Back
Tier-1 brand, mid-level SDE title, metro location, and generalist backend skillset drive high competition.
Strong backend and ML skills are transferable, but pharmacy supply-chain and regulatory constraints increase domain specificity.
Explicit 5+ years requirement plus leadership, production ownership, and regulated pharmacy constraints increase strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Design and develop scalable, ML-driven supply chain systems for forecasting, procurement, placement, and planning, focusing on pharmacy-specific constraints like expiry and regulations.
Own end-to-end system lifecycle including design, development, deployment, monitoring, and on-call support for high availability services.
Collaborate across disciplines and time zones to productionize ML models, improve system performance, and drive engineering best practices using AI-augmented workflows.
5+ years professional software development experience with programming and system design/architecture leadership.
Experience mentoring or leading engineering teams.
Bachelor's degree in computer science or equivalent.
Work Experience in Supply Chain or Operations domain with ML applications preferred but not mandatory.
Experienced engineer comfortable working at the intersection of software engineering, operations research, and ML in high-stakes, regulated healthcare supply chains.
Proven track record in designing and operating scalable, resilient distributed systems with mission-critical uptime requirements.
Capable of full lifecycle ownership and proactive technical leadership in an AI-native, data-driven engineering environment.