وظائف مهندس تفتيش هندسي في السعودية

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>We are looking for the right people people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world s largest providers of products and services to the global energy industry.</p> <div> <div> <div> <b>Job Duties</b> </div> <div>Under general supervision, provides well site service to customers. Applies content learned through the formal training program in fluids chemistry, volume and hydraulics calculations, routine and specialized testing, separation equipment theory and application, and well site service delivery. Works directly with both fluids and equipment supervisors and technical professionals. Demonstrates advanced knowledge of company products and services, rig operations, and fluids, separation, and waste management technologies and related processes. Performs in a professional manner as a Halliburton representative, maintaining good working relationship with operator&amp;aposs representative and rig personnel. Conducts and interprets results of routine and specialized testing in order to provide technical solutions. Conducts the operation of some separation and waste management equipment and demonstrates understanding of how they affect overall fluid performance. Demonstrates advanced ability to adequately prepare and track inventory of palletized and bulk products and equipment spares at the rig site based on the drilling program and anticipated conditions. Demonstrates advanced ability to operate, maintain and optimize equipment including testing, separation, and waste management equipment. Complies with health, safety and environment regulations in all aspects of job performance. Mentors and helps in the development of junior employees. High school diploma or equivalent required. Completion of a Bachelor&amp;aposs Degree in STEM (Science, Technology, Engineering and Mathematics) or other related Bachelor&amp;aposs Degree program is preferred. Position also requires completion of Baroid Core Training Course at Halliburton or other industry recognized program and 2-4 years of fluids and separation equipment experience.</div> </div> <div> <div> <b>Qualifications</b> </div> <div> </div> </div> </div> <p> <b>Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation</b>.</p> <p> </p> <p> <b> <u>Location</u> </b> </p> <p>Jubail Highway Abu Hadria Exit, Al-Khobar, Al Khobar, 31952, Saudi Arabia</p> <p> </p> <p> <b> <u>Job Details</u> </b> </p> <p> <b>Requisition Number:</b> 209315 <br> <b>Experience Level: </b>Experienced Hire <br> <b>Job Family:</b> Operations <br> <b>Product Service Line: </b>Baroid <br> <b>Full Time / Part Time: </b>Full Time</p> <p> <b>Additional Locations for this position: </b> </p> <p> </p> <p> <u> <b>Compensation Information</b> </u> <br> Compensation is competitive and commensurate with experience.</p></div></section>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>• Deep technical experience on F5 advanced WAF • Identify and clean up unused or orphaned IP addresses on F5 BIG-IP load balancers to improve performance, efficiency, and manageability.<br> • Review, validate, and remove unused, duplicate, or obsolete firewall policies across HQ and DR data centers while maintaining security posture and compliance.<br> • Ensure firewall and load balancer changes are aligned with high availability (HA) and disaster recovery (DR) requirements.<br> Network &amp; Security Assessment • Perform a comprehensive assessment of all devices, applications, databases, and network components using public IP addresses.<br> • Analyze application, service, and security dependencies to determine the potential impact of IP, firewall, and load balancer changes.<br> • Classify firewall rules and DNS-related entries based on criticality, usage, activity level, and business relevance.<br> IP Addressing &amp; DNS Governance • Develop detailed cleanup and migration plans including sequencing, timelines, backups, and rollback procedures.<br> • Design and allocate private IP address ranges, ensuring compatibility with existing network and security architecture.<br> • Assess and analyze DNS records to identify unused, outdated, or invalid entries related to applications and security controls.<br> • Remove or update invalid, obsolete, or unnecessary DNS records while ensuring no impact on applications or end users.<br> Secure Execution &amp; Validation • Execute cleanup and migration activities in a secure, controlled, and auditable manner, ensuring uninterrupted service continuity.<br> • Coordinate with application, systems, SOC, and operations teams to align firewall rules, NAT, routing, DNS, and access controls.<br> • Perform post-change testing and validation to confirm service availability, security enforcement, and performance stability.<br> Governance, Review &amp; Documentation • Establish periodic review procedures for firewall rules, F5 configurations, IP addressing, and DNS records to ensure ongoing accuracy and security.<br> • Ensure cleanup activities do not negatively impact applications, services, or end users.<br> • Maintain comprehensive documentation for all activities, including changes implemented, issues encountered, root cause analysis, and approved remediation actions.<br> • Support audit, compliance, and regulatory requirements through proper documentation and change tracking.<br> • Strong hands-on experience with firewalls (NGFW), security policies, NAT, and access control management.<br> • Proven expertise in F5 BIG-IP (LTM), including VIPs, Self IPs, SNATs, and HA configurations.<br> • Solid understanding of enterprise IP addressing, DNS, routing, and network security architecture.<br> • Experience operating in HQ / DR, high-availability, and mission-critical environments.<br> • Strong knowledge of change management, rollback planning, and risk mitigation.<br> Education &amp; Certifications (Preferred) • Bachelor’s degree in Computer Science, Information Technology, or related field • Certifications such as CCNP Security, F5-CA/CTS, NSE, or equivalent are high</span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>This role builds and runs the infrastructure our Generative AI products depend on: the pipelines that ship code, the platforms that run services and models, and the controls that keep all of it secure and reliable. AI workloads bring their own demands. GPUs, model serving, inference autoscaling, and token cost all shape the work, and you have run workloads like these before. You should be comfortable owning infrastructure as code, CI/CD, observability, and security on AWS, and ready to set the operational standards a growing team will lean on.</p><p>WHAT YOU WILL DO</p><ul><li>Write and maintain infrastructure as code so environments are reproducible, reviewable, and quick to recover.</li><li>Own CI/CD: the pipelines that build, test, scan, and deploy applications, agents, and model-serving services.</li><li>Run the container platform (EKS, ECS, or Fargate) and the deployment workflows on top of it, including GitOps where it fits</li><li>Stand up the runtime for AI workloads: GPU capacity, model serving such as vLLM, Triton, or TGI, inference autoscaling, and the gateways and caching that sit in front of the models.</li><li>Manage API gateways, networking, load balancing, DNS, and certificates so services are exposed safely and predictably.</li><li>Own secrets, identity, and least-privilege access across every environment.</li><li>Run databases in production: clustering, replication, failover, backups, and recovery.</li><li>Build monitoring into everything, including token usage and GPU utilisation, with alerting and clear service objectives.</li><li>Lead reliability and security practice: incident response, policy as code, vulnerability and container scanning, and cost discipline, which matters once GPUs are in the mix.</li></ul></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><ul><li>Eight or more years in DevOps, SRE, or infrastructure engineering overall. That includes hands-on experience supporting AI or ML workloads in production, which can be a more recent part of your backgroun.</li><li>Strong infrastructure as code with Terraform or OpenTofu, including module design and remote state. Experience Strong infrastructure as code with Terraform or OpenTofu, including module design and remote state. Experience with HCP Terraform (formerly Terraform Cloud) is a plus.</li><li>Configuration management with Ansible.</li><li>Solid AWS experience across compute, networking (VPC, subnets, security groups, load balancers, Route 53), IAM, and storage</li><li>Strong CI/CD with GitHub Actions, including reusable workflows and careful handling of credentials.</li><li>Containers and orchestration: Docker with Kubernetes (EKS preferred), Helm, and a registry such as ECR.</li><li>API gateway experience with Kong or Amazon API Gateway, including auth, rate limiting, and routing.</li><li>Database operations including clustering and high availability, with RDS or Aurora, PostgreSQL, and a cache such as Redis or ElastiCache</li><li>Secrets management with HashiCorp Vault, AWS Secrets Manager, or Parameter Store.</li><li>Observability with Prometheus, Grafana, CloudWatch, and OpenTelemetry, or close equivalents.</li><li>Comfort in Linux and scripting with Bash and Python.</li></ul><p></p></section>

<ul><li><p>Design and implement robust, scalable, and secure enterprise communication networks, including voice, video, and data, to support business objectives.</p></li><li><p>Develop and maintain comprehensive communication architecture strategies, roadmaps, and standards aligned with the organization's digital transformation goals.</p></li><li><p>Evaluate and select appropriate communication technologies and platforms, ensuring seamless integration with existing IT infrastructure and future scalability.</p></li><li><p>Lead the technical design and deployment of Unified Communications (UC) solutions, contact centers, and collaboration tools across the enterprise. </p><br><p><strong>Education</strong></p><ul><li><p>Bachelor's degree in Computer Engineering, Telecommunications Engineering, Information Technology, or a related discipline.</p></li><li><p>Master's degree preferred.</p></li></ul><p><strong>Experience</strong></p><ul><li><p>15+ years in enterprise networking, telecommunications, or communications architecture.</p></li><li><p>Experience designing large-scale enterprise communication environments.</p></li><li><p>Experience creating enterprise architecture standards and technology roadmaps.</p></li><li><p>Experience governing enterprise architecture within complex organizations.</p></li></ul></li></ul><p><strong>Desired Candidate Profile</strong></p><p>Technical Skills</p><p>Strong expertise in:</p><ul><li><p>Enterprise networking architecture</p></li><li><p>LAN/WAN</p></li><li><p>SD-WAN</p></li><li><p>MPLS</p></li><li><p>IP Routing & Switching</p></li><li><p>Optical Transport Networks</p></li><li><p>Wireless Networking</p></li><li><p>Satellite Communications</p></li><li><p>Hybrid Network Connectivity</p></li><li><p>Network Security Architecture</p></li><li><p>Enterprise Architecture frameworks (TOGAF or equivalent)</p></li><li><p>Architecture governance</p></li><li><p>Disaster Recovery and Business Continuity</p></li></ul>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Our Generative AI products are only as good as the data behind them.<br> This role owns that data layer from end to end: the pipelines that bring data in, the transformations that shape it, and the way it reaches retrieval systems, agents, and analytics.<br> The work runs on AWS, and the aim is a single governed source that every consumer can rely on.<br> We want someone who has already built data pipelines for AI systems, not only for reporting.<br> Preparing data for an LLM or an agent brings its own work around chunking, embeddings, indexing, and keeping content current, and you have done it before.<br> The team is small and spans several languages, so you will own your pipelines and help set the standards the rest of us follow.<br> WHAT YOU WILL DO Build and run the batch and streaming pipelines that move data from source systems into the lake and through to the warehouse, owning the layers in between from raw to curated, along with their schema, quality, and lineage.<br> Build the data layer behind retrieval: source connectors, document parsing, chunking, embedding generation, and vector indexing, including re-embedding when content changes.<br> Model curated, query-ready datasets and metrics so AI and analytics consumers work from one definition instead of each rebuilding the logic.<br> Add quality checks, validation, and monitoring so problems surface before they reach a model or a user.<br> Apply access control where it belongs: row and column level rules, PII handling, and entitlement-aware datasets, enforced as close to query time as the stack allows.<br> Work with the platform and DevOps engineers to expose data and retrieval as documented, dependable services.<br> Keep storage, compute, and query costs in check, with particular attention to the cost of embedding and vector workloads Review code, write the documentation, and help shape how the team builds its data layer.<br> Eight or more years in data engineering overall.<br> That includes hands-on work building data for AI or ML systems such as retrieval, embeddings, or feature data, which can be a more recent part of your background.<br> Strong SQL and strong Python, including PySpark or similar distributed processing.<br> Production experience across the AWS data stack: S3 for the lake, Glue for ETL and the Data Catalog, Athena for serverless query, and Redshift as the warehouse.<br> Hands-on experience with a layered data architecture, whether you call it medallion (bronze, silver, gold), a data lake feeding a warehouse, or a lakehouse, including building the transformation stages that move data from raw to curated.<br> Experience with an ELT or integration tool such as Airbyte, Fivetran, or Meltano, including building or maintaining connectors.<br> Experience with event-driven pipelines using SQS and SNS, and with at least one streaming or change-data-capture technology such as Kinesis, Amazon MSK, or Debezium.<br> Hands-on experience with a semantic or metrics layer over the warehouse, such as Cube or the dbt Semantic Layer.<br> Hands-on experience with at least one vector store and embedding workflow: pgvector, Amazon OpenSearch, Pinecone, Weaviate, or Milvus.<br> Comfort with columnar and open table formats: Parquet together with Apache Iceberg, Delta Lake, or Hudi.<br> Working knowledge of an orchestrator such as Amazon MWAA, Step Functions, Dagster, or Prefect, and enough infrastructure as code to work closely with DevOps.<br></span> </div><h2 data-automation-id="subHeaderPreferredCandidate" class="h5"> Preferred candidate </h2> <div class="row is-m v-align-top t-small bg-mute"> <div class="col is-3 p5" data-automation-id="label_Years_of_experience"> <b>Years of experience</b> </div> <div class="col is-9 p5" data-automation-id="data_Years_of_experience"> No experience required </div> </div> <div class="row is-m v-align-top t-small "> <div class="col is-3 p5" data-automation-id="label_Degree"> <b>Degree</b> </div> <div class="col is-9 p5" data-automation-id="data_Degree"> Bachelor's degree / higher diploma </div> </div>

<p><br></p><p><strong>What You'll Be Doing</strong></p><ul><li>Develop and maintain project cost estimates, approved budgets, cost plans, and cost control baselines.</li><li>Support the preparation of project funding requirements and phased expenditure plans.</li><li>Monitor budget utilization and identify potential cost overruns, underruns, and emerging variances.</li><li>Ensure cost information is aligned with the project scope, Work Breakdown Structure (WBS), control accounts, and work packages.</li><li>Support project leadership in maintaining effective financial control throughout design, procurement, construction, commissioning, and closeout.</li><li>Monitor committed costs, actual expenditures, accruals, forecasts, and anticipated final costs against approved budgets.</li><li>Analyze project cost performance and identify trends, risks, opportunities, and areas requiring corrective action.</li><li>Prepare detailed cost variance analyses and recommend appropriate mitigation and recovery measures.</li><li>Support the implementation of consistent cost control processes across all project packages and disciplines.</li><li>Prepare periodic cost forecasts, including Estimate at Completion (EAC) and Estimate to Complete (ETC).</li><li>Develop monthly cost reports, dashboards, expenditure profiles, and management presentations.</li><li>Monitor project cash flow requirements and support financial planning and funding reviews.</li><li>Provide accurate and timely cost information to support project and executive-level decision-making.</li><li>Evaluate the cost implications of design changes, variations, scope modifications, and emerging project requirements.</li><li>Review contractor variation submissions, quotations, and change requests from a cost engineering perspective.</li><li>Prepare cost impact assessments, commercial evaluations, and recommendations for management review.</li><li>Maintain change registers and track approved, pending, and forecast variations against project budgets.</li><li>Support the commercial team in monitoring and managing overall project cost exposure.</li><li>Provide cost engineering support across major airport development components, including: Passenger terminals, Runways and taxiways, Cargo aprons and aircraft stands, Roads and external infrastructure, Utility networks, Mechanical, electrical, and plumbing systems, ICT systems and airport operational facilities.</li><li>Coordinate with engineering, design, procurement, construction, and commercial teams to ensure accurate cost allocation across work packages.</li><li>Monitor cost performance across multidisciplinary project activities and identify package-level cost pressures.</li><li>Coordinate with Planning, Quantity Surveying, Commercial, Finance, and Project Controls teams to integrate cost and schedule information.</li><li>Support Earned Value Management analysis and project performance measurement.</li><li>Maintain alignment between cost reports, progress updates, forecasts, and approved project schedules.</li><li>Contribute to project controls reporting, performance reviews, and governance forums.</li><li>Support risk-based forecasting, sensitivity analysis, and cost scenario modelling.</li><li>Participate in commercial meetings, progress reviews, cost workshops, and project controls meetings.</li><li><br></li></ul><p><strong>What Required Skills You'll Bring</strong></p><ul><li>Bachelor s Degree in Engineering, Quantity Surveying, Construction Management, Cost Engineering, or a related discipline.</li><li>Minimum 10+ years of experience in cost engineering, project controls, commercial management, or a related field.</li><li>Proven experience supporting major airport developments, infrastructure projects, transportation programs, or large-scale construction projects.</li><li>Strong experience in: Cost control, Budget management, Cost estimating, Forecasting, Cost reporting, Earned Value Management, Change management, Cash flow analysis.