platform engineer

BRAIN

<div><h2 class="jobSectionHeader">About Brain Co.</h2>
Brain Co. is an applied AI startup co-founded by Jared Kushner and Elad Gil, and backed by leading Silicon Valley builders including Patrick Collison and Andrej Karpathy. 
 
We are building AI applications for the world&rsquo;s most important institutions, delivering impact on real-world problems across governments, healthcare systems, and critical industries. 
 
Our progress so far:<ul><li>
Automated construction permitting for a sovereign government 80% faster, unlocking $375M+ in value</li><li>
Optimized supply chains for a leading global energy company 30% lower cost, 99% reliability, preventing $100M+ in losses</li><li>
Streamlined hospital patient care across national health systems 40% better outcomes, 80% less admin work</li></ul>
Company momentum:<ul><li>
Raised a $55M Series A from leading investors</li><li>
Built a team of 70+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks</li></ul>
At Brain Co., we focus on applying frontier AI to real institutional challenges, working alongside governments, healthcare systems, and critical industries to modernize how essential services operate. 
 
We are looking for leaders who want to help bring new technology into institutions that impact millions of people.<div> 
</div><h2 class="jobSectionHeader">
What You&rsquo;ll Work On:</h2><ul><li>
Design and scale Kubernetes- and Terraform-based infrastructure across customer environments.</li><li>
Define standards for networking, security, CI/CD, and multi-region deployments.</li><li>
Build and maintain metrics, logging, tracing, dashboards, and SLOs.</li><li>
Diagnose and improve performance across distributed systems and AI workloads.</li><li>
Support high-performance inference, data pipelines, and large-scale backend services.</li><li>
Ensure systems scale reliably under fast-growing and unpredictable workloads.</li><li>
Partner with technical leaders on architecture and mentor engineers.</li></ul><h2 class="jobSectionHeader">
You Might Be a Great Fit If You&hellip;</h2><ul><li>
Have 5+ years building large-scale backend or infra systems.</li><li>
Know Kubernetes, Terraform, cloud networking, orchestration, and observability tools.</li><li>
Bring strong distributed systems, performance, and incident-response experience</li><li>
Work well with customers and teams to deliver reliable solutions.</li><li>
Thrive in high-agency environments and set engineering standards.</li><li>
Enjoy ambiguity, autonomy, and solving tough infra problems.</li></ul><h2 class="jobSectionHeader">
Why Join Us</h2><ul><li>
Ship quickly, iterate constantly and see your work deployed at global scale</li><li>
Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more</li><li>
Accelerate your career with ownership based on impact, not tenure</li><li>
Earn competitive compensation + meaningful equity in a high-growth company</li><li>
Thrive in a culture built on speed, curiosity, and impact</li></ul><h2 class="jobSectionHeader">
Benefits</h2><ul><li>
Competitive salary plus equity</li><li>
Daily lunches</li><li>
Commuter benefits</li><li>
Unlimited PTO</li></ul></div>

AI Platform & Infrastructure Engineer, Deployed

Salt

<div>
 
 🤖
 
 Site Reliability Engineer (SRE) &ndash; AI Platforms
 
 
 
 
 📍 Abu Dhabi
 
 
 
 
 ⏳ 6-month initial contract - with extensions
 
 
 
 
 
 
 
 Help Build AI Platforms That Never Sleep
 
 
 
 We're partnering with one of the UAE's leading financial institutions to hire
 
 2 Site Reliability Engineers (SREs)
 
 to support the delivery of a next-generation
 
 Agentic AI platform
 
 powering the future of digital banking. This is far more than a traditional SRE role. You'll sit at the intersection of
 
 Site Reliability Engineering, Test Automation, Cloud Infrastructure and AI Quality Assurance
 
 , ensuring enterprise AI services are resilient, secure, scalable and production-ready. You'll build the automated frameworks that validate AI outputs while maintaining the reliability and performance of cloud-native applications running across Azure and AWS.
 
 
 
 
 
 As a
 
 Site Reliability Engineer
 
 , you'll take ownership of
 
 Production Readiness
 
 across enterprise AI applications and cloud infrastructure. You'll develop automated testing frameworks, define reliability standards, implement observability, and ensure AI-powered services consistently meet the performance, security and compliance standards expected within a highly regulated banking environment. Working alongside AI Engineers, DevOps Engineers, Software Developers and Cloud Architects, you'll play a critical role in ensuring the platform performs reliably at scale.
 
 
 
 
 
 
 What You'll Be Doing
 
 
 
 Site Reliability Engineering
 
 <ul>
 <li>
 Design and implement resilient, highly available cloud platforms.
 </li>
 <li>
 Build automated recovery and self-healing capabilities.
 </li>
 <li>
 Conduct chaos engineering exercises to validate system resilience.
 </li>
 <li>
 Perform load and stress testing to ensure applications can support banking-scale workloads.
 </li>
 </ul>
 
 Automated Testing &amp; Quality Engineering
 
 <ul>
 <li>
 Develop automated regression testing frameworks using Python.
 </li>
 <li>
 Integrate automated testing into CI/CD pipelines.
 </li>
 <li>
 Validate both application functionality and infrastructure deployments.
 </li>
 <li>
 Ensure every release meets enterprise quality standards before production.
 </li>
 </ul>
 
 AI Quality &amp; Validation
 
 <ul>
 <li>
 Build automated frameworks to evaluate AI model responses.
 </li>
 <li>
 Validate prompt behaviour and AI-generated outputs.
 </li>
 <li>
 Measure AI performance using established evaluation techniques and custom benchmarks.
 </li>
 <li>
 Help improve the reliability and consistency of enterprise AI services.
 </li>
 </ul>
 
 Observability &amp; Monitoring
 
 <ul>
 <li>
 Define Service Level Indicators (SLIs) and Service Level Objectives (SLOs).
 </li>
 <li>
 Develop dashboards and proactive monitoring solutions.
 </li>
 <li>
 Configure intelligent alerting to identify issues before they impact customers.
 </li>
 <li>
 Analyse platform health, reliability and performance trends.
 </li>
 </ul>
 
 Security &amp; Compliance
 
 <ul>
 <li>
 Automate security testing and compliance validation.
 </li>
 <li>
 Ensure AI services comply with banking security, privacy and data residency requirements.
 </li>
 <li>
 Support continuous platform governance and operational excellence.
 </li>
 </ul>
 
 Cloud Optimisation
 
 <ul>
 <li>
 Identify inefficient infrastructure and unnecessary cloud spend.
 </li>
 <li>
 Improve platform performance while optimising operational costs.
 </li>
 <li>
 Support FinOps initiatives across AI workloads.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 
 Essential Skills &amp; Experience
 
 <ul>
 <li>
 Strong commercial experience in Site Reliability Engineering, Platform Engineering or Test Automation
 </li>
 <li>
 Expert Python development skills
 </li>
 <li>
 Experience with automation frameworks including
 
 PyTest, Selenium or Robot Framework
 
 </li>
 <li>
 Hands-on experience with Azure and/or AWS cloud platforms
 </li>
 <li>
 Experience building automated CI/CD testing pipelines
 </li>
 <li>
 Strong understanding of cloud networking, scalability and reliability
 </li>
 <li>
 Experience with infrastructure validation and Infrastructure-as-Code concepts
 </li>
 <li>
 Knowledge of monitoring and observability tools including:
 </li>
 <li>
 Azure Monitor
 </li>
 <li>
 AWS CloudWatch
 </li>
 <li>
 Grafana
 </li>
 <li>
 Prometheus
 </li>
 <li>
 Experience with performance testing tools such as
 
 K6 or JMeter
 
 </li>
 </ul>
 
 
 
 
 
 AI Experience
 
 
 
 We're looking for engineers who have worked on
 
 AI, Generative AI, Conversational AI or Agentic AI
 
 projects and understand how to evaluate AI system performance.
 
 
 Experience with any of the following would be highly beneficial:
 
 <ul>
 <li>
 Prompt Engineering
 </li>
 <li>
 LLM evaluation
 </li>
 <li>
 Retrieval-Augmented Generation (RAG)
 </li>
 <li>
 AI benchmarking
 </li>
 <li>
 ROUGE/BLEU scoring
 </li>
 <li>
 AI quality evaluation frameworks such as
 
 DeepEval, Ragas or LangSmith
 
 </li>
 </ul>
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Bash scripting
 </li>
 <li>
 GitHub Actions
 </li>
 <li>
 Terraform (validation and governance)
 </li>
 <li>
 Serverless cloud architectures
 </li>
 <li>
 FinOps or cloud cost optimisation
 </li>
 <li>
 Experience working within highly regulated industries such as banking or financial services
 </li>
 </ul>
 
 
 
 
 
 Why Join?
 
 
 
 This is a chance to work on one of the most ambitious enterprise AI programmes in the Middle East.
 
</div>

Site Reliability Engineer

DICETEK LLC

<div>Role Summary
The Senior Engineer &ndash; Data Governance &amp; Platform Lead (IB&amp;M) is a hands-on senior technical role responsible for defining, implementing, and governing the IB&amp;M Data Platform with a strong focus on data governance, quality, lineage, security, and platform standards.
The role will work closely with Global Markets, Investment Banking, Risk, Compliance, and Analytics teams to ensure data is trusted, compliant, and scalable across the enterprise. This is not a people‑management role but requires strong technical leadership and ownership across the data lifecycle.
Key Responsibilities<ul><li>
Define and govern the IB&amp;M Data Platform, ensuring strong data governance, quality, lineage, security, and compliance.
</li><li>Lead the design and implementation of scalable data platform standards across Azure Lakehouse (ADLS, Databricks, Delta Lake).
</li><li>Provide technical leadership on data architecture, platform engineering, and governance best practices.
</li><li>Collaborate with Global Markets, Risk, Compliance, Analytics, and engineering teams to deliver trusted and compliant data solutions.
</li><li>Review solution designs, establish platform standards, and ensure scalability, performance, security, and regulatory compliance.</li></ul> 
Experience<ul><li>10+ years of experience in Data Engineering, Data Platforms, or Data Architecture</li><li>Proven experience leading data governance initiatives in large, regulated environments (Banking / Financial Services preferred)</li><li>Strong background supporting Global Markets / Investment Banking data domains is highly desirable</li></ul>
Technical Skills<ul><li>Strong hands-on experience with:
</li></ul>o Azure Data Lake (ADLS)
o Databricks / Delta Lake / Lakehouse architectures
o Data quality, schema enforcement, and validation frameworks<ul><li>Experience with data cataloging and governance tools (e.g., Unity Catalog, Informatica Axon or similar)
</li><li>Solid understanding of:
</li></ul>o Data modeling (analytical and canonical models)
o Metadata management and lineage
o Secure data access and entitlements<ul><li>Good understanding of AI/ML and analytics enablement within governed data platforms</li></ul>
Soft Skills<ul><li>Strong ownership mindset with ability to work independently</li><li>Excellent stakeholder management and communication skills</li><li>Ability to translate regulatory and business requirements into technical solutions</li><li>Comfortable working in complex, multi‑vendor, enterprise environments</li></ul></div>

Data Governance & Platform Lead – IB&M

Klanik

<div>
 
 
 🚀
 
 Hiring: Infrastructure Engineer (SRE + AIOps)
 
 
 
 
 
 
 📍
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 
 We are looking for an experienced
 
 Infrastructure Engineer (SRE + AIOps)
 
 to build and operate highly reliable, scalable, and intelligent cloud-native platforms. This role focuses on site reliability engineering, automation, observability, and AI-driven operations to ensure resilient and self-healing systems.
 
