Engineering Jobs - Doha Qatar

Role Description As a Survey Engineer, you will perform field and office-based survey work to support infrastructure, land development, and construction projects. This full-time, on-site role is based in Doha, Qatar. Day-to-day responsibilities include planning and conducting land and engineering surveys, setting out works, collecting accurate field data using total stations, GPS, and other surveying instruments, and ensuring proper data recording and documentation. You will collaborate with project managers, civil engineers, and CAD technicians to translate survey data into detailed drawings, reports, and digital models. <br>Qualifications Strong technical proficiency in Land Surveying and Civil Engineering for infrastructure and construction projects. Hands-on experience with Computer-Aided Design (CAD) & Civil 3D tools for preparing and reviewing survey drawings and plans. Proven Supervisory Skills to lead and coordinate survey crews and manage on-site activities. Experience in Inspection of survey work, site conditions, and as-built verification to ensure accuracy and compliance. Bachelor’s degree in Surveying Engineering, Civil Engineering, Geomatics, or a related field. Familiarity with GPS, total stations, leveling instruments, and relevant surveying software. Strong attention to detail, numerical accuracy, and problem-solving abilities. Effective communication skills in English & Arabic; ability to work collaboratively in multicultural teams. Prior experience in the Qatar and knowledge of local standards and regulations is an advantage.<br>Company Description Survey Technologies (STS), established in May 2015 in Qatar, is an MM Class A Surveying Engineering company providing advanced geomatics and spatial data solutions across the Gulf region. The company delivers specialized services in land surveying and mapping, mobile mapping with GPS integration, and 3D laser scanning and UAV mapping. STS also supports infrastructure development through road surveying, underground utility detection, and urban and zoning surveys. Additional capabilities include GIS design and implementation, as well as environmental and ecological studies. Driven by technology and precision, STS contributes to smart decision-making for Qatar’s infrastructure growth and sustainability goals.

Job Description<br><br>Must Have<br><br> 4+ years of software or machine-learning engineering experience, including hands-on experience deploying models to production. Demonstrated track record operationalizing models developed by data scientists into reliable, scalable, and observable production systems. Production experience with classical machine-learning workloads — distinct from generative-AI application development. Strong collaboration skills across data science, software engineering, and platform teams. Commitment to building reliable, well-engineered, and maintainable systems. <br><br>Nice to Have<br><br> Experience with feature stores and large-scale or streaming data pipelines. Knowledge of infrastructure-as-code (e.g., Terraform) and cloud cost optimization. Experience with workflow orchestration tools (e.g., Apache Airflow). Familiarity with model-serving frameworks and API design for inference. Light exposure to generative-AI or LLM deployment. Experience operating systems in a regulated or enterprise environment. Cloud or MLOps certifications. <br><br>Responsibilities<br><br> Build, deploy, and maintain production machine-learning pipelines, from data ingestion and feature processing through to model serving. Operationalize models developed by data scientists, ensuring reliability, scalability, reproducibility, and performance. Implement MLOps practices including CI/CD for machine learning, model versioning, automated retraining, and model registries. Design and maintain feature pipelines and, where relevant, feature stores. Set up monitoring and alerting for model performance, data drift, and system health, and respond to degradation. Optimize inference latency, throughput, and resource cost for deployed models. Containerize and orchestrate machine-learning workloads using Docker and Kubernetes on Oracle Cloud Infrastructure (OCI). Automate and harden data and model workflows to reduce manual intervention. Collaborate with data scientists on model handoff, packaging, and success metrics. Work with software engineers to integrate models into client-facing applications and services. Apply software-engineering best practices including testing, code review, and documentation to machine-learning systems. Troubleshoot and resolve production issues across the model-serving stack. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent experience accepted. Strong Python engineering skills and production experience with ML frameworks such as scikit-learn, Tensor Flow, or PyTorch. Hands-on experience with MLOps tooling (e.g., MLflow, Kubeflow) and CI/CD pipelines. Proficiency with containerization and orchestration (Docker, Kubernetes). Experience building and maintaining data pipelines and processing large datasets. Experience with cloud infrastructure, ideally Oracle Cloud Infrastructure (OCI) and OCI Data Science. Understanding of model monitoring, drift detection, and retraining strategies. Solid software-engineering fundamentals including testing and version control.

Job Description<br><br>Must Have<br><br> 3–5 years of software engineering experience, including hands-on experience building LLM or generative-AI features. Production experience with RAG pipelines, embeddings, and vector databases. Demonstrated ability to design, test, and refine prompts and orchestration logic for LLM-driven workflows. Focus on the generative-AI application layer — distinct from classical model training and MLOps. Enthusiasm for working with fast-moving generative-AI technologies. <br><br>Nice to Have<br><br> Exposure to OCI Generative AI services or other cloud AI platforms. Familiarity with agent frameworks and tool integration. Experience deploying applications to the cloud, ideally Oracle Cloud Infrastructure (OCI). Awareness of responsible-AI and safety considerations. Experience with vector database tuning and retrieval optimization. AI or cloud certifications. <br><br>Responsibilities<br><br> Develop generative-AI features and applications using large language models and foundation-model APIs. Implement retrieval-augmented generation (RAG) pipelines, including document processing, embeddings, and vector search. Design, test, and refine prompts and orchestration logic for LLM-driven workflows. Build and integrate agentic components, tool-calling, and multi-step flows. Integrate AI capabilities into applications and services, including OCI Generative AI services. Evaluate model outputs against quality criteria and implement guardrails and validation checks. Build evaluation sets and run experiments to compare prompts, models, and configurations. Collaborate with senior AI engineers and product teams to deliver working AI features. Iterate on solutions based on evaluation results, performance, and user feedback. Document AI components, prompts, and integration patterns for maintainability. Contribute to internal reusable components and accelerators for generative-AI delivery. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field; equivalent experience accepted. Proficiency in Python and experience with LLM frameworks (e.g., Lang Chain, Llama Index) and foundation-model APIs. Working knowledge of RAG, embeddings, and vector databases. Understanding of prompt engineering and orchestration techniques. Ability to evaluate and improve the quality and reliability of AI outputs. Solid general software-engineering skills, including version control and testing. Experience integrating APIs and building application features.

Note: This is a long-term, stable part-time job that supports remote work. Please read the recruitment requirements carefully and fill out the application form accurately. Thank you.<br>WHAT YOU NEED to Have Doctorate PhD or equivalent advanced degree in the subject area Has published at least 5 papers in SCI / SSCI journals within/during the past Three years Thorough understanding of research methodologies and ethical principles within the relevant discipline Excellent analytical and critical thinking skills Strong written communication skills, with the ability to provide clear, concise, and constructive feedback Ability to adhere to deadlines and manage time effectively Commitment to maintaining confidentiality and objectivity Prior experience as a peer reviewer for academic journals is highly desirable Familiarity with online manuscript submission and review systems<br>WHAT YOU WILL DOAssess Novelty: Evaluate whether the manuscript is original and adds new knowledge or insights to the field of study. Evaluate Study Design and Methodology: Check whether the study design and methods are appropriate, comprehensive, and clearly described to ensure reproducibility. Literature Review: Ensure the manuscript thoroughly incorporates and cites relevant, up-to-date research in the field. Analyse Results and Conclusions: Determine whether results are presented clearly and appropriately, and whether conclusions are supported by the data and significant to the field. Provide Constructive Feedback: Suggest improvements and highlight any flaws, omissions, or ethical concerns. Recommend Publication: Based on your evaluation, the journal editor will decide whether the manuscript should be accepted, revised, or rejected.

Required Network Engineer with 8+ years of Cisco Data Center Networking experience. Strong hands-on expertise in Cisco ACI including Nexus 9K hardware, leaf?spine fabric design and sizing, ACI policy model and APIC operations. Solid L3 routing skills (BGP, OSPF) and data center security concepts. Experience with automation using REST APIs, Terraform, and Ansible. In-depth knowledge of ACI logical objects such as tenants, VRFs, bridge domains, EPGs, contracts, L3Out design and implementation, and service graphs with PBR. Hands-on experience with F5 Application Delivery Controllers (LTM, APM) and enterprise firewalls including Palo Alto, Fortinet, and Check Point. Strong automation and scripting skills using IaC tools (Ansible, Terraform) and CI/CD pipelines with Git-based workflows. Proficient in Linux CLI, TCP/IP, DNS, load balancing, and monitoring tools such as Prometheus, Grafana, and ELK for proactive troubleshooting.

Primary Purpose Of The Job<br><br>Provide professional advice, expertise and practical assistance to OV organization<br><br>in managing OV Manpower Call-Off Contract, new tendering / contractual matters (if any)<br><br>from inception of tender scope preparation until closeout of contracts.<br><br>Required Experience And Skills<br><br>15 years multi-disciplinary experience, including 10 years in an oil & gas industry<br><br>or with major industrial structures in the preparation/evaluation/negotiation of<br><br>tenders/contracts of large scale contracts with complexity and diversity.<br><br>Educational Qualifications<br><br>BSc in Engineering Discipline or Quantity Surveying. A postgraduate qualification<br><br>in Contract Management or Project Management desirable.

Primary Purpose Of The Job<br><br>Perform comprehensive Project Planning / Scheduling, Progress monitoring / reporting and<br><br>Time Management functions. Prepare Cost Estimates / Budgets, Cost Forecast / Cost<br><br>Reports. Report monthly Value of Work Done (VOWD), Monthly Invoice Payment / Accruals<br><br>and highlight areas of concern for management consideration and action.<br><br>Required Experience And Skills<br><br>1- Expert knowledge in Planning, Scheduling and Cost Engineering activities including<br><br>Schedule preparation and Cost estimation at various phases of the Project.<br><br>2- Should be a great team player.<br><br>3- Should be proficient in spoken & written English.<br><br>4-Able to read / understand engineering drawings / work packs, well developed analytical<br><br>skills and very good knowledge of internationally acceptable norms.<br><br>5-Good computer skills and proficient user of PRIMAVERA (P6) / MS PROJECT<br><br>planning software, Excel, Power Point etc.<br><br>Educational Qualifications<br><br>Bachelor Degree in an Engineering Discipline, minimum of 10 years of experience in<br><br>Cost Engineering and Project Management in the Oil and Gas Industries and offshore<br><br>Projects.

Job Description<br><br>Must Have<br><br> 4+ years of software or machine-learning engineering experience, including hands-on experience deploying models to production. Demonstrated track record operationalizing models developed by data scientists into reliable, scalable, and observable production systems. Production experience with classical machine-learning workloads — distinct from generative-AI application development. Strong collaboration skills across data science, software engineering, and platform teams. Commitment to building reliable, well-engineered, and maintainable systems. <br><br>Nice to Have<br><br> Experience with feature stores and large-scale or streaming data pipelines. Knowledge of infrastructure-as-code (e.g., Terraform) and cloud cost optimization. Experience with workflow orchestration tools (e.g., Apache Airflow). Familiarity with model-serving frameworks and API design for inference. Light exposure to generative-AI or LLM deployment. Experience operating systems in a regulated or enterprise environment. Cloud or MLOps certifications. <br><br>Responsibilities<br><br> Build, deploy, and maintain production machine-learning pipelines, from data ingestion and feature processing through to model serving. Operationalize models developed by data scientists, ensuring reliability, scalability, reproducibility, and performance. Implement MLOps practices including CI/CD for machine learning, model versioning, automated retraining, and model registries. Design and maintain feature pipelines and, where relevant, feature stores. Set up monitoring and alerting for model performance, data drift, and system health, and respond to degradation. Optimize inference latency, throughput, and resource cost for deployed models. Containerize and orchestrate machine-learning workloads using Docker and Kubernetes on Oracle Cloud Infrastructure (OCI). Automate and harden data and model workflows to reduce manual intervention. Collaborate with data scientists on model handoff, packaging, and success metrics. Work with software engineers to integrate models into client-facing applications and services. Apply software-engineering best practices including testing, code review, and documentation to machine-learning systems. Troubleshoot and resolve production issues across the model-serving stack. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent experience accepted. Strong Python engineering skills and production experience with ML frameworks such as scikit-learn, Tensor Flow, or PyTorch. Hands-on experience with MLOps tooling (e.g., MLflow, Kubeflow) and CI/CD pipelines. Proficiency with containerization and orchestration (Docker, Kubernetes). Experience building and maintaining data pipelines and processing large datasets. Experience with cloud infrastructure, ideally Oracle Cloud Infrastructure (OCI) and OCI Data Science. Understanding of model monitoring, drift detection, and retraining strategies. Solid software-engineering fundamentals including testing and version control.

Required Network Engineer with 8+ years of Cisco Data Center Networking experience. Strong hands-on expertise in Cisco ACI including Nexus 9K hardware, leaf?spine fabric design and sizing, ACI policy model and APIC operations. Solid L3 routing skills (BGP, OSPF) and data center security concepts. Experience with automation using REST APIs, Terraform, and Ansible. In-depth knowledge of ACI logical objects such as tenants, VRFs, bridge domains, EPGs, contracts, L3Out design and implementation, and service graphs with PBR. Hands-on experience with F5 Application Delivery Controllers (LTM, APM) and enterprise firewalls including Palo Alto, Fortinet, and Check Point. Strong automation and scripting skills using IaC tools (Ansible, Terraform) and CI/CD pipelines with Git-based workflows. Proficient in Linux CLI, TCP/IP, DNS, load balancing, and monitoring tools such as Prometheus, Grafana, and ELK for proactive troubleshooting.

Job Description<br><br>Must Have<br><br> 3–5 years of software engineering experience, including hands-on experience building LLM or generative-AI features. Production experience with RAG pipelines, embeddings, and vector databases. Demonstrated ability to design, test, and refine prompts and orchestration logic for LLM-driven workflows. Focus on the generative-AI application layer — distinct from classical model training and MLOps. Enthusiasm for working with fast-moving generative-AI technologies. <br><br>Nice to Have<br><br> Exposure to OCI Generative AI services or other cloud AI platforms. Familiarity with agent frameworks and tool integration. Experience deploying applications to the cloud, ideally Oracle Cloud Infrastructure (OCI). Awareness of responsible-AI and safety considerations. Experience with vector database tuning and retrieval optimization. AI or cloud certifications. <br><br>Responsibilities<br><br> Develop generative-AI features and applications using large language models and foundation-model APIs. Implement retrieval-augmented generation (RAG) pipelines, including document processing, embeddings, and vector search. Design, test, and refine prompts and orchestration logic for LLM-driven workflows. Build and integrate agentic components, tool-calling, and multi-step flows. Integrate AI capabilities into applications and services, including OCI Generative AI services. Evaluate model outputs against quality criteria and implement guardrails and validation checks. Build evaluation sets and run experiments to compare prompts, models, and configurations. Collaborate with senior AI engineers and product teams to deliver working AI features. Iterate on solutions based on evaluation results, performance, and user feedback. Document AI components, prompts, and integration patterns for maintainability. Contribute to internal reusable components and accelerators for generative-AI delivery. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field; equivalent experience accepted. Proficiency in Python and experience with LLM frameworks (e.g., Lang Chain, Llama Index) and foundation-model APIs. Working knowledge of RAG, embeddings, and vector databases. Understanding of prompt engineering and orchestration techniques. Ability to evaluate and improve the quality and reliability of AI outputs. Solid general software-engineering skills, including version control and testing. Experience integrating APIs and building application features.

Job Description<br><br>Must Have<br><br> 4+ years of software or machine-learning engineering experience, including hands-on experience deploying models to production. Demonstrated track record operationalizing models developed by data scientists into reliable, scalable, and observable production systems. Production experience with classical machine-learning workloads — distinct from generative-AI application development. Strong collaboration skills across data science, software engineering, and platform teams. Commitment to building reliable, well-engineered, and maintainable systems. <br><br>Nice to Have<br><br> Experience with feature stores and large-scale or streaming data pipelines. Knowledge of infrastructure-as-code (e.g., Terraform) and cloud cost optimization. Experience with workflow orchestration tools (e.g., Apache Airflow). Familiarity with model-serving frameworks and API design for inference. Light exposure to generative-AI or LLM deployment. Experience operating systems in a regulated or enterprise environment. Cloud or MLOps certifications. <br><br>Responsibilities<br><br> Build, deploy, and maintain production machine-learning pipelines, from data ingestion and feature processing through to model serving. Operationalize models developed by data scientists, ensuring reliability, scalability, reproducibility, and performance. Implement MLOps practices including CI/CD for machine learning, model versioning, automated retraining, and model registries. Design and maintain feature pipelines and, where relevant, feature stores. Set up monitoring and alerting for model performance, data drift, and system health, and respond to degradation. Optimize inference latency, throughput, and resource cost for deployed models. Containerize and orchestrate machine-learning workloads using Docker and Kubernetes on Oracle Cloud Infrastructure (OCI). Automate and harden data and model workflows to reduce manual intervention. Collaborate with data scientists on model handoff, packaging, and success metrics. Work with software engineers to integrate models into client-facing applications and services. Apply software-engineering best practices including testing, code review, and documentation to machine-learning systems. Troubleshoot and resolve production issues across the model-serving stack. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, or a related field; equivalent experience accepted. Strong Python engineering skills and production experience with ML frameworks such as scikit-learn, Tensor Flow, or PyTorch. Hands-on experience with MLOps tooling (e.g., MLflow, Kubeflow) and CI/CD pipelines. Proficiency with containerization and orchestration (Docker, Kubernetes). Experience building and maintaining data pipelines and processing large datasets. Experience with cloud infrastructure, ideally Oracle Cloud Infrastructure (OCI) and OCI Data Science. Understanding of model monitoring, drift detection, and retraining strategies. Solid software-engineering fundamentals including testing and version control.

Job Description<br><br>Must Have<br><br> 3–5 years of software engineering experience, including hands-on experience building LLM or generative-AI features. Production experience with RAG pipelines, embeddings, and vector databases. Demonstrated ability to design, test, and refine prompts and orchestration logic for LLM-driven workflows. Focus on the generative-AI application layer — distinct from classical model training and MLOps. Enthusiasm for working with fast-moving generative-AI technologies. <br><br>Nice to Have<br><br> Exposure to OCI Generative AI services or other cloud AI platforms. Familiarity with agent frameworks and tool integration. Experience deploying applications to the cloud, ideally Oracle Cloud Infrastructure (OCI). Awareness of responsible-AI and safety considerations. Experience with vector database tuning and retrieval optimization. AI or cloud certifications. <br><br>Responsibilities<br><br> Develop generative-AI features and applications using large language models and foundation-model APIs. Implement retrieval-augmented generation (RAG) pipelines, including document processing, embeddings, and vector search. Design, test, and refine prompts and orchestration logic for LLM-driven workflows. Build and integrate agentic components, tool-calling, and multi-step flows. Integrate AI capabilities into applications and services, including OCI Generative AI services. Evaluate model outputs against quality criteria and implement guardrails and validation checks. Build evaluation sets and run experiments to compare prompts, models, and configurations. Collaborate with senior AI engineers and product teams to deliver working AI features. Iterate on solutions based on evaluation results, performance, and user feedback. Document AI components, prompts, and integration patterns for maintainability. Contribute to internal reusable components and accelerators for generative-AI delivery. <br><br>Qualifications<br><br> Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related field; equivalent experience accepted. Proficiency in Python and experience with LLM frameworks (e.g., Lang Chain, Llama Index) and foundation-model APIs. Working knowledge of RAG, embeddings, and vector databases. Understanding of prompt engineering and orchestration techniques. Ability to evaluate and improve the quality and reliability of AI outputs. Solid general software-engineering skills, including version control and testing. Experience integrating APIs and building application features.

Required Network Engineer with 8+ years of Cisco Data Center Networking experience. Strong hands-on expertise in Cisco ACI including Nexus 9K hardware, leaf?spine fabric design and sizing, ACI policy model and APIC operations. Solid L3 routing skills (BGP, OSPF) and data center security concepts. Experience with automation using REST APIs, Terraform, and Ansible. In-depth knowledge of ACI logical objects such as tenants, VRFs, bridge domains, EPGs, contracts, L3Out design and implementation, and service graphs with PBR. Hands-on experience with F5 Application Delivery Controllers (LTM, APM) and enterprise firewalls including Palo Alto, Fortinet, and Check Point. Strong automation and scripting skills using IaC tools (Ansible, Terraform) and CI/CD pipelines with Git-based workflows. Proficient in Linux CLI, TCP/IP, DNS, load balancing, and monitoring tools such as Prometheus, Grafana, and ELK for proactive troubleshooting.

Dear Candidate,Greetings from Brunel Energy. We are currently hiring for an OT Cyber Security Engineer for a well-known Oil & Gas company in Qatar. Position: OT Cyber Security Engineer Location: Qatar Employment Type: Permanent Work Schedule: 8 Hours / 5 Days per Week<br>Bachelor’s degree in automation and control systems, industrial control system, Cyber Security, or computer science engineering. Knowledge and/or Experience4 years’ experience in engineering in oil and gas environment. Understanding of different operational technologies environment for example DCS, SIS, metering, machinery monitoring / controls systems, and Instrument asset management systems. Understanding of OT Infrastructure communication and protocols. Knowledge of OT Cyber Security Infrastructure and solutions such as Endpoint Protection Platforms, Industrial Networks and boundaries protection, OT IDS, SIEM, Authentication and Access control, etc. Familiar with industry- specific regulations and standards that impact Operational Technology Cyber Security such us (IEC, ISA, NIST, ISO).<br>Interested relevant candidate may share the resume on r.rohit@brunel.net with the below following details:-<br>Full Name as per Passport:Date of Birth:Nationality:Highest Educational Qualification:Direct Mobile / Whats App Number:Marital Status:Dependents:MS Teams ID:Notice Period:Current Location:Point of Origin:Current Salary:Expected Salary:<br>Please confirm the following:Do you have 4+ years of Oil & Gas engineering experience, with substantial experience in OT/ICS Cyber Security? - Have you worked hands-on with DCS, SIS, PLC, SCADA, or other Industrial Control Systems, rather than exclusively in IT Cyber Security? - Do you have experience designing or supporting OT network architecture, network segmentation, industrial firewalls, OT IDS, and secure OT infrastructure? - Have you supported FAT/SAT, commissioning, incident management, troubleshooting, and project execution for OT Cyber Security systems? - <br><br>Regards,Rohit Brunel

???? Welcome to Your Next Adventure!<br><br>???? What You’ll Get Your Hands On<br><br>Create new features in product teams Take part in project technical backlog planning and development Work using scrum-like process, quickly evolving with all team members feedback Use english in your every day communications Make and feel your value for product development<br><br>About Our Project And Team<br><br>Current app version development started in Q3 ‘21 from scratch with modern tech stack100% written in Swift Our minimum supported i OS version is i OS 16, and we update this target regularly. Multi-module structured using Tuist Experimenting with Swift UIUsing modern development process based on trunk-based development Open to experiments with new technologies, for example now we’re experimenting with Swift UI and Kotlin multiplatform mobile<br><br>????‍♂️ The Magic You Bring<br><br>2+ years of experience in native(using Swift/Objective-C) i OS development Understanding of base Swift/Objective-C principles and tools such as standard collections, multithreading, memory management Experience in creating pixel-perfect custom views Understanding Clean Architecture Understanding of http protocol Experience with git Knowledge of OOP patterns Intermediate english - you have enough language level if you can read this vacancy description and tell about your working experience without a dictionary<br><br>✨ Bonus Points If You Have<br><br>Experience in writing unit tests Experience with trunk-based development Experience with VIPER pattern Experience with Moya and Alamofire Experience with CI configuration Experience with Kotlin multiplatform, Compose multiplatform Experience with trunk based development<br><br>Inside Snoonu’s Universe<br><br>Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.<br><br>The Dream We’re Chasing<br><br>To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br> Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br> Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br> Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br> Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br> It's All About People: “Be a team player; together we are stronger.”<br><br>Real Builders Ship: “We turn ideas into products, plans into action, and challenges into opportunities.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.<br><br>Certified for Excellence<br><br>Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.<br><br>Beyond the Code: Giving Back Matters<br><br>We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.<br><br>Diversity Isn’t Just a Buzzword<br><br>At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!

Location: Doha, Qatar (On-site)<br>Nationality: Any<br>Experience: 8-5 Years<br>Employment Type: Full-Time About the Role Kal Soft is looking for an experienced Senior Oracle Solaris Engineer to operate, secure, and modernize Oracle Solaris and SPARC environments supporting critical government systems. The role covers day-to-day administration, patching, compliance, and leading upgrade or migration projects for environments approaching support deadlines. Key Responsibilities Administer Oracle Solaris 10, 11.3, and 11.4 environments, including SRU patching and lifecycle management Manage SPARC infrastructure, including T/M-series servers, Oracle VM Server for SPARC (LDoms), ILOM, and firmware Configure and support Solaris Zones, Kernel Zones, ZFS storage, SMF services, and IPS packaging Operate high-availability clusters using Oracle Solaris Cluster or Veritas Info Scale and support Oracle Database workloads Assess end-of-support exposure and lead upgrades to Solaris 11.4 or migrations to Oracle Linux / RHELHarden systems against the NIA Standard and client security baselines, and remediate audit and vulnerability findings Automate routine operations using Shell, Python, and Ansible, while maintaining runbooks and disaster recovery procedures Provide L3 incident and problem management, including on-call support for critical systems Required Qualifications Minimum 5+ years of hands-on Solaris administration experience in production enterprise environments Strong experience with SPARC hardware and virtualization (LDoms) Deep knowledge of ZFS, Zones, SMF, DTrace, and Solaris networking Experience with clustering and disaster recovery for business-critical workloads Proven experience delivering at least one Solaris upgrade or Solaris-to-Linux migration project Strong troubleshooting, analytical, and problem-solving skills Ability to work in enterprise production environments supporting critical systems Preferred Qualifications Oracle Certified Associate / Professional – Oracle Solaris certification RHEL (RHCSA/RHCE) or Oracle Linux certification Experience with Oracle Database on SPARC and Oracle Exadata/Super Cluster Experience in telecom or banking back-office environments in the GCC

Location: Doha, Qatar (On-site)<br>Nationality: Any<br>Experience: 8-5 Years<br>Employment Type: Full-Time About the Role Kal Soft is looking for a Senior BPM Engineer to design, build, and operate process automation solutions for government e-services using Camunda 8. The role will also support clients migrating from Camunda 7 to Camunda 8 and will involve ownership of workflow design through production support. The ideal candidate will work closely with business analysts, integration teams, and client stakeholders to deliver scalable and reliable process automation solutions. Key Responsibilities Model and implement BPMN 2.0 workflows and DMN decision tables for citizen and business e-services Develop job workers and process applications using Java / Spring Boot. Experience with Node.js will be an advantage Integrate workflows with government back-end systems, national identity/authentication services, and payment gateways using REST, g RPC, and messaging technologies such as Kafka Deploy, configure, and operate Camunda 8, including Zeebe, Operate, Tasklist, Optimize, and Connectors, on Kubernetes in on-premise or in-country cloud environments Lead Camunda 7 to Camunda 8 migration assessments and execution for legacy workloads Define and monitor process SLAs and troubleshoot incidents, bottlenecks, and failed process instances Build automated process tests and CI/CD pipelines while enforcing code quality and security standards Mentor junior developers and contribute to solution architecture and project estimation Required Qualifications Minimum 5+ years of hands-on Camunda experience, including production delivery using Camunda 8 / Zeebe Strong experience with Java and Spring Boot Solid experience in REST API development and integration design Experience with Docker, Kubernetes, and CI/CD tools such as Azure Dev Ops, Git Lab, or Jenkins Understanding of Identity and Access Management (IAM) concepts, including OAuth2/OIDC and Keycloak or equivalent technologies Proven experience delivering at least two end-to-end workflow automation programs for enterprise or government clients Strong understanding of BPMN-based process automation and enterprise workflow solutions Excellent problem-solving and troubleshooting skills Strong communication and collaboration skills for working with technical teams, business analysts, and client stakeholders Preferred Qualifications Camunda Certified Professional certification (Developer or Architect) Previous experience with Camunda 7 to Camunda 8 migration Exposure to agentic / AI-assisted orchestration on Camunda Experience with payment or case-management processes in the GCC public sector Experience with Node.js will be an added advantage

Dear Candidate,Greetings from Brunel Energy. We are currently hiring for an OT Cyber Security Engineer for a well-known Oil & Gas company in Qatar. Position: OT Cyber Security Engineer Location: Qatar Employment Type: Permanent Work Schedule: 8 Hours / 5 Days per Week<br>Bachelor’s degree in automation and control systems, industrial control system, Cyber Security, or computer science engineering. Knowledge and/or Experience4 years’ experience in engineering in oil and gas environment. Understanding of different operational technologies environment for example DCS, SIS, metering, machinery monitoring / controls systems, and Instrument asset management systems. Understanding of OT Infrastructure communication and protocols. Knowledge of OT Cyber Security Infrastructure and solutions such as Endpoint Protection Platforms, Industrial Networks and boundaries protection, OT IDS, SIEM, Authentication and Access control, etc. Familiar with industry- specific regulations and standards that impact Operational Technology Cyber Security such us (IEC, ISA, NIST, ISO).<br>Interested relevant candidate may share the resume on r.rohit@brunel.net with the below following details:-<br>Full Name as per Passport:Date of Birth:Nationality:Highest Educational Qualification:Direct Mobile / Whats App Number:Marital Status:Dependents:MS Teams ID:Notice Period:Current Location:Point of Origin:Current Salary:Expected Salary:<br>Please confirm the following:Do you have 4+ years of Oil & Gas engineering experience, with substantial experience in OT/ICS Cyber Security? - Have you worked hands-on with DCS, SIS, PLC, SCADA, or other Industrial Control Systems, rather than exclusively in IT Cyber Security? - Do you have experience designing or supporting OT network architecture, network segmentation, industrial firewalls, OT IDS, and secure OT infrastructure? - Have you supported FAT/SAT, commissioning, incident management, troubleshooting, and project execution for OT Cyber Security systems? - <br><br>Regards,Rohit Brunel

SR. COMMISSIONING ENGINEER (INSTRUMENTATION)<br><br>Mandatory Qualification<br><br>B. Sc. in an Engineering Discipline with extensive experience in commissioning of oil and gas projects.<br><br>Experience<br><br>Minimum of twelve (12) years’ experience in design, construction, commissioning, and start-up of oil & gas processing plants and preferably offshore with EPIC contracting companies of which a minimum eight (8) years Commissioning Coordinator/Team Leader.<br><br>Primary Duties And Responsibilities<br><br>Responsible for pre-commissioning, commissioning, and start-up of facilities in projects in accordance with company procedures and guidelines in place. To define, mobilize and manage an organization which will cover the preparation and the execution of commissioning. To manage the preparation of project specific pre-commissioning/commissioning procedures and reporting tools (including technical database when applicable, planning, punch list control). To manage the execution of commissioning to achieve maximum productivity, minimize cost and achieve smooth hand over. To supervise the reporting of commissioning execution to ensure that all technical, and contractual information is properly recorded, collected and available for inspection/reference as required by regulations and company procedures/policies. To supervise the schedule of commissioning in order to reach the planned end date. To co-ordinate with other project entities/existing facilities. To ensure the project commissioning and handover process is implemented in compliance with company procedures and guidelines. To promote HSE behaviour within the commissioning activities and verify that HSE procedures are implemented by commissioning team. Improve company commissioning procedures, initiate and contribute to the commissioning deliverables standardization, develop strategy to minimize offshore commissioning and minimize lost time due to interfaces. Develop commissioning strategy and provide input to the project execution plan and early stages of engineering. Responsible for the review and the approval of the various commissioning preparation tasks to be performed by the Contractor: work breakdown structure, priorities, resources, schedule, etc. Review and approve the commissioning management procedures (hand over, checklists, interfaces, punch list, internal organisation, and sign-off certificates). Review and approve the commissioning dossiers prepared by the Contractor (including database populating and operational test procedures writing). Coordinate activities of the company commissioning team (system engineers, discipline supervisors, planning/punch list controller, Asset Holder). Identify and address all interface issues with other project packages with respect to commissioning. Prepare overall commissioning plan and obtain approval for the same in consultation with Asset Holder. Responsible to check and endorse mechanical completion. Responsible for witnessing and monitoring the pre-commissioning activities performed by the Contractor. Countersign all pre-commissioning dossiers at Ready For Commissioning (RFC) status. Control all commissioning activities performed by the Contractor and its reporting. Check progress against planning and recommend any necessary corrective actions, close follow up on punch list with Contractor and Asset Holder. Coordinate with Contractor/Vendors to solve system/equipment performance problems. Review and approve the commissioning dossiers after completion of commissioning activities and sign the Ready for Start Up and hand over certificates. Participate and contribute to all safety design review and studies.<br><br>Interested candidates are encouraged to send their CV to mahirah.marisa@airswift.com<br><br>Referrals are welcome too—feel free to share this opportunity with qualified professionals in your network.

???? Welcome to Your Next Adventure!<br><br>???? What You’ll Get Your Hands On<br><br>Own the architecture, customization, and maintenance of our Salesforce platform to support operations, sales, support, and marketing teams. Design and implement scalable solutions in Salesforce Service Cloud, including case management workflows, automation rules, and integrations. Collaborate cross-functionally with engineering, product, and business teams to design solutions that align with both technical and operational goals. Build and maintain APIs and external integrations between Salesforce and other internal systems (e.g., chat platforms, CRMs, data platforms). Ensure high-quality code through best practices in Apex, Lightning Components, SOQL, and Flow Builder. Develop and enforce data governance, access control, and user role strategies across the Salesforce instance. Identify inefficiencies in existing workflows and implement automation using Flows, and custom Apex triggers. Troubleshoot and resolve system issues, bugs, and performance bottlenecks. Maintain comprehensive documentation for technical decisions, customizations, and business logic implemented in Salesforce. Provide mentorship and guidance to junior Salesforce admins and developers as needed<br><br>????‍♂️ The Magic You Bring<br><br>Bachelor’s degree in Computer Science, Information Systems, or a related field. Salesforce Platform Developer I (required) and Platform Developer II (preferred) certifications. Expertise in Salesforce Service Cloud, Apex, Lightning Components, SOQL, and REST/SOAP API integrations. Proven experience building custom objects, workflows, validation rules, triggers, and advanced automation. Solid understanding of user management, permission sets, role hierarchies, and data sharing models. Experience with Salesforce deployment tools (Change Sets, SFDX, CI/CD pipelines). Strong troubleshooting skills with the ability to diagnose and resolve complex system issues. Experience working in Agile environments and collaborating closely with cross-functional teams. Experience integrating Salesforce with customer service tools (e.g., Zendesk, Intercom, Evalu Agent). Familiarity with Slack API, messaging platforms, or chatbot integrations with Salesforce. Prior experience in a high-growth startup or scaling environment. Understanding of data synchronization between Salesforce and BI platforms. Proficiency in using tools like Miro, Lucidchart, or Draw.io for systems design and process mapping. Ability to translate business needs into technical solutions with a customer-first mindset. Experience with AWS<br><br>Inside Snoonu’s Universe<br><br>Snoonu is Qatar’s homegrown Super App, reinventing daily life with blazing-fast delivery, shopping, and more – all in one place. Powered by tech, driven by a global team, and obsessed with making life easier.<br><br>The Dream We’re Chasing<br><br>To be the first Qatari Ultra App that propels the region and its community through innovation and technology. We have global ambitions where what we do surpasses norms and limitations every time.<br><br>The Quest We’re On<br><br>To radically transform how people live by leveraging technology to connect them with endless possibilities.<br><br>Our Everyday Superpowers<br><br> Be Customer Obsessed: “Focus on the customer and all else will follow.”<br><br> Act with Integrity: “We are honest, ethical, and trustworthy in everything we do.”<br><br> Be Curious and Creative: “We constantly innovate and create solutions to bring a lasting positive impact.”<br><br>Lead by Example and Take Ownership: “Be the change you want to see and take ownership.”<br><br> Work Smart and Deliver Results: “You can do more by doing less, better, and faster.”<br><br> It's All About People: “Be a team player; together we are stronger.”<br><br>Real Builders Ship: “We turn ideas into products, plans into action, and challenges into opportunities.”<br><br>Perks & Worklife Magic At Snoonu<br><br>???? Global Vibes – Collaborate with a worldwide crew.<br><br>???? Brain Boosters – Learning budgets, access to courses, and tools for your growth.<br><br>???? Builder’s Playground – Own your tasks, own your path! We’re big on autonomy.<br><br>????️ Flexible Time Off – We take recharging seriously. Generous leave and wellness policies.<br><br>????️ Agile Everything – Scrum isn’t a buzzword here. It’s how we roll, from product to ops.<br><br>Great Place to Work® Certified<br><br>We’re certified as a Great Place to Work®, a recognition that celebrates a culture we’ve built together where people come first, always. This certification reflects our commitment to creating a workplace where everyone feels valued, empowered, and inspired to do their best work.<br><br>Certified for Excellence<br><br>Our ISO 9001:2015 and ISO 45001:2018 certifications demonstrate our dedication to world-class quality and a safe, supportive workplace, reinforcing our promise to deliver exceptional service while prioritizing the wellbeing of our people.<br><br>Beyond the Code: Giving Back Matters<br><br>We don’t just build apps. We’re committed to doing business sustainably and giving back to the community that fuels us. From eco-conscious practices to CSR projects, we’re always finding ways to do better—and we invite you to be a part of that mission.<br><br>Diversity Isn’t Just a Buzzword<br><br>At Snoonu, fairness and inclusion are the foundation of everything we do. We’re proud to be an equal opportunity workplace that welcomes people from every walk of life. Be bold. Be you. Thrive here.<br><br>Let’s Build the Future Together<br><br>Apply now to join a team where your contributions spark a change and your voice is heard. Let’s make some magic together.<br><br>Stay in the loop—connect with us on Linked In!