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application engineer Jobs in Saudi Arabia

application engineer

cloud engineer

NoonTech

We are hiring IT professionals for a new IT startup in Saudi Arabia.We are building a pool of qualified and experienced candidates who can support IT service delivery onsite in Saudi Arabia and remotely.Open areas:<ul><li>Cloud &amp; Email Services</li><li>ERP Systems</li><li>Accounting Software</li><li>Managed IT Services</li><li>IT Management</li><li>Networking &amp; Infrastructure</li><li>Web &amp; App Development</li><li>Licensing &amp; Reselling</li><li>Data &amp; Reporting</li><li>Digital Transformation</li></ul>Requirements:3&ndash;5+ years of relevant experience, strong technical skills, and the ability to work with clients professionally.Interested candidates can send their updated resume with:Current location, area of expertise, availability, notice period, and expected rate/salary.Please share your CV at: ITStartupKSA@gmail.com#Hiring #ITJobs #SaudiArabia #RemoteJobs #Cloud #ERP #ManagedITServices #Networking #PowerBI #DigitalTransformationPay: ﷼25.00 - ﷼50.00 per hourWork Location: Hybrid remote in Riyadh (الرياض)

Freelance IT Professionals - Saudi Arabia

Gathern

<div>Job Purpose: 
Streamline software delivery and foster collaboration between development and operations through automation, continuous integration/deployment, and shared responsibility, leading to enhanced efficiency, improved quality, and faster innovation. 
Functional Accountabilities
Key Responsibilities<ul><li>
Design, implement, and maintain CI/CD pipelines for efficient and automated software delivery</li><li>
Develop and manage infrastructure as code (IaC) to provision, configure, and scale resources reliably</li><li>
Automate deployment, monitoring, and maintenance tasks using scripting and configuration management tools</li><li>
Collaborate with development, QA, and operations teams to integrate testing, security, and deployment processes</li><li>
Monitor system performance, troubleshoot issues, and optimize infrastructure for scalability and reliability</li><li>
Implement and maintain cloud infrastructure (AWS) and container orchestration (e.g., Docker, Kubernetes)</li><li>
Enforce security best practices, compliance standards, and disaster recovery strategies within infrastructure</li><li>
Maintain documentation for infrastructure setup, deployment procedures, and incident response protocols</li><li>
Continuously evaluate and adopt emerging tools, technologies, and methodologies to improve DevOps practices.</li></ul>
Striving for Excellence
Key Responsibilities<ul><li>
Ensure compliance with relevant regulations while promoting organizational transparency.</li><li>
Collaborate effectively with colleagues and contribute to shared team objectives.</li><li>
Provide regular updates on performance and document any issues or challenges to ensure timely resolution.</li></ul> 

Requirements 
<ul><li>
Bachelor's degree in Computer Science, or a related field (or equivalent practical experience)</li><li>
4-6 years of relevant experience in software development, system administration, or IT operations</li><li>
Familiarity with scripting languages (Bash, Python) and basic automation techniques</li><li>
Experience with version control systems (Git) and understanding of CI/CD concepts</li><li>
Knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker)</li><li>
Understanding of infrastructure as code (IaC) tools such as Terraform or Helm</li><li>
Familiarity with configuration management tools.</li><li>
Basic networking, security best practices, and system monitoring skills</li><li>
Ability to collaborate effectively with cross-functional teams and communicate technical concepts clearly</li><li>
Eagerness to learn new tools, technologies, and methodologies related to DevOps practices.</li></ul>
COMPETENCIES
Working with Others:<ul><li>
Fosters collaboration and removes obstacles that hinder teamwork.</li><li>
Offers advice and support in a sensitive and timely manner.</li><li>
Assumes clear responsibility for relevant tasks from the outset.</li><li>
Builds a robust network, including senior-level contacts, to facilitate activities and expand knowledge.</li><li>
Demonstrates the ability to negotiate and influence decision-makers at higher levels.</li><li>
Proactively coordinates with other departments, partners, and external stakeholders.</li></ul>
Adapting and Innovating:<ul><li>
Drives improvements within own remit, adding value where possible</li><li>
Promotes adaptability among team members to achieve objectives</li><li>
Advocate new ideas that gain traction with senior colleagues.</li></ul> 
Accountability<ul><li>
Takes ownership of tasks and meets deadlines consistently.</li><li>
Delivers outputs on time while adhering to cost and quality standards.</li><li>
Accepts responsibility for personal shortcomings and compliance requirements.</li><li>
Supports team members, oversees delegated assignments, and remains accountable.</li></ul> 
Respect for Diversity<ul><li>
Works constructively with people from diverse backgrounds.</li><li>
Treats all individuals with dignity, respect, and equality.</li><li>
Considers different perspectives and demonstrates understanding in daily decisions.</li><li>
Reflects on personal biases to avoid stereotyping or discrimination.</li><li>
Adjusts systems and practices when biases are identified.</li></ul> 
Communicating with Others<ul><li>
Conveys information confidently and credibly.</li><li>
Produces concise reports and documentation highlighting key insights.</li><li>
Tailors communication style to meet varied audience needs.</li><li>
Guides others on the most suitable communication methods and content.</li></ul></div>

