Senior Lead Engineer, Retail Inventory
Core
Design and implement end-to-end microservices and cloud-native solutions on GCP to optimize retail inventory management using RFID technology and AI-enabled workflows.
Role type
Senior Lead Engineer (Retail Inventory Systems)
Builds
Scalable RFID-driven intelligent systems, mobile and web applications for store touchpoints, and AI agent workflows for inventory tracking and automation.
Domain
Retail / E-commerce / Cloud Engineering / AI Integration
Deliverable
production ML models | product features | infrastructure
Required skills
Java, Python, Node.js, GCP, Microservices, OOP, Algorithms, Data Structures, SQL, Kafka, MQTT, Kubernetes, Docker, Serverless, CI/CD, Test-Driven Development, REST APIs, Event-driven systems, RDBMS, NoSQL, Postgres, Redis, OWASP principles, LLM APIs, Agentic frameworks
Preferred skills
Retail or e-commerce domain experience, AI/ML integrations, RFID exposure, New Relic observability tools, Mulesoft, SAP PO/BTP, Boomi
Technologies
GCP, Java, Python, Node.js, Kafka, MQTT, Kubernetes, Docker, Jenkins, GitHub Actions, Vertex AI, OpenAI, LangChain, CrewAI, Postgres, Redis, New Relic, Mulesoft, SAP PO/BTP, Boomi
Responsibilities
Design and implement end-to-end microservices and cloud-native solutions; Build mobile and web applications spanning multiple store touchpoints; Embed agentic AI capabilities into inventory workflows; Integrate LLM-based tooling and AI agents into backend services; Conduct detailed analysis of requirements and technical environments to design scalable solutions; Lead and mentor other team members
Seniority
Senior, hands-on IC with leadership responsibilities