Product Manager Jobs

Cloud Technical Lead - Hybrid Dubai Were a leader in data and AI. Through our software and services we inspire customers around the world to transform data into intelligence - and questions into answers. If youre looking for a dynamic fulfilling career with flexibility and a world-class employee experience youll find it here. Were recognized around the world for our inclusive meaningful culture and innovative technologies by organizations like Fast Company Forbes Newsweek and more. About the job As a vital member of the SAS Cloud team within the Cloud and Information Services (CIS) division you will contribute to the management and delivery of hosted and remotely managed SAS application environments. Your role will involve close collaboration with customers analysts developers and implementation teams to ensure the delivery of world-class SAS services. Drawing on your advanced technical expertise you will provide leadership guidance and hands-on support throughout customer engagementsfrom initial implementation and configuration through to production release and operational deployment. Working alongside a SAS Cloud Customer Success Manager you will help navigate technical challenges and establish performance metrics that align with customer success criteria. Your contributions to documentation automation and knowledge sharing will empower global teams to respond swiftly and effectively to operational incidents. You will also play a key role in mentoring and training team members sharing best practices in enterprise application technology architecture and support. Collaboration with global R&D Product Technical Support and CIS teams will be essential to maintaining high levels of customer satisfaction and service quality across all managed environments. In addition you will lead initiatives aimed at enhancing quality efficiency and automation in service delivery. A strong commitment to continuous improvement and a proactive mindset will be critical to success in this role. As a Cloud Technical Lead you will: Lead hosted and remotely managed customer projects from kickoff through UAT and go-live ensuring smooth execution and technical oversight throughout the lifecycle. Provide expert consultation for major post-deployment changes such as upgrades and migrations and help resolve complex recurring issues to maintain system health. Define and validate technical requirements to avoid project delays enhance system stability and monitoring and ensure adherence to SAS Cloud standards and best practices. Act as a SAS Administrator for high-complexity or urgent tasks configure and debug mid-tier software manage container-based applications and develop tools for SAS and third-party software. Apply IT Service Management best practices for change incident and problem management while creating and maintaining service documentation including runbooks knowledge base articles and wiki content. Exceptional customer service with a customer-first mindset working directly with clients and coordinating with support teams and vendors to ensure satisfaction. Sharing Facilitate knowledge transfer across the team sharing expertise on customer engagements and key technologies to foster continuous improvement and team growth. Ensure all applicable security policies and processes are followed to support the organizations secure software development goals. Embrace curiosity passion authenticity and accountability. These are our values and influence everything we do. Required qualifications Experience writing programs in more than one language required. Two years of experience in end user and system administrator consulting or providing other first-level consulting required. Bachelors degree in a quantitative field such as Computer Science Information Technology or related field. (or equivalent qualification) Previous technical experience including: Experience of SAS Administration or support Experience in systems support user support customer support consulting or training for enterprise class software and/or hardware Experience with UNIX or Linux supporting enterprise class applications Equivalent combination of related education training and experience may be considered in place of the above qualifications. Additional competencies knowledge and skills Building Customer Loyalty: Meeting and exceeding internal or external customer expectations while cultivating relationships that secure commitment and trust. Creating a Service Reputation: Designing and implementing service practices that meet customers and own organizations needs; responding quickly to resolve difficult customer situations and regain customer confidence. Work Standards: Setting high standards of performance for self and others; assuming responsibility and accountability for successfully completing assignments or tasks; self-imposing standards of excellence rather than having standards imposed. You are welcome here. At SAS its not about fitting into our culture its about adding to it. We believe our people make the difference. Our inclusive workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. #J-18808-Ljbffr

First Abu Dhabi Bank (FAB) in Dubai is seeking an experienced Card Product Manager to drive end-to-end performance of credit card products. You will own strategy, pricing, campaign governance, and lifecycle management while coordinating with Marketing, Finance, Technology, Operations, Risk, and Compliance to deliver competitive, compliant card propositions.The role emphasizes cross-functional leadership, market-driven campaigns, and a focus on delivering growth and customer value within UAE #J-18808-Ljbffr

Job SnapshotSenior Data Scientist - AI and Machine LearningLocation: Dubai, United Arab EmiratesIndustry: InternetFunction: R and D-ScienceExperience: Minimum 5 years across data science, machine learning engineering, and generative AIJob Type: Full-timeSenior Data Scientist - AI and Machine Learning in Dubai, United Arab Emirates is an Internet opportunity for an experienced data science professional responsible for designing, building, deploying, and improving production-grade machine learning and generative AI systems. This hiring role is suited to candidates seeking a senior AI and machine learning job in Dubai with end-to-end ownership across problem formulation, feature engineering, model development, experimentation, MLOps, LLM applications, production monitoring, and data-driven product decision-making.Job DetailsCountry: United Arab EmiratesCity: DubaiIndustry: InternetFunction: R and D-ScienceSalary: 30000-45000 Estimated salary range based on similar jobs in the job city; please confirm the final offer with the employer. Gender: AnyCandidate Nationality: AnyJob Type: Full-timeRole ContextThe Senior Data Scientist works within talabat 's global AI hub to develop intelligent systems that improve decisions across consumer products and business operations. The role owns a defined domain from initial business problem discovery through data modeling, model training, deployment, serving, experimentation, and ongoing performance monitoring. This position combines advanced data science with significant engineering responsibility. The successful candidate will work closely with Product Managers, Business Managers, Data Scientists, Machine Learning Engineers, and Engineering teams to convert complex operational and customer problems into scalable AI solutions that deliver measurable business impact.Key ResponsibilitiesTranslate ambiguous business challenges into clearly defined machine learning and data science problems with measurable success criteria.Identify high-impact opportunities where machine learning, generative AI, or advanced analytics can improve product and business outcomes.Design and build end-to-end machine learning systems suitable for production environments.Develop reliable data pipelines supporting feature creation, model training, evaluation, deployment, and monitoring.Perform feature engineering using large-scale behavioral, transactional, and product , evaluate, compare, and improve machine learning models using appropriate algorithms and architectures.Select practical modeling approaches based on business value, scalability, interpretability, performance, and operational complexity.Build production-grade code for machine learning applications and supporting services.Deploy trained models into production and maintain dependable model-serving workflows.Monitor model performance, data quality, drift, reliability, and downstream business impact after deployment.Apply generative AI and large language models to data enrichment, smart content understanding, automation, and decision-support use cases.Evaluate LLM approaches and determine when fine-tuning, prompting, retrieval, or traditional machine learning provides the most appropriate solution.Build and maintain data models and reusable features supporting model development.Develop automated analytical reporting that provides actionable insights for business and product stakeholders.Conduct systematic data profiling to understand source data, quality issues, generating systems, and behavioral closely with Engineering teams to understand instrumentation, event generation, and data dependencies.Design A-B tests and multivariate experiments to measure product and model impact.Analyze experiment results using appropriate statistical methods and translate findings into clear inferential, causal, predictive, and descriptive techniques according to the problem being solved.Partner with Product teams to understand user behavior, conversion, engagement, retention, and other product health with business stakeholders to convert analytical insights into practical actions and strategic decisions.Develop scalable recommendation, NLP, deep learning, pattern recognition, or predictive modeling solutions where Python and SQL extensively for reproducible analysis, modeling, validation, and production workflows.Build and orchestrate training and data workflows using platforms such as Airflow.Contribute to stronger MLOps practices covering repeatability, deployment, observability, testing, monitoring, and model lifecycle management.Improve internal machine learning tools, development practices, and engineering standards.Mentor other Data Scientists and support their technical development.Share machine learning knowledge through internal training, documentation, technical discussions, and practical coaching.Challenge unnecessary complexity and favor simpler solutions when they can deliver equal or stronger business outcomes.Maintain full ownership of assigned machine learning initiatives from discovery through measurable production impact.Ideal ProfileThe preferred candidate has at least 5 years of professional experience spanning data science, machine learning engineering, generative AI, or closely related technical disciplines, with demonstrated experience deploying machine learning models into production.A bachelor 's degree in engineering, computer science, technology, or a related field is required.A postgraduate qualification would be advantageous but is not essential.Deep technical expertise should include machine learning, deep learning, generative AI, NLP, recommendation systems, pattern recognition, and data mining.Candidates should have strong hands-on experience with relevant frameworks such as Scikit-learn, XGBoost, LightGBM, CatBoost, Keras, TensorFlow, PyTorch, Transformers, and LLM development techniques.Strong software engineering fundamentals are important.The successful candidate should be comfortable with data structures, algorithms, system design, ML system architecture, clean production code, and designing reliable services rather than limiting work to notebook-based analysis.Advanced Python and SQL capabilities are required, together with practical experience building data and machine learning pipelines.Exposure to Airflow, BigQuery, Google Cloud Platform, dimensional modeling, and feature engineering will be valuable.The position also requires strong statistical foundations covering experimentation, inferential methods, causal analysis, predictive modeling, and rigorous interpretation of results.Candidates should demonstrate ownership, curiosity, practical problem solving, strong collaboration, and clear developing machine learning systems for online consumer products would be especially relevant.Skills SetMachine learningGenerative AIArtificial intelligenceLarge language modelsLLM fine-tuningNatural language processingDeep learningRecommendation systemsPattern recognitionData miningPythonSQLScikit-learnXGBoostLightGBMCatBoostSupport Vector MachinesKerasTensorFlowPyTorchTransformersFeature engineeringData pipelinesTraining pipelinesAirflowMLOpsModel deploymentModel servingModel monitoringModel evaluationML system designSoftware engineeringData structuresAlgorithmsSystem designProduction machine learningA-B testingMultivariate testingExperiment designStatistical analysisCausal analysisPredictive modelingInferential statisticsData modelingDimensional modelingProduct analyticsConversion analysisEngagement analysisRetention analysisBigQueryGoogle Cloud PlatformData profilingAutomated reportingTechnical mentoringWhy Join UsThis opportunity places the successful candidate within a high-impact AI environment where machine learning systems can influence millions of customer interactions and large-scale business decisions across talabat 's regional platform. The role provides substantial ownership over the complete ML lifecycle rather than separating modeling, engineering, deployment, and measurement into isolated responsibilities. Working within the global AI hub also offers exposure to complex consumer data, generative AI applications, recommendation systems, experimentation, production MLOps, and scalable decision systems. For an experienced Data Scientist, the position provides room to deepen technical leadership while mentoring colleagues and shaping how advanced AI is applied across one of the region 's largest digital commerce ecosystems.About the Companytalabat is a leading on-demand food, grocery, and Q-commerce technology platform operating across the Middle East. The company uses data, artificial intelligence, logistics technology, and digital commerce systems to connect customers with restaurants and local retailers while supporting riders and partners across multiple regional markets. #J-18808-Ljbffr

Role Purpose The Enterprise Architect will be responsible for defining and governing the enterprise technology architecture across Apparel Group, ensuring alignment between business strategy, digital transformation initiatives, and technology investments. The role will serve as a strategic advisor to business and technology leadership, driving modernization, standardization, scalability, and innovation across the Group's retail, e-commerce, supply chain, customer, and corporate functions. The Enterprise Architect will play a pivotal role in shaping the future-state architecture, enabling omnichannel retail capabilities, AI-driven innovation, enterprise data platforms, and cloud transformation while ensuring architectural governance and long-term sustainability. Key Responsibilities Define and maintain the Group's Enterprise Architecture strategy, target-state architecture, and multi-year technology roadmap aligned with business objectives and transformation priorities. Partner with business leaders, transformation teams, and technology stakeholders to translate strategic initiatives into scalable business and technology capabilities. Establish architecture principles, standards, frameworks, and governance processes to guide technology decision-making across the organization. Lead architecture reviews for major business initiatives, ensuring alignment with enterprise standards, security requirements, scalability needs, and long-term technology strategy. Drive application portfolio rationalization by identifying opportunities to consolidate systems, reduce technical debt, eliminate redundancies, and optimize technology investments. Define enterprise integration architecture and promote API-first, event-driven, and reusable integration patterns across business platforms. Collaborate with data and analytics teams to establish enterprise data architecture principles, governance frameworks, master data strategies, and AI-ready data foundations. Partner with digital, omnichannel, and customer experience teams to architect solutions that enhance customer engagement, loyalty, personalization, and retail operations. Evaluate emerging technologies, including AI, Generative AI, automation, cloud platforms, and intelligent retail solutions, and provide recommendations for adoption