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cybersecuriy engineer

microservices engineer

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.
 
 
 The company is founder-led, profitable, and growing.
 
 
 This is a general selection track for teams that focus on back-end REST API microservices engineering in Go and Python. It covers all levels of seniority. Apply here if you are already an outstanding engineer with crisp and well-articulated views on APIs, microservice design, engineering processes and DevOps.
 
 
 Our services need to scale to handle millions of Ubuntu clients, and collaboration across thousands of community members. They are also central to the health of critical infrastructure across the globe. As Ubuntu has been embraced by mainstream enterprise computing through the adoption of cloud and developer-centric tech strategy, the quality of these services has become more important to customers and users.
 
 
 While Ubuntu has been enormously successful and in many senses leads the industry, we think we can substantially improve our practices, quality and performance in the web services domain. We are growing our teams, and in doing so we aim to level up our insights on scalability, performance, resilience and DevOps practices.
 
 
 Key areas of interest for us are:
 
 
 <ul>
 <li>
 API design, documentation, and governance
 </li>
 <li>
 Database performance design considerations and skills
 </li>
 <li>
 Multi-region service delivery for resilience and performance
 </li>
 <li>
 Fuzzing and other proactive security analysis techniques
 </li>
 <li>
 Tracing and profiling for distributed systems insights
 </li>
 <li>
 Next-generation DevOps practices
 
 
 </li>
 </ul>
 
 Location
 
 : we have microservices teams with open roles in every time zone.
 
 
 What your day will look like
 
 
 <ul>
 <li>
 Write high-quality, well-designed, and robust software that works at scale
 </li>
 <li>
 Design APIs and software architecture for collegial review
 </li>
 <li>
 Write tests that validate software behaviour
 </li>
 <li>
 Build and maintain reliable, fault-tolerant applications and services
 </li>
 <li>
 Collaborate proactively with a globally distributed team
 </li>
 <li>
 Display technical leadership internally and within our external communities
 </li>
 <li>
 Debug issues and produce high-quality solutions to resolve them
 </li>
 <li>
 Contribute to technical documentation to make it the best of its kind
 </li>
 <li>
 Discuss, contribute to, and collaborate across teams at Canonical
 </li>
 <li>
 Work from home with global travel twice annually for company events
 
 
 </li>
 </ul>
 What we are looking for in you
 
 
 <ul>
 <li>
 An exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in Computer Science or STEM, or a compelling narrative about your alternative path
 </li>
 <li>
 Drive and a track record of going above-and-beyond expectations
 </li>
 <li>
 Proficiency in Python and / or Go
 </li>
 <li>
 History of writing modern, maintainable software
 </li>
 <li>
 Experience with relational and non-relational database systems
 </li>
 <li>
 Continuous integration and continuous delivery experience
 </li>
 <li>
 Experience with systems programming or scalable web services
 </li>
 <li>
 Professional written and spoken English
 </li>
 <li>
 Experience with Linux (Debian or Ubuntu preferred)
 </li>
 <li>
 Excellent interpersonal skills, curiosity, flexibility, and accountability
 </li>
 <li>
 Passion, thoughtfulness, and self-motivation
 </li>
 <li>
 Excellent communication and presentation skills
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 </li>
 <li>
 Ability to travel twice a year, for company events up to two weeks each
 
 
 </li>
 </ul>
 
 Additional Skills That You Might Also Bring
 
 
 
 <ul>
 <li>
 Experience with container tech such as LXD, Docker, and Kubernetes
 </li>
 <li>
 Understanding of build systems and toolchains
 </li>
 <li>
 Experience with cross-compilation
 </li>
 <li>
 Experience with hyperscale public clouds and / or private clouds
 </li>
 <li>
 Experience with designing, building, and running distributed systems
 </li>
 <li>
 Performance engineering and security experience
 
 
 </li>
 </ul>
 What we offer you
 
 
 We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognise outstanding performance. In addition to base pay, we offer a performance-driven annual bonus. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 Canonical is an equal opportunity employer
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Microservices Engineer

