ADCI
Healthcare
SoftwareDevelopmentManager,AmazonPharmacy
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optimal for Manager candidates.
“Software Development Manager, Amazon Pharmacy at ADCI. Skills: Supply chain systems, Machine learning, AI-native engineering. Recruit, hire, and develop engineering team. Establish engineering culture, operating norms, and delivery cadence”
Industry & Context.
Data-driven decision making
What They're Looking For.
Must Have
3+ years engineering team management, 7+ years engineering experience, 8+ years leading definition and development of multi tier web services, Knowledge of engineering practices and patterns for full software/hardware/networks development life cycle, Experience partnering with product or program management teams, Experience designing or architecting new and existing systems, Experience working across science domains including machine learning and operations research
Nice to Have
5+ years practical work applying ML to solve complex problems for large-scale applications, Experience communicating with users, other technical teams, and senior leadership, Experience in recruiting, hiring, mentoring/coaching and managing teams of Software Engineers, Experience in setting the culture for a high-autonomy engineering team
What You'll Do.
and develop engineering team
Establish engineering culture
Lead with technical depth
Participate in design reviews
Unblock architectural decisions
Set the technical bar
Operate with flat organizational structure
Provide direct leadership to senior ICs
Partner with Applied Science to integrate ML models
Own technical roadmap for supply chain systems
Design systems that optimize trade-offs
Build on Amazon's supply chain infrastructure
Customize for Pharmacy constraints
Architect ML pipelines
Apply operations research techniques
Establish engineering best practices for supply chain systems
Deliver production systems
Drive operational reviews
Use data to improve system performance
Coordinate with US-based teams
Pioneer AI-augmented development practices
Drive adoption of ML and data-driven decision-making
Evaluate and integrate Amazon's supply chain tooling
Invent where Pharmacy requires differentiation
How You'll Work.
Team & Collaboration
Partner with Applied Science; Coordinate with product and science teams
Communication Scope
Technical designs; Product strategy
Process & Methodology
Roadmap planning
Full Job 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 lay
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