Senior DevOps Engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: AI / ML Engineer</h1>
Job Title: AI / ML Engineer 
Experience: 3&ndash;11 Years 
Location: Riyadh (Onsite) 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking a skilled AI / ML Engineer with 3&ndash;11 years of experience to design, develop, deploy, and optimize machine learning and generative AI solutions. The ideal candidate will have hands-on expertise in building scalable AI/ML models, working with cloud-native AI platforms, and implementing production-ready machine learning pipelines. Experience with modern AI frameworks, large language models (LLMs), and MLOps practices is highly desirable.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, develop, train, and deploy machine learning and deep learning models for enterprise applications.</li><li>
Build and optimize end-to-end ML pipelines for data ingestion, model training, evaluation, and deployment.</li><li>
Develop Generative AI and LLM-powered applications using modern AI frameworks.</li><li>
Collaborate with data engineers, software developers, and business stakeholders to deliver AI-driven solutions.</li><li>
Deploy and monitor ML models on cloud platforms while ensuring scalability, reliability, and security.</li><li>
Optimize model performance through feature engineering, hyperparameter tuning, and continuous evaluation.</li><li>
Implement MLOps best practices including model versioning, monitoring, and CI/CD automation.</li><li>
Stay current with advancements in AI, machine learning, and cloud AI services.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Cloud AI Platforms</h3><ul><li>
Hands-on experience with GCP Vertex AI or Azure Machine Learning or AWS SageMaker.</li><li>
Experience with Azure OpenAI or AWS Bedrock for Generative AI solutions.</li><li>
Experience with BigQuery ML and Dataflow for data processing and machine learning workflows.</li></ul><h3 class="jobSectionHeader">
Programming &amp; Machine Learning</h3><ul><li>
Strong proficiency in Python.</li><li>
Experience developing machine learning solutions using TensorFlow or PyTorch.</li><li>
Strong understanding of supervised, unsupervised, reinforcement learning, and deep learning concepts.</li></ul><h3 class="jobSectionHeader">
Generative AI &amp; LLM Frameworks</h3><ul><li>
Experience with Hugging Face and LangChain for building LLM-powered applications.</li><li>
Knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, and vector databases is preferred.</li></ul><h3 class="jobSectionHeader">
Data Engineering &amp; Analytics</h3><ul><li>
Experience with Databricks for data engineering, model development, and analytics workflows.</li><li>
Strong understanding of data preprocessing, feature engineering, and large-scale data processing.</li></ul><h3 class="jobSectionHeader">
MLOps &amp; Deployment</h3><ul><li>
Experience deploying machine learning models into production.</li><li>
Knowledge of Docker, Kubernetes, CI/CD pipelines, and model monitoring is an advantage.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, or a related field.</li><li>
3&ndash;11 years of professional experience in AI, Machine Learning, or Data Science.</li><li>
Strong analytical, mathematical, and problem-solving skills.</li><li>
Experience working in Agile development environments.</li><li>
Excellent communication and collaboration skills.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience with Large Language Models (LLMs) and Generative AI applications.</li><li>
Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agents.</li><li>
Experience with distributed model training and cloud-native AI architectures.</li><li>
Cloud certifications in AWS, Azure, or Google Cloud are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
Cloud AI: GCP Vertex AI or Azure Machine Learning or AWS SageMaker</li><li>
Generative AI: Azure OpenAI or AWS Bedrock and Large Language Models (LLMs)</li><li>
Data Processing: BigQuery ML and Dataflow and Databricks</li><li>
Programming: Python</li><li>
Machine Learning Frameworks: TensorFlow or PyTorch</li><li>
LLM Frameworks: Hugging Face or LangChain</li><li>
MLOps: Docker and Kubernetes and CI/CD (Preferred)</li></ul>
kmeseaCmpf</div>

