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Role:Gulf Laboratories, part of Mannai Corporation, provides specialized laboratory testing, inspection, and analytical services in Qatar. The laboratory supports various industries through transformer oil testing, lubricant oil analysis, electrical condition assessments, and quality assurance services, with a focus on accurate results, technical reliability, and compliance with international testing standards.

Job Overview / Purpose

We are seeking an experienced Electrical Engineer – Transformer Oil & Lubricant Oil Testing to join Gulf Laboratories in Doha.

The role involves managing and conducting transformer oil and lubricant oil testing, electrical condition assessments, laboratory operations, and technical report interpretation. The ideal candidate should have strong hands-on experience in oil analysis, electrical testing, laboratory QA/QC procedures, and compliance with ISO/IEC 17025, ASTM, IEC, and relevant international testing standards.

Key Responsibilities

Plan, coordinate, and conduct transformer oil and lubricant oil testing activities in accordance with approved laboratory procedures and international standards.

Perform onsite electrical condition assessment testing of transformers, motors, and generators, including oil sampling and technical inspections.

Conduct and interpret transformer oil analysis, including dielectric breakdown voltage, moisture content, acidity, dissolved gas analysis (DGA), and other relevant condition monitoring tests.

Support lubricant oil testing and condition monitoring, including viscosity, flash point, water content, wear metals, contamination, and oil degradation analysis.

Review and interpret laboratory test results, identify equipment condition trends, and prepare detailed technical reports with appropriate recommendations.

Ensure laboratory testing activities comply with ISO/IEC 17025 requirements, applicable ASTM, IEC, and ISO testing methods, and established QA/QC procedures.

Coordinate with clients and contractors on sampling procedures, onsite testing, technical requirements, and report clarifications.

Maintain laboratory equipment calibration, testing accuracy, method validation, quality control records, and compliance with laboratory safety requirements.

Support internal audits, proficiency testing, corrective actions, and continuous improvement initiatives related to laboratory quality management.

Collaborate with the Oil Laboratory team to improve testing procedures, introduce new analytical methods, and ensure timely delivery of accurate test reports.

Qualifications & Experience

Experience: 6–10 years of relevant experience, with a minimum of 5 years in electrical testing, transformer oil analysis, lubricant oil testing, or a QA/QC testing laboratory.

Education: Bachelor's degree in Electrical Engineering or a related engineering discipline.

Industry Exposure: Experience in oil testing laboratories, electrical utilities, power generation, industrial maintenance, or condition monitoring services.

Technical Expertise: Strong knowledge of transformer oil testing, electrical condition assessment, oil sampling, and interpretation of laboratory test results.

Lubricant Oil Analysis: Knowledge of lubricant oil properties, contamination analysis, wear metal analysis, and machinery condition monitoring.

Standards & Compliance: Working knowledge of ISO/IEC 17025, relevant ASTM and IEC transformer oil testing methods, and applicable ISO lubricant oil analysis standards.

Laboratory Quality: Experience with QA/QC procedures, equipment calibration, method validation, laboratory documentation, and audit requirements.

Professional Skills: Strong analytical, technical reporting, problem-solving, client communication, and coordination skills.

“Lead the future, start with the best.”

Join Gulf Laboratories – Mannai Corporation and contribute your technical expertise to delivering reliable transformer oil testing, lubricant oil analysis, and laboratory services in Qatar.

Role:Others

Job Id :100199393

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Kuwait local hiring only

Facility Management Company in Kuwait

Must be Article 18/ Ahli visa transferable

5 Years & above experience in HVAC Supervision role

can Join Immediately

Please send your cv via whatsapp only : 92224782

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Location : Al-Rai , Kuwait

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Posted : Today

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Company : Kuwait Jobs

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Role:Cleaner

Job Id :100199397

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A Leading Company is HIRING STAFF:

Female Secretary Arab National Expert in English - 1

Female / Male Electrical Engineer for Project - 2

Female / Male Electrical Supirvisor - 2

Female Personal / Admin Assistant -2

Female Sales And Marketing Executives - 5

Female Cleaner - 1

Freshers can Also Apply

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Role:🚀 We're hiring a Core Engineer to help build the backbone of SME finance in the UAE.

Zelo turns SME receivables into instant liquidity — real money, real customers, real scale. We just landed $715M in capital allocation from our parent, IHC, and we're deploying it fast.

We're not looking for someone we hand-hold. Give this person a one-line requirement and they'll go research it, think it through, brainstorm with the team, and come back with a real solution.

You'll work on:

→ Core credit & workflow engines in Java

→ Zelo Procure — our source-to-pay ERP with financing built in

→ Event-driven systems, AI/LLM-powered document intelligence

→ Real system design, not CRUD, not toy problems

What we want:

✅ 2–6 yrs full-stack/backend, Java + React

✅ Strong LLD/HLD chops — you've built products, not just features

✅ Self-managed, no hand-holding, ships fast

✅ Bonus if you're comfortable in front of customers too

Abu Dhabi, in-office. Visa + relocation

If you want to build something that actually matters — not another dashboard nobody uses — this is it.

📩 Skip the cover letter. Send a 60–90 second pitch (video or voice note) on why you're the right fit to careers@zelofinance.ai

#Fintech #Hiring #JavaEngineer #SoftwareEngineering #AbuDhabi #StartupJobs #SystemDesign #AI

Role:Sales executive

Job Id :100199084

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Job Vacancy: IT Sales Executive (Female)

📍 Location: Hawally, Kuwait

🕘 Timing: 9:00 AM – 4:00 PM

📅 Working Days: Sunday to Thursday

Job Description

We are looking for a dynamic and enthusiastic female IT sales executive to join our team. The role involves identifying and pursuing new sales opportunities specifically for IT hardware products.

Requirements

Freshers or experienced candidates are welcome

Immediate joining

Strong communication and interpersonal skills

Passion for sales and willingness to learn

Basic understanding of IT hardware is a plus

How To Apply

📱 Send your CV via WhatsApp only (no calls, please): 96757597

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Location : Hawally , Kuwait

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Posted : 3 days ago

Job Type : Full-Time

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Role:Hiring 1 Driver

Driver

Job Id :100198400

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Hiring visa 18 driver for restaurant but we will not transfer visa.

Company will provide car n petrol. Duty 10 hrs salary 230 kd and weekly 1 day off.

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Location : Al Qurain , Kuwait

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Posted : 15 days ago

Job Type : Full-Time

Company : Kuwait Jobs

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Mobile : +965 60953367

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Role:Job Requisition ID: 182415

About Al-Futtaim

Established in the 1930s, Al-Futtaim is one of the most diversified and progressive privately held regional businesses, headquartered in Dubai. Operating across more than 20 countries, the Group spans automotive, financial services, real estate, retail and health. With more than 40,000 employees, Al-Futtaim represents over 200 of the world’s most recognised brands, including Toyota, Lexus, IKEA, ACE and Marks & Spencer. Driven by its purpose to enrich lives and elevate communities, Al-Futtaim focuses on digital innovation, AI, sustainable growth and strategic partnerships, creating long-term value for customers, communities and partners while building a responsible legacy for future generations.

About The Role

We are looking for an experienced AI / ML Engineer to design, build, and operationalize Artificial Intelligence and Machine learning systems that deliver measurable business value. This role takes models from experimentation to robust, scalable production services.

You will partner with domain experts and product managers to translate business problems into well-engineered AI solutions, spanning classical ML, LLMs, RAG and emerging agentic AI workflows. The position suits an engineer who is equally comfortable training and fine-tuning models, building reliable data and inference pipelines, and owning the MLOps lifecycle that keeps those systems performant, governed, and cost-efficient in production.

This is a high-impact role for someone who wants to shape how AI is deployed responsibly and at scale across the enterprise.

Key Responsibilities

Develop and integrate generative AI and LLM-based solutions, including prompt engineering, RAG architectures, embeddings/vector search, fine-tuning, and evaluation of model outputs.

Design and implement agentic AI workflows — orchestrator/sub-agent topologies, tool/function calling, and integrations via protocols such as the Model Context Protocol (MCP) with appropriate guardrails and human-in-the-loop controls.

Design, develop, train, and deploy machine learning and deep learning models for production use cases (e.g., prediction, classification, NLP, recommendation, computer vision).

Build and maintain end-to-end ML pipelines covering data ingestion, feature engineering, model training, evaluation, deployment, and monitoring.

Operationalize models through robust MLOps practices: CI/CD for ML, model versioning, automated retraining, A/B testing, and performance/drift monitoring.

Collaborate with data engineers to ensure reliable, well-governed data flows and feature stores supporting model performance.

Optimize models and inference infrastructure for latency, throughput, scalability, and cost.

Implement observability, logging, and alerting for deployed AI systems; diagnose and resolve issues including data drift, model degradation, and quality regressions.

Embed responsible AI principles — fairness, explainability, security, privacy, and compliance — into the design and deployment lifecycle.

Contribute to architecture decisions, code reviews, technical documentation, and engineering best practices.

Translate ambiguous business requirements into clear technical solutions and communicate outcomes to both technical and non-technical stakeholders.

Required Skills & Experience

Technical

3–7+ years of hands-on experience building and deploying AI/ML systems in production

Strong programming skills in Python, with solid software engineering fundamentals (testing, version control, modular design, code review).

Practical experience with LLMs and generative AI — including prompt design, RAG, embeddings, vector databases, and model evaluation.

Proven experience with ML frameworks such as scikit-learn, PyTorch, and/or TensorFlow.

Solid grounding in core ML/DL concepts: supervised/unsupervised learning, model evaluation, feature engineering, NLP, and neural network architectures.

Experience deploying models as production services (REST/gRPC APIs, containerization, batch and real-time inference).

Strong data skills: SQL, data manipulation (e.g., pandas/Spark), and working with large, real-world datasets.

Experience with at least one major cloud platform (Azure, AWS, or GCP) and its ML services.

Familiarity with MLOps tooling and the practical realities of model monitoring, retraining, and lifecycle management.

Functional

Ability to translate business problems into well-scoped, measurable AI solutions.

Strong analytical and problem-solving skills with a pragmatic, outcome-focused mindset.

Clear written and verbal communication; able to explain technical trade-offs to diverse stakeholders.

Comfortable working in cross-functional, agile teams and collaborating across data, product, and engineering.

Sound judgment on model risk, data governance, and responsible AI considerations.

Preferred Qualifications

Experience fine-tuning or adapting foundation models

Hands-on work with agentic frameworks (e.g., LangChain, LangGraph, LlamaIndex, Semantic Kernel, or equivalent) and multi-agent orchestration.

Experience building RAG pipelines at scale, including chunking strategy, retrieval tuning, and grounding/evaluation.

Familiarity with distributed training, GPU optimization, and model serving at scale.

Experience with streaming/real-time data and event-driven architectures.

Exposure to AI governance frameworks, model risk management, red-teaming, or DPIA-style assessments.

Domain experience in a regulated industry (e.g., financial services, insurance/reinsurance, healthcare) is a plus.

Contributions to open-source projects, publications, or a portfolio of applied AI work.

Education & Certifications

Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Engineering, Mathematics, Statistics

Relevant certifications are advantageous, for example:

Cloud/ML certifications (e.g., Azure AI Engineer / Azure Data Scientist, AWS Machine Learning, Google Cloud ML Engineer).

Databricks ML / Data Engineer certifications.

Vendor or framework-specific GenAI / agentic AI credentials.

Tools & Technologies

Languages: Python (primary); SQL

GenAI / LLMs: OpenAI, Anthropic (Claude), Azure OpenAI, open-weight models (e.g., Llama, Mistral); LangChain / LangGraph / LlamaIndex; MCP for tool and context integration.

Vector / Retrieval: FAISS, Pinecone, Weaviate, pgvector, or similar.

Data & Compute: Spark, Databricks, Pandas, Delta Lake; feature stores.

Cloud & ML Platforms: Azure ML or AWS SageMaker, or Google Vertex AI.

ML / DL: scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers.

MLOps & DevOps: MLflow, Docker, Kubernetes, CI/CD pipelines, Git; experiment tracking and model registry.

Monitoring & Observability: drift/performance monitoring, evaluation harnesses, logging and alerting tooling.

Nice-to-Have / Differentiators

Experience taking AI systems from prototype to production with safety controls (guardrails, prompt-injection defenses, kill-switches, human-in-the-loop review).

Track record of optimizing inference cost and latency for LLM-based applications at scale.

Experience designing evaluation frameworks for non-deterministic GenAI outputs (quality, factuality, safety).

Familiarity with enterprise AI governance, model documentation, and audit/compliance requirements.

Strong product sense — understanding how AI features create user and business value, not just model metrics.

Experience integrating AI into existing enterprise systems and workflows with minimal disruption.

About Orient Insurance PJSC

Orient Insurance Company commenced operations in 1982 as a part of the reputed Al-Futtaim Group and has since recorded a progressively steady growth. The Company is counted among the leaders in the UAE insurance market. Orient Insurance Company has a paid-up capital of AED 500 Million which is the highest in the insurance industry in UAE. With head office in Dubai, the company serves its clientele through an extensive branch network in Jebel Ali, Abu Dhabi, Al Ain, Sharjah and Ras Al Khaimah in UAE, Muscat in Sultanate of Oman, Riyadh in Kingdom of Saudi Arabia and Bahrain.

Role:About Jack Westin

Jack Westin is a leading Medical College Admissions Test (MCAT) preparation company which is known for crafting high quality, but free, practice materials. The MCAT tests students on the scientific reasoning skills and scientific knowledge which can be learned during typical undergraduate coursework.

Our Three Principles

As we continue to grow and help students, we are guided by three major principles that we believe are vital to our community.

Attention to quality

We only create courses and practice questions that we would use. That means having the best, first-class teaching content that can possibly exist. We're not satisfied with mediocrity. We don't care about the amount of time or money it takes to get something done right. If it's not perfect, we won't stop until we believe it is. This ethos runs deep within our company.

Excellence in support

We're obsessed with our students. Their well-being and success drives us each day. Great customer service is not an afterthought. It is the most important service we can offer. We understand that our students come from different learning backgrounds. It's our mission to ensure that each one has an amazing experience.

Learn from anywhere at anytime

We are committed to building the future of education on the internet so that it is easily accessible to all students from around the world. Our dedication is to all students who want to learn, regardless of their pace, and no matter what time of the day it is.

About the Role (Remote | $2,000–$2,500/month)

We are hiring a Senior PHP Laravel Software Engineer to lead backend architecture, mentor engineering teams, and build high-performance, scalable systems for JackWestin’s online learning platform. This role requires strong technical leadership and deep Laravel expertise.

You will work closely with the team lead, Product, frontend, and QA to turn features into reliable, well-designed services, and you will be expected to contribute to technical planning and architecture decisions, not simply execute predefined tickets.

Responsibilities

Lead backend architecture and technical decisions.

Design scalable and secure distributed systems.

Develop and maintain the PHP services and APIs that power our online learning platform.

Build and optimize high-performance APIs and services.

Work with the team lead to clarify the technical approach, break features into manageable tasks, and flag dependencies or blockers early.

Lead technical planning and estimation.

Design and update database schemas, write migrations, and optimize queries as the platform grows.

Build and maintain integrations with third-party services, including payment and video providers.

Write automated tests for new features and bug fixes, review teammates’ merge requests, and document API changes that affect other teams.

Review and enforce engineering best practices.

Mentor junior and mid-level engineers.

Collaborate with frontend developers, Product, QA, and business stakeholders to agree on API contracts, clarify expected behavior, and verify features before release.

Handle critical production incidents: investigate issues using logs and monitoring, fix root causes, and add regression tests where appropriate.

Improve the security, performance, scalability, and maintainability of existing services through regular fixes and refactoring.

Improve CI/CD and deployment workflows.

Drive engineering process improvements.

What We’re Looking For

6+ years of PHP development experience.

Deep Laravel framework expertise.

Advanced database architecture knowledge.

Strong system design and scalability experience.

Experience with queues, Redis, caching, and event-driven systems.

CI/CD and DevOps understanding.

Cloud infrastructure experience (AWS, GCP, DigitalOcean, etc.).

Strong debugging and performance optimization skills.

Leadership and mentoring experience.

Nice to have

Microservices architecture.

Kubernetes and container orchestration.

Event sourcing/CQRS knowledge.

High-traffic application experience.

Security auditing experience.

What We Offer

100% remote, full-time position

$2,000–$2,500/month (depending on experience)

Real ownership and impact

Role:Company Description

Jumeira University Training Institute (JUConnect) is the professional training arm of Jumeira University in Dubai, authorized by KHDA UAE. It provides industry-relevant training programs that bridge academic knowledge with practical skills. JU Connect is the Specialized training and development wing of Jumeira University, established to support business organizations, students, professionals, schools and education providers across the UAE with internationally benchmarked, practice-driven industry recognized and UAE Local Authorities.

Role Description

The Business Development Manager will be responsible for driving revenue growth, expanding market presence, and establishing strategic partnerships for Jumeira University Training Institute (JUConnect). The role focuses on promoting training programs, securing corporate clients, and identifying new business opportunities aligned with the institute’s mission of delivering industry-relevant, practice-driven learning solutions.

Key Responsibilities:

Business Development & Revenue Growth

Identify and develop new business opportunities across corporate, government, and individual training segments

Achieve revenue targets through program sales, corporate training contracts, and partnerships

Promote key training areas such as AI, Business, Digital Skills, and Language Programs

Develop and execute sales strategies to increase enrollments and institutional collaborations

Corporate & Institutional Partnerships

Build and maintain relationships with corporate clients, schools, and government entities

Design customized training solutions for organizations (L&D, leadership, digital transformation)

Collaborate with internal teams to tailor programs based on client requirements

Market Expansion & Strategy

Conduct market research to identify trends, competitor offerings, and emerging training demands

Explore new segments such as international students, lifelong learners, and career switchers

Develop go-to-market strategies for new programs, bootcamps, and certifications

Marketing & Lead Generation

Work closely with marketing team to plan campaigns, events, and promotions

Generate leads through networking, exhibitions, digital platforms, and partnerships

Represent the institute at industry events, education fairs, and corporate meetings

Client Relationship Management

Manage the full sales cycle: lead generation, proposal development, negotiation, and closure

Ensure high client satisfaction and repeat business

Maintain CRM records and prepare regular reports on pipeline and performance

Internal Coordination

Coordinate with academic and training teams to align offerings with market needs

Support program development based on industry demand

Ensure compliance with KHDA and institutional requirements where applicable

Qualifications and Skills required

Bachelor degree in Business Administration, Marketing, or related field (Master’s preferred).

Minimum 5–8 years of experience in business development, preferably in Training institutes, Education sector / EdTech or Corporate L&D solutions.

Strong network within UAE corporate, education, or government sectors is highly preferred.

Proven track record in sales, business development, and revenue generation.

Strong negotiation and deal-closing skills.

Excellent communication, presentation, and proposal development abilities.

Strategic thinking with strong market analysis and opportunity identification skills.

Ability to design and sell customized training / learning solutions.

Strong relationship management and stakeholder engagement skills.

Good understanding of UAE training and education landscape (KHDA exposure is a plus).

Proficiency in Arabic language is highly preferred.

Interested candidates may also send their CV to hr@ju.ac.ae

Please apply only if you meet the eligibility criteria for the position. Applications that do not meet the requirements will not be considered.

Role:Description

Zutari designs transport systems that connect people, enable trade, and unlock economic growth across Africa and the Middle East. Our work spans roads, rail, transit, and integrated mobility systems that are safe, efficient, and future-ready.

We are seeking individuals passionate about mobility solutions that go beyond infrastructure and help shape the way cities and regions move.

About the role:

We employ high-performing talent with the right attitude and a positive mindset, who are motivated by doing the right thing, getting things done, and share a sense of urgency. People who have an impact on our teams and the broader community. People who think differently and connect with those around them to co-create new opportunities and leave a meaningful legacy.

We offer an exciting opportunity for a dynamic and inspiring Roads & Highways Design Engineer

Key responsibilities:

The role involves leading and devising solutions responding to a wide range of projects including:

Design and development of road infrastructure projects, including feasibility studies, conceptual and detailed designs, and preparation of technical specifications.

Conduct engineering assessments, analyse data, and evaluate road conditions to identify and recommend appropriate design solutions.

Collaborate with multidisciplinary teams to integrate road design with other infrastructure elements, including but not limited to drainage, utility, street lighting and landscaping disciplines.

Ensure compliance with relevant regulations, codes, and standards throughout road project design and construction phases.

Supervise and monitor junior engineers, providing guidance and technical support to facilitate their technical development.

Liaise with clients, authorities, and other stakeholders to effectively communicate project requirements, resolve technical issues, and addressing any concerns.

Monitor project progress, review design changes and manage risks to ensure successful project delivery.

Support in the preparation of technical reports, feasibility studies and cost estimates, contributing to the development of proposals and bids.

Ensure, as far as is practically possible, that all assigned work is carried out in compliance with the agreed budget and schedule.

Maintain required technical quality of work.

Keep up to date with technical developments, national and international standards and legislative requirements related to discipline work scope.

Assist Lead Engineer and others when requested in the execution of their responsibilities and duties.

Qualifications and Experience:

Bachelor’s degree in civil engineering with 3-5 years of experience.

Professional engineering accreditation from a recognized institution is preferred.

Proven experience in designing and managing road infrastructure projects, preferably within an engineering consultancy environment.

In depth working knowledge of Dubai and other Middle East Road design standards, regulations, and best practices in the region.

Strong analytical and problem-solving skills, with the ability to assess complex engineering challenges and propose effective solutions.

Excellent project management abilities, including the capacity to prioritize tasks, manage deadlines and allocate resources effectively.

Strong technical knowledge of highway design principles, standards and software skills (AutoCAD, Civil 3D, and MicroStation).

Able to create base design models from agreed work scope.

Computer literate (database / spreadsheets); Data analyses / and proficient in Excel.

Ability to accept delegated responsibility for designated tasks.

Arabic and English written and verbal communication skills.

We believe that a diverse work force is key to our business success. We seek the best people for our jobs based on their skills, qualifications, and experience. We embrace the principle of equal opportunity in employment, and we work towards eliminating all forms of unlawful discrimination in our employment practices. In support of diversity and the equal opportunity principle, preference will be given to individuals from designated groups.

Role:Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation, and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in 75+ countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution.

The company is founder-led, profitable, and growing.

We are hiring a Senior Site Reliability / Gitops Engineer to our Information Systems (IS) team. This role is an opportunity for an “automation-first” senior technologist with a passion for Linux to build a career with Canonical and drive the success with those leveraging Ubuntu and open source products. If you have experience of IT operations automation, Infrastructure as Code and a passion for technology, then you will enjoy working with some of the best people in the industry at Canonical.

Job Summary

The IS team at Canonical supports and maintains all of Canonical’s IT production services. The team is in charge of running services used by over 60 million Ubuntu users.

As an Senior SRE & Gitops engineer you’ll be in a unique position to drive operations automation to the next level, both in our own private clouds as well as in the public clouds. We do this by utilizing the best of open source infrastructure as code software, software development practices such as CI/CD pipelines, and Canonical’s leading products for software operation automation.

In addition to defining the infrastructure as code, you will improve Canonical products and the open-source technologies they’re based on by providing critical feedback to developers on how their products operate at scale. This is done by submitting bugs (and sometimes writing pull requests) and collaborating on design and implementations with other teams within the company.

You’ll be part of a global team of SREs that work together and support each other to provide the best possible services to our company, Canonical’s customers and the Ubuntu Community.

As a Senior Site Reliability / Gitops Engineer you will

Drive the development of automation, Gitops in your team as an embedded tech lead

Closely collaborate with the IS architect to align your solutions with the IS architecture vision

Design and architect services that IS can offer to the organization as products

Apply your experience of IaC to develop infrastructure as code practice within IS by constantly increasing automation and improving IaC processes

Automate software operations for re-usability and consistency across private and public clouds, taking into consideration the complexities of distributed systems

Maintain operational responsibility for all of Canonical’s core services, networks, and infrastructure

Develop skills in troubleshooting, capacity planning, and performance investigation, Setting up, maintaining and using observability tools such as Prometheus, Grafana, and Elasticsearch; design, implement and maintain monitoring and alerting for various systems and services

Provide assistance and work with globally distributed engineering, operations, and support peers

Be given uninterrupted development time to focus on larger projects and automation of manual tasks

Share your experience, know-how and best practices with other team members in design sessions, mentorship and ‘doing work together’

Carry final responsibility for time-critical escalations

What we are looking for in you

A modern view on hosting architecture, driven by infrastructure as code across both private and public clouds.

A product mindset thriving to develop products rather than solutions.

Python software development experience, with large projects

Experience working with Kubernetes or other container orchestration systems.

Proven exposure to manage and deploy cloud infrastructure with code.

Practical knowledge of Linux networking, routing, and firewalls

Affinity with various forms of Linux storage, from Ceph to Databases

Hands-on experience administering enterprise Linux servers

Extensive knowledge of cloud computing concepts and technologies

Bachelor's degree or greater, preferably in computer science or related engineering field

Able to communicate clearly and effectively in English over email, chat, video or voice calls and in-person

Motivated and able to troubleshoot from kernel to web, and willing to ask others when appropriate

A willingness to be flexible and able to learn new things quickly

Be inspired by the needs of fast-changing environments

Happy to work within distributed teams

Be passionate and familiarized about open-source, especially Ubuntu or Debian

What we offer colleagues

We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally.

Distributed work environment with twice-yearly team sprints in person

Personal learning and development budget of USD 2,000 per year

Annual compensation review

Recognition rewards

Annual holiday leave

Maternity and paternity leave

Team Member Assistance Program & Wellness Platform

Opportunity to travel to new locations to meet colleagues

Priority Pass and travel upgrades for long-haul company events

About Canonical

Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open-source projects and the platform for AI, IoT, and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence; in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since our inception in 2004. Working here is a step into the future and will challenge you to think differently, work smarter, learn new skills, and raise your game.

We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.

Role:We are seeking an experienced and commercially driven Senior Sales Manager to lead the growth of our client Data & AI business across Saudi Arabia. The role will focus on developing strategic client relationships, acquiring new enterprise accounts, driving revenue growth and building technology partnerships within the Data & AI ecosystem.

The successful candidate will lead the full enterprise sales lifecycle, engaging C-suite stakeholders and positioning solutions across data engineering, cloud data platforms, data governance, analytics, AI, machine learning and Generative AI. They will also work closely with internal presales and technical teams to shape solutions that address client business challenges and deliver measurable outcomes.

Key Requirements:

8+ years of enterprise technology sales experience, with a strong track record in Data & AI.

Proven ability to achieve revenue and sales targets, win new business and grow strategic enterprise accounts.

Strong understanding of Data & AI solutions, cloud platforms, analytics, AI/ML and Generative AI.

Established relationships with C-level executives and key decision-makers across Saudi Arabia.

Experience managing complex enterprise sales cycles, commercial negotiations and strategic technology partnerships.

Exposure to sectors such as government, financial services, telecom, healthcare or education.

Strong executive communication, presentation and stakeholder management skills.

Fluency in Arabic and English is essential.

Role:About the role

As a Staff Engineer on the Credit Scoring & Underwriting squad, you'll lead the technical architecture and execution across credit insights products. That means the insights and data platform our lenders already build on, and the new products we're putting on top of it.

It's a hands-on job. You'll write production code, and you'll be the person the team pulls in when a problem is hard or badly defined. You'll also put real time into helping the engineers around you get better, through code reviews and mentoring.

About Lean

Lean is the leading financial infrastructure provider in the Middle East. We power some of the region's largest companies with APIs that enable payments, account verification, financial data access, and other critical financial infrastructure.

What started as the region's pioneering Open Banking platform and quickly became the de facto leader in account aggregation and payment initiation in the region is now becoming something bigger: a multi-product infrastructure company powering payments, data, and lending across MENA.

We've processed billions of dollars in transactions. We're trusted by 350+ clients — from Tabby and Tas'heel to Hungerstation — and backed by General Catalyst, Sequoia, and Shorooq. Our $67.5M Series B was just the beginning. We're expanding into new markets, opening offices, acquiring businesses, and building capabilities that didn't exist here before.

What you'll own

Own the architecture and technical roadmap of the insights and data platform, and pick up the problems in the squad that don't have a clear answer yet

Build new financial data products, and write a good share of the production code yourself

Keep the production APIs inside our clients' application flows in KSA and the UAE fast and reliable. When something breaks, you lead the response

Work with Product, Data Science and DevOps to plan and scale insights products for credit underwriting

Represent Lean in technical sessions with lenders, partners and regulators

Mentor engineers and set the squad's engineering standards

What we're looking for

Must-have:

10+ years of backend engineering, with deep Java and Spring Boot experience and several years designing and running microservices in production

You've built and run distributed, event-driven systems in production, using Kafka or something similar

Experience with data-intensive backend applications in large distributed systems

You've owned latency and availability targets in production and used tools like Prometheus and Grafana to meet them

Working knowledge of infrastructure (Kubernetes, cloud, CI/CD) and security

You use AI coding tools such as Claude Code every day, for design, coding, testing and review

You've led architecture across several services and influenced decisions without formal authority. You can explain technical risk to engineers, leadership and clients in terms each of them understands

Good product judgement. You know when to ship and when to pay down technical debt, and you move fast when it matters

Experience in fintech

Nice-to-have:

ClickHouse or another analytical database at scale

Running ML in production (feature and training pipelines, model serving, monitoring)

Experience with credit risk, underwriting or lending products

Working proficiency in Python

Arabic

NB. While we think the above experience could be important, we’re keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply!!

Why Join us?

We’re building the financial infrastructure for MENA. Not as a slogan, as a fact.

Since 2019, we’ve become the first regulated Open Banking and Open Finance company operating across the UAE and Saudi Arabia. We’ve processed billions of dollars. We connect millions of accounts. We enable companies like Binance, Careem, and Etisalat to build products that were previously impossible in this region.

Our recent $67.5M Series B from General Catalyst and Sequoia isn’t just validation: it’s fuel. We’re expanding into new markets, launching new products, and setting the pace for what financial innovation looks like in MENA.

We solve hard problems. We move fast. We hold ourselves to a high standard. And we’re looking for people who’ve done this before to help us do it right.

If you’re motivated by building something that lasts, not just something that scales, Lean is where you need to be.

Not only do we offer competitive salaries, private healthcare, and flexible office hours, but we also insist that every member of the team hold a meaningful equity stake in the business to ensure long-term alignment. We'd love you to join us for this journey!

Lean is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

When applying for a job at Lean Technologies, we will need to collect, use and share Personal Data about you with different members of our team during the application process. This may mean transferring your data to members of the team in one of our office locations worldwide outside of the country you are in. Please refer to our Privacy Notice on our website for more information about how we may use and store your Personal Data