29 Azure Engineer jobs in Qatar
Cloud Solution Architect - Azure Infrastructure
Posted today
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Job Description
Microsoft aspires to help our customers achieve their own digital transformation, leveraging the power of Microsoft Cloud solutions and support offerings. To this end, Microsoft invests in a dedicated Customer Success team that will help Microsoft customers successfully realize their business outcomes.
Azure is the most comprehensive, innovative, and flexible cloud platform today and Microsoft is hiring professionals that will drive customer cloud adoption within the most important companies in the market. We are always learning. Insatiably curious. We lean into uncertainty, take risks, and learn quickly from our mistakes. We build on each other’s ideas because we are better together. We stand in awe of what humans dare to achieve and are motivated every day to empower others to do more and achieve more through our technology and innovation. Together we make a difference.
**Responsibilities**:
We are looking for a highly motivated and passionate Infrastructure Cloud Solution Architect (CSA) focusing on Azure Infrastructure Innovation to join the Customer Success Unit within the Middle Eastern Cluster (MEC). This customer-facing position is a hands-on technical role spanning across design, build, and operations with a focus on issue resolution to remove customer technical obstacles and adoption challenges.
As part of this role, you will be responsible for technical customer engagements, working with the most challenging and exciting projects within Microsoft MEC customer base. You will work with select customers to lead deep technical architecture discussions with senior customer executives, Enterprise Architects, IT Management and Developers. You will collaborate with a variety of internal and external teams to develop pilots and oversee implementation projects, ensuring technical blockers are removed on adoption. You will drive technical intensity of developers and create communities within customers. And you will collaborate with Product engineering to share feedback into the development of Microsoft products and help develop Azure platforms.
**Key responsibilities include**:
Understand customers' overall cloud portfolio, IT and business priorities, and success measures to design implementation architectures and scalable cloud solutions leveraging expertise in cloud infrastructure solutions (Windows and Linux IaaS, SAP, VMware, BCDR, Security, Management, Storage, Networking, OSS, HPC, containers and Infra as a code technologies).
- Lead SAP on Azure projects contribute to customer skilling plan.
- Extend SAP to data, AI and Power Platform by adding cross-solution engagements with partners
- Collaborate and support SAP on SAP RISE as appropriate for customer success
- Partner with the Infrastructure (general) CSA to ensure SAP engagement success
- Ensure all solutions leverage the design and operations guidance according to the Well-Architected framework across all pillars, including performance efficiency, security, operational excellence, reliability, and cost optimization
- Run Architectural Design Sessions to build plan for implementing solution -governing design in line with customer business goals and their technical environment. Outcome is consensus on solution design and next steps toward production. Use CAF Landing Zones to rapidly prototype and deliver proof-of-concepts that accelerate production deployment
- Develop deep relationships with key customer IT decision makers, who drive long-term cloud adoption within their company to enable them to be cloud advocates
- Be the Voice of the Customer; Share insights and best practices, and connect with Engineering teams to remove blockers
- Troubleshoot technical issues to prove the value of implementation of Azure technologies
- Assess the customer knowledge of Azure platform and overall cloud readiness to support customers through a structured learning plan and ensure delivery through partners - Collaborate with others in developing complex end-to-end Enterprise solutions on the Microsoft Azure platform
- Maintain technical skills and knowledge of market trends and competitive insights; collaborate and share with the technical community - Be an Azure Platform evangelist with customers, partners and external communities.
- Build and grow developer communities by driving activities including OpenHacks, Workshops
**Qualifications**:**
Experiences Required - Education, Key Experiences, Knowledge and Skills**:
**Professional**:
- Professional Experience. 5+ years of success in consultative/complex technical sales and SAP deployment projects, architecture, desi
Microsoft Azure Certified Engineer
Posted today
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**Microsoft Azure Infrastructure and Deployment**
- Implementing designs for Azure IoT solutions that include device topology, connectivity, security, and debugging
- Managing the entire device lifecycle set up
- Configuration and maintenance of cloud tools and services
- Also manage, monitory, and transform IoT data pipelines
- Deploying Azure IoT Edge components and configure device networking on the edge
- Achieve successful business integration by working with Data Engineers and Stakeholders
- Must have experience to configure Networks
- Able to monitor resources and log analytical
- Able to implement and manage storage
- Should be familiar with IoT Devises
- Applicant must be knowledge on Web Application
- Should have experience in Virtual Machine configuration and Managing
- **Experience**
- Applicant must have at least 5 years of experience in similar stream
- **Education **
- Bachelor Degree in Computer Science / Software Engineering or relevant field
- **Salary: Salary will be discussed at time of Interview**
Ability to commute/relocate:
- Doha: Reliably commute or planning to relocate before starting work (required)
**Education**:
- Bachelor's (preferred)
Data Operation Engineer(Azure Cloud-python/scala)
Posted today
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Job Description
**Job description**:
Bachelor's Degree in Computer Science/ Engineering, or related field and strong technical exp in relevant area of business Below are the required skills for this Data Operations Engineer Role,
minimum 3-6 years of experience in object-oriented/object function scripting
languages: Python, Scala, etc and in Python programming and libraries like Pandas, NumPy, SciPy Exp in Adv SQL using relational /No SQL databases, query authoring (SQL) as well as working with a variety of databases.