AI / ML Engineer

<div><h1 class="jobSectionHeader">Job Description: Analytics &amp; Transformation Engineer</h1>
Job Title: Analytics &amp; Transformation Engineer 
Experience: 3&ndash;11 Years 
Location: Riyadh - Onsite 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking an experienced Analytics &amp; Transformation Engineer with 3&ndash;11 years of experience to drive data-driven transformation initiatives through advanced analytics, reporting, measurement frameworks, and business intelligence solutions. The ideal candidate will have expertise in dashboard development, semantic modeling, behavioral analytics, experimentation, and analytics implementation processes. This role requires strong analytical thinking and the ability to translate business objectives into measurable data solutions.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design and develop scalable analytics solutions to support business transformation initiatives.</li><li>
Build executive dashboards, reports, and analytical models to enable data-driven decision-making.</li><li>
Develop and maintain semantic models, metrics frameworks, and reporting standards.</li><li>
Perform behavioral analytics to understand user journeys, engagement patterns, and business performance.</li><li>
Define and implement event tracking strategies, analytics taxonomies, and measurement frameworks.</li><li>
Collaborate with product, engineering, marketing, and business teams to establish data-driven processes.</li><li>
Perform tracking implementation QA and ensure accuracy of analytics data collection.</li><li>
Conduct A/B testing analysis and evaluate the impact of product and business changes.</li><li>
Perform post-launch transaction analysis and ensure analytics readiness for new initiatives.</li><li>
Identify opportunities for process optimization and business improvement through data insights.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Business Intelligence &amp; Visualization</h3><ul><li>
Hands-on experience with Power BI or Tableau or Looker for dashboard creation and analytics reporting.</li><li>
Experience developing interactive dashboards, KPI reporting, and executive-level visualizations.</li></ul><h3 class="jobSectionHeader">
Data Modeling &amp; Analytics Engineering</h3><ul><li>
Strong experience with SQL and dbt for data transformation and analytics workflows.</li><li>
Experience designing and maintaining semantic models and reusable analytical datasets.</li><li>
Understanding of data modeling concepts, metrics definitions, and reporting frameworks.</li></ul><h3 class="jobSectionHeader">
Product &amp; Behavioral Analytics</h3><ul><li>
Experience with Mixpanel or Amplitude or Google Analytics or Hotjar for user behavior analysis.</li><li>
Strong understanding of behavioral analytics, user journey tracking, and engagement measurement.</li><li>
Experience defining metrics, event taxonomy planning, and tracking implementation QA.</li></ul><h3 class="jobSectionHeader">
Experimentation &amp; Measurement</h3><ul><li>
Experience designing and analyzing A/B testing initiatives.</li><li>
Ability to measure business impact through controlled experiments and analytical insights.</li><li>
Experience with post-launch analysis, transaction analysis, and performance tracking.</li></ul><h3 class="jobSectionHeader">
Reporting &amp; Productivity Tools</h3><ul><li>
Advanced proficiency in Microsoft Excel for analysis, reporting, and data validation.</li><li>
Experience working with analytics methodologies and comparable tools/platforms.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field.</li><li>
3&ndash;11 years of professional experience in Analytics, Business Intelligence, Data Transformation, or Product Analytics.</li><li>
Strong analytical, problem-solving, and communication skills.</li><li>
Ability to work with technical and non-technical stakeholders.</li><li>
Experience working in Agile/Scrum environments.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience supporting digital transformation and product analytics initiatives.</li><li>
Knowledge of cloud data platforms such as AWS, Azure, or Google Cloud Platform.</li><li>
Familiarity with data governance, analytics standards, and measurement frameworks.</li><li>
Experience working with large-scale datasets and enterprise reporting environments.</li><li>
Certifications in analytics, BI tools, or cloud technologies are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
Business Intelligence: Power BI or Tableau or Looker</li><li>
Analytics Engineering: dbt and SQL</li><li>
Data Modeling: Semantic Models and Metrics Frameworks</li><li>
Behavioral Analytics: Mixpanel or Amplitude or Google Analytics or Hotjar</li><li>
Product Analytics: Behavioral Analytics and Event Taxonomy Planning and A/B Testing</li><li>
Reporting &amp; Analysis: Excel and Dashboard Creation</li><li>
Analytics Operations: Tracking Implementation QA and Post-Launch Transaction Analysis Readiness</li><li>
Comparable Tools &amp; Methods: Similar analytics, BI, and transformation platforms as required by business needs</li></ul>
YIaTsfUsPM</div>