Al Adyat consultancy

Developer - A skilled Microservcies Engineer with hands-on experience in NestJS-based microservices to support, maintain, and troubleshoot backend systems in production. This role focuses on ensuring system reliability, resolving incidents, and collaborating with engineering teams to improve service stability and performance.Roles &amp; Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Collaborate with team members to design and implement new features.- Engage in code reviews and provide constructive feedback to peers.Professional &amp; Technical Skills:- Must To Have Skills: Proficiency in Microservices and Light Weight Architecture.- Experience with RESTful APIs and microservices architecture.- Strong understanding of cloud technologies and deployment strategies.- Familiarity with front-end technologies such as HTML, CSS, and JavaScript frameworks.- Knowledge of database management systems and data modeling.Additional Information:- The candidate should have minimum 3 years of experience in Microservices and Light Weight Architecture.- A 15 years full time education is required.- Troubleshooting experiences (tools, logs analysis etc.) and quick Troubleshooting skill- 2 years of Experience in Application / Platform support activities, proficient in ITSM tool, processess and Support activities.- Willing to work in shifts, on-call for Operational supportsJob Type: Full-timePay: QAR14,000.00 - QAR17,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Microservices- Technology Developer: 3 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>License/Certification:<ul><li>degree in Computer Science (Required)</li></ul>

Microservices- Technology Developer

A skilled Microservcies Lead with hands-on experience in NestJS-based microservices to support, maintain, and troubleshoot backend systems in production. This role focuses on ensuring system reliability, resolving incidents, and collaborating with engineering teams to improve service stability and performance.Key ResponsibilitiesProvide L2/L3 production support for microservices built using NestJS and Node.jsMonitor system health, logs, and metrics to proactively identify issuesInvestigate, troubleshoot, and resolve backend service incidents and outagesPerform root cause analysis (RCA) and document incidents and resolutionsSupport API-related issues (REST/GraphQL) and service-to-service communicationWork with databases (SQL/NoSQL) to diagnose data and performance issuesCollaborate with development and DevOps teams to deploy fixes and improvementsAssist with incident management, on-call rotations, and escalation handlingCreate and maintain runbooks, SOPs, and support documentationIdentify recurring issues and suggest long-term improvements to system stabilityParticipate in code reviews and architectural discussionsMentor junior team members to enhance their skills and knowledge.Write clean, testable, and well-documented code for new features, enhancements, bug fixes.Required Skills &amp; QualificationsExperience supporting NestJS and Node.js backend applicationsUnderstanding of microservice architectureHands-on experience troubleshooting REST APIs and backend servicesFamiliarity with databases any RDBMS, MongoDB, or RedisExperience working with logs, monitoring, and alerting toolsBasic understanding of Docker and containerized environmentsKnowledge of authentication and authorization mechanisms (JWT, OAuth)Strong analytical and problem-solving skillsAbility to communicate technical issues clearly to both technical and non-technical teamsPreferred-to-Have SkillsExperience with message queues (Kafka, Solace)Exposure to Kubernetes and cloud platforms (Azure, GCP)Familiarity with CI/CD pipelinesExperience with incident management toolsUnderstanding of basic security and performance tuning conceptsAdditional Information:- The candidate should have minimum 7.5 years of experience in Microservices and Light Weight Architecture.- This position is based at our Doha office.- A 15 years full time education is required.- Troubleshooting experiences (tools, logs analysis etc.) and quick Troubleshooting skill- 5 years of Experience in Application / Platform support activities, proficient in ITSM tool, processess and Support activities.- Willing to work in shifts, on-call for Operational supportsJob Type: Full-timePay: QAR14,000.00 - QAR17,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Microservices- Technology Lead: 8 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>License/Certification:<ul><li>degree in Computer Science (Required)</li></ul>

Microservices- Technology Lead

University of Doha for Science & Technology

<div>
 
 Overview
 
 
 
 University of Doha for Science and Technology (UDST) is the first national applied University in the State of Qatar, offering applied bachelor&rsquo;s and master&rsquo;s degrees in addition to certificates and diplomas in various fields. UDST has over 50 programs in the fields of Engineering Technology and Industrial Trades, Business Management, Computing and Information Technology, Health Sciences, Continuing and Professional Education and more.
 
 
 With more than 700 staff and over 8,000 students, UDST is the destination for top-notch applied and experiential learning. The University is recognized for its student-centred learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences with the incorporation of innovative technological interventions, to further enhance students&rsquo; skills and help develop talented graduates that can effectively contribute to a knowledge-based economy and make Qatar&rsquo;s National Vision 2030 a reality.
 
 
 We are seeking a highly motivated Research Associate to join a collaborative research project between the University of Doha for Science and Technology (UDST) and a leading technology-driven business in Qatar. The ideal candidate will have a strong background in reinforcement learning, optimization, recommender systems, and applied machine learning, with a focus on developing advanced algorithms for inventory management and personalized customer experiences.
 
 
 
 Responsibilities
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Development of an Inventory Optimization Module
 </li>
 <li>
 Conduct research on safety stock management and reinforcement learning (RL) approaches.
 </li>
 <li>
 Prototype RL-driven inventory optimization algorithms.
 </li>
 <li>
 Integrate inventory optimization models with demand forecasting systems.
 </li>
 <li>
 Recommender System Development
 </li>
 <li>
 Develop context-aware recommender systems using knowledge graphs and session encoding techniques.
 </li>
 <li>
 Prototype and validate recommender algorithms for personalized recommendations.
 </li>
 <li>
 Integrate recommender models with inventory and forecasting systems.
 </li>
 <li>
 Microservices, MLOps &amp; Deployment
 </li>
 <li>
 Deploy RL optimizers and recommender systems as microservices.
 </li>
 <li>
 Build CI/CD pipelines for scalable and reliable deployment.
 </li>
 <li>
 Implement monitoring dashboards, drift detection, and performance alerts.
 </li>
 <li>
 Documentation, Training &amp; Academic Output
 </li>
 <li>
 Prepare technical documentation, API specifications, and system user guides.
 </li>
 <li>
 Contribute to case studies, final reports, and academic publications/patents.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Educational Background:
 </li>
 </ul>
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Ph.D. in Computer Science, Operations Research, AI, or a related field, OR
 </li>
 <li>
 Master&rsquo;s degree in Computer Science/Engineering with at least 3 years of experience in optimization, recommender systems, or reinforcement learning.
 </li>
 <li>
 Technical Expertise:
 
 
 </li>
 </ul>
 </ul>
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Strong knowledge of reinforcement learning, optimization algorithms, and recommender systems.
 </li>
 <li>
 Experience with simulation and A/B testing methodologies.
 </li>
 <li>
 Familiarity with knowledge graphs, session-based recommendation, and personalization techniques.
 </li>
 <li>
 Proficiency in deploying ML models as microservices and applying MLOps best practices
 </li>
 <li>
 Programming Skills:
 
 
 </li>
 </ul>
 </ul>
 <ul>
 <li>
 </li>
 <ul>
 <li>
 Strong programming skills in languages such as Python or R.
 </li>
 <li>
 Familiarity with machine learning libraries and frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch) is a must.
 </li>
 <li>
 Analytical Skills/ Communication Skills:
 
 
 </li>
 </ul>
 </ul>
 <li>
 </li>
 <ul>
 <li>
 Ability to design, prototype, and validate optimization and recommendation algorithms.
 </li>
 <li>
 Strong documentation and presentation skills for both technical and non-technical stakeholders.
 </li>
 <li>
 Team Collaboration: Proven experience working in collaborative team environments and managing multiple tasks effectively.
 </li>
 </ul>
</div>

Research Associate – AI-Data Science with a focus on Inventory Optimization & Recommender Systems Specialist

University of Doha for Science and Technology

<div>Overview:

University of Doha for Science and Technology (UDST) is the first national applied University in the State of Qatar, offering applied bachelor&rsquo;s and master&rsquo;s degrees in addition to certificates and diplomas in various fields. UDST has over 50 programs in the fields of Engineering Technology and Industrial Trades, Business Management, Computing and Information Technology, Health Sciences, Continuing and Professional Education and more.
With more than 700 staff and over 8,000 students, UDST is the destination for top-notch applied and experiential learning. The University is recognized for its student-centred learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences with the incorporation of innovative technological interventions, to further enhance students&rsquo; skills and help develop talented graduates that can effectively contribute to a knowledge-based economy and make Qatar&rsquo;s National Vision 2030 a reality. 
We are seeking a highly motivated Research Associate to join a collaborative research project between the University of Doha for Science and Technology (UDST) and a leading technology-driven business in Qatar. The ideal candidate will have a strong background in reinforcement learning, optimization, recommender systems, and applied machine learning, with a focus on developing advanced algorithms for inventory management and personalized customer experiences.
Responsibilities: 
Key Responsibilities:
1. Development of an Inventory Optimization Module<ul><li>
Conduct research on safety stock management and reinforcement learning (RL) approaches.</li><li>
Prototype RL-driven inventory optimization algorithms.</li><li>
Integrate inventory optimization models with demand forecasting systems.</li></ul>
2. Recommender System Development<ul><li>
Develop context-aware recommender systems using knowledge graphs and session encoding techniques.</li></ul><ul><li>
Prototype and validate recommender algorithms for personalized recommendations.</li><li>
Integrate recommender models with inventory and forecasting systems.</li></ul>
3. Microservices, MLOps &amp; Deployment<ul><li>
Deploy RL optimizers and recommender systems as microservices.</li><li>
Build CI/CD pipelines for scalable and reliable deployment.</li><li>
Implement monitoring dashboards, drift detection, and performance alerts.</li></ul>
4. Documentation, Training &amp; Academic Output<ul><li>
Prepare technical documentation, API specifications, and system user guides.</li><li>
Contribute to case studies, final reports, and academic publications/patents.</li></ul>
Qualifications:

Qualifications:<ul><li>
Educational Background:</li><li><div><ul><li>
Ph.D. in Computer Science, Operations Research, AI, or a related field, OR</li><li>
Master&rsquo;s degree in Computer Science/Engineering with at least 3 years of experience in optimization, recommender systems, or reinforcement learning.</li></ul></div></li><li>
Technical Expertise:</li><li><div><ul><li>
Strong knowledge of reinforcement learning, optimization algorithms, and recommender systems.</li><li>
Experience with simulation and A/B testing methodologies.</li><li>
Familiarity with knowledge graphs, session-based recommendation, and personalization techniques.</li><li>
Proficiency in deploying ML models as microservices and applying MLOps best practices</li></ul></div></li><li>
Programming Skills:
</li><li><div><ul><li>Strong programming skills in languages such as Python or R.</li><li>
Familiarity with machine learning libraries and frameworks (e.g., Scikit-Learn, TensorFlow, PyTorch) is a must.</li></ul></div></li><li>
Analytical Skills/ Communication Skills:</li><li><div><ul><li>
Ability to design, prototype, and validate optimization and recommendation algorithms.</li><li>
Strong documentation and presentation skills for both technical and non-technical stakeholders.</li></ul></div></li><li>
Team Collaboration: Proven experience working in collaborative team environments and managing multiple tasks effectively.</li></ul></div>

<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>
 Work with asset (OT/IT) integration team and data platform team on data conversion/management and interface control (API, OT protocols, etc).
 </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 technical manager and technical leads (offshore) to come up with technical design for module requirements.
 </li>
 <li>
 Survey asset integration interfaces to define interface control design documentations.
 </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 to IT &amp; OT Systems.
 </li>
 <li>
 Integrate with IT &amp; OT Systems.
 </li>
 <li>
 Integrate 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 system engineers to conduct sites test and commissioning of asset data integration onto the company&rsquo;s products.
 </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/or public cloud).
 </li>
 <li>
 Experienced with IOT and/or SCADA system 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 – Unified Assets (Qatar)

QatarEnergy

<div>
 
 Primary Purpose Of The Job
 
 
 
 The Senior Digital Architect is responsible for designing, implementing, and maintaining Cloud digital platforms across the organization. This role focuses on enhancing enterprise analytics capabilities by integrating AI/ML models, emerging technologies, and large-scale data processing frameworks to drive data-driven decision-making and operational efficiency. Additionally, the digital architect will collaborate with business and technical teams to accelerate digital transformation, streamline data governance, and adopt emerging technologies to drive continuous innovation.
 
