
Technical Lead – Microsoft Dynamics 365
- On-site
Full Time
Current Vacancy
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.
Job requirements
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.
- Doha, Ad Dawḩah, Qatar
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