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python and kubernetes software engineer - data, workflows, ai/ml & analytics Jobs in Jeddah

python and kubernetes software engineer - data, workflows, ai/ml & analytics

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quality assurance engineer

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security software engineer

machine learning engineer

Canonical

<div>
 Canonical is a leading provider of open source software and operating systems to the global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1000+ colleagues in 70+ countries and very few roles based in offices. 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
 
 Python and Kubernetes Specialist Engineers focused on Data, Workflows, AI/ML and Analytics Solutions
 
 to join our teams building open source solutions for public cloud and private infrastructure.
 
 
 As a software engineer on the team, you'll collaborate on end-to-end data analytics and MLOps solutions composed of popular, open-source, machine learning tools, such as Kubeflow, MLFlow, DVC, and Feast. You may also work on ETL, data governance and visualization tools like Apache SuperSet, dbt, workflow orchestration tools such as Airflow and Temporal, or data warehouse solutions such as Apache Trino, or ClickHouse. These solutions may be run on servers or on the cloud, on machines or on Kubernetes, on developer desktops, or as web services.
 
 
 We serve the needs of individuals and community members as much as the needs of our Global 2000 and Fortune 500 customers; we make our primary work available free of charge and our Pro subscriptions are also available to individuals for personal use at no cost. Our goal is to enable more people to enjoy the benefits of open source, regardless of their circumstances.
 
 
 
 Location:
 
 This initiative spans many teams that are home-based and in multiple time zones. We believe in distributed collaboration but we also try to ensure that colleagues have company during their work hours! Successful candidates will join a team where most members and your manager are broadly in the same time zone so that you have the benefits of constant collaboration and discussion.
 
 
 
 What your day will look like
 
 
 
 <ul>
 <li>
 Develop your understanding of the entire Linux stack, from kernel, networking, and storage, to the application layer
 </li>
 <li>
 Design, build and maintain solutions that will be deployed on public and private clouds and local workstations
 </li>
 <li>
 Master distributed systems concepts such as observability, identity, tracing
 </li>
 <li>
 Work with both Kubernetes and machine-oriented open source applications
 </li>
 <li>
 Collaborate proactively with a distributed team of engineers, designers and product managers
 </li>
 <li>
 Debug issues and interact in public with upstream and Ubuntu communities
 </li>
 <li>
 Generate and discuss ideas, and collaborate on finding good solutions
 
 
 </li>
 </ul>
 
 What we are looking for in you
 
 
 
 <ul>
 <li>
 Professional or academic software delivery using Python
 </li>
 <li>
 Exceptional academic track record from both high school and university
 </li>
 <li>
 Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path
 </li>
 <li>
 Confidence to respectfully speak up, exchange feedback, and share ideas without hesitation
 </li>
 <li>
 Track record of going above-and-beyond expectations to achieve outstanding results
 </li>
 <li>
 Passion for technology evidenced by personal projects and initiatives
 </li>
 <li>
 The work ethic and confidence to shine alongside motivated colleagues
 </li>
 <li>
 Professional written and spoken English with excellent presentation skills
 </li>
 <li>
 Experience with Linux (Debian or Ubuntu preferred)
 </li>
 <li>
 Excellent interpersonal skills, curiosity, flexibility, and accountability
 </li>
 <li>
 Appreciative of diversity, polite and effective in a multi-cultural, multi-national organisation
 </li>
 <li>
 Thoughtfulness and self-motivation
 </li>
 <li>
 Result-oriented, with a personal drive to meet commitments
 </li>
 <li>
 Ability to travel twice a year, for company events up to two weeks long
 
 
 </li>
 </ul>
 
 Additional skills that would be nice to have
 
 
 
 The following skills may be helpful to you in the role, but we don't expect everyone to bring all of them.
 
 
 <ul>
 <li>
 Proven track record of building highly automated machine learning solutions, data pipelines, or orchestrating workflows for the cloud.
 </li>
 <li>
 Hands-on experience with machine learning libraries, or tools.
 </li>
 <li>
 Experience with container technologies (Docker, LXD, Kubernetes, etc.)
 </li>
 <li>
 Experience with public clouds (AWS, Azure, Google Cloud)
 </li>
 <li>
 Working knowledge of cloud computing
 </li>
 <li>
 Passionate about software quality and testing
 </li>
 <li>
 Experience working on an open source project
 
 
 </li>
 </ul>
 
 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 recognise 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.
 
 
 <ul>
 <li>
 Distributed work environment with twice-yearly team sprints in person
 </li>
 <li>
 Personal learning and development budget of USD 2,000 per year
 </li>
 <li>
 Annual compensation review
 </li>
 <li>
 Recognition rewards
 </li>
 <li>
 Annual holiday leave
 </li>
 <li>
 Maternity and paternity leave
 </li>
 <li>
 Employee Assistance Programme
 </li>
 <li>
 Opportunity to travel to new locations to meet colleagues
 </li>
 <li>
 Priority Pass, and travel upgrades for long haul company events
 
 
 </li>
 </ul>
 
 About Canonical
 
 
 
 Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004. Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game.
 
 
 
 Canonical is an equal opportunity employer
 
 
 
 We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration.
 
 
</div>

Python and Kubernetes Software Engineer - Data, Workflows, AI/ML & Analytics

Agoda

<div>
 Bangkok, Thailand
 
 
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose &ndash;
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world&rsquo;s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #IT #4
 
 
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
 Copy Link Line WeChat LinkedIn Email
 
 
</div>

Lead DS (Data Scientist) Bangkok based, Relocation provided

<div>
 Bangkok, Thailand
 
 
 
 About Agoda
 
 
 
 Agoda is an online travel booking platform for accommodations, flights, and more. We build and deploy cutting-edge technology that connects travelers with a global network of 4.7M hotels and holiday properties worldwide, plus flights, activities, and more. Based in Asia and part of Booking Holdings, our 7,100+ employees representing 95+ nationalities in 27 markets foster a work environment rich in diversity, creativity, and collaboration. We innovate through a culture of experimentation and ownership, enhancing the ability for our customers to experience the world.
 
 
 
 Our Purpose &ndash;
 
 
 Bridging the World Through Travel
 
 
 
 We believe travel allows people to enjoy, learn and experience more of the amazing world we live in. It brings individuals and cultures closer together, fostering empathy, understanding and happiness.
 
 
 We are a skillful, driven and diverse team from across the globe, united by a passion to make an impact. Harnessing our innovative technologies and strong partnerships, we aim to make travel easy and rewarding for everyone.
 
 
 
 Get to Know Our Team
 
 
 
 The Data department , based in Bangkok , oversees all of Agoda&rsquo;s data-related requirements. Our ultimate goal is to enable and increase the use of data in the company through creative approaches and the implementation of powerful resources such as operational and analytical databases, queue systems, BI tools, and data science technology. We hire the brightest minds from around the world to take on this challenge and equip them with the knowledge and tools that contribute to their personal growth and success while supporting our company&rsquo;s culture of diversity and experimentation. The role the Data team plays at Agoda is critical as business users, product managers, engineers, and many others rely on us to empower their decision making. We are equally dedicated to our customers by improving their search experience with faster results and protecting them from any fraudulent activities. Data is interesting only when you have enough of it, and we have plenty. This is what drives up the challenge as part of the Data department, but also the reward.
 
 
 
 The Opportunity
 
 
 
 
 Please note -The role will be based in Bangkok.
 
 
 
 We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
 
 
 As part of the Data Science and Machine Learning (AI/ML) team you will be exposed to real-world challenges such as: dynamic pricing, predicting customer intents in real time, ranking search results to maximize lifetime value, classifying and deep learning content and personalization signals from unstructured data such as images and text, making personalized recommendations, innovating algorithm-supported promotions and products for supply partners, discovering insights from big data, and innovating the user experience. To tackle these challenges, you will have the opportunity to work on one of the world&rsquo;s largest ML infrastructure employing dozens of GPUs working in parallel, 30K+ CPU cores and 150TB of memory.
 
 
 
 In This Role, You&rsquo;ll Get to
 
 
 
 <ul>
 <li>
 Design, code, experiment and implement models and algorithms to maximize customer experience, supply side value, business outcomes, and infrastructure readiness
 </li>
 <li>
 Mine a big data of hundreds of millions of customers and more than 600M daily user generated events, supplier and pricing data, and discover actionable insights to drive improvements and innovation
 </li>
 <li>
 Work with developers and a variety of business owners to deliver daily results with the best quality
 </li>
 <li>
 Research discover and harness new ideas that can make a difference
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Need To Succeed
 
 
 
 <ul>
 <li>
 4+ years hands-on data science experience
 </li>
 <li>
 Excellent understanding of AI/ML/DL and Statistics, as well as coding proficiency using related open source libraries and frameworks
 </li>
 <li>
 Significant proficiency in SQL and languages like Python, PySpark and/or Scala
 </li>
 <li>
 Can lead, work independently as well as play a key role in a team
 </li>
 <li>
 Good communication and interpersonal skills for working in a multicultural work environment
 
 
 </li>
 </ul>
 
 It&rsquo;s Great if You Have
 
 
 
 <ul>
 <li>
 PhD or MSc in Computer Science / Operations Research / Statistics or other quantitative fields
 </li>
 <li>
 Experience in NLP, image processing and/or recommendation systems
 </li>
 <li>
 Hands on experience in data engineering, working with big data framework like Spark/Hadoop
 </li>
 <li>
 Experience in data science for e-commerce and/or OTA
 
 
 </li>
 </ul>
 
 We welcome both local and international applications for this role. Full visa sponsorship and relocation assistance available for eligible candidates.
 
 
 
 #sanfrancisco #sanjose #losangeles #sandiego #oakland #denver #miami #orlando #atlanta #chicago #boston #detroit #newyork #portland #philadelphia #dallas #houston #austin #seattle #sydney #melbourne #perth #toronto #vancouver #montreal #shanghai #beijing #shenzhen #prague #Brno #Ostrava #cairo #alexandria #giza #estonia #paris #berlin #munich #hamburg #stuttgart #cologne #frankfurt #hongkong #budapest #jakarta #bali #dublin #telaviv #milan #rome #venice #florence #naples #turin #palermo #bologna #tokyo #osaka #kualalumpur #malta #amsterdam #oslo #manila #warsaw #krakow #doha #alrayyan #riyadh #jeddah #mecca #medina #singapore #seoul #barcelona #madrid #stockholm #zurich #taipei #tainan #taichung #kaohsiung #bangkok #Phuket #istanbul #london #manchester #edinburgh #hcmc #hanoi #lodz #wroclaw #poznan #katowice #rio #salvador #newdelhi #bangalore #bandung #yokohama #nagoya #okinawa #fukuoka #jerusalem #mumbai #bengalulu #hyderabad #pune # #IT #4
 
 
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
 Copy Link Line WeChat LinkedIn Email
 
 
</div>

Senior Data Scientist (Bangkok based, relocation provided)

Lucidya | لوسيديا

<div>
 The Data Engineer will play a crucial role in building and maintaining the data infrastructure at Lucidya. This role involves designing, developing, and managing scalable and robust data pipelines that support the analytics and machine learning teams. The Data Engineer will ensure that data is accessible, reliable, and organized to meet the growing analytical needs of the company.
 
 
 The ideal candidate will have a strong background in data modeling, ETL processes, and database technologies. In addition to technical skills, the Data Engineer should possess excellent problem-solving abilities and a proactive attitude toward collaboration with other teams.
 
 
 Key responsibilities include:
 
 
 <ul>
 <li>
 Designing and implementing ETL processes to move and transform data from various sources
 </li>
 <li>
 Building and maintaining the data infrastructure necessary for data storage, processing, and analysis
 </li>
 <li>
 Collaborating with data analysts and data scientists to understand their data needs and provide relevant support
 </li>
 <li>
 Ensuring data quality and integrity throughout the data lifecycle
 </li>
 <li>
 Optimizing data storage and retrieval processes for performance and scalability
 </li>
 <li>
 Documenting data flows, transformations, and any changes to data architecture
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology, or a related field
 </li>
 <li>
 3+ years of experience in a Data Engineer or similar role
 </li>
 <li>
 Strong knowledge of SQL and experience with database technologies (e.g., PostgreSQL, MySQL)
 </li>
 <li>
 Proficient in programming languages such as Python, Java, or Scala
 </li>
 <li>
 Experience with ETL tools and frameworks (e.g., Apache Airflow, Talend, or similar)
 </li>
 <li>
 Familiarity with cloud platforms (e.g., AWS, Google Cloud Platform, Azure) and their data services
 </li>
 <li>
 Knowledge of big data technologies (e.g., Hadoop, Spark) is a plus
 </li>
 <li>
 Strong attention to detail and ability to ensure data accuracy and consistency
 </li>
 <li>
 Excellent communication skills and ability to work collaboratively with cross-functional teams
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 
 
 Why Join Us?
 
 
 
 
 This is more than just an engineering role&mdash;it's an opportunity to
 
 shape the infrastructure and technical future of Lucidya
 
 . You'll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.
 
 
 We offer
 
 Employee Stock Option Plans (ESOP)
 
 to give you ownership in the company's success, along with
 
 performance-based bonuses
 
 to reward your impact and dedication. As part of a fast-growing team, you'll have the autonomy to lead, innovate, and grow&mdash;both personally and professionally.
</div>

Data Engineer (Saudi-based only)

SALLA

<div>As the Head of Engineering for our Payment/Fintech division, you will oversee the development and optimization of our payment processing systems, including fraud detection, payout systems, and improving payment acceptance rates. You will lead the engineering team, set strategic technical direction, and collaborate with other departments to ensure the platform is secure, scalable, and efficient. Your experience in payment systems, fraud detection, and systems monitoring will be critical in safeguarding transactions and maintaining optimal platform performance.<h3 class="jobSectionHeader">
Key Responsibilities</h3>
Supervisory &amp; Leadership Responsibilities:<ul>
<li>Engineering Standards &amp; Practices: Establish high engineering standards for the development of secure, scalable, and efficient payment and fraud detection systems, ensuring compliance with industry regulations.</li>
<li>Team Leadership &amp; Mentorship: Lead and mentor cross-functional engineering teams (including back-end, front-end, QA) with a focus on professional development, fostering innovation and ownership.</li>
<li>Cross-Functional Collaboration: Collaborate with Product, Compliance, Risk, and Finance teams to ensure payment systems, fraud detection protocols, and monitoring tools are aligned with business needs and regulatory standards.</li>
<li>Hiring &amp; Team Development: Recruit, develop, and retain top talent in payment and fintech engineering, fostering a culture of continuous learning and professional growth.</li>
</ul>Strategic Responsibilities:
<ul><li>Payment Infrastructure Strategy: Lead the development of the payment platform's architecture, focusing on improving transaction performance, scaling systems for growth, and reducing downtime.</li>
<li>Fraud Detection &amp; Prevention: Develop, use, and implement advanced fraud detection rules and machine learning models to detect suspicious activities in real-time, ensuring compliance with KYC, AML, and regulatory standards.
</li><li>Project &amp; Resource Management: Oversee the planning, development, and execution of payment and fraud detection features, ensuring projects are delivered on time, within scope, and within budget.</li>
<li>Payout Systems: Manage the development and optimization of payout systems, ensuring smooth and timely payments to merchants and stakeholders.</li>
<li>Risk Management &amp; Security: Ensure robust security measures are implemented to protect sensitive payment data, working with compliance teams to maintain adherence to standards such as PCI-DSS and GDPR.</li>
</ul>Industry Knowledge:<ul>
<li>Payment Processing Expertise: Lead the development and optimization of the payment processing system, reducing transaction failures and improving acceptance rates through smart routing, tokenization, and payment gateway integrations.</li>
<li>Fraud Detection Rules: Implement and refine fraud detection rules that adapt to changing fraud patterns, leveraging machine learning and analytics to minimize false positives and enhance real-time threat detection.</li>
<li>Payment Gateway Integration: Oversee the integration of multiple payment gateways, optimizing transaction routing and redundancy to ensure seamless processing.</li>
<li>Acceptance Rate Enhancement: Use data and analysis to identify and implement strategies for increasing payment acceptance rates, reducing transaction declines, and improving customer satisfaction.</li>
<li>Technical &amp; Knowledge Responsibilities:</li>
<li>Systems Monitoring &amp; Performance Management: Establish advanced monitoring systems for real-time tracking of payment transactions, fraud detection activities, system health, and performance metrics. Ensure prompt issue resolution and minimal system downtime.</li>
<li>Security &amp; Compliance: Ensure the platform complies with regulatory standards, focusing on fraud detection, anti-money laundering (AML), and Know Your Customer (KYC) regulations. Collaborate with legal and compliance teams to maintain certifications like PCI-DSS.</li>
<li>Data-Driven Decision Making: Leverage analytics and machine learning to monitor and predict system performance, fraud activities, and payment failures. Use data insights to continuously optimize the platform.</li>
</ul>Key Performance Indicators (KPIs):<ul>
<li>Payment Acceptance Rates: Enhance acceptance rates by optimizing payment gateways and transaction routing, while minimizing fraud-related chargebacks.</li>
<li>System Uptime &amp; Performance: Maintain high system availability (99.9%+) through proactive monitoring, ensuring consistent performance with minimal downtime.</li>
</ul><ul><li>Fraud Detection Efficiency: Improve fraud detection accuracy, reducing false positives while maintaining high levels of fraud prevention and detection.</li>
<li>Customer Satisfaction: Deliver a seamless payment experience by reducing transaction failures and fraud-related issues, improving NPS scores and customer engagement.</li>
</ul>Requirements<ul>
<li>10+ years of experience in software engineering, with 5+ years in a leadership role within payment processing or fintech.</li>
<li>Extensive experience with fraud detection systems, payment gateways, and high-volume transaction platforms.</li>
<li>Expertise in payout systems, payment acceptance rate optimization, and secure transaction management.</li>
<li>Strong knowledge of regulatory standards (PCI-DSS, AML, GDPR).</li>
<li>Expertise in cloud-based infrastructure (AWS, Cloudflare, ..etc) and real-time system monitoring.</li>
<li>Strong leadership skills with a focus on mentoring and growing high-performing teams.</li>
<li>Ability to balance strategic thinking with hands-on problem-solving in a fast-paced fintech environment.</li>
<li>Experience with fraud detection algorithms, machine learning models, and data-driven decision-making is a plus.</li></ul></div>

Head of Engineering ( Payment )

Unilever

<div>
 ABOUT UNILEVER With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people &ndash; we believe that when our people work with purpose, we will create a better business and a better world. At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don&rsquo;t believe in the &lsquo;one size fits all&rsquo; approach and instead we will equip you with the tools you need to shape your own future. JOB PURPOSE Unilever is the place where you can bring your purpose to life with the work that you do &ndash; creating a better business and a better world. In manufacturing excellence, it is the point where quality, cost, delivery, safety, and morale seamlessly converge, creating an environment of optimal productivity and continuous growth, if this matches your interests, then this role is just for you! WHAT WILL YOUR MAIN RESPONSIBILITIES BE Evaluate manufacturing processes based on quality criteria, such as efficiency and speed Study production and machine requirements Develop and test effective automated and manual systems Design and install equipment Organize and manage manufacturing workflows and resources Integrate disparate systems (e.g. equipment handling, transport) Optimize facility layouts, production lines, machine operations and network performance Resolve issues and delays in production Find ways to reduce costs and maximize quality Train staff in new and existing processes Collaborate with other engineers, contractors and suppliers Ensure that manufacturing procedures follow safety and environmental regulations Upgrade systems and processes with new technology Evaluate quality control processes and make recommendations for improvements in quality control. Analyze production processes, schedules, methods and other data and then provide management with reports containing the data and statistics to enable management to better understand future requirements needed for the manufacturing process. Ensure that the company&rsquo;s manufacturing processes are in compliance with all government laws and regulations. Review and calculate labor, material and other production costs along with reviewing schedules and future production requirements to assist management in decision making. Analyze and plan workflow, equipment placement and space requirements to improve manufacturing efficiency. Coordinate equipment maintenance and repair services and make sure that manufacturer&rsquo;s procedures and instructions are followed in order to keep production equipment operational. WHAT YOU NEED TO SUCCEED Experiences &amp; Qualifications Engineering Degree (Industrial, Mechanical, Electrical) Previous experience of 2 years as a manufacturing engineer or similar role Familiarity with manufacturing equipment and quality assurance techniques Commitment to health and safety standards and environmental regulations Well-versed in relevant software (e.g. CAD, MS Office) Skills Project management skills Problem-solving ability Teamwork skills Critical thinking Leadership You are energized by delivering fantastic results. You are an example to others &ndash; both your results and your resilience. You are constantly on the lookout for better ways to do things, engaging and collaborating with others along the way. As an individual you are the one responsible for your own wellbeing and delivering high standards of work. You must also focus on the Consumer and what they need. You are humble and have your head up, looking around to interpret evidence and data smartly, spot issues and opportunities to make things better. Critical SOL (Standards of Leadership) Behaviors PASSION FOR HIGH PERFORMANCE: Takes personal responsibility and accountability for execution and results. Has an owner&rsquo;s mindset, using data and insight to make decisions. PERSONAL MASTERY: Sets high standards for themselves. Actively builds own wellbeing and resilience. CONSUMER LOVE: Whatever their role, always looks for better ways to serve consumers. Invests time inside and outside to understand the needs of consumers. PURPOSE &amp; SERVICE: Has humility, understanding that leadership is service to others, inside and outside Unilever. AGILITY: Explores the world around them, continually learning and developing their skills. Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.
 
