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Sr. Software Development Engineer, Amazon Pharmacy, Amazon Phamarcy

Amazon - Bengaluru, Karnataka, IND

Posted Jun 3, 2026

Benefits

Parental leave
6 weeks From the posting source checked Jun 20, 2026
Non-birth-parent leave
6 weeks From the posting source checked Jun 20, 2026
Family-building benefits
  • Fertility benefits: Offered From the posting source checked Jun 20, 2026
  • Adoption assistance: Offered From the posting source checked Jun 20, 2026
  • Surrogacy assistance: Not verified
Mental health support
Offered From the posting source checked Jun 20, 2026
Relocation assistance
Not verified
Childcare support
Offered From the posting source checked Jun 20, 2026
Learning budget
Not verified
Verification
Source-linked checked Jun 7, 2026
Salary
Not verified
401(k) match
Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

Shift type
Not verified
Weekend work
Not verified

Company

Equity
Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter
Not verified
Assessment
Not verified
Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Sr. Software Development Engineer, Amazon Pharmacy, Amazon Phamarcy Bengaluru, Karnataka, IND Join Amazon Pharmacy's Supply Chain Engineering team in Bangalore and build the systems that determine how medications reach patients. You will design and develop ML-driven supply chain technology: demand forecasting models that predict prescription volume, procurement systems that optimize purchasing under expiry and regulatory constraints, placement algorithms that position inventory across fulfillment centers, and planning systems that allocate capacity to meet patient demand. You will work at the intersection of software engineering, operations research, and machine learning. This is a founding team. You will build new systems from scratch, not maintain legacy code. You will work with large-scale datasets, ML models in production, and distributed systems that must be highly available because medication access depends on them. Pharmacy supply chains are unlike retail: demand is driven by prescriptions (not browsing), products expire, controlled substances require compliance layers, and regulations vary by state. Every system you build operates under these constraints. We are building an AI-native engineering team. You will use AI-augmented development workflows daily: code generation, automated testing, AI-assisted code review. We expect engineers who learn fast, build smart, and own their systems end-to-end from design through production operations. Key job responsibilities A. System Design & Development • Design and build scalable, resilient services for supply chain optimization: forecasting, procurement, placement, or planning • Develop ML-integrated systems that improve over time: learned demand models, intelligent reorder logic, placement optimization • Write high-quality, well-tested code and participate actively in code

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