Take over the setup of interfaces (expected 6 endpoints) between Salesforce and MS Project Operations based on Azure FunctionsThe affected data objects for the interfaces are Opportunity, Account and Portfolio (custom object).4 transfers from SF to MSPO are planned - Additionally, 2 transfers from MSPO to SF are planned Support the mapping of the data fields between the two systems via our middleware (Azure Functions)Accompany the integration tests after the setup and take over possible troubleshooting both on the test installation and later on the production environmentSupport our project team in communication with the involved parties (Sales specialist department, IT operations team, IT middleware team, implementation partner for MS Project Operations)Support the IT middleware team and the IT operations team in the setup of meaningful error messages / system feedback in case of errorsAdditionally perform a few smaller adjustments to our existing Salesforce installation (e.g. introduce a new variable or implement a new flow for automation or add 2-3 additional fields)Create documentation of the performed adjustments and the functionality of the interface for our operations team.The Salesforce installation used is a version of Salesforce Manufacturing Cloud - Sales - Unlimited Edition (currently release Winter '26) adapted to the needs of the customerThey have a test instance on which the adjustments should first be implemented and tested, and a separate instance for production on which the changes must later be taken live Solid experience with SalesforceExperience with Azure FunctionsExperience with MS Project Operations Language: English100% RemoteEU Only Ihr Kontakt Referenznummer 864378/1 Kontakt aufnehmen Telefon:+ 49 621 1788-4297 E-Mail: positionen@hays.de Anstellungsart Freiberuflich für ein Projekt
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Mein Arbeitgeber Language: English Administer and maintain Azure AI Foundry workspaces, environments, model catalogs, compute and configurations Manage lifecycle operations for LLMs, embeddings models and model deployments within the platform (excluding agent deployment) Ensure reliability, scalability, and performance of AI Foundry environments across all stages (dev/test/prod) Configure and maintain logging, tracing, telemetry and usage dashboards Monitor performance, cost, quota consumption and operational health of AI Foundry components Implement alerting and diagnostics to ensure platform stability Apply and maintain Azure RBAC, workspace governance and access policies inside the platform Ensure consistency in workspace structure, permissions and operational standards across teams Support internal teams in onboarding and safe platform usage Produce high quality documentation, runbooks, platform guides and onboarding materials Assist internal teams in using AI Foundry capabilities effectively / Provide hands-on troubleshooting and support for platform adoption Practical, hands-on experience managing Azure platforms in production environments Strong knowledge of Azure AI Foundry, Azure OpenAI, and related Azure AI/ML components Familiarity with LLM lifecycle management, platform operations, and governance Experience working autonomously within engineering or platform teams Strong communication skills and ability to assist internal teams Proven ability to produce clear and structured documentation Experience with Portkey for model routing, observability, caching, or guardrails Knowledge of Azure API Management (APIM) Understanding of other AI ecosystem tools such as Promptflow, MLflow, LangChain, or Semantic Kernel Exposure to cloud security best practices Start: April 2026 Remote work possible Ihr Kontakt Referenznummer 863216/1 Kontakt aufnehmen Telefon:+ 49 621 1788-4297 E-Mail: positionen@hays.de Anstellungsart Freiberuflich für ein Projekt
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