Job description
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.
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