 
 
 
 
 🔹
 
 Responsibilities
 
 
 
 
 
 
 &bull; Site Reliability Engineering (SRE) for cloud + edge distributed systems
 
 
 &bull; Kubernetes (k3s), Helm, ArgoCD for CI/CD and marketplace-style deployments
 
 
 &bull; Python (FastAPI), Go, or Node.js for automation and platform tooling
 
 
 &bull; Observability stack: Prometheus, Grafana, OpenTelemetry, ELK/OpenSearch
 
 
 &bull; AIOps: anomaly detection, alert correlation, predictive incident management
 
 
 &bull; Event-driven systems using Kafka / RabbitMQ for scalable pipelines
 
 
 &bull; Infrastructure as Code (Terraform, Helm, GitOps workflows)
 
 
 &bull; Reliability engineering: SLOs/SLIs, incident response, postmortems, self-healing systems
 
 
 
 
 
 🔹
 
 Experience
 
 
 
 4 &ndash; 8 Years of experience
 
 
 
 
 
 🔹
 
 Language
 
 
 
 . English
 
 
 
 
 
 
 Key Skills:
 
 
 
 
 
 
 The ideal candidate must be self-motivated and comfortable in a dynamic atmosphere.
 
 
 Candidate must be organized and analytical, adept at working in a team environment and able to handle multiple priorities.
 
 
 Excellent communication skills (relational and redactional) in English.
 
 
 A business and customer-oriented mindset is a must. A proactive and &ldquo;can-do&rdquo; attitude is required to be successful in the position.
 
 
 
 
 
 
 About KLANIK:
 
 
 
 
 
 
 Klanik is an IT consulting company providing solutions to some of the world&rsquo;s largest industrial and services groups for 10years.We support our clients with the creation and development of their new products and services around 4 main business lines:
 
 
 
 
 
 ➜ Information Technology and Systems (IT &amp; IS)
 
 
 ➜DevOps and Cloud
 
 
 ➜Big Data and AI
 
 
 ➜Cybersecurity
 
 
 
 
 
 Klanik is a community of +500 passionate experts
 
 
 empowering clients in 6 countries throughout Europe, Middle East and the Americas.
 
 
 Our Team is dedicated to offer our global clients project support while guaranteeing a consistent level of service alongside commitments to excellence and strong core values.
 
 
 We&rsquo;re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact!
 
 
 
 
 
 
 Beinga &ldquo;KLANIK&rdquo;
 
 
 
 That means being an out of the box thinker, a precursor who is keen to create, innovate and collaborate in an environment
 
 
 where you can enjoy being yourself and valued for your ideas. It&rsquo;s being part
 
 
 of a community of experts that have a passion for and stay abreast of the
 
 
 latest technologies.
 
 
 You feel like a technology pioneer, full of creative
 
 
 ideas, supported by a strong know how and expertise in the latest technologies?
 
 
 We believe you could be a good fit to our culture!
 
 
 
 
 
 
 Ourculture is our pride
 
 
 
 
 
 
 At Klanik, we believe that we are stronger together than we are alone. Trust, ethics, respect and transparency are deeply fixed in our culture, alongside with the pride in a job well done.
 
 
 Our community motto is that people give the best of them when they feel listened, respected and empowered to develop themselves. Therefore the better we treat our people, the bigger the success they will achieve. We apply those values on day to day basis among our teams, with our
 
 
 clients and even with our competitors. Being part of the Klanik community means relying on
 
 
 each other&rsquo;s, learning from each other&rsquo;s and growing all together. Our community fosters creativity, innovation and development within our teams to tackle more and more complex challenges and deliver the best solutions to our clients.
 
</div>

Infrastructure Engineer (SRE + AIOps)

Lunate

<div>
 
 
 Firm Overview
 
 
 
 
 
 
 Lunate is a new Abu Dhabi-based, Partner-led, independent global alternative investment manager with more than 250 employees and $115 billion of assets under management. Lunate invests across the entire private markets spectrum including buyouts, growth equity, early and late-stage venture capital, private credit, real assets, and public equities and public credit. Lunate aims to be one of the world&rsquo;s leading private markets solutions providers through SMAs and multi-asset class funds, seeking to generate best-in-class risk-adjusted returns for its clients.
 
