Top Tech Jobs & Startup Jobs

Supports warehouse customer account activities, including customer service, order processing, inbound and outbound documentation, inventory control, claims, reporting, and administrative functions. Assists with employee training, office systems, safety and sanitation compliance, accounts payable and receivable, and continuous improvement initiatives. Requires strong communication, accuracy, computer skills, and the ability to work effectively in a fast-paced warehouse environment.

Lead two engineering teams modernizing a large Java monolith into an API-first, event-driven microservices platform on Azure. Own architecture, technical quality, delivery outcomes, reliability, observability, hiring, team development, vendor accountability, and roadmap execution. Partner with Architecture, Platform, SRE, QA, Product, and business stakeholders while guiding technical decisions, code quality, production readiness, and modernization tradeoffs.

Supervises industrial engineering operations for warehouse and distribution processes. Develops engineered labor standards, conducts work measurement and observation studies, maintains labor-management data integrity, and supports continuous improvement. Leads process changes, training, facility-layout recommendations, quality investigations, productivity metrics, incentive audits, budgeting, ROI analysis, and organizational project initiatives. The role also manages indirect labor time and presents operational improvement solutions to leadership.

Develop and deploy statistical, machine learning, forecasting, and optimization models for logistics and warehouse operations. Analyze large datasets from warehouse, transportation, ERP, and operational systems using Python and SQL. Build production-grade analytical solutions, validate and monitor model performance, and communicate insights to technical and non-technical stakeholders. Apply data science to routing, network and warehouse optimization, demand forecasting, anomaly detection, capacity planning, and segmentation.

Rotational entry-level program providing training across warehouse operations, logistics operations, analytics, and logistics systems. Responsibilities include inventory, shipping and receiving, dispatching, customer and carrier relations, discrepancy resolution, claims, financial closing support, KPI reporting, Tableau dashboard development, rate and profitability analysis, carrier procurement, system testing, SOP documentation, and project management support.

Own, maintain, and optimize Oracle, PostgreSQL, and MongoDB databases across Azure and OCI. Build CI/CD and IaC for schema deployments, ensure HA/DR, implement observability, support production incidents and on-call rotations, and partner with DevOps and engineering to meet performance and cost targets.

Designs, develops, and supports enterprise B2B integrations using EDI, APIs, file transfers, and event-driven architecture. Establishes integration standards, governance, reusable frameworks, and security practices across customer, vendor, warehouse, transportation, ERP, and cloud systems. Troubleshoots production issues, documents architectures and mappings, supports customer onboarding and deployments, and provides technical leadership to integration teams. The role also evaluates technologies, improves automation and operational visibility, and participates in on-call support.

The Project Manager oversees high-visibility projects, ensuring timely delivery and budget adherence while optimizing cross-functional initiatives and operational workflows.

Design, build, test, and maintain batch and streaming data pipelines; ingest data from varied sources; write SQL and Python transformations; monitor data quality and observability; support analytics, reporting, and data science; participate in code reviews, troubleshooting, and production support; collaborate with stakeholders to deliver scalable data solutions.

Develop, test, and maintain cloud-native features and data pipelines for the SmartMove transportation platform. Build ETL and integration solutions using Python, Snowflake, Azure services, and PostgreSQL. Collaborate with stakeholders, participate in code reviews and Agile ceremonies, troubleshoot production issues, and contribute to architecture and engineering best practices.