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.