Amazon Dev Center India
Operations, IT, Support Engineering, selling partner services
SupportEngineerII-Ext
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“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.
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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