Principal Engineer

gStore is GreyOrange's flagship SaaS platform that transforms physical retail operations through realtime, AI-driven inventory visibility and intelligent in-store task execution. It integrates advanced

technologies like RFID, computer vision, and machine learning to deliver 98%+ inventory accuracy

with precise spatial mapping. gStore empowers store associates with guided workflows for

omnichannel fulfillment (BOPIS, ship-from-store, returns), intelligent task allocation, and real-time

replenishment significantly improving efficiency, reducing shrinkage, and driving in-store

conversions. The platform is cloud-native, hardware-agnostic, and built to scale across thousands of stores globally with robust integrations and actionable analytics.

Roles & Responsibilities

• Define and drive the overall architecture for scalable, secure, and high-performance distributed systems.
• Write and review code for critical modules and performance-sensitive components to set quality and architectural standards.
• Collaborate with engineering leads and product managers to align technology strategy with business goals.
• Evaluate and recommend tools, technologies, and processes to ensure the highest quality product platform.
• Own and evolve the system design, ensuring modularity, multi-tenancy, and future extensibility.
• Establish and govern best practices around service design, API development, security, observability, and performance.
• Review code, designs, and technical documentation, ensuring adherence to architecture and design principles.
• Lead design discussions and mentor senior and mid-level engineers to improve design thinking and engineering quality.
• Partner with DevOps to optimise CI/CD, containerization, and infrastructure-as-code
• Stay abreast of industry trends and emerging technologies, assessing their relevance and value.

Skills

• 12+ years of experience in backend development
• Strong understanding of data structures and algorithms
• Good knowledge of low-level and high-level system designs and best practices
• Strong expertise in

  Java & Spring Boot

  , with a deep understanding of microservice architectures and design patterns.
• Good knowledge of databases (both

  SQL

  and

  NoSQL

  ), including schema design, sharding, and performance tuning.
• Expertise in Kubernetes, Helm, and container orchestration** for deploying and managing scalable applications.
• Advanced knowledge of

  Kafka

  for stream processing, event-driven architecture, and data integration.
• Proficiency in

  Redis

  for caching, session management, and pub-sub use cases.
• Solid understanding of API design (REST/gRPC), authentication (OAuth2/JWT), and security best practices.
• Strong grasp of system design fundamentalsscalability, reliability, consistency, and observability.
• Experience with monitoring and logging frameworks (e.g. Datadog, Prometheus, Grafana, ELK, or equivalent).
• Excellent problem-solving, communication, and cross-functional leadership skills.
• Prior experience in leading architecture for SaaS or high-scale multi-tenant platforms is highly desirable.