mobile application engineer

Stimes Innovations WLL

<p>Stimes Innovations WLL is a ERP, HR, and POS software solutions provider in Qatar.</p><p>A Mobile Application Developer is an IT professional responsible for designing, developing, testing, and maintaining mobile applications for smartphones and tablets on platforms such as Android and iOS.</p><p><b>Job Description</b></p><ul><li>Design and develop mobile applications for Android and iOS devices</li><li>Write clean, efficient, and maintainable code</li><li>Build user-friendly interfaces and mobile features</li><li>Integrate applications with APIs, databases, and cloud services</li><li>Test, debug, and troubleshoot application issues</li><li>Optimize application performance, security, and scalability</li><li>Collaborate with UI/UX designers, developers, and project managers</li><li>Publish and maintain apps on app stores</li><li>Update applications based on user feedback and business requirements</li><li>Ensure compatibility across different devices and operating system versions</li></ul><p>Pay: From QAR18,000.00 per month</p><p>Work Location: In person</p>

Mobile Application Developer

U.S. Bank

<p></p><div><p>At U.S. Bank, we&rsquo;re on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions, enabling the communities we support to grow and succeed in the right ways, all more confidently and more often&mdash;that&rsquo;s what we call the courage to thrive. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive. Try new things, learn new skills and discover what you excel at&mdash;all from Day One.</p><p></p><p>
As a wholly owned subsidiary of U.S. Bank, Elavon is committed to building the platforms and ecosystems that help over 1.5 million customers around the world to achieve their financial goals&mdash;no matter what they need. From transaction processing to customer service, to driving innovation and launching new products, we&rsquo;re building a range of tailored payment solutions powered by the latest technology. As part of our team, you can explore what motivates and energizes your career goals: partnering with our customers, our communities, and each other.</p><p></p><h2 class="jobSectionHeader"><b>
Job Description</b></h2><div>
This position will be responsible for the analysis, design, testing, development and maintenance of best in class software experiences. The candidate is a self-motivated individual who can collaborate with a team and across the organization. The candidate takes responsibility of the software artifacts produced adhering to U.S. Bank standards in order to ensure minimal impact to the customer experience. The candidate will be adept with the agile software development lifecycle and DevOps principles.</div><div></div><div><p><b>
**</b><b><i>This position is not eligible for visa sponsorship.</i></b><b>***</b></p><b><br>
Essential Responsibilities:</b><br>
<ul><li>Responsible for designing, developing, testing, operating and maintaining products</li><li>Takes full stack ownership by consistently writing production-ready and testable code</li><li>Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems/contexts affected when defining technical designs</li><li>Performs analysis on failures, propose design changes, and encourage operational improvements</li><li>Makes sound design/coding decisions keeping customer experience in the forefront</li><li>Takes feedback from code review and apply changes to meet standards</li><li>Conducts code reviews to provide guidance on engineering best practices and compliance with development procedures</li><li>Accountable for ensuring all aspects of product development follow compliance and security best practices</li><li>Exhibits relentless focus in software reliability engineering standards embedded into development standards</li><li>Embraces emerging technology opportunities and contributes to the best practices in support of the bank&rsquo;s technology transformation</li></ul></div><p></p><div><b>
Basