senior azure devops engineer

Mindstream

Senior (Azure) DevOps Enginner&bull;&emsp;&emsp;Minimum of 10 years of experience in a DevOps or similar role.&bull;&emsp;&emsp;Bachelor&rsquo;s degree in computer science, Engineering, or related field (or equivalent work experience).&bull;&emsp;&emsp;Proven experience in working on DevOps initiatives and implementing DevOps practices within complex IT environments.&bull;&emsp;&emsp;Strong understanding of software development lifecycle (SDLC) processes andmethodologies like Waterfall or Agile methodologies such as Scrum or Kanban isessential.&bull;&emsp;&emsp;In-depth knowledge and practical proficiency in CI/CD pipelines, automation tools, configuration management, and infrastructure as code (IaC) principles, tools, and platforms.&bull;&emsp;&emsp;Experience with cloud platforms such as Azure, AWS, and GCP.&bull;&emsp;&emsp;Familiarity with containerization technologies like Docker and orchestration tools like Kubernetes.&bull;&emsp;&emsp;Experience with security tools and practices such as SAST, DAST, and softwarecomposition analysis.&bull;&emsp;&emsp;Proficiency in infrastructure automation tools like Terraform and configuration management tools like Ansible.&bull;&emsp;&emsp;Excellent problem-solving skills and the ability to troubleshoot complex issues inproduction environments.&bull;&emsp;&emsp;Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams.&bull;&emsp;&emsp;Proficiency in scripting languages such as Python, Bash, and PowerShell.&bull;&emsp;&emsp;Experience with version control systems such as Git.&bull;&emsp;&emsp;Experience with monitoring and logging tools.&bull;&emsp;&emsp;Understanding of networking concepts and security best practices.&bull;&emsp;&emsp;Ability to translate business requirements into technical solutions.&bull;&emsp;&emsp;Strong project management skills to support DevOps projects effectively.&bull;&emsp;&emsp;Experience in budgeting and cost optimization related to infrastructure and cloud services.&bull;&emsp;&emsp;Ability to provide support and assistance in driving cultural change and fostering collaboration between development and operations teams.&bull;&emsp;&emsp;Ability to mentor and coach team members on DevOps practices and principlesJob Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have in DevOps or similar roles?</li><li>How many years of hands-on experience do you have with CI/CD pipelines and automation tools?</li><li>Have you worked with containerization and orchestration tools like Docker and Kubernetes? </li><li>What is your current and expected salary? Notice Period?</li></ul>

Senior (Azure) DevOps Engineer)

Proven experience with Azure DevOps and implementing CI/CD pipelines.<ul><li>Strong knowledge of Azure data services, specifically Azure Databricks and Azure Data Factory.</li><li>Proficiency in Databricks Asset Bundle for Databricks Ci/CD.</li><li>Experience with scripting and automation tools (e.g., PowerShell, Python).</li><li>Experience in implementing selective deployment for ADF data pipelines.</li><li>Understanding of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.</li><li>Excellent problem-solving skills and ability to troubleshoot complex CI/CD issues.</li><li>Strong communication skills and ability to collaborate effectively with cross-functional teams.</li><li>Knowledge of security best practices for CI/CD pipelines and Azure environments.</li><li>Detail-oriented with a focus on delivering high-quality, reliable automation solutions.</li><li>Bachelor's degree in Computer Science, Information Technology, or related field.</li><li>Minimum of 5 years of experience in DevOps or related roles.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have working with Azure DevOps?</li><li>Do you have hands-on experience in implementing CI/CD pipelines for Azure data projects?</li><li>Have you worked with Azure Databricks and Azure Data Factory (ADF)?</li><li>Are you familiar with Databricks Asset Bundle for Databricks CI/CD?</li><li>How many years of experience do you have with Python or PowerShell scripting?</li><li>What is your notice period or earliest joining availability?</li><li>What is your current and expected salary? Notice period?</li></ul>

Azure DevOps (Data) Engineer _

Proven experience with Azure DevOps and implementing CI/CD pipelines.<ul><li>Strong knowledge of Azure data services, specifically Azure Databricks and Azure Data Factory.</li><li>Proficiency in Databricks Asset Bundle for Databricks Ci/CD.</li><li>Experience with scripting and automation tools (e.g., PowerShell, Python).</li><li>Experience in implementing selective deployment for ADF data pipelines.</li><li>Understanding of containerization and orchestration tools (e.g., Docker, Kubernetes) is a plus.</li><li>Excellent problem-solving skills and ability to troubleshoot complex CI/CD issues.</li><li>Strong communication skills and ability to collaborate effectively with cross-functional teams.</li><li>Knowledge of security best practices for CI/CD pipelines and Azure environments.</li><li>Detail-oriented with a focus on delivering high-quality, reliable automation solutions.</li><li>Bachelor's degree in Computer Science, Information Technology, or related field.</li><li>Minimum of 5 years of experience in DevOps or related roles.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have working with Azure DevOps?</li><li>Do you have hands-on experience in implementing CI/CD pipelines for Azure data projects?</li><li>Have you worked with Azure Databricks and Azure Data Factory (ADF)?</li><li>Are you familiar with Databricks Asset Bundle for Databricks CI/CD?</li><li>How many years of experience do you have with Python or PowerShell scripting?</li><li>Have you implemented selective deployment for ADF pipelines?</li><li>What is your current and expected salary?</li><li>What is your notice period or earliest joining availability?</li></ul>

Azure DevOps (Data) Engineer --

COZMALABS

We are seeking a highly skilled and confident Presales / Technical Operations Specialist with strong expertise in Microsoft Azure and excellent client-facing abilities. In this role, you will design enterprise-grade cloud architectures, perform accurate sizing and cost estimation, and develop comprehensive, client-ready migration and adoption plans.As a trusted advisor, you will present and defend your solutions, collaborate across teams, and ensure alignment with industry best practices and business objectives.Key Responsibilities<ul><li>Design and architect scalable, secure, and cost-optimized Microsoft Azure solutions.</li><li>Develop detailed architecture diagrams across infrastructure, networking, storage, compute, identity, and security.</li><li>Engage with clients to understand business drivers and translate requirements into effective cloud solutions.</li><li>Present and pitch solutions to technical and non-technical stakeholders, including senior leadership.</li><li>Justify architectural decisions using standards, Azure-native capabilities, and proven best practices.</li><li>Work closely with sales, engineering, and delivery teams to ensure smooth handover from presales to implementation.</li><li>Stay current with Azure updates, technologies, and evolving architectural patterns and frameworks.</li></ul>Required Skills &amp; Qualifications<ul><li>5+ years of hands-on Microsoft Azure experience across IaaS, PaaS, networking, storage, identity, and security.</li><li>Strong knowledge of Azure Pricing Calculator, TCO analysis, and cost optimization strategies.</li><li>Proven experience creating high-quality architecture diagrams (Visio, Lucidchart, or equivalent).</li><li>Excellent communication and presentation skills; able to simplify complex technical topics.</li><li>Demonstrated presales or consulting experience focused on solution design or architecture.</li><li>Self-driven, detail-oriented, and committed to continuous learning.</li><li>Knowledge of cloud governance, compliance frameworks, and landing zone design.</li><li>Preferred certifications: AZ-305 (Solutions Architect Expert), AZ-104 (Administrator), or equivalent.</li></ul>Nice to Have<ul><li>Experience with hybrid or multi-cloud environments.</li><li>Familiarity with DevOps practices and automation tools (Terraform, Bicep, ARM templates).</li><li>Background in systems engineering, enterprise IT, or cloud migration projects.</li></ul>Job Type: Full-time

Presales / Technical Operations Specialist

Codvo.ai

<div><div><div>Data Architect (Category - Architect)
Sector: Oil and Gas
Location: Doha, Qatar<div></div> 
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology. 
Our Vision: Engineering the Future of Energy with Data
Our digital transformation is moving from strategy to execution. We have a clear roadmap of high-impact data and AI use cases designed to fundamentally re-engineer our operations&mdash;from improving efficiency and implementing predictive maintenance on critical assets to enhancing subsurface modeling for better exploration outcomes. This is not just an IT upgrade; it is a core business imperative to create a more resilient, efficient, and intelligent energy company. We are now building the core team of innovators and builders to deliver these initiatives. This role is critical to bringing that vision to life, moving beyond theory to engineer the specific, robust data solutions that will power our most strategic projects and deliver measurable value. 
The Opportunity:
The Data Architect will be responsible for designing, governing, and evolving the organization&rsquo;s enterprise data architecture, ensuring that data platforms are scalable, secure, interoperable, and AI-ready. This role focuses on defining data models, integration patterns, governance standards, and architecture blueprints that enable analytics, AI, and digital products at scale.
The architect will work closely with data engineers, solution architects, cloud teams, business stakeholders, and cybersecurity teams to ensure data architecture aligns with business priorities and regulatory requirements. 
Job Description:
Key Responsibilities: 
Enterprise Data Architecture &amp; Design:<ul><li>Define and maintain the enterprise data architecture blueprint, including data lakes, warehouses, streaming platforms, and analytics layers.</li><li>Design logical, physical, and conceptual data models to support operational, analytical, and AI use cases.</li><li>Ensure architecture supports scalability, performance, and high availability.</li></ul> 
Cloud Data Platforms &amp; Integration:<ul><li>Architect cloud-native data platforms using Azure (ADF, Synapse, Databricks, Fabric) and/or GCP equivalents.</li><li>Design secure hybrid architectures integrating on-premises systems with cloud data platforms.</li></ul> 
 Data Governance, Quality &amp; Security:<ul><li>Define and enforce data governance frameworks, including metadata management, data lineage, data ownership, and stewardship models.</li><li>Establish data quality standards, validation rules, and monitoring mechanisms.</li><li>Ensure compliance with ISO 27001, NIA Qatar, data privacy, and internal cybersecurity policies.</li><li>Define data security architecture including encryption, access control, and role-based data access.</li></ul> 
 Analytics, AI &amp; Advanced Use Cases:<ul><li>Design data architectures that support advanced analytics, AI/ML, and digital twin initiatives.</li><li>Collaborate with data scientists and analysts to optimize data models for analytics and AI consumption.</li></ul> 
 Architecture Governance &amp; Leadership:<ul><li>Establish data architecture standards, reference architectures, and best practices.</li><li>Review solution designs to ensure alignment with enterprise data architecture principles.</li></ul> 
Required Skills and Qualifications:<ul><li> 
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Engineering, Information Systems, or related field.</li><li>10+ years of experience in data architecture, data engineering, or enterprise analytics roles.</li><li>Strong experience designing enterprise-scale data platforms in cloud and hybrid environments.</li><li>Expertise in data modelling (conceptual, logical, physical) and data integration patterns.</li><li>Deep understanding of data lakes, data warehouses, Lakehouse architectures, and real-time streaming platforms.</li><li>Hands-on experience with cloud data services (Azure preferred).</li><li>Strong knowledge of SQL, data transformation frameworks, and metadata management.</li><li>Familiarity with DevOps and DataOps practices.</li><li>Strong communication skills with the ability to engage both technical and business stakeholders.</li></ul> 
Technical Proficiencies:<ul><li>Expert-level proficiency in SQL and Python for data manipulation and pipeline development.</li><li>Big Data Technologies: Hands-on experience with distributed computing frameworks like Apache Spark (PySpark). Experience with streaming technologies like Kafka is a plus.</li><li>Cloud Platforms: Deep experience with Microsoft Azure (Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Synapse).</li><li>Data Warehousing/Lakehouse: Proven experience with modern data platforms Databricks Delta Lake.</li><li>AI &amp; ML Knowledge: Understanding of machine learning lifecycles and the data requirements for training and deploying AI/ML models.</li><li>Orchestration: Experience with workflow orchestration tools like Airflow, Dagster, or Azure Data Factory.</li><li>Databases: Strong understanding of both relational (e.g., PostgreSQL, SQL Server) and NoSQL databases. Experience with graph databases (e.g., Neo4j) and vector databases is highly desirable.</li><li>Version Control: Proficiency with Git and CI/CD best practices.</li></ul> 
Preferred Qualifications:<ul><li>Certifications such as Azure Data Engineer Expert, Azure Solutions Architect, or equivalent.</li><li>Hands-on experience with the OSDU&trade; Data Platform.</li><li>Experience in Oil &amp; Gas, energy, or industrial data environments.</li><li>Understanding of cybersecurity considerations for OT environments and data segregation.</li><li>Experience integrating data from ERP systems like SAP.</li><li>Experience working within AI-first or analytics-driven transformation programs.</li><li>Advanced SQL skills, including query optimization and performance tuning.</li><li>Knowledge of containerization technologies (Docker, Kubernetes).</li><li>Experience of constructing and maintaining enterprise knowledge graphs.</li></ul></div></div></div>

Data Architect (Category - Architect) (Doha)

MEEZA QSTP

<div>
 
 
 Security Infrastructure Engineer
 
 
 
 
 Functional Responsibilities:
 
 
 
 
 Data Ingestion and Normalization
 
 
 <ul>
 <li>
 Pipeline Management: Architect and maintain the ingestion of telemetry from multi-cloud (GCP, AWS, Azure) and on-premises environments using Bind Plane Forwarders, Cloud-to-Cloud (C2C) connectors, and Webhooks.
 </li>
 <li>
 Parser Development: Design, build, and troubleshoot custom parsers (CBN) to ensure non-standard log sources are correctly normalized into the Unified Data Model (UDM).
 </li>
 <li>
 Data Health Monitoring: Build dashboards to monitor ingestion rates, latency, and data drops to ensure the SIEM is always receiving high-quality, actionable data.
 </li>
 </ul>
 
 
 
 
 
 SOAR &amp; Automation Engineering
 
 
 <ul>
 <li>
 Playbook Development: Design and code automated incident response playbooks in Google SOAR using Python and visual builders.
 </li>
 <li>
 Connector Engineering: Build and maintain API integrations between Google SOAR and third-party tools (Firewalls, EDR, IAM, Ticketing systems).
 </li>
 <li>
 Workflow Optimization: Automate repetitive manual tasks such as artifact enrichment, evidence gathering, and initial containment actions.
 </li>
 <li>
 Case Management Configuration: Tailoring the SOAR environment to fit the SOC&rsquo;s operational needs, including custom fields, stages, and SLA tracking.
 </li>
 </ul>
 
 
 
 
 
 Platform Administration and Optimization
 
 
 <ul>
 <li>
 System Health Monitoring: Monitoring the ingestion health to ensure no data is dropped and that latency stays within acceptable limits.
 </li>
 <li>
 Access Control: Managing Role-Based Access Control (RBAC) to ensure analysts have the correct level of access to sensitive data.
 </li>
 <li>
 Threat Intel Ingestion: Managing the integration of Mandiant, Virus Total, and other third-party threat intelligence feeds to ensure detections are always up to date with the latest global threats.
 </li>
 </ul>
 
 
 
 
 
 Collaboration with SOC Team
 
 
 <ul>
 <li>
 Feedback Loops: Collaborating with Tier 1 and Tier 2 analysts to tune YARA-L rules based on real-world alert performance and "noise" levels.
 </li>
 <li>
 Requirements Gathering: Interviewing incident responders to understand their manual workflows, then translating those into Google SOAR playbooks.
 </li>
 <li>
 Training &amp; Enablement: Conducting knowledge transfer sessions on how to use UDM Search and the Google SecOps interface to speed up investigations.
 </li>
 </ul>
 
 
 Alignment with Infrastructure Team
 
 
 <ul>
 <li>
 Data Ingestion Strategy: Working with GCP/AWS/Azure Architects to ensure that Cloud Logging and Pub/Sub are configured correctly for seamless export to Google SecOps platform.
 </li>
 <li>
 Agent Deployment: Coordinating with IT Infrastructure teams to deploy and maintain Bind Plane Forwarders on on-premises servers and virtual machines.
 </li>
 <li>
 Troubleshooting: Collaborating with Network Engineers to resolve connectivity issues or firewall blocks that prevent telemetry from reaching the Google SecOps platform.
 </li>
 </ul>
 
 Knowledge, Skills &amp; Experience
 
 
 Academic &amp; Professional Qualifications:
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, IT, Cybersecurity, or equivalent.
 </li>
 <li>
 SIEM Certification (e.g., Google SecOps, Splunk, Azure Sentinel).
 </li>
 </ul>
 
 Preferred:
 
 <ul>
 <li>
 Security certifications such as Security+, CySA+, CEH, CISSP, GCIH
 </li>
 </ul>
 
 Experience:
 
 <ul>
 <li>
 3&ndash;5 years of hands-on experience in Security Engineering, SOC Automation, DevOps Engineer, Security Operations, or Infrastructure Security.
 </li>
 </ul>
 
 
 
 
 
 Skills and Requirements:
 
 
 
 
 Technical Skills (Must Have)
 