 
 Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their &lsquo;Whole Self&rsquo; to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.
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Manufacturing Excellence Engineer

ABOUT UNILEVER With 3.4 billion people in over 190 countries using our products every day, Unilever is a business that makes a real impact on the world. Work on brands that are loved and improve the lives of our consumers and the communities around us. We are driven by our purpose: to make sustainable living commonplace, and it is our belief that doing business the right way drives superior performance. At the heart of what we do is our people – we believe that when our people work with purpose, we will create a better business and a better world. At Unilever, your career will be a unique journey, grounded in our inclusive, collaborative, and flexible working environment. We don’t believe in the ‘one size fits all’ approach and instead we will equip you with the tools you need to shape your own future. JOB PURPOSE Unilever is the place where you can bring your purpose to life with the work that you do – creating a better business and a better world. In manufacturing excellence, it is the point where quality, cost, delivery, safety, and morale seamlessly converge, creating an environment of optimal productivity and continuous growth, if this matches your interests, then this role is just for you! WHAT WILL YOUR MAIN RESPONSIBILITIES BE Evaluate manufacturing processes based on quality criteria, such as efficiency and speed Study production and machine requirements Develop and test effective automated and manual systems Design and install equipment Organize and manage manufacturing workflows and resources Integrate disparate systems (e.g. equipment handling, transport) Optimize facility layouts, production lines, machine operations and network performance Resolve issues and delays in production Find ways to reduce costs and maximize quality Train staff in new and existing processes Collaborate with other engineers, contractors and suppliers Ensure that manufacturing procedures follow safety and environmental regulations Upgrade systems and processes with new technology Evaluate quality control processes and make recommendations for improvements in quality control. Analyze production processes, schedules, methods and other data and then provide management with reports containing the data and statistics to enable management to better understand future requirements needed for the manufacturing process. Ensure that the company’s manufacturing processes are in compliance with all government laws and regulations. Review and calculate labor, material and other production costs along with reviewing schedules and future production requirements to assist management in decision making. Analyze and plan workflow, equipment placement and space requirements to improve manufacturing efficiency. Coordinate equipment maintenance and repair services and make sure that manufacturer’s procedures and instructions are followed in order to keep production equipment operational. WHAT YOU NEED TO SUCCEED Experiences & Qualifications Engineering Degree (Industrial, Mechanical, Electrical) Previous experience of 2 years as a manufacturing engineer or similar role Familiarity with manufacturing equipment and quality assurance techniques Commitment to health and safety standards and environmental regulations Well-versed in relevant software (e.g. CAD, MS Office) Skills Project management skills Problem-solving ability Teamwork skills Critical thinking Leadership You are energized by delivering fantastic results. You are an example to others – both your results and your resilience. You are constantly on the lookout for better ways to do things, engaging and collaborating with others along the way. As an individual you are the one responsible for your own wellbeing and delivering high standards of work. You must also focus on the Consumer and what they need. You are humble and have your head up, looking around to interpret evidence and data smartly, spot issues and opportunities to make things better. Critical SOL (Standards of Leadership) Behaviors PASSION FOR HIGH PERFORMANCE: Takes personal responsibility and accountability for execution and results. Has an owner’s mindset, using data and insight to make decisions. PERSONAL MASTERY: Sets high standards for themselves. Actively builds own wellbeing and resilience. CONSUMER LOVE: Whatever their role, always looks for better ways to serve consumers. Invests time inside and outside to understand the needs of consumers. PURPOSE & SERVICE: Has humility, understanding that leadership is service to others, inside and outside Unilever. AGILITY: Explores the world around them, continually learning and developing their skills. Unilever embraces diversity and encourages applicants from all walks of life! This means giving full and fair consideration to all applicants and continuing development of all employees regardless of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage and civil partnership, and pregnancy and maternity.
 
Unilever is an organisation committed to equity, inclusion and diversity to drive our business results and create a better future, every day, for our diverse employees, global consumers, partners, and communities. We believe a diverse workforce allows us to match our growth ambitions and drive inclusion across the business. At Unilever we are interested in every individual bringing their ‘Whole Self’ to work and this includes you! Thus if you require any support or access requirements, we encourage you to advise us at the time of your application so that we can support you through your recruitment journey.

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Manufacturing Excellence Engineer

Manufacturing Excellence Engineer