and business value realization. Develop technology reference architectures, capability maps, architecture blueprints, and future-state operating models for key business domains. Provide architectural leadership and guidance across ERP, POS, e-commerce, supply chain, merchandising, CRM, HR, finance, and corporate systems landscapes. Work closely with solution architects, product teams, project managers, and vendors to ensure successful implementation of architecture standards and transformation initiatives. Identify technology risks, architecture gaps, and dependencies, and proactively recommend mitigation plans to support business continuity and scalability. Drive cloud modernization and enterprise platform transformation initiatives to improve agility, performance, security, and cost optimization. Act as a trusted advisor to executive leadership by providing strategic insights on technology trends, architecture investments, and digital transformation opportunities. Qualifications & Experience Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. Master's degree preferred. 12+ years of experience in technology leadership, enterprise architecture, solution architecture, or digital transformation roles. Minimum 5 years of experience in Enterprise Architecture or a senior architecture leadership capacity. Experience in retail, consumer, omnichannel, e-commerce, or large multi-brand organizations is highly preferred. Strong knowledge of enterprise architecture frameworks such as TOGAF. Experience with cloud platforms (Azure, AWS, or GCP) and modern integration architectures. Demonstrated experience leading large-scale transformation programs and enterprise technology modernization initiatives. Preferred Expertise Retail ERP platforms (SAP S/4HANA, Oracle, Microsoft Dynamics) POS and store technology ecosystems E-commerce and omnichannel platforms CRM and loyalty platforms Enterprise integration and API management Data lakehouse and analytics platforms AI, Generative AI, and intelligent automation solutions Enterprise data governance and master data management Supply chain and merchandising systems Key Competencies Enterprise Architecture & Technology Strategy Business Capability Modeling Digital Transformation Leadership Retail & Omnichannel Domain Knowledge Stakeholder Management & Executive Communication Architecture Governance Innovation & Emerging Technology Evaluation Strategic Planning & Roadmap Development Problem Solving & Decision Making Influencing Without Authority Success Measures Alignment of technology investments with business strategy Reduction in technology complexity and technical debt Increased platform standardization and reusability Successful delivery of transformation initiatives Improved enterprise scalability, resilience, and agility Adoption of architecture standards and governance practices Enhanced business capabilities through digital and AI-driven solutions Requirements: •

DescriptionOperating in the UAE for over 50 years, CBD manages the financial requirements of some of the largest corporates and businesses operating in the country, driving the UAE economy. Over the years, CBD has transformed into a progressive and modern banking institution winning multiple awards for its digital initiatives, credit cards, bank accounts, mobile app features and services. CBD has been recognized as the number one bank in the UAE on the Forbes list of The World's Best Banks 2022.As we continue to build upon our successes, we are looking for ambitious individuals who are passionate about the banking and finance industry and the markets in which CBD operates. Just as important to us is your ability to demonstrate a talent for dealing with people - your colleagues and our customers and delivering service that really goes the extra mile.Job PurposeTo support the management, development, and performance of Business Banking product propositions, with a focus on Enterprise Liability and Emerging Corporate segments. The role is responsible for assisting in product planning, implementation, monitoring, and enhancement to support deposit growth, liability portfolio performance, customer acquisition, product utilization, and business profitability. The role works closely with Business Banking relationship teams, operations, risk, compliance, finance, digital channels, and other internal stakeholders to ensure products are competitive, compliant, customer-focused, and aligned with Business Banking AccountabilitiesSupport the development and execution of Business Banking product initiatives for Enterprise Liability and Emerging Corporate segments in line with approved business objectives.Assist in managing liability products, including current accounts, savings accounts, deposits, cash management-related propositions, and other approved Business Banking product offerings.Monitor product performance, deposit balances, portfolio growth, customer acquisition, product utilization, fee income, profitability, and segment-level trends, and highlight opportunities for improvement.Coordinate with Business Banking sales and relationship teams to support product rollouts, campaigns, customer propositions, and sales enablement activities.Support product pricing, process enhancements, documentation updates, service improvements, and customer communication requirements in coordination with relevant stakeholders.Assist in preparing business cases, product papers, approval documents, presentations, dashboards, and periodic management reports for Business Banking Products leadership.Coordinate with