 
 <ul>
 <li>
 SIEM/SOAR Mastery: Proven experience architecting and managing enterprise-grade platforms (e.g., Splunk, Azure Sentinel, or QRadar), with at least 1&ndash;2 years specifically focused on Google SecOps (Chronicle).
 </li>
 <li>
 Coding &amp; Scripting: Professional experience using Python to automate security workflows or build custom API connectors.
 </li>
 <li>
 Cloud Infrastructure: Hands-on experience managing security within Google Cloud Platform (GCP), including VPC service controls, IAM, and Cloud Logging.
 </li>
 <li>
 Languages: Python (Advanced), SQL (BigQuery), YARA/YARA-L, and Bash.
 </li>
 <li>
 Frameworks: MITRE ATT&amp;CK, NIST Cybersecurity Framework.
 </li>
 <li>
 Tools: Git (Version Control), Terraform (Infrastructure as Code), Docker/Kubernetes (Containerization).
 </li>
 <li>
 Data Standards: Deep knowledge of JSON, Protobuf, and Regex for log parsing and normalization.
 </li>
 </ul>
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical thinking and problem-solving capability.
 </li>
 <li>
 Excellent communication skills, able to explain technical findings to non-technical stakeholders.
 </li>
 <li>
 Ability to work independently, manage multiple priorities, and meet deadlines.
 </li>
 <li>
 Attention to detail and a structured, documentation-driven mindset.
 </li>
 </ul>
 
 
</div>

Security Infrastructure Engineer

<div>
 A senior engineer for this role is one of the key people that will support the technical manager and solution architect in fronting the customer. The engineer is expected to be able to do requirement gathering, communicating the requirements to offshore development/product team, be a proxy for the offshore development/product team for technical design, testing &amp; deployment. As a module track leader, you are expected to manage customer expectations and coordinate delivery with the development/product team by managing the project schedule and tasking of the module.
 
 
 You are expected to work with various roles in the project including but not limited to:
 
 
 <ul>
 <li>
 BA Lead/Manager to gather requirements.
 </li>
 <li>
 Off-shore teams for deliver project modules (development/product teams).
 </li>
 <li>
 Singapore HQ teams to on product features &amp; extensions.
 </li>
 <li>
 Test Manager to conduct internal &amp; external testing for the project.
 </li>
 <li>
 Manage product vendors and integrations of products with developers
 
 
 </li>
 </ul>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Requirement Gathering
 </li>
 <li>
 Meet customer, users and product teams to derive requirements.
 </li>
 <li>
 Good and innovative in UI wireframe prototyping to solicit requirements. Manage chatbot avatar designers to deliver avatar UI/UX requirements.
 </li>
 <li>
 Push customers to obtain knowledge bases for LLM. Curate and manage knowledge bases for LLM as the proxy for development and product teams.
 </li>
 <li>
 Work with BA and development team to derive use cases of LLM chatbot usages.
 </li>
 <li>
 Write requirement documentation.
 </li>
 <li>
 Convert requirements into epics and user stories.
 </li>
 <li>
 Work with UIUX engineer to come up with user journey before and after solutioning.
 </li>
 <li>
 Communicate with UIUX engineer to product wireframes and interactive prototypes.
 </li>
 <li>
 Convert business requirements to technical documents.
 </li>
 <li>
 Technical Design
 </li>
 <li>
 Work with development and product teams to derive design documents.
 </li>
 <li>
 Work with avatar and LLM chatbot backend teams to ensure integrated design delivery for product enhancement and for use cases.
 </li>
 <li>
 Work with technical manager and technical leads (offshore) to come up with technical design for module requirements.
 </li>
 <li>
 Work with technical manager and senior technical leads (Singapore) to come up with technical design for product customisation requirements. Practitioner of SCRUM Methodology
 </li>
 <li>
 Integration
 </li>
 <li>
 Work with partners and vendors to integrate applications.
 </li>
 <li>
 Integration with other project subsystems to complete the full system, e.g. app-to-app integrations and cybersecurity.
 </li>
 <li>
 Work with Technical Architect/Manager on the technical design of assigned modules.
 </li>
 <li>
 Coordinate and work with project engineers and system engineers to ensure integrations of asset data into the product.
 </li>
 <li>
 Functional Testing
 </li>
 <li>
 Coordinate and work with project engineers and users to conduct test and commissioning of use cases.
 </li>
 <li>
 Support Test Manager in the documentation of test scenarios for software modules.
 </li>
 <li>
 Support Test Manager in internal testing of software modules
 </li>
 <li>
 Support Test Manager in the integration testing of software modules
 </li>
 <li>
 Support Test Manager in User Acceptance Testing (UAT)
 </li>
 <li>
 DevOps &amp; Deployment
 </li>
 <li>
 Able to use various DevOps tools to perform the following:
 </li>
 <li>
 Deployment of software systems
 </li>
 <li>
 Patching of software updates
 </li>
 <li>
 Run static code analysis using DevOps tools
 </li>
 <li>
 Manage branching, approval of check-ins etc
 </li>
 <li>
 Run dynamic analysis with DevOps tools
 </li>
 <li>
 Facilitate offshore developers and leads in security report lapses.
 </li>
 <li>
 Performance Testing
 </li>
 <li>
 Able to use automation test tools to conduct performance testing for project.
 </li>
 <li>
 Able to product performance test report.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Personality &amp; Work Traits
 