Analytics & Transformation Engineer

<div><h2 class="jobSectionHeader">Role Summary</h2>
We are seeking an experienced Platform Engineer to design, build, automate, and manage enterprise-grade application platforms and cloud-native infrastructure. The ideal candidate will have expertise in CI/CD, containerization, Kubernetes orchestration, Infrastructure as Code (IaC), configuration management, and platform automation to enable secure, scalable, and reliable software delivery.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design, build, and maintain enterprise platform infrastructure and developer platforms.</li><li>
Develop and manage CI/CD pipelines to automate application build, testing, deployment, and release processes.</li><li>
Deploy and manage containerized applications using Kubernetes and enterprise container platforms.</li><li>
Implement GitOps practices for automated application deployment and infrastructure management.</li><li>
Automate infrastructure provisioning and configuration using Infrastructure as Code (IaC) tools.</li><li>
Manage virtualization and cloud infrastructure environments.</li><li>
Monitor platform performance, availability, and reliability while implementing continuous improvements.</li><li>
Collaborate with Development, DevOps, Security, and Operations teams to deliver scalable platform solutions.</li><li>
Implement platform security, governance, backup, and disaster recovery best practices.</li><li>
Create technical documentation, operational runbooks, and deployment standards.</li></ul><h2 class="jobSectionHeader">
Must-Have Skills</h2><ul><li>
Experience with GitLab OR Jenkins for CI/CD pipeline development and automation.</li><li>
Experience with Argo CD for GitOps-based application deployment.</li><li>
Experience with SonarQube for code quality and static code analysis.</li><li>
Experience with Renovate Bot or comparable dependency management and automation tools.</li><li>
Hands-on experience with Docker OR Docker Compose for containerization.</li><li>
Experience with Kubernetes OR OpenShift OR Oracle Kubernetes Engine (OKE) OR Google Cloud Run for container orchestration and cloud-native application deployment.</li><li>
Experience with Terraform OR Ansible for Infrastructure as Code (IaC) and configuration management.</li><li>
Experience with VMware vCenter OR OpenStack for virtualization and private cloud infrastructure.</li><li>
Strong knowledge of Linux system administration and shell scripting.</li><li>
Understanding of cloud-native architecture, networking, security, and platform engineering best practices.</li></ul><h2 class="jobSectionHeader">
Good to Have</h2><ul><li>
Experience with AWS OR Microsoft Azure OR Google Cloud Platform (GCP).</li><li>
Experience with Helm OR Kustomize.</li><li>
Knowledge of Prometheus OR Grafana OR ELK Stack for monitoring and observability.</li><li>
Experience with HashiCorp Vault or other secrets management solutions.</li><li>
Familiarity with Python OR Go for platform automation.</li><li>
Experience implementing DevSecOps practices.</li><li>
Knowledge of service mesh technologies such as Istio or Linkerd.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's or Master's degree in Computer Science, Information Technology, Software Engineering, or a related field.</li><li>
3&ndash;12+ years of experience in Platform Engineering, DevOps, Cloud Infrastructure, Site Reliability Engineering (SRE), or Infrastructure Automation.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience designing and operating enterprise Kubernetes platforms.</li><li>
Strong understanding of GitOps, Infrastructure as Code, and cloud-native engineering principles.</li><li>
Experience delivering enterprise DevOps and platform modernization initiatives.</li><li>
Experience working in Agile/Scrum environments.</li><li>
Excellent communication, documentation, and stakeholder management skills.</li><li>
Ability to build secure, scalable, highly available, and automated platform solutions.</li></ul>
jh9EThp8S0</div>

Platform Engineer

Qualcomm

<div><h2 class="jobSectionHeader">Company:
</h2>Qualcomm Middle East Information Technology Company LLC
<h2 class="jobSectionHeader">Job Area:
</h2>Engineering Group, Engineering Group &gt; Software Engineering
General Summary:
About Us
Qualcomm is growing its presence in Riyadh and is hiring Data Centre Engineers to support our expanding infrastructure across the region.
As Saudi Arabia accelerates its digital transformation under Vision 2030, Qualcomm is investing in world‑class computing and data centre capabilities to power AI, cloud, and advanced connectivity at scale. This is a unique opportunity to work in a fast‑growing technology hub, supporting critical environments and helping shape the future of data centre operations in the Kingdom and beyond.
About the role
We are looking for strong technical and analytical skills in C++/Python‑based AI development in a Linux environment. Ability to work effectively as part of a team, take ownership of assigned tasks or features, and independently drive implementation within a defined technical scope.
We are looking for 2-8 years Software Engineering or related work experience 
 
 
Key Responsibilities will include
<ul><li>Improve and optimize key Deep Learning models on Qualcomm AI 100
</li><li>Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories
</li><li>Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning
</li><li>Build software tools and ecosystem around AI SW Stack.
</li><li>Work on Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.
</li><li>Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems
</li><li>Optimize the entire deep learning pipeline including graph compiler integration
</li><li>Apply knowledge of software engineering best practices. 
 
</li></ul>Required Skills and Aptitude
<ul><li>Deep Learning experience or knowledge &ndash; LLMs, Natural Language Processing, Vision, Audio, Recommendation systems
</li><li>Excellent C/C++ Or Python programming and software design skills, including debugging, performance analysis, and test design.
</li><li>Strong proficiency in PyTorch and JIT
</li><li>Ability to work independently on assigned problem areas, understand requirements, and drive development tasks to completion
</li><li>Avid problem solver &ndash; should be able to find solutions to key engineering and domain problems.
</li><li>Strong developer with a research mindset &ndash; strives to innovate.
</li></ul>Preferred Skills
<ul><li>Experiences to run workloads on large scale heterogeneous clusters is a plus
</li><li>Knowledge of compiler is a plus.
</li><li>Hands-on experience with CUDA, CUDNN is a plus.
</li><li>Well versed with open-source development practices.
</li></ul>Qualifications
<ul><li>Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
</li><li>3+ years Software Engineering or related work experience.
</li><li>2+ years experience with Programming Language such as C++, Python.
</li></ul>What's on Offer
Apart from working with great people, we offer the below:
<ul><li>Salary including housing &amp; transport allowance
</li><li>Stock (RSU's) and performance related bonus
</li><li>16 weeks fully paid Maternity Leave
</li><li>6 weeks fully paid Paternity Leave
</li><li>Employee stock purchase scheme
</li><li>Child Education Allowance
</li><li>Relocation and immigration support (if needed)
</li><li>Life and Medical Insurance
</li><li>Live+ Well Reimbursement for health and recreational membership fees
</li></ul>Minimum Qualifications:
<ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
</li></ul>OR
 
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
 
OR
 
PhD in Engineering, Information Systems, Computer Science, or related field.
 