 
 
 
 
 
 Job Purpose
 
 
 
 
 
 
 The Senior Data Engineer will be the first dedicated internal data engineering hire in Lunate&rsquo;s Data &amp; AI function. This role is responsible for building dependable ingestion and transformation pipelines into Snowflake, shaping high-quality, well-modelled datasets that power reporting, operations, and AI-enabled products. You will work closely with the Head of Data &amp; AI and partner with Infrastructure (who own Snowflake account and platform setup) to deliver a modern, data-as-code engineering practice with strong controls, testing, and repeatability, supporting both BI and AI/Agentic workloads.
 
 
 
 
 
 
 Key Duties and Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Build and own ingestion pipelines into Snowflake using modern ELT patterns (Fivetran or equivalent, plus custom ingestion where needed), handling schema drift and source changes safely.
 </li>
 <li>
 Leverage AI Tools to design and automate our pipelines.
 </li>
 <li>
 Implement a layered data architecture (raw, standardised, business) that preserves immutability, auditability, and supports reprocessing and backfills.
 </li>
 <li>
 Develop transformations as version-controlled code (SQL and Python) using dbt or equivalent tooling.
 </li>
 <li>
 Apply pragmatic data modelling practices, using dimensional (Kimball) or relational approaches where appropriate.
 </li>
 <li>
 Build data quality and reconciliation into pipelines, with automated checks and visible quality signals.
 </li>
 <li>
 Operate pipelines like software: CI/CD, automated testing, peer review, and controlled promotion across environments.
 </li>
 <li>
 Optimise Snowflake usage for performance and cost, working with Infrastructure on governance controls.
 </li>
 <li>
 Partner with BI practitioners and AI engineers to deliver AI-ready datasets with consistent semantics and clear lineage.
 </li>
 <li>
 Collaborate with investment, operations, and finance teams to translate requirements into robust data products.
 </li>
 <li>
 Contribute to engineering standards, patterns, and documentation as the data function scales.
 </li>
 </ul>
 
 
 
 
 
 Qualifications and Experience
 
 
 
 
 
 <ul>
 <li>
 6+ years of professional data engineering experience delivering production pipelines.
 </li>
 <li>
 Strong experience with Snowflake&rsquo;s full suite of products &ndash; especially core functionality.
 </li>
 <li>
 Hands-on experience with dbt, including testing and environment management.
 </li>
 <li>
 Familiarity with modern ingestion tools such as Fivetran.
 </li>
 <li>
 Strong grounding in data modelling fundamentals (Kimball and relational).
 </li>
 <li>
 Python-native, comfortable writing production-quality pipeline and orchestration code.
 </li>
 <li>
 Strong software engineering discipline applied to data (Git, CI/CD, automated testing).
 </li>
 <li>
 Experience building replayable, idempotent pipelines with backfill support.
 </li>
 <li>
 Financial services experience preferred, with understanding of audit, restatement, and as-of data concepts.
 </li>
 </ul>
</div>

Senior Data Engineer

<div>
 
 
 🤖 Full Stack Engineer
 
 
 
 
 ⏳ 6-month initial contract - with extensions
 
 
 
 
 📍 Abu Dhabi
 
 
 
 
 
 
 
 Build the Future of AI in Banking
 
 
 
 
 
 
 We're partnering with one of the UAE's leading financial institutions to hire an experienced
 
 Full Stack Developer
 
 to help shape the next generation of AI-powered banking.
 
 
 
 
 
 You'll play a key role in developing the customer and operational interfaces for a cutting-edge
 
 Agentic AI platform
 
 , creating intuitive applications that connect complex AI decision-making with the people who rely on it every day. From Human-in-the-Loop (HITL) review portals and real-time operational dashboards to internal AI management tools, you'll build products that are central to the bank's AI transformation journey.
 
