Dynamics CRM Senior Technical Lead
India
Job Description
Dynamics CRM Senior Technical Lead
Noida, Uttar Pradesh
Job Summary
Developer profile and skills matrix Both proposed developers must be highly skilled and hands-on across both Microsoft Azure integration engineering and Microsoft Dynamics 365/Dataverse. HCLTech must not propose one Azure-only developer and one D365-only developer. Individual strengths may differ, but each developer must be capable of working independently across the end-to-end solution. Rating scale: 4 = expert and able to lead independently; 3 = strong hands-on capability; 2 = working knowledge; 1 = awareness. Skill / capability Minimum for both Evidence expected C# and modern .NET 4 Production APIs/services, async development, resilience, logging and tests.
Key Responsibilities
Azure API Management 4 Policies, products, Entra authentication, validation, throttling, versioning and diagnostics. Azure Functions / serverless compute 4 HTTP and Event Hubs triggers, scaling, retries, identity, configuration and diagnostics. Azure Event Hubs 4 Partitions, keys, consumer groups, checkpoints, throughput, replay and lag. Azure storage and durable event patterns 3 Raw/canonical persistence, lifecycle, secure access, audit and replay. Key Vault and managed identity 3 RBAC, secret/certificate handling and identity based access. Entra ID and OAuth 2.0 3 App registrations, service principals, client credentials, scopes/roles and tokens. Application Insights / Azure Monitor / Log Analytics 3 Correlation, custom telemetry, KQL, dashboards, alerts and troubleshooting. Infrastructure as Code 3 Bicep or Terraform and repeatable multi environment deployment. Azure DevOps and CI/CD 3 Repos, PRs, pipelines, approvals, artefacts and secure configuration. REST APIs, OpenAPI and webhooks 4 Contract-first design, authentication, batching, throttling, retry and errors. Event-driven integration patterns 4 Idempotency, ordering, deduplication, dead lettering, replay and consistency. Dynamics 365 / Dataverse development 4 Solutions, tables, relationships, security, audit, activities and timeline. Dataverse Web API and SDK 4 CRUD/upsert, alternate keys, batching, concurrency, limits and errors. D365 plug-ins and server-side extensibility 4 Pipeline, registration, transactions, tracing, performance and enforcement. Power Platform ALM 4 Managed solutions, environment variables, connections and deployment validation. Security and privacy engineering 3 Least privilege, secure coding, input validation, PII minimisation and auditability. Technical documentation and handover 3 Design notes, ADRs, deployment guides, runbooks
Skill Requirements
Azure API Management 4 Policies, products, Entra authentication, validation, throttling, versioning and diagnostics. Azure Functions / serverless compute 4 HTTP and Event Hubs triggers, scaling, retries, identity, configuration and diagnostics. Azure Event Hubs 4 Partitions, keys, consumer groups, checkpoints, throughput, replay and lag. Azure storage and durable event patterns 3 Raw/canonical persistence, lifecycle, secure access, audit and replay. Key Vault and managed identity 3 RBAC, secret/certificate handling and identity based access. Entra ID and OAuth 2.0 3 App registrations, service principals, client credentials, scopes/roles and tokens. Application Insights / Azure Monitor / Log Analytics 3 Correlation, custom telemetry, KQL, dashboards, alerts and troubleshooting. Infrastructure as Code 3 Bicep or Terraform and repeatable multi environment deployment. Azure DevOps and CI/CD 3 Repos, PRs, pipelines, approvals, artefacts and secure configuration. REST APIs, OpenAPI and webhooks 4 Contract-first design, authentication, batching, throttling, retry and errors. Event-driven integration patterns 4 Idempotency, ordering, deduplication, dead lettering, replay and consistency. Dynamics 365 / Dataverse development 4 Solutions, tables, relationships, security, audit, activities and timeline. Dataverse Web API and SDK 4 CRUD/upsert, alternate keys, batching, concurrency, limits and errors. D365 plug-ins and server-side extensibility 4 Pipeline, registration, transactions, tracing, performance and enforcement. Power Platform ALM 4 Managed solutions, environment variables, connections and deployment validation. Security and privacy engineering 3 Least privilege, secure coding, input validation, PII minimisation and auditability. Technical documentation and handover 3 Design notes, ADRs, deployment guides, runbooks
Other Requirements
Azure API Management 4 Policies, products, Entra authentication, validation, throttling, versioning and diagnostics. Azure Functions / serverless compute 4 HTTP and Event Hubs triggers, scaling, retries, identity, configuration and diagnostics. Azure Event Hubs 4 Partitions, keys, consumer groups, checkpoints, throughput, replay and lag. Azure storage and durable event patterns 3 Raw/canonical persistence, lifecycle, secure access, audit and replay. Key Vault and managed identity 3 RBAC, secret/certificate handling and identity based access. Entra ID and OAuth 2.0 3 App registrations, service principals, client credentials, scopes/roles and tokens. Application Insights / Azure Monitor / Log Analytics 3 Correlation, custom telemetry, KQL, dashboards, alerts and troubleshooting. Infrastructure as Code 3 Bicep or Terraform and repeatable multi environment deployment. Azure DevOps and CI/CD 3 Repos, PRs, pipelines, approvals, artefacts and secure configuration. REST APIs, OpenAPI and webhooks 4 Contract-first design, authentication, batching, throttling, retry and errors. Event-driven integration patterns 4 Idempotency, ordering, deduplication, dead lettering, replay and consistency. Dynamics 365 / Dataverse development 4 Solutions, tables, relationships, security, audit, activities and timeline. Dataverse Web API and SDK 4 CRUD/upsert, alternate keys, batching, concurrency, limits and errors. D365 plug-ins and server-side extensibility 4 Pipeline, registration, transactions, tracing, performance and enforcement. Power Platform ALM 4 Managed solutions, environment variables, connections and deployment validation. Security and privacy engineering 3 Least privilege, secure coding, input validation, PII minimisation and auditability. Technical documentation and handover 3 Design notes, ADRs, deployment guides, runbooks
Information at a Glance