FREE ACCESS
5,000–10,000 jobs/day
See all jobs on Scoutfield
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading engineering strategy and execution for scalable, cloud-based platforms, with a strong focus on machine learning, forecasting, and optimization capabilities. Proven ability to modernize technology ecosystems while ensuring operational excellence and cross-organizational collaboration.
Highest-signal resume keywords
Cloud-Based Platform DesignMachine Learning OperationalizationSRE/DevOps PracticesArchitecture Strategy DevelopmentCross-Organizational Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringData ProcessingDistributed SystemsAPIs/ContractsAutomated TestingCI/CDIncident ManagementCapacity PlanningTime-Series ForecastingOptimization Algorithms
Soft Skills
LeadershipCoachingCommunicationInnovationContinuous Improvement
Certifications & Qualifications
Bachelor's Degree in Computer ScienceBachelor's Degree in Computer EngineeringBachelor's Degree in Computer Information SystemsBachelor's Degree in Software Engineering
Industry Keywords
ReplenishmentDemand ForecastingInventory PlanningDistribution-Center OperationsSupply-Chain Efficiency
Tech Stack
Tools & technologiesCloudDistributed Systems
About the role
Key responsibilities & impact- Lead engineering strategy and execution for the IO2, O3, GeoDemand, Placements, and SMART Forecasting portfolio
- Define and drive technical vision, architecture, and modernization strategy for scalable, business-critical platforms
- Build an integrated replenishment ecosystem connecting forecasting, geographic demand, placement, and flow capabilities
- Partner with Product, Data Science, Supply Chain Operations, Architecture, and market teams on scalable technology solutions
- Lead engineering of data-, machine learning-, forecasting-, and optimization-driven capabilities for inventory decisions
- Drive engineering excellence and operational health, including reliability, scalability, observability, security, automation, performance, and production readiness
- Establish technical standards and architecture guardrails
- Manage cross-platform and cross-organizational dependencies and align teams around shared outcomes
- Lead technology modernization and simplification while reducing technical debt
- Own execution against the portfolio roadmap and improve delivery predictability, quality, and accountability
- Lead through engineering managers and senior technical leaders
- Recruit, develop, coach, and retain engineering talent
- Foster innovation, continuous improvement, experimentation, and responsible adoption of AI and emerging technologies
- Communicate technology strategy, investment needs, risks, trade-offs, and outcomes to senior leaders
- Connect technology investments to product availability, inventory productivity, flow stability, and supply-chain efficiency
Requirements
What you’ll need- Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 6 years’ experience in software engineering or related area; OR 8 years’ experience in software engineering or related area
- 3 years' supervisory experience
- Strong technical background designing and operating highly scalable, resilient, cloud-based platforms and distributed systems
- Deep understanding of large-scale data processing, streaming/batch architectures, data quality, and engineering patterns for operational decisions
- Experience engineering production platforms that operationalize machine learning, forecasting, and optimization models
- Ability to establish architecture strategy, APIs/contracts, platform standards, observability, reliability, scalability, security, and engineering guardrails
- Proven ability to modernize complex technology ecosystems while operating business-critical capabilities and reducing legacy dependencies
- Ability to architect across multiple interconnected products
- Strong command of SRE/DevOps practices, availability, performance, automated testing, CI/CD, telemetry, incident management, capacity planning, and production readiness
- Knowledge of replenishment, demand forecasting, inventory planning, allocation/placement, distribution-center operations, transportation, and store fulfillment
- Familiarity with time-series forecasting, demand sensing, optimization algorithms, simulation, and operations research
- Experience managing large dependency landscapes across data, infrastructure, security, product, and platform teams
- Experience applying generative AI/LLMs to engineering productivity, decision support, or supply-chain use cases
Benefits
Comp & perks- Incentive awards for performance
- Maternity and parental leave
- Paid time off (PTO)
- Health benefits
- Flexible work arrangements to manage personal lives