Software Development Manager, Amazon Pharmacy, Amazon Phamarcy

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 Pharmacys fulfillment network. This is a greenfield opportunity to architect ML-driven supply chain systems from the ground up leveraging Amazons 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 patients 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 Amazons proven supply chain infrastructure and architectural patterns customizing for Pharmacys 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 Amazons supply chain tooling and infrastructure where applicable invent where Pharmacy requires differentiation


- 3 years of engineering team management experience
- 7 years of engineering experience
- 8 years of leading the definition and development of multi tier web services experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle including coding standards code reviews source control management build processes testing certification and livesite operations
- Experience partnering with product or program management teams
- Experience designing or architecting (design patterns reliability and scaling) of new and existing systems
- Experience working across science domains including machine learning and operations research

- Experience in communicating with users other technical teams and senior leadership to collect requirements describe software product features technical designs and product strategy
- Experience in recruiting hiring mentoring/coaching and managing teams of Software Engineers to improve their skills and make them more effective product software engineers
- 5 years of practical work applying ML to solve complex problems for large-scale applications experience

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