Актуальные заказы по Azure

MS Office365 Support Engineer

Удаленно
Full-time

We are looking for an experienced Office365 Support Engineer to join a support team, dedicated to a life science project. Join a team working with a multinational company on a flexible work schedule.

An Office365 Support Engineer is responsible for assisting internal company employees and providing support via Microsoft Teams and ServiceNow, your core responsibilities will include:

  • User Support: Offer prompt and effective support to internal employees encountering Office365-related issues via various channels, including Microsoft Teams and ServiceNow.
  • Issue Resolution: Diagnose and troubleshoot technical issues within the Office365 environment, addressing problems related to SharePoint, Office365 Administration, Teams, and Azure AD.
  • Documentation: Maintain comprehensive documentation of Office365 configurations, procedures, and issue resolutions for reference and knowledge sharing.
  • Daily Team Meetings: Actively participate in daily team meetings to stay informed on internal company IT policy changes, share updates on support activities, and foster effective communication within the team.
  • Educate Users: Offer user training and guidance regarding Office365 applications.


What we expect:

  • 2-4 years of hands-on experience with Office365 administration and support.
  • Proficient with SharePoint, OneDrive, Exchange, Teams, and Azure Active Directory.
  • Experienced with Sharepoint sites migration.
  • Experienced with Powershell scripting.
  • Strong investigation and diagnostic abilities.
  • Excellent communication and user training skills.
  • Excellent written and verbal skills in English and Japanese (upper-intermediate or higher).


Nice to have:

  • Familiarity with Life Sciences
  • Knowledge and experience of ServiceNow would be beneficial.
  • Have hands-on experience with PowerApps to create custom business apps within Office365.
  • Experience with ServiceNow for seamless integration with Office365
  • Good understanding of ITIL processes


Lead Data Engineer

Удаленно
Full-time

The project, a platform for creating and publishing content on social media using artificial intelligence tools, is looking for a Lead Data Engineer.


Responsibilities:

- Design, develop, and maintain robust and scalable data pipelines for collecting, processing, and storing data from diverse social media sources and user interactions.

- Design of data warehouse.

- Implement rigorous data quality checks and validation processes to uphold the integrity.

accuracy, and reliability of social media data used by our AI models.

- Automate Extract, Transform, Load (ETL) processes to streamline data ingestion and transformation, reducing manual intervention and enhancing efficiency.

- Continuously monitor and optimize data pipelines to improve speed, reliability, and scalability, ensuring seamless operation of our AI Assistant.

- Collaborate closely with Data Scientists, ML Engineers, and cross-functional teams to understand data requirements and provide the necessary data infrastructure for model development and training.

- Enforce data governance practices, guaranteeing data privacy, security, and compliance with relevant regulations, including GDPR, in the context of social media data.

- Establish performance benchmarks and implement monitoring solutions to identify and address bottlenecks or anomalies in the data pipeline.

- Collaborate with data analysts and business teams to design interactive dashboards that enable data-driven decision-making.

- Develop and support data marts and dashboards that provide real-time insights into social media data.

- Stay updated with emerging data technologies, tools, and frameworks, evaluating their potential to improve data engineering processes.


Qualifications:

- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.

- Proven experience in data engineering, focusing on ETL processes, data pipeline development, and data quality assurance.

- Strong proficiency in programming languages such as Python, SQL and knowledge of data engineering libraries and frameworks.

- Experience with cloud-based data storage and processing solutions, such as AWS, Azure, or Google Cloud.

- Familiarity with DataOps principles and Agile methodologies.

- Excellent problem-solving skills and the ability to work collaboratively in a cross-functional team.

- Strong communication skills to convey technical concepts to non-technical stakeholders.

- Knowledge of data governance and data privacy regulations is a plus.

Senior Azure DevOps engineer

Удаленно
Full-time

Project in healthcare industry.


Responsibilities

  • Build the automation processes of our Big Data platforms.
  • Install, deploy, configure, maintain and monitor infrastructure, systems, and management tools of our Big Data platforms.
  • Ensure the highest levels of systems and infrastructure availability for our Big Data platforms.
  • Ensure the proper security standards in terms of infrastructure, systems, and processes.
  • Monitor and test application performance for potential bottlenecks, identify possible solutions and work with developers to implement fixes Provide 2nd level support.
  • Liaise with vendors (Azure and Databricks) and other IT personnel for problem resolution.


General Requirements

  • University degree or similar education in Software Engineering or Computer Science.
  • At least 3 years experience in DevOps and/or in using automation to build infrastructure.
  • Fluent English and good communication skills both in verbal and written form.
  • Ability to work in a globally distributed environment.


Technical Skills

  • Understanding of infrastructure automation concepts and good hands-on knowledge of Ansible.
  • Understanding of containerization concepts and strong knowledge of Docker.
  • Good understanding of Versioning Control systems and strong knowledge of Git.
  • Hands-on experience in Linux administration and in Bash scripting.
  • Experience with Jenkins.
  • Proficiency in writing scripts in Python.
  • Understanding of cloud paradigms (IaaS/SaaS/PaaS).
  • Understanding of networking concepts and cybersecurity best practices.
  • Understanding of agile software development process.
  • Accustomed to leverage tools like Confluence and Jira for knowledge and collaboration management.
  • Hands-on experience with MS Azure.
  • Experience with container orchestration and knowledge of Azure Kubernetes.
  • Familiarity with Big Data technologies: Spark/Hadoop, Azure Databricks, Apache Airflow.
  • Understanding of SQL and NoSQL database types, paradigms, and design patterns.

Solution Architect

Удаленно
Full-time

A specialist is required for our client's project to create specific solutions working with a stack of technologies:

Docker, Azure Container Apps, Bicep templating, Powershell, Azure Devops yaml CI/CD, Azure Storage, Azure Service Bus, Azure Networking (Private DNS Zones, Private Network/Subnets, CDN, Firewall, Network Security Group), Azure Frontdoor, Azure B2C, Azure Application Insights, M-Files, Document360, .NET 7, C# 11, ASP.NET Core, Blazor WASM, SwaggerGen, Azure Key-Vault, SQL Server.


Required Skills:

  • Experience building distributed architectures (microservices, service oriented architecture).
  • Event Driven Communication (Saga, Transactional Inbox/Outbox, Durable chains, Routing Slip).
  • Relational/non-relational Databases expertise - SQL Server.
  • Networking / Security (private networks and tunneling).
  • .NET Core 6,7 / C# 10,11 expertise, Entity Framework Core, Identity Server4.
  • UML Diagramming (Component/Flow/Sequence diagrams).
  • Monitoring tools / Alerting configuration experience.

English: B2+, C1

Locations: USA, Mexico, Lithuania

Lead Azure DevOps Engineer

Удаленно
Full-time
Проектная занятость

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.


Senior Azure DevOps Engineer

Удаленно
Full-time
Проектная занятость

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.