Technical Lead – Microsoft Dynamics 365

**Role Overview** We are seeking an experienced Technical Lead to provide technical leadership, solution architecture, and development oversight for a complex Microsoft Dynamics 365 implementation. **Key Responsibilities** * Lead the end\-to\-end technical architecture for Dynamics 365, integrations, portals, business rules, and supporting technologies. * Lead and mentor multidisciplinary development teams. * Design and oversee Dynamics 365/Dataverse**,** workflows, security, integrations, and customizations. * Oversee APIs, system integrations, digital portals, and business rules/decision engines. * Ensure solutions are secure, scalable, maintainable, and aligned with technical standards. * Lead technical design reviews, code reviews, troubleshooting, testing, releases, and production readiness. * Establish and oversee CI/CD, DevOps, documentation, and technical governance. * Identify technical risks, dependencies, and issues and drive timely resolution. * 10\+ years of experience building production distributed systems. * Strong expertise in Java and Spring Boot. * Extensive experience with REST APIs, microservices, event\-driven architectures, and distributed systems. * Strong AWS experience across compute, storage, networking, and IAM. * Hands\-on experience with edge computing, CDN execution environments, edge workers, Lambda@Edge, or similar technologies. * Experience building data platforms or systems supporting ML inference and model serving. * Strong understanding of system design, scalability, reliability, observability, and security. * Proven experience taking systems from 0 to 1 in an environment with evolving requirements. * Strong communication skills with the ability to influence technical decisions across teams. * Demonstrated experience using AI\-assisted development tools and LLM\-powered engineering workflows. **Nice to Have** * JavaScript / TypeScript experience. * Python experience for data engineering or scripting. * Databricks or similar data/AI platforms. * Experience with ML model registries and feature platforms. * Knowledge of JWT/JWS, PKI, OAuth 2\.0, identity, or token verification. * Experience with distributed tracing, structured logging, and observability platforms. * Experience building multi\-party integrations or network/platform services. * Open\-source contributions.