 
 
 <ul>
 <li>
 Software Engineering certifications and/or relevant degree.
 </li>
 <li>
 Good Leadership skills
 </li>
 <li>
 Good presentation skills
 </li>
 <li>
 Good communication skills
 </li>
 <li>
 Able to manage a team of 2-4 people
 </li>
 <li>
 Independent Worker (Able to work independently with minimal guidance)
 </li>
 <li>
 A proactive work attitude
 </li>
 <li>
 A team player (Inclusive mind-set to collaborate effectively in a diverse team)
 </li>
 <li>
 Problem solver
 </li>
 <li>
 Able to deliver with quality
 </li>
 <li>
 *Fast learner (for technology)
 
 
 </li>
 </ul>
 
 Work Experience
 
 
 
 <ul>
 <li>
 Experienced in software requirements gathering and team leading of both frontend and backend development.
 </li>
 <li>
 Experienced in application deployment to an IT infrastructure (on-premise and public cloud).
 </li>
 <li>
 Experienced with LLM chatbot and avatar development and/or integration.
 </li>
 <li>
 Good understanding and experience of one or more full project SDLC as technical lead
 </li>
 <li>
 Able to confidently and clearly communicate with others
 </li>
 <li>
 Able to express design using UML notation &amp; UML Diagrams, and good in writing software engineering documentation.
 </li>
 <li>
 Worked in at least 2 projects using English as the main language of communication.
 </li>
 <li>
 Experience with SCRUM or other agile framework
 
 
 </li>
 </ul>
 
 Technical Skills
 
 
 
 <ul>
 <li>
 Microsoft project or a scheduling tool
 </li>
 <li>
 Some experience with programming languages &amp; development tools:
 </li>
 <li>
 HTML, JavaScript, CSS3
 </li>
 <li>
 *Java/*C#/*C++
 </li>
 <li>
 Some experience with programming frameworks
 </li>
 <li>
 AngularJS (Preferred) /*ReactJS/*VueJS
 </li>
 <li>
 Microservices design and containers deployment of applications
 </li>
 <li>
 One or more of the following COTS products experience
 </li>
 <li>
 Enterprise Service Bus &amp; Messaging Brokers
 </li>
 <li>
 Kafka
 </li>
 <li>
 *AMQP
 </li>
 <li>
 *MQTT
 </li>
 <li>
 *Protobuf
 </li>
 <li>
 CEP &amp; Rule Engines
 </li>
 <li>
 Application Servers
 </li>
 <li>
 NodeJS
 </li>
 <li>
 Java-based Application Servers
 </li>
 <li>
 Web servers, eg. IIS
 </li>
 <li>
 Container Orchestrators
 </li>
 <li>
 Databases
 </li>
 <li>
 Relational databases
 </li>
 <li>
 Microsoft MSSQL
 </li>
 <li>
 PosgresSQL
 </li>
 <li>
 *Oracle
 </li>
 <li>
 No-SQL databases
 </li>
 <li>
 Administrative Tools:
 </li>
 <li>
 Microsoft Project or equivalent tool
 </li>
 <li>
 MS Offices (Word, Excel, PowerPoint)
 </li>
 <li>
 MS Teams
 </li>
 <li>
 DevOps Tools
 </li>
 <li>
 Jira
 </li>
 <li>
 Confluence
 </li>
 <li>
 GitLab
 </li>
 <li>
 SonarQube
 </li>
 <li>
 Nexus/Maven
 </li>
 <li>
 Postman, or equivalent
 
 
 </li>
 </ul>
 
 Languages
 
 
 
 <ul>
 <li>
 English
 </li>
 <li>
 *Chinese
 </li>
 <li>
 *Vietnamese
 </li>
 <li>
 *Arabic
 </li>
 <li>
 Good to have
 </li>
 </ul>
</div>

Senior Software Engineer – LLM Chatbot and Avatar (Qatar)

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