operations, risk, compliance, legal, finance, technology, and digital teams to ensure smooth product implementation, governance, controls, and regulatory alignment.Conduct market and competitor reviews to identify product enhancement opportunities and support the development of customer-focused propositions for Enterprise and Emerging Corporate clients.Track issues, product gaps, customer feedback, and process challenges, and support resolution with relevant internal teams.Ensure all product activities are carried out in line with internal policies, product governance standards, conduct requirements, risk appetite, and applicable UAE banking regulationsRequirementsEducation and ExperienceBachelor's degree in Business Administration, Banking, Finance, Economics, or a related discipline.Professional certification in banking, product management, cash management, or business banking is an advantage.Minimum 3-5 years of banking experience, preferably within Business Banking, SME Banking, Corporate Banking, Product Management, Liabilities, Cash Management, or related financial services functions.Good understanding of Business Banking products, liability products, deposits, account propositions, customer segmentation, product processes, pricing, and portfolio performance of banking operations, risk and compliance requirements, KYC, AML, customer onboarding, product governance, and UAE banking regulatory requirements.Experience in preparing product reports, dashboards, business cases, process documents, and stakeholder presentations. #J-18808-Ljbffr

Job Description: About The Role iCapital is looking to hire a Manager for DevOps and DBA Engineering Manager to join the Annuities Platform team. This role is responsible for leading the strategy, design, and execution of DevOps practices and database platform operations supporting enterprise SaaS solutions. This role owns CI/CD pipelines and SQL Server database systems to ensure high availability, scalability, performance, and security across production and non-production environments. As a Technical Manager, this position not only leads and develops a team of DevOps Engineers and Database Administrators but is also the technical SME and expected to maintain Databases and manage the deployment pipelines. This individual reports to the Director of Enterprise Technology and partners closely with the Engineering, Architecture, Security, and Product teams, and is accountable for the reliability, automation, and operational excellence of the platforms. Responsibilities Lead and develop a high-performing team of DevOps Engineers and Database Administrators, including hiring, performance management, mentoring, and career development.Define and execute the DevOps and DBA roadmap aligned to product and platform the design, reliability, and continuous improvement of CI/CD pipelines (Azure DevOps, GitHub Actions) supporting automated build, test, release, and rollback for all (Hexure now part of iCapital) SaaS products.Own SQL Server database operations across production and non-production environments, including performance tuning, indexing, capacity planning, patching cadence, backup and recovery (RTO/RPO), and always on high-availability and disaster recovery.Participate in incident response for infrastructure and database events, including on-call rotation, post-incident reviews, and corrective-action follow-through.Partner with the Security team to embed DevSecOps practices, secrets management, vulnerability scanning, dependency hygiene, and compliance with SOC 2 and other applicable frameworks.Partner with the Senior Cloud Engineers and Director to manage cloud spend and FinOps practices in Azure; track utilization, right-size workloads, and report cost trends to leadership.Establish and maintain operational documentation, change-management discipline, and audit-ready evidence for internal and external reviews.Collaborate with the Architecture, Engineering, Product, and Client Services teams to plan releases, capacity, and platform improvements that support business growth.Continuously improve automation, observability, and self-service capabilities to reduce toil and accelerate delivery. Qualifications Bachelor's degree in computer science information systems engineering or related field or equivalent experience8+ years DevOps cloud SRE or infrastructure engineering supporting PaaS and SaaS platforms2+ years people management experience leading DevOps SRE or DBA teams including hiring performance and career developmentExperience with Microsoft Azure including IaaS PaaS networking Entra ID and Azure SQLDeep experience designing and operating ci cd pipelines azure DevOps GitHub actions or similar across multi environment SaaS deploymentsExperience with infrastructure as code and configuration management at scaleStrong SQL server administration including performance tuning HA/DR always on replication log shipping backup and security plus other database modelsWorking knowledge of docker Kubernetes AKSExperience with monitoring logging and alerting using platforms like Dynatrace, Datadog, Azure to monitor application insightsExperience working within compliance frameworks like soc 2 iso 27001 or similarStrong problem-solving communication and stakeholder management skills able to translate technical concepts for technical and non-technical audiencesExperience supporting SaaS platforms in insurance financial services or other regulated industriesRelevant certifications Microsoft Azure solutions architect azure DevOps engineer AWS DevOps engineer or equivalentScripting and automation experience PowerShell python bashFamiliar with DevSecOps practices SAST/DAST dependency scanning secrets management azure key vault HashiCorp vaultExperience with FinOps and Azure cost optimization at scaleExposure to PostgreSQL MySQL MongoDB or azure SQL managed instance migrationsExperience integrating ISTM and change management tools ServiceNow Jira service management into delivery workflows Benefits The base salary range for this role is $150,000 to $180,000. iCapital offers a compensation package which includes salary, equity for all full-time employees, and an annual performance bonus. Employees also receive a comprehensive benefits package that includes an employer matched retirement plan, generously subsidized healthcare with 100% employer paid dental, vision, telemedicine, and virtual mental health counseling, parental leave, and unlimited paid time off (PTO). We believe the best ideas and innovation happen when we are together. Employees in this role will work in the office Monday-Thursday, with the flexibility to work remotely on Friday. For additional information on iCapital, please visit https://www.icapitalnetwork.com/about-us Twitter: @icapitalnetwork | LinkedIn: https://www.linkedin.com/company/icapital-network-inc | Awards Disclaimer: https://www.icapitalnetwork.com/about-us/recognition/ iCapital is proud to be an Equal Employment Opportunity and Affinity Action employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. #J-18808-Ljbffr

Job Description: About Revolut People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products — including spending, saving, investing, exchanging, travelling, and more — help our 75+ million customers get more from their money every day. As we continue our lightning-fast growth, 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution. About The Role Our Data Science team solves complex problems with smart, practical solutions and improves how customers experience Revolut. Our Deep Learning Engineers are at the forefront of GenAI and LLM integration, building transformative products that range from user-facing tools to advanced process optimisation. We're looking for a Deep Learning Engineer to work with the most advanced LLMs available, developing solutions that have a tangible impact on millions of customers worldwide. You'll collaborate cross-functionally with Product Owners, Software Engineers, Data Analysts, and Operations Managers to deliver automated, scalable solutions that elevate and revolutionise customer interaction. Up to break barriers and shape what's next for the future of Revolut’s AI-driven capabilities? Let's get in touch. What You’ll Be Doing Building AI-driven features from scratch, like personal assistants, chatbots, copilots, and more Developing user-focused and backend features using deep learning Delivering impactful, scalable, data-driven AI solutions Collaborating with Product, Engineering, and Data teams to solve deep learning challenges Integrating cutting-edge AI technologies to drive innovation at Revolut What You'll Need Experience in deep learning within natural language processing area and large language models A bachelor's degree in a STEM major (mathematics, computer science, engineering) Excellent knowledge of data science (Python, SQL) and production tools A deep understanding of probability and statistics fundamentals Big-picture thinking to correctly diagnose problems and productionise research Excellent communication and collaboration skills to partner with Product Owners and business heads Nice to have A master's or PhD in a quantitative discipline Solid experience with additional programming languages, such as Java, Scala, C++ Experience at a large tech company worth >$15B School/university Olympic medal competitions in physics, maths, economics, or programming Building a global financial super app isn’t enough. Our Revoluters are a priority, and that’s why in 2021 we launched our inaugural D&I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We’re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That’s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team. Requirements #J-18808-Ljbffr

Magna Legal Services in Dubai seeks a skilled software engineer to design, develop, and maintain secure, scalable web applications and services. You will partner with stakeholders and product managers to translate needs into robust technical solutions.You will design, build, and enhance APIs using C#/.NET on Microsoft Azure, create responsive UIs with React, and contribute to AI-assisted development, CI/CD, and DevOps practices in a dynamic legal tech environment. #J-18808-Ljbffr

Magna Legal Services in Dubai seeks a skilled software engineer to design, develop, and maintain secure, scalable web applications and services. You will partner with stakeholders and product managers to translate needs into robust technical solutions.You will design, build, and enhance APIs using C#/.NET on Microsoft Azure, create responsive UIs with React, and contribute to AI-assisted development, CI/CD, and DevOps practices in a dynamic legal tech environment. #J-18808-Ljbffr

Magna Legal Services in Dubai seeks a skilled software engineer to design, develop, and maintain secure, scalable web applications and services. You will partner with stakeholders and product managers to translate needs into robust technical solutions.You will design, build, and enhance APIs using C#/.NET on Microsoft Azure, create responsive UIs with React, and contribute to AI-assisted development, CI/CD, and DevOps practices in a dynamic legal tech environment. #J-18808-Ljbffr