Key skills
.NET CoreSQLDevOps practicesAPIsmicroservicesAI / ML capabilitiesexperience in regulated industriesevent-driven architecturesAzurecontainerizationcommunication skillsmentoring.NETAIMLMLOpsKubernetesDockerCI/CD
About this role
SoTalent is seeking an Expert-level Platform Consultant to design, modernize, and scale enterprise-grade application and data platforms. This role combines hands-on engineering with strategic consulting, partnering across teams to enable cloud-ready platforms and drive business impact at scale.
Responsibilities:
- Act as a trusted advisor to engineering and product leaders on platform architecture, modernization, and best practices
- Design and implement platform components using .NET Core, modern API patterns, and distributed systems
- Build and optimize SQL-based data solutions, including schema design, performance tuning, and integrations
- Guide teams on cloud-ready and microservices architectures
- Evaluate and integrate AI / ML capabilities into platform services and workflows
- Lead platform assessments, stakeholder analysis, and risk mitigation for complex initiatives
- Influence discovery, framing, and roadmap alignment across business and technology teams
- Support CI/CD pipelines, DevOps tooling, and automation to improve delivery velocity
- Partner with security and compliance teams to ensure platforms meet governance and regulatory standards
- Mentor engineers and contribute to technical standards, documentation, and knowledge sharing
Requirements:
- 7+ years of experience in platform engineering, software engineering, or solution architecture
- Strong hands-on experience with .NET Core, APIs, microservices, and distributed systems
- Deep expertise in SQL (T-SQL, stored procedures, relational modeling, performance tuning)
- Solid understanding of DevOps practices, CI/CD pipelines, and automation
- Ability to communicate complex technical concepts to both technical and non-technical stakeholders
- Comfortable operating in fast-paced, complex enterprise environments
- Experience in regulated industries (healthcare, insurance, financial services)
- Exposure to event-driven architectures, messaging systems, or data streaming
- Hands-on experience with Azure, containerization (Docker/Kubernetes)
- Familiarity with AI/ML concepts, MLOps, or enterprise AI integration patterns
- Experience contributing to platform standards, governance, or enterprise architecture