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.