Technical Lead – Microsoft Dynamics 365
- Doha, Qatar
نُشرت أول أمس
عن الوظيفة
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.