Description
About the client:
Our client is a flagship SaaS platform that transforms physical retail operations through real-
time, 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. Our client empowers their customer/s 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 optimize CI/CD, containerization, and infrastructure-as-code
Stay abreast of industry trends and emerging technologies, assessing their relevance and value.
Skills
- 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 fundamentals—scalability, 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.
Experience
- 12+ years of relevant experience
Qualifications
- Engineering or science background is preferred.
- Bachelor’s degree and above is preferred