</li><li>Experience working within Delivery Partner, PMC, EPC, or client-side project environments.</li><li>Strong understanding of cost engineering principles, project controls methodologies, and commercial management practices.</li><li>Advanced knowledge of: Estimate at Completion, Estimate to Complete, Cost variance analysis, Budget and commitment tracking, Contingency management, Risk-based forecasting, Cost and schedule integration.</li><li>Proficiency with project controls and cost management systems, including: Primavera P6, Primavera Unifier, Oracle Primavera Cloud, SAP, Advanced Microsoft Excel, Power BI or equivalent reporting tools.</li><li>Knowledge of FIDIC contract frameworks and change control procedures.</li><li>Experience preparing cost reports, dashboards, forecasts, and executive management information.</li><li>Strong analytical, numerical, reporting, and problem-solving capabilities.</li><li>Excellent written and verbal communication skills.</li><li>Strong stakeholder management and coordination abilities.</li><li>Ability to manage multiple priorities and reporting cycles within a fast-paced airport project environment.</li><li>Ability to work effectively with clients, consultants, contractors, commercial teams, project controls personnel, and financial stakeholders.</li></ul><p><strong>What Desired Skills You'll Bring</strong></p><ul><li>Master s Degree in Engineering, Quantity Surveying, Construction Management, Cost Engineering, or a related discipline.</li><li>Professional certification such as: AACE Certified Cost Professional, MRICS, PMP, Equivalent cost or project controls certification.</li><li>Experience delivering international airport mega-projects.</li><li>Strong understanding of aviation infrastructure project delivery and airport development requirements.</li><li>Familiarity with ICAO, FAA, and other applicable aviation standards and guidance.</li><li>Experience supporting Design-Build, EPC, PMC, or Delivery Partner delivery models.</li><li>Experience with BIM 5D cost integration and model-based quantity and cost management.</li><li>Experience implementing cost dashboards, automated reporting, and business intelligence tools.</li><li>Knowledge of digital project controls and integrated cost-schedule reporting.</li><li>Strong commercial awareness and understanding of contractor claims, variations, and final accounts.</li><li>Experience conducting cost benchmarking and developing cost databases for future projects.</li><li>Strong stakeholder management experience with clients, contractors, consultants, finance teams, and executive leadership.</li><li><br></li></ul><p><strong>Desired Candidate Profile</strong></p><p><br></p>

Own the architecture of AI-native applications, ensuring seamless integration across AI capabilities, applications, data, and infrastructure. The role requires 10+ years of experience in architecting production systems, with strong expertise in AI, cloud platforms, ML engineering, and enterprise modernization.<br>Responsibilities:<br>Design end-to-end architecture for AI-native applications, including integration, data flow, security, and cost. Design AI APIs and services and define how AI capabilities integrate with applications. Establish architecture standards, reference patterns, and best practices. Lead architecture reviews and identify technical, integration, scalability, and modernization risks. Architect production ML pipelines, model serving, retraining, and high-throughput systems. Define ML engineering standards covering testing, versioning, and CI/CD. Lead root-cause analysis for critical production ML issues. Drive legacy-to-AI-native modernization initiatives. Partner with QA/AI Assurance teams to ensure architectural testability. Mentor AI Engineers and Developers on architecture and design standards. Present and defend architecture decisions to client technical leadership. Balance technical best practices with project timelines and delivery requirements.<br>Qualifications:<br>10+ years of experience in production system architecture, including 3+ years in AI-native application architecture.5+ years of production-scale ML engineering experience. Strong expertise in Azure AI Foundry, AWS Bedrock, and Google Vertex AI. Experience with Azure ML, AWS Sage Maker, and Vertex AI Prediction. Strong knowledge of APIs, microservices, event-driven architecture, API gateways, service mesh, and secure integrations. Experience with Lang Chain, Hugging Face, knowledge graphs, and semantic layers is preferred. Deep understanding of AI architecture challenges including latency, non-determinism, scalability, and cost optimization. Experience in legacy modernization and AI-native transformation. Strong architecture documentation and ADR writing skills. Excellent stakeholder management and client-facing communication skills. Strong leadership, mentoring, and technical decision-making abilities.