Design, develop, and maintain integration solutions to connect systems and automate processes across enterprise environments. This includes building RESTful and SOAP APIs and managing data flows using ETL tools and messaging platforms.
Design and lead the implementation of scalable, secure integration solutions and enterprise architecture strategies. Connect complex digital ecosystems using APIs, messaging, and event-driven architectures to support business agility.
Act as the L3 technical escalation point for D365 F&O incidents, resolving complex production issues and performing deep root cause analysis. Design and maintain extension-based customizations, integrations, and performance optimizations following Microsoft best practices.
Act as the final functional authority for complex D365 F&O Supply Chain Management incidents and provide root-cause analysis for critical business interruptions. You will mentor L1/L2 support teams and ensure all solutions align with standard system configurations over customizations.
Collaborate with cross-functional teams to build and scale high-quality user experiences across web and mobile platforms. Maintain scalable frontend components while monitoring and debugging issues to improve performance and usability.
Design and develop scalable backend services and REST APIs using C# and .NET within a cloud-native environment. Collaborate with cross-functional teams to deliver high-quality features and improve system reliability.
Design and build a greenfield analytical data platform on GCP to power internal and customer-facing AI agents. This includes constructing ELT/CDC pipelines, managing orchestration, and developing the retrieval layer for RAG systems.
Lead the design and development of agentic AI systems across engineering productivity, internal company intelligence, and customer-facing features. Establish technical standards for AI deployment on GCP and mentor the engineering team in agentic systems expertise.
Own the health, performance, and delivery of client infrastructure by automating manual work and optimizing CI/CD pipelines. Define and track reliability metrics like SLIs and SLOs while utilizing AI/AIOps for intelligent monitoring and incident response.
