Amazon Pharmacy

Healthcare

Sr.SoftwareDevelopmentManager

₹45–75L ~AI est. Bengaluru, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Sr. Software Development Manager at Amazon Pharmacy. Skills: Supply chain systems, ML-driven systems, Engineering leadership. Recruit, hire, develop engineering team. Establish engineering culture”

What You'll Achieve.

Ensure medication availability; Continuously improve system performance; Continuously improve business outcomes

Industry & Context.

Healthcare
Problems you'll solve

Optimize trade-offs; Solve complex supply chain problems

What They're Looking For.

Must Have

10+ years of engineering experience, 5+ years of engineering team management, 10+ years planning, designing, developing, delivering consumer software, Experience partnering with product or program management, Experience managing multiple concurrent programs, projects, development teams, Agile environment experience

Nice to Have

Experience designing and developing large scale, high-traffic applications

What You'll Do.

develop engineering team

Establish engineering culture

Establish operating norms

Establish delivery cadence

Lead with technical depth

Participate in design reviews

Unblock architectural decisions

Provide direct leadership to senior ICs

Partner with Applied Science

Integrate ML models into production

Own technical roadmap

Design systems to optimize trade-offs

Build on supply chain infrastructure

Customize for Pharmacy constraints

Architect ML pipelines

Apply operations research techniques

Establish engineering best practices

Deliver production systems

Establish observability

Drive operational reviews

Use data to improve performance

Coordinate with US teams

Align on deliverables

Pioneer AI-augmented development

Drive data-driven decision-making

Evaluate supply chain tooling

Integrate supply chain infrastructure

Invent where differentiation required

How You'll Work.

Team & Collaboration

Partner with Applied Science; Coordinate with US teams; Cross-functional teams

Process & Methodology

Agile environment

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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