that every step that doesn't require human input is handled systematically, and every step that does is presented with precision and clarity. You will design workflows that flex with changing risk landscapes rather than break under them. You will build tools that make expert investigators more effective by surfacing the right context at the right time so they can apply their judgment faster and more consistently, even when the case type is novel or the abuse pattern is emerging. You will own the end-to-end workflow lifecycle from requirements gathering through deployment, measurement, and iteration. This role offers the opportunity to shape how Amazon protects seller and customer trust through innovative workflow engineering, intelligent automation, and adaptive risk operations. Key job responsibilities - Own the design, configuration, and optimization of end-to-end investigation and intake workflows across centralized tooling infrastructure, translating risk policies and SOPs into scalable, adaptable solutions that perform in variable operational environments - Decompose complex and evolving investigation processes into micro-task architectures that cleanly separate automated steps from human-judgment decision points, accounting for shifting risk signals and non-standard case types - Develop API-driven tool enhancements that improve investigator efficiency, reduce h

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