 
<ul><li>2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul>*References to a particular number of years experience are for indicative purposes only. Applications from candidates with equivalent experience will be considered, provided that the candidate can demonstrate an ability to fulfill the principal duties of the role and possesses the required competencies.
<div>Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here . Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
</div>Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.
To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.
If you would like more information about this role, please contact Qualcomm Careers .</div>

Cloud Machine Learning Engineer - Riyadh, KSA

CodeNinja

<div>About the Role
We are seeking a Full-Stack Engineer with a strong expertise in Flutter to join a fast-growing
startup building digital solutions for the construction industry. While your primary
superpower will be driving mobile app development using Flutter, you will also play a key
role in building, maintaining, and integrating the backend services that power our mobile
experiences. This is a hands-on role for a versatile engineer who enjoys building scalable,
end-to-end features in a fast-paced, agile environment.
Key Responsibilities<ul><li>Frontend Mobile Development: Design, build, and maintain cross-platform mobile</li></ul>
applications using Flutter/Dart, translating complex UI/UX designs into high-quality,
responsive interfaces.<ul><li>Backend Architecture &amp; Integration: Develop, optimize, and maintain scalable</li></ul>
backend services, databases, and server-side logic to support the mobile application.<ul><li>API Management: Design and implement robust RESTful APIs, WebSockets, or</li></ul>
GraphQL endpoints, ensuring smooth data synchronization between the frontend
and backend.<ul><li>Performance Optimization: Debug, profile, and optimize end-to-end application</li></ul>
performance&mdash;addressing both mobile UI rendering bottlenecks and backend
database query latency.<ul><li>Clean Code &amp; Architecture: Maintain clean, scalable, and well-documented</li></ul>
architectural patterns across the entire technical stack.<ul><li>Startup Collaboration: Work closely with product owners, designers, and the</li></ul>
broader engineering team to contribute to architectural decisions as our product
scales. 
Requirements 
Core Mobile Expertise: 3&ndash;5 years of hands-on experience with Flutter &amp; Dart, with a
proven track record of shipping production-ready mobile apps to the App Store and
Google Play.<ul><li>Robust Backend Experience: Solid experience building server-side applications using</li></ul>
modern backend technologies (e.g., Node.js, Python/Django, Go, or .NET) and
managing relational/non-relational databases (PostgreSQL, MongoDB, etc.).<ul><li>State Management &amp; Architecture: Deep understanding of Flutter state</li></ul>
management solutions (Bloc, Riverpod, or Provider) and solid architectural patterns
(Clean Architecture, MVVM).<ul><li>System Integration: Strong proficiency in REST API integration, authentication</li></ul>
protocols (OAuth2, JWT), and third-party SDK integrations.<ul><li>Industry Context: Prior experience building software for construction, real estate,</li></ul>
PropTech, or field-services industries is a strong plus.<ul><li>Mindset &amp; Communication: Comfortable navigating a fast-paced startup</li></ul>
environment with evolving scopes. Strong English communication skills (written and
verbal) are essential.
Nice to Have<ul><li>Experience with Cloud Infrastructure (AWS, Azure, or GCP) and serverless</li></ul>
architectures.<ul><li>Familiarity with mobile CI/CD pipelines (Codemagic, Fastlane, GitHub Actions) and</li></ul>
automated testing frameworks.<ul><li>Background in native Android (Kotlin) or iOS (Swift) development.</li></ul></div>

Full Stack Flutter Developer

Explore 98+ Cloud engineer in Saudi Arabia this August. Find roles across top companies and apply now to boost your career.