 
 
 
 
 This is an opportunity to work on enterprise-scale AI solutions using modern technologies including
 
 React, TypeScript, Node.js, Azure, Kubernetes, REST APIs, and GenAI integrations
 
 , while collaborating with AI Engineers, Product teams, Business Analysts and Platform Architects.
 
 
 The Role As a
 
 Full Stack Developer
 
 , you'll own the design and development of the human-facing applications that power the bank's AI ecosystem. You'll transform complex AI outputs, including confidence scores, exception handling, agent status and operational metrics&mdash;into intuitive, high-performance user experiences for operations teams, business users and customers.
 
 
 
 
 
 
 What You'll Be Doing:
 
 
 
 Build Modern AI Applications
 
 <ul>
 <li>
 Develop enterprise-grade React &amp; TypeScript applications for AI-powered banking solutions.
 </li>
 <li>
 Design intuitive interfaces that visualise AI decisions, confidence scores and workflow status.
 </li>
 <li>
 Create responsive, accessible applications that deliver an exceptional user experience.
 </li>
 </ul>
 
 Human-in-the-Loop (HITL) Platform
 
 <ul>
 <li>
 Develop reviewer portals enabling operations teams to validate AI-generated decisions.
 </li>
 <li>
 Build document viewers with field overlays and confidence indicators.
 </li>
 <li>
 Create streamlined approval, edit and rejection workflows with productivity-focused features.
 </li>
 </ul>
 
 Operational Dashboards
 
 <ul>
 <li>
 Build real-time dashboards displaying AI performance and operational health.
 </li>
 <li>
 Visualise key metrics including:
 </li>
 <li>
 Straight Through Processing (STP)
 </li>
 <li>
 Human intervention rates
 </li>
 <li>
 AI confidence trends
 </li>
 <li>
 Processing latency
 </li>
 <li>
 Token consumption
 </li>
 <li>
 Document volumes
 </li>
 <li>
 Exception analytics
 </li>
 </ul>
 
 Platform &amp; API Integration
 
 <ul>
 <li>
 Integrate applications with AI services, REST APIs and backend orchestration platforms.
 </li>
 <li>
 Develop secure communication between AI services and banking applications.
 </li>
 <li>
 Consume real-time event streams using WebSockets and Server-Sent Events.
 </li>
 </ul>
 
 Internal AI Tooling
 
 <ul>
 <li>
 Build internal portals supporting AI prompt management, testing, annotation and AI use case configuration.
 </li>
 <li>
 Create developer tooling that accelerates AI delivery across multiple business functions.
 </li>
 </ul>
 
 Performance &amp; Accessibility
 
 <ul>
 <li>
 Deliver highly performant applications optimised for enterprise environments.
 </li>
 <li>
 Ensure solutions meet accessibility standards and gracefully handle AI processing latency.
 </li>
 <li>
 Contribute to a reusable design system and component library aligned with corporate branding.
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 
 Essential Experience
 
 <ul>
 <li>
 5+ years' experience as a Full Stack Developer
 </li>
 <li>
 Commercial experience delivering
 
 AI, Generative AI, Agentic AI or Conversational AI
 
 projects
 </li>
 <li>
 Strong React &amp; TypeScript development experience
 </li>
 <li>
 Node.js or Python (FastAPI / Express)
 </li>
 <li>
 REST API integration and development
 </li>
 <li>
 Experience with WebSockets or Server-Sent Events
 </li>
 <li>
 State management using Redux, Zustand or React Query
 </li>
 <li>
 Data visualisation using Recharts, D3 or similar libraries
 </li>
 <li>
 OAuth2 / OpenID Connect authentication
 </li>
 <li>
 Docker and Kubernetes fundamentals
 </li>
 <li>
 Experience building scalable, enterprise-grade web applications
 </li>
 </ul>
 
 Nice to Have
 
 <ul>
 <li>
 React Native or mobile banking application development
 </li>
 <li>
 Azure Static Web Apps, Azure Front Door or CDN configuration
 </li>
 <li>
 High-resolution document rendering and annotation tools
 </li>
 <li>
 Experience displaying streaming LLM responses
 </li>
 <li>
 Understanding of AI/ML concepts including confidence scoring, model evaluation and operational metrics
 </li>
 <li>
 Experience working within Azure cloud environments
 </li>
 </ul>
 
 
 
 
 
 Why Join?
 
 
 
 This is a rare opportunity to work on one of the region's most ambitious AI transformation programmes.
 
</div>

Full Stack Engineer

<div></div><div><div>Location Abu Dhabi Category Engineering, Technology, &amp; Science Job Type Full time Job Id R2126282 Posted Date 07/09/2026 
</div><div><div><div><div><div><div><div>
</div></div></div></div></div></div></div><div></div><div>JOB DESCRIPTION
</div><div>Title:
Lead Piping Engineer &ndash; Offshore Island Project
Belong, Connect, Grow, with KBR!
The KBR team of teams delivers future-forward science, technology and engineering solutions and mission-critical services that help governments and companies around the world accomplish their most important objectives, while also helping achieve their sustainability goals. KBR Sustainable Technology Solutions provides holistic and value-added solutions across the entire asset life cycle. These include world-class licensed process technologies, differentiated advisory services, deep technical domain expertise, energy transition solutions, high-end design and engineering capabilities, and smart solutions to optimize planned and operating assets.
 Job Title: Lead Piping Engineer &ndash; Offshore Island Project
KBR Abu Dhabi PMC Team is currently looking to fill a position of Lead Piping Engineer for an Offshore Island Project to be based in UAE ( Abu Dhabi) as soon as the administrative processes are completed, will then relocate to Spain Office and then return to Abu Dhabi .
Key Responsibilities
Job Purpose
The Lead Piping Engineer is responsible for leading all piping engineering and design activities for ADNOC Offshore projects, ensuring safe, reliable, and cost-effective piping systems for offshore oil and gas facilities. The role covers FEED, Detailed Engineering, EPC, Construction, Commissioning, and Start-up phases and ensures compliance with ADNOC standards, international codes, project specifications, and HSE requirements.
The Lead Piping Engineer shall provide technical leadership, manage piping engineering teams, coordinate multidisciplinary interfaces, and ensure successful delivery of offshore facilities including platforms, wellhead towers, central processing facilities, utilities, subsea tie-ins, and pipeline systems.
<div></div>Key Responsibilities
Engineering Leadership
<ul><li>Lead piping engineering and piping layout activities for offshore oil and gas projects.</li>
<li>Manage and supervise a team of Piping Engineers, Designers, and Draftsmen.</li>
<li>Ensure piping deliverables are completed within project schedule, budget, and quality requirements.</li>
<li>Provide technical guidance and resolve complex piping engineering issues.</li>
<li>Coordinate engineering activities with ADNOC, EPC contractors, vendors, and third-party consultants.</li>
</ul>Piping Design &amp; Engineering
<ul><li>Develop and review piping design philosophies and engineering specifications.</li>
<li>Review and approve:
<ul><li>Piping Material Specifications (PMS)</li>
<li>Material Class Specifications</li>
<li>Plot Plans and Equipment Layouts</li>
<li>Piping General Arrangement Drawings</li>
<li>Isometric Drawings</li>
<li>Line Lists</li>
<li>Valve Lists</li>
<li>Special Item Lists</li>
<li>Material Take-Offs (MTOs)</li>
</ul></li><li>Ensure compliance with process, safety, operability, and maintenance requirements.</li>
<li>Verify piping layouts considering accessibility, constructability, and safety requirements.</li>
</ul>Stress Analysis &amp; Flexibility
<ul><li>Coordinate piping stress analysis activities.</li>
<li>Review:
<ul><li>Stress Analysis Reports</li>
<li>Critical Line Studies</li>
<li>Dynamic Analysis</li>
<li>Seismic Analysis</li>
<li>Thermal Expansion Studies</li>
</ul></li><li>Ensure piping systems meet allowable stress limits and operational requirements.</li>
<li>Resolve stress-related issues in coordination with structural and mechanical disciplines.</li>
</ul>Offshore Facility Design
<ul><li>Lead piping engineering for:
<ul><li>Wellhead Platforms</li>
<li>Central Processing Platforms</li>
<li>Production Facilities</li>
<li>Utility Systems</li>
<li>Living Quarters</li>
<li>Flare Systems</li>
<li>Water Injection Systems</li>
<li>Produced Water Treatment Systems</li>
<li>Gas Compression Facilities</li>
</ul></li><li>Ensure piping designs are optimized for offshore space constraints and operational efficiency.</li>
</ul>Material &amp; Valve Engineering
<ul><li>Review and approve piping material selections.</li>
<li>Ensure proper selection of:
<ul><li>Carbon Steel</li>
<li>Stainless Steel</li>
<li>Duplex &amp; Super Duplex Materials</li>
<li>CRA Materials</li>
<li>GRE / GRP Systems</li>
</ul></li><li>Coordinate valve selection and specification activities.</li>
<li>Review special piping components and vendor packages.</li>
</ul>Safety &amp; Risk Management
<ul><li>Participate in:
<ul><li>HAZOP Studies</li>
<li>HAZID Reviews</li>
<li>Constructability Reviews</li>
<li>Design Safety Reviews</li>
<li>SIMOPS Assessments</li>
</ul></li><li>Ensure compliance with process safety requirements.</li>
<li>Incorporate safe access, operability, and maintenance considerations into piping layouts.</li>
</ul>Procurement &amp; Vendor Support
<ul><li>Prepare and review Material Requisitions (MRs).</li>
<li>Conduct Technical Bid Evaluations (TBEs).</li>
<li>Review vendor drawings, documents, and technical proposals.</li>
<li>Participate in vendor meetings and technical clarification sessions.</li>
<li>Ensure technical compliance with ADNOC standards and project specifications.</li>
</ul>Construction Support
<ul><li>Provide engineering support during fabrication, construction, and offshore installation activities.</li>
<li>Resolve site technical queries and field engineering issues.</li>
<li>Review non-conformance reports (NCRs) and engineering deviations.</li>
<li>Support offshore hook-up and commissioning activities.</li>
</ul>Commissioning &amp; Start-Up
<ul><li>Review system turnover packages.</li>
<li>Support pre-commissioning and commissioning activities.</li>
<li>Participate in:
<ul><li>Hydrostatic Testing</li>
<li>Pneumatic Testing</li>
<li>Leak Testing</li>
<li>Mechanical Completion Reviews</li>
</ul></li><li>Support start-up, performance testing, and project handover activities.</li>
</ul>Interface Management
<ul><li>Coordinate closely with:
<ul><li>Process Engineering</li>
<li>Mechanical Engineering</li>
<li>Structural Engineering</li>
<li>Civil Engineering</li>
<li>Electrical Engineering</li>
<li>Instrumentation &amp; Control Engineering</li>
<li>Pipeline Engineering</li>
<li>Construction Teams</li>
</ul></li><li>Ensure proper integration between piping systems and all related disciplines.</li>
</ul><div></div>Qualifications
<ul><li>Bachelor's Degree in Mechanical Engineering or equivalent engineering discipline.</li>
<li>Master's Degree in Mechanical or Piping Engineering is preferred.</li>
<li>Chartered Engineer (CEng), PE, or equivalent professional certification is advantageous.</li>
</ul><div></div>Experience
<ul><li>Minimum 18&ndash;20 years of experience in Oil &amp; Gas engineering.</li>
<li>Minimum 8&ndash;10 years in a Lead Piping Engineer role.</li>
<li>Significant experience with ADNOC Offshore projects or major EPC contractors.</li>
<li>Proven experience in FEED, Detailed Design, EPC, Brownfield, and Greenfield developments.</li>
<li>Extensive offshore platform and processing facility experience.</li>
</ul>Strong knowledge of Middle East offshore oil and gas projects.</div></div>

Lead Piping Engineer – Offshore Island Project

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