 
 
 Principle Accountabilities
 
 
 
 <ul>
 <li>
 Design scalable, secure, and cloud-native architecture frameworks for AI/ML solutions, including MLOps pipelines, model deployment infrastructure, and integration patterns.
 </li>
 <li>
 Establish architectural guidelines for implementing generative AI solutions, including safety measures and ethical considerations.
 </li>
 <li>
 Design scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.
 </li>
 <li>
 Define technical standards for model deployment, monitoring, and maintenance.
 </li>
 <li>
 Identify and evaluate industry-specific data and AI platforms, Auto-ML tools to fit business use cases and derive value.
 </li>
 <li>
 Partner with business stakeholders to understand requirements and translate them into technical solutions
 </li>
 <li>
 Establish governance frameworks for AI model lifecycle management
 </li>
 <li>
 Assess technical and Information security risks and provide mitigation strategies in the implementation of digital solutions
 </li>
 <li>
 Audit AI tools and practices across data, models and engineering, focusing on continuous improvement and feedback mechanisms.
 </li>
 <li>
 Provide strategic and technical guidance to stakeholders regarding digital solutions, cloud architecture, and platform optimizations.
 </li>
 <li>
 Stay updated on emerging technologies and apply cloud-native, AI/ML-driven solutions, automation tools to foster innovation in business processes.
 
 
 </li>
 </ul>
 
 Required Experience And Skills
 
 
 
 
 AI/ML Expertise
 
 
 
 <ul>
 <li>
 8+ years of experience in digital solution architecture, with at least 5 years focusing on AI/ML solutions preferably in the Energy Sector.
 </li>
 <li>
 Proven track record of designing and implementing enterprise-scale AI/ML architecture/solutions.
 </li>
 <li>
 5+ years of experience with AI/ML frameworks (TensorFlow, PyTorch, etc.) and AI model deployment.
 </li>
 <li>
 Proficient in large language models and generative AI implementations.
 </li>
 <li>
 Experience in prompt engineering, RAG, and fine-tuning to optimize model performance and response accuracy.
 </li>
 <li>
 Experienced with real-time ML systems and edge computing.
 
 
 </li>
 </ul>
 
 MLOps and DataOps
 
 
 
 <ul>
 <li>
 Strong knowledge of MLOps practices and tools.
 </li>
 <li>
 Proficiency in MLOps and DataOps methodologies, including CI/CD pipelines, ML model monitoring, and automation.
 </li>
 <li>
 Experience with DevOps, serverless computing, and containerization (Docker, OpenShift, Kubernetes).
 
 
 </li>
 </ul>
 
 Cloud and Architecture
 
 
 
 <ul>
 <li>
 Strong expertise in one of the cloud computing platforms (Azure, GCP), cloud services (SaaS, PaaS, DaaS), and microservices-driven architectures.
 </li>
 <li>
 Experience in designing scalable architectures for packaging AI/ML models as production-ready APIs or custom applications/microservices.
 </li>
 <li>
 Working knowledge of system integration approaches, modern data architectures, and cloud-native application design.
 
 
 </li>
 </ul>
 
 Governance and Compliance
 
 
 
 <ul>
 <li>
 In-depth understanding of data governance frameworks, cybersecurity principles, regulatory compliance, and AI ethics in enterprise settings.
 </li>
 <li>
 Knowledgeable in AI/ML regulatory compliance.
 
 
 </li>
 </ul>
 
 Communication and Collaboration
 
 
 
 Excellent communication skills to effectively collaborate with business, technical, and product teams and translate complex technical requirements into actionable solutions
 
 
 
 Educational Qualifications
 
 
 
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 <li>
 A degree in Information Management, Engineering, or a technology related field, demonstrating strong analytical and quantitative skills.
 </li>
 <li>
 Advanced degrees (Master's or PhD) in Data Science, Applied Machine Learning, Computer Science, or Statistics is highly desirable
 </li>
 </ul>
</div>

SR. DIGITAL ARCHITECT

Explore 358+ Microservices engineer in Qatar Moph License Jobs In Qatar Moph License Jobs In Doha this January. Find roles across top companies and apply now to boost your career.

358 microservices engineer jobs IN Qatar Moph License Jobs In Qatar Moph License Jobs In Doha

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SR. DIGITAL ARCHITECT