Key Responsibilities

• Define and evolve cloud-native architecture for Finance and SCM platforms using API-first and event-driven patterns.

• Architect resilient, distributed transaction flows across microservices, commerce ERPs (Oracle Fusion, Netsuite, D365 etc), OMS, WMS, financial systems, and data platforms.

• Establish standards for event contracts, data consistency, reconciliation frameworks, and financial ledger integrity.

• Design for high availability, horizontal scalability, and peak traffic readiness (seasonal spikes, month-end close).

• Establishes error framework and enables self-service retry mechanism.

• Lead modernization initiatives (monolith decomposition, async processing, streaming, domain-driven design).

• Drive observability strategy — logging, tracing, metrics, SLOs — for critical financial and inventory systems.

• Own system-level non-functional requirements: latency, fault tolerance, disaster recovery, and security.

• Drive the adoption of Agentic AI to re-imagine user experience and finance workflows (e.g., invoice processing, journal entry validation, reconciliation, supplier communication, collections).

• Influence cloud infrastructure strategy (Kubernetes, serverless, managed services).

• Partner with Finance, Supply Chain, Data, and Security leadership to translate regulatory and operational needs into architecture.

• Mentor senior engineers and shape engineering standards across domains.

Skills, Tools & Experience

• 12+; years of engineering experience building distributed, cloud-native systems.

• Strong expertise in microservices architecture, event-driven systems, and API design.

• Hands-on experience with cloud platforms (AWS, Azure, GCP) and container orchestration (Kubernetes).

• Experience with streaming platforms (Kafka, Pub/Sub, Event Hubs) and async messaging patterns.

• Strong understanding of financial domain concepts (ledgering, revenue recognition, inventory costing, reconciliation) and experience with Cloud ERPs.

• Experience designing systems for high-transaction retail or e Commerce environments.

• Deep knowledge of data architecture, eventual consistency, and idempotent processing.

• Proficiency in modern backend stacks (Java, .NET, Go, or similar) and strong SQL/data modeling skills.

• Experience implementing observability and SRE principles (Open Telemetry, monitoring, SLOs).

• Proven ability to influence cross-functional and executive stakeholders on platform strategy