Back to all jobs
A
Software Development Manager, Amazon Pharmacy, Amazon Phamarcy
Bengaluru, Karnataka, IND
full-timeSoftware DevelopmentJob Description
Join Amazon Pharmacy as the founding engineering leader for our Supply Chain technology team in Bangalore. You will build and lead a team of engineers responsible for the systems that determine what medications to buy, where to place inventory, and how to plan capacity across Amazon Pharmacy's fulfillment network. This is a greenfield opportunity to architect ML-driven supply chain systems from the ground up, leveraging Amazon's cloud-native infrastructure, proven supply chain optimization patterns, and operations research best practices at Amazon scale.
You will own the full supply chain stack for Amazon Pharmacy: demand forecasting, procurement optimization, inventory placement, resource planning, and Sales & Operations Planning (S&OP). Your systems will directly determine whether a patient's medication is in stock, at the right facility, at the right time. The stakes are high: pharmacy supply chains operate under regulatory constraints, drug expiry windows, and prescription-driven demand signals that make this one of the most technically interesting supply chain problems at Amazon.
We are building an AI-native engineering organization. You will operate with a flat structure, leading senior ICs directly, and leveraging AI-augmented development workflows (code generation, automated testing, ML-driven monitoring) to move fast with a lean team. If you are energized by building ML-intensive systems, leading from the front technically, and setting the culture for a high-autonomy engineering team, this is your role.
Key job responsibilities
A. Team Building & Leadership
• Recruit, hire, and develop a high-performing engineering team from the ground up
• Establish engineering culture, operating norms, and delivery cadence for a new team
• Lead with technical depth: participate in design reviews, unblock architectural decisions, and set the technical bar
• Operate with a flat organizational structure, providing direct leadership to senior ICs without middle-management layers
• Partner with Applied Science to integrate ML models into production systems at scale
B. Supply Chain Systems Ownership
• Own the technical roadmap for demand forecasting, procurement, placement, resource planning, and S&OP
• Design systems that optimize trade-offs among in-stock rates, cost-to-fill, holding cost, drug expiry, and fulfillment speed
• Build on Amazon's proven supply chain infrastructure and architectural patterns, customizing for Pharmacy's unique constraints: controlled substances, prescription-driven demand, state-by-state regulatory requirements, and drug shelf-life management
• Architect ML pipelines that compound in accuracy over time: learned demand models, intelligent procurement, and placement optimization
• Apply operations research techniques (linear programming, stochastic optimization, simulation, multi-objective optimization) to inventory and capacity planning problems
• Establish engineering best practices for supply chain systems: reproducible model training, backtesting frameworks, A/B experimentation for supply chain interventions, and rigorous offline-to-online evaluation
C. Operational Excellence & Delivery
• Deliver production systems that meet the reliability bar for healthcare: medication availability is not optional
• Establish monitoring, observability, and alerting for supply chain health metrics
• Drive operational reviews and use data to continuously improve system performance and business outcomes
• Coordinate with US-based product and science teams across time zones to align on priorities and deliverables
D. Innovation & AI-Native Development
• Pioneer AI-augmented development practices: code generation, automated testing, AI-assisted code review
• Drive adoption of ML and data-driven decision-making across all supply chain functions
• Evaluate and integrate Amazon's supply chain tooling and infrastructure where applicable, invent where Pharmacy requires differentiation
You will own the full supply chain stack for Amazon Pharmacy: demand forecasting, procurement optimization, inventory placement, resource planning, and Sales & Operations Planning (S&OP). Your systems will directly determine whether a patient's medication is in stock, at the right facility, at the right time. The stakes are high: pharmacy supply chains operate under regulatory constraints, drug expiry windows, and prescription-driven demand signals that make this one of the most technically interesting supply chain problems at Amazon.
We are building an AI-native engineering organization. You will operate with a flat structure, leading senior ICs directly, and leveraging AI-augmented development workflows (code generation, automated testing, ML-driven monitoring) to move fast with a lean team. If you are energized by building ML-intensive systems, leading from the front technically, and setting the culture for a high-autonomy engineering team, this is your role.
Key job responsibilities
A. Team Building & Leadership
• Recruit, hire, and develop a high-performing engineering team from the ground up
• Establish engineering culture, operating norms, and delivery cadence for a new team
• Lead with technical depth: participate in design reviews, unblock architectural decisions, and set the technical bar
• Operate with a flat organizational structure, providing direct leadership to senior ICs without middle-management layers
• Partner with Applied Science to integrate ML models into production systems at scale
B. Supply Chain Systems Ownership
• Own the technical roadmap for demand forecasting, procurement, placement, resource planning, and S&OP
• Design systems that optimize trade-offs among in-stock rates, cost-to-fill, holding cost, drug expiry, and fulfillment speed
• Build on Amazon's proven supply chain infrastructure and architectural patterns, customizing for Pharmacy's unique constraints: controlled substances, prescription-driven demand, state-by-state regulatory requirements, and drug shelf-life management
• Architect ML pipelines that compound in accuracy over time: learned demand models, intelligent procurement, and placement optimization
• Apply operations research techniques (linear programming, stochastic optimization, simulation, multi-objective optimization) to inventory and capacity planning problems
• Establish engineering best practices for supply chain systems: reproducible model training, backtesting frameworks, A/B experimentation for supply chain interventions, and rigorous offline-to-online evaluation
C. Operational Excellence & Delivery
• Deliver production systems that meet the reliability bar for healthcare: medication availability is not optional
• Establish monitoring, observability, and alerting for supply chain health metrics
• Drive operational reviews and use data to continuously improve system performance and business outcomes
• Coordinate with US-based product and science teams across time zones to align on priorities and deliverables
D. Innovation & AI-Native Development
• Pioneer AI-augmented development practices: code generation, automated testing, AI-assisted code review
• Drive adoption of ML and data-driven decision-making across all supply chain functions
• Evaluate and integrate Amazon's supply chain tooling and infrastructure where applicable, invent where Pharmacy requires differentiation