Project: IT service provider for the life science and healthcare industry.

Responsibilities:

• Managing a distributed team of DevOps engineers and streams within the project
• Participating in customer meetings, setting objectives, and responding to inquiries
• Advising on technical aspects of installation, configuration, sizing, and scaling in Azure Cloud
• Providing new Azure Cloud resources and services via Terraform and/or Azure ARM templates (including Azure Policies and Azure Blueprints)
• Managing and supporting various environments in Microsoft Azure Cloud
• Configuring and managing the infrastructure deployed in Azure Cloud
• Developing and managing the CI/CD process in Azure DevOps for different types of applications, environments, and automation processes
• Deploying and configuring various data pipelines based on Data Factory, Azure Batch, and Azure Databricks
• Automating deployment of application code to different environments
• Managing build assembly, deployment, and configuration, testing implemented solutions.
• Managing and deploying custom scripts.

What we expect:

• Deep understanding of Azure Cloud, Azure DevOps/Pipelines
• Effective team management skills
• Strong customer negotiation skills
• Good knowledge of Terraform and/or Azure ARM templates/Blueprints
• Solid experience with Kubernetes/Docker
• Knowledge of Azure Virtual Networks, App Services, PostgreSQL, Virtual machines, Data Factory, Batch, Functions (Serverless), Logic Apps
• Knowledge of Azure Monitor, Security Center, Log Analytics, and App Insights and ability to use them for system monitoring and developer support (logs, traces, RCAs)
• Experience in creating infrastructure (planning, scaling, monitoring)
• Upper-Intermediate English or higher.

Project: IT service provider for the life science and healthcare industry.

Responsibilities:

• Provision of new Azure Cloud resources and services via ARM templates (including Azure Policies and Azure Blueprints)
• Managing and supporting various environments in Microsoft Azure Cloud
• Configuring and managing the infrastructure deployed in Azure Cloud
• Developing and managing the CI/CD process in Azure DevOps for different types of applications and environments and automation of as many processes as possible
• Deploying and configuring Data Factory, Batch, Databricks, Data Lake, Azure Machine Learning
• Automating deployment of application code to different environments
• Designing and implementing build, deployment, and configuration management, testing implemented designs
• Managing and deploying custom scripts
• Providing advisory on technical aspects of installation, configuration, sizing, and scaling in Azure Cloud.

What we expect:

• Deep understanding of Azure Cloud, Azure DevOps/Pipelines
• Knowledge of ARM templates/Blueprints
• Experience with Kubernetes/Docker
• Knowledge of Azure Virtual Networks, App Services, PostgreSQL, Virtual machines, Data Factory, Batch, Functions (Serverless), Logic Apps
• Knowledge of Azure Monitor, Log Analytics, App Insights and ability to use them for monitoring and developer support (logs, traces, RCAs)
• Experience in creating infrastructure
• Upper-Intermediate English or higher.

Terms: we need specialists for 3-4 months with possible prolongation.

Project: IT service provider for the life science and healthcare industry.

Responsibilities:

Focus on company processes, procedures, and tasks automation with the main target to improve efficiency/improve customer experience and reduce human error.

Requirements:

• Proficient in building automations in the Microsoft 365 environment using tools from the Microsoft platform and/or APIs from other systems.
• Experience in Microsoft 365 platform development, including PowerShell scripting and working with Microsoft Graph API.
• Familiarity with Azure, including app registration and administration, as well as Azure Automation account setup and management.
• Experience in SharePoint and working with SharePoint's data.
• Experience in PowerBI, including PowerBI connector usage, datasets preparation, and the creation of reports.
• Ability to develop custom code, such as consuming REST APIs, to enhance and extend the capabilities of Microsoft 365 and other systems.
• Strong problem-solving and analytical skills to troubleshoot and resolve issues related to Microsoft 365 automations and integrations.
• Proficiency in C#/.NET development or any other programming language.
• Excellent communication skills, with a strong intermediate level of English or higher.

Project description and requirements for Background to the assignment

The company provides Data Science support for chemistry product development and support R&D. This includes the design and development of production-ready web application to serve the developed data science model to the end-user and other things.

Therefore, the development requires a secure setup of Azure services according to an existing system architecture. To keep compliance with company's standards, the setup needs to be automated using Terraform and should follow Microsoft recommendations for security and networking. There is also a need for a proper test environment concept and deployment automation for the web application components according to the concept.

Consequently, we need an expert with sufficient expertise in connection with Azure Serverless technologies in a secure setup and their automated deployment, handling of test environment as well as logging and monitoring of serverless applications.

Backlog items will be assigned in Azure DevOps containing business requirements and acceptance criteria.

Workload based on Agile environment, 2 weeks sprints. With Sprint meetings once in two weeks and Daily meetings.

Tasks

Automation of build and deployment of web app components based on Docker container and Azure serverless technologies

• Staged deployment and test environment concept for App Service apps and Function App APIs
• Concept for deployment and hosting of API specs
• Concept for deployment and hosting of code documentation
• Concept for logging and monitoring of serverless functions App Service apps and Function App APIs

Automation of Azure services provisioning based on Terraform

• Setup of Azure App Service, Function App under consideration of Azure security recommendations and automation via Terraform
• Setup of Cosmos DB under consideration of Azure security recommendations and automation via Terraform

Documentation of technical implementation which is subject to approval by the client.