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Crowe · 9 hours ago

D365 Commerce Technical Consultant

Chicago, IL

Full-time

Onsite

Mid Level

$102K/yr - $204K/yr

Crowe is a leading public accounting, consulting, and technology firm dedicated to delivering innovative solutions. The D365 Commerce Technical Consultant will focus on customizing and extending the Commerce SDK and developing web solutions, collaborating with cross-functional teams to meet business needs.

AccountingAdviceConsultingFinanceFinancial ServicesInformation TechnologyProfessional ServicesTax Consulting

No H1B

Responsibilities

Design and implement advanced customizations and extensions to the Commerce SDK, particularly enhancing CSU capabilities

Develop robust solutions integrating seamlessly with Microsoft Dynamics 365 Commerce and .NET platforms

Collaborate closely with cross-functional teams to translate complex business requirements into precise technical specifications

Follow development best practices to ensure optimal performance and reliability of extended functionalities

Develop responsive, intuitive, and user-friendly web interfaces supporting Commerce SDK extensions

Utilize .NET and React frameworks to build modern, performant web applications with seamless backend integration

Work closely with UX/UI designers to ensure cohesive user experiences and brand consistency

Support configuration, deployment, and monitoring of CSU environments to ensure optimal performance

Troubleshoot integration issues promptly to minimize operational disruptions

Document configuration changes, customizations, and standard operating procedures

Qualification

.NETDynamics 365 CommerceKubernetesCloud EngineeringPythonBashMLOpsLeadershipCommunicationCollaboration

Required

7+ years of professional experience in DevOps, cloud engineering, MLOps, or platform engineering

2+ years of experience in engineering leadership or senior technical leadership roles

Expert proficiency with distributed cloud systems, Kubernetes, and infrastructure-as-code

Advanced ability to troubleshoot infrastructure, networking, container, and deployment issues

Proficiency in Python, Bash, or similar automation and scripting languages

Strong understanding of monitoring, observability, and reliability engineering patterns

Hands-on experience supporting infrastructure for ML or generative AI workloads

Strong leadership, communication, and cross-functional collaboration skills

Preferred

Bachelor's degree in computer science, engineering, cloud computing, or a related field

Master's degree in technical discipline

Cloud and AI certifications, including Azure (AZ-900, AZ-104, AZ-305, AZ-700, AZ-800, AI-102) or equivalent AWS/GCP certifications

Extensive experience with Kubernetes platforms (EKS, AKS, GKE) and cloud ML services (Azure ML, SageMaker)

Experience with GPU workload orchestration, optimization, and multi-tenant inference environments

Expertise in observability and distributed tracing (Prometheus, Grafana, CloudWatch, OpenTelemetry)

Strong experience with Terraform and infrastructure governance at scale

Familiarity with service mesh architectures (Istio, Linkerd) and advanced deployment patterns (blue/green, canary)

Advanced experience supporting generative AI platforms, including LLM inference runtimes (vLLM, TGI), RAG infrastructure, and vector databases (Pinecone, Weaviate, FAISS)

Experience operating fine-tuned LLMs (LoRA, QLoRA), managing GenAI CI/CD pipelines, and implementing hallucination, drift, and reliability monitoring

Demonstrated ability to make strategic technical decisions within defined delivery and budget constraints