Description

Key Skills: Software Engineering, Machine Learning, Distributed Systems, Operations Research, Supply Chain Optimization, Data Pipelines, ML Model Integration, System Design, Scalable Services, Production Operations

Good to Have Skills: Experience with Amazon Web Services, AI-augmented development workflows, code generation tools, automated testing frameworks, pharmacy or healthcare domain knowledge, regulatory compliance systems, controlled substances handling, demand forecasting models, procurement optimization, inventory placement algorithms, capacity planning systems, operations research techniques including optimization solvers and simulation engines, probabilistic modeling, safety stock calculations, backtesting methodologies, experiment design for supply chain metrics, observability and monitoring tools, circuit breakers and graceful degradation patterns.

Roles & Responsibilities:

• Design and build scalable, resilient services for supply chain optimization including forecasting, procurement, placement, and planning systems.
• Develop ML-integrated systems that improve over time with learned demand models, intelligent reorder logic, and placement optimization.
• Write high-quality, well-tested code and participate actively in code reviews to maintain engineering standards.
• Implement operations research techniques in production including optimization solvers, simulation engines, and probabilistic demand models.
• Build data pipelines that process large-scale pharmacy supply chain signals such as prescription fills and inventory positions.
• Own systems end-to-end including design, development, testing, deployment, monitoring, and oncall responsibilities.
• Build robust observability with metrics, alarms, and dashboards that surface supply chain health in real time.
• Participate in oncall rotations and drive root-cause analysis for production issues to ensure system reliability.
• Partner with Applied Scientists to productionize ML models and experimentation frameworks for continuous improvement.
• Work with product managers to translate business problems into technical designs and implementation strategies.
• Collaborate across time zones with US-based teams on priorities, design reviews, and operational handoffs.
• Leverage AI tools to accelerate development velocity and improve code quality in daily workflows.
• Identify opportunities for automation and ML within the supply chain domain to drive operational efficiency.
• Stay current with advances in supply chain ML, optimization, and distributed systems technologies

Key Skills

Education

Any Graduate