Exp building and optimizing big data data pipelines, architectures and data sets.
Exp in programming using Azure Databricks and ADLS ,Working knowledge of message queuing, stream processing, and highly scalable big data data stores is added advantage.
Exp with Azure cloud services ADLS, Key Vaults, ADF, Log Analytics
Exp performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
**Experience**:
- Data operation: 6 years (required)
Data Operation Engineer(Azure Cloud-python/scala)
Posted today
Job Viewed
Job Description
**Job description**:
Bachelor's Degree in Computer Science/ Engineering, or related field and strong technical exp in relevant area of business Below are the required skills for this Data Operations Engineer Role,
minimum 3-6 years of experience in object-oriented/object function scripting
languages: Python, Scala, etc and in Python programming and libraries like Pandas, NumPy, SciPy Exp in Adv SQL using relational /No SQL databases, query authoring (SQL) as well as working with a variety of databases.
Exp building and optimizing big data data pipelines, architectures and data sets.
Exp in programming using Azure Databricks and ADLS ,Working knowledge of message queuing, stream processing, and highly scalable big data data stores is added advantage.
Exp with Azure cloud services ADLS, Key Vaults, ADF, Log Analytics
Exp performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
**Experience**:
- Data operation: 6 years (required)
Data Operation Engineer(Azure Cloud-python/scala)
Posted today
Job Viewed
Job Description
**Job description**:
Bachelor's Degree in Computer Science/ Engineering, or related field and strong technical exp in relevant area of business Below are the required skills for this Data Operations Engineer Role,
minimum 3-6 years of experience in object-oriented/object function scripting
languages: Python, Scala, etc and in Python programming and libraries like Pandas, NumPy, SciPy Exp in Adv SQL using relational /No SQL databases, query authoring (SQL) as well as working with a variety of databases.
Exp building and optimizing big data data pipelines, architectures and data sets.
Exp in programming using Azure Databricks and ADLS ,Working knowledge of message queuing, stream processing, and highly scalable big data data stores is added advantage.
Exp with Azure cloud services ADLS, Key Vaults, ADF, Log Analytics
Exp performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
**Experience**:
- Data operation: 6 years (required)
Data Operation Engineer(Azure Cloud-python/scala)
Posted today
Job Viewed
Job Description
**Job description**:
Bachelor's Degree in Computer Science/ Engineering, or related field and strong technical exp in relevant area of business Below are the required skills for this Data Operations Engineer Role,
minimum 3-6 years of experience in object-oriented/object function scripting
languages: Python, Scala, etc and in Python programming and libraries like Pandas, NumPy, SciPy Exp in Adv SQL using relational /No SQL databases, query authoring (SQL) as well as working with a variety of databases.
Exp building and optimizing big data data pipelines, architectures and data sets.
Exp in programming using Azure Databricks and ADLS ,Working knowledge of message queuing, stream processing, and highly scalable big data data stores is added advantage.
Exp with Azure cloud services ADLS, Key Vaults, ADF, Log Analytics
Exp performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
**Experience**:
- Data operation: 6 years (required)
Solution Engineer- AI, Apps & Azure Infra
Posted 14 days ago
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Job Description
- Lead hands-on engagements—hackathons, code-with sessions, and architecture & technical workshops—to accelerate adoption of Microsoft’s developer tools and cloud platforms.
- Build trusted relationships with developers and platform leads as well as AI decision makers to co-design secure, scalable architectures and solutions.
- Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
- Maintain deep expertise in one of the following:
- Software Solutions Engineer: GitHub, Visual Studio, AI-assisted dev tools, Foundry SDK, CI/CD, DevOps, and cloud-native development (APIs, containers, microservices)
- Data Solution Engineer: Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL, Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
- Infrastructure Solution Engineer: Cloud migration (Windows, SQL, Linux, PostgreSQL, app workloads), resiliency, security, and compliance. Deepen knowledge of enterprise apps (SAP, Oracle) and Azure VMware Solution (AVS).
- AI Applications Solution Engineer: AI Foundry & App architecture (Agentic AI framework, TensorFlow, Pytorch, Responsible AI) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven). Maintain and grow expertise in AI Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring).
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Solution Engineer- AI, Apps & Azure Infra
Posted 19 days ago
Job Viewed
Job Description
- Lead hands-on engagements—hackathons, code-with sessions, and architecture & technical workshops—to accelerate adoption of Microsoft’s developer tools and cloud platforms.
- Build trusted relationships with developers and platform leads as well as AI decision makers to co-design secure, scalable architectures and solutions.
- Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.
- Maintain deep expertise in one of the following:
Software Solutions Engineer: GitHub, Visual Studio, AI-assisted dev tools, Foundry SDK, CI/CD, DevOps, and cloud-native development (APIs, containers, microservices)
Data Solution Engineer: Analytics Portfolio: Microsoft Fabric (OneLake, DW, real-time intelligence, BI, Copilot), Azure Databricks, Purview Data Governance and Azure Databases: SQL DB, Cosmos DB, PostgreSQL, Maintain and grow expertise in on-prem EDW (Teradata, Netezza, Exadata), Hadoop & BI solutions.
Infrastructure Solution Engineer: Cloud migration (Windows, SQL, Linux, PostgreSQL, app workloads), resiliency, security, and compliance. Deepen knowledge of enterprise apps (SAP, Oracle) and Azure VMware Solution (AVS).
AI Applications Solution Engineer: AI Foundry & App architecture (Agentic AI framework, TensorFlow, Pytorch, Responsible AI) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven). Maintain and grow expertise in AI Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring).
- Represent Microsoft in customer forums and technical communities through thought leadership.
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Cloud engineer
Posted 5 days ago
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Job Description
Experience : 4-6yrs
Job description :
Must have skills:
- Look for 4+ yrs of experience in Pyspark, Python or Scala with Spark. Good exposure to Google Cloud (Mandatory)
- Mandatory experience in SQL
- Knowledge of GCP & BigQuery is mandatory
- Exposure to schemas like REST or GraphQL is an added advantage
Responsibilities:
- 4+ years of experience as a Data Engineer
- Cloud certification (GCP is an added plus)
- Proven experience with Apache Spark for big data processing
- Strong ability to write complex SQL queries for data manipulation and analysis
- Programming Languages: Expertise in at least one of the following: Scala (highly preferred), Python
- Excellent analytical and problem-solving skills. Ability to work with minimal or no support
- Preferred experience with Spark SQL, DataFrames, and Datasets; familiarity with distributed systems concepts
- Experience with big data processing tools and techniques
- Experience with Google Cloud Platform (GCP), particularly BigQuery for data warehousing and analytics
- Knowledge of AI/ML is a plus
Cloud engineer
Posted 5 days ago
Job Viewed
Job Description
Experience: 4-6 years
Job Description:
Must Have Skills:
- 4+ years of experience in Pyspark, Python, or Scala with Spark
- Good exposure to Google Cloud (Mandate)
- Mandatory experience in SQL
- Knowledge in GCP & Big Query is mandatory
- Exposure to Schemas like REST or GraphQL will be an added advantage
Responsibilities:
- 4+ years of experience as a Data Engineer
- Cloud certification (GCP is an added plus)
- Disqualifiers at resume level: (Must have)
- Proven experience with Apache Spark for big data processing
- Strong ability to write complex SQL queries for data manipulation and analysis
- Expertise in at least one of the following programming languages: Scala (highly preferred), Python
- Excellent analytical and problem-solving skills; we expect engineers to work with minimal or no support
- Experience with Spark SQL, DataFrames, and Datasets; familiarity with distributed systems concepts
- Experience with big data processing tools and techniques
- Experience with Google Cloud Platform (GCP), particularly Big Query (BQ) for data warehousing and analytics
- Knowledge of AI/ML is an added plus