ASSPL
Operations, IT, Support Engineering, Ops Engineering, operations
ProcessEngineerII
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Process Engineer II at ASSPL. Skills: Process engineering, Continuous improvement, Operational efficiency. Analyze fulfillment workflows. Identify optimization opportunities”
What You'll Achieve.
Reduce cost-per-unit; Improve quality outcomes
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
Bachelor's degree, Experience with Six Sigma, Experience with lean manufacturing
Nice to Have
Knowledge of AutoCAD, Knowledge of VBA, Knowledge of SQL, Bachelor's degree in industrial or manufacturing engineering, Knowledge of automated material handling systems, Knowledge of packaging technologies, Knowledge of storage solutions
What You'll Do.
Analyze fulfillment workflows
Identify optimization opportunities
Utilize lean manufacturing principles
Utilize Six Sigma methodologies
Utilize value stream mapping
Utilize simulation-based capacity analysis
Drive operational excellence
Conduct time-motion studies
Conduct workflow analysis
Conduct line balancing
Conduct productivity modeling
Conduct process mapping
Identify throughput constraints
Identify inefficiencies
Develop standard operating procedures
Implement engineering standards
Ensure efficient operations
Support engineering execution
Support facility launches
Conduct feasibility studies
Develop capacity models
Contribute to site design
Develop material flow strategies
Support ERP implementation
Support WMS implementation
Validate system designs
Validate process designs
Integrate quality engineering principles
Strengthen process reliability
Conduct process audits
Conduct product quality audits
Drive continuous improvement
Drive risk identification
Implement engineering controls
Prevent recurrence of failures
Support Quality Management System establishment
Improve quality outcomes
Design factory layouts
Design scalable workstations
Prescribe engineering solutions
Guide improvement efforts
How You'll Work.
Team & Collaboration
Collaborate across functional teams; Collaborate across operational teams
Full Job Description
At Amazon, we're working to be the most customer-centric company on earth. If you would like to help us build the place to find and buy anything online, this is your chance to make history and be involved in growing our business by leading and supporting new building expansion and change. Tech – Supply Chain manages all IT infrastructure and end-user equipment deployed across Amazon's network globally. The team is responsible for providing end-to-end solutions that include lifecycle management, change control, capital/demand planning, material management, Return Merchandise Authorization (RMA), and liquidation. The Process Engineering team converts network strategies and operational standards into executable engineering solutions that power device fulfillment, value-added services, and reverse logistics across the RAD network. By optimizing layouts, engineering scalable workstations, and validating system interactions between tools, labour, and infrastructure, the team ensures RAD can expand fulfillment capacity while maintaining safety, operational efficiency, and service reliability. Key job responsibilities - Analyze and evaluate existing fulfillment workflows across device fulfillment, value-added services, and reverse logistics, identifying opportunities for optimization and cost-per-unit reduction. - Utilize lean manufacturing principles, Six Sigma methodologies, value stream mapping, and simulation-based capacity analysis to drive operational excellence and reduce costs. - Conduct time-motion studies, workflow analysis, line balancing, productivity modeling, and process mapping to identify throughput constraints and inefficiencies. - Develop and implement standard operating procedures (SOPs) and engineering standards to ensure consistent and efficient operations. - Support the engineering execution of RAD expansion and new facility launches, including feasibility studies, labour and capacity models, workflow design, and ergonomic validation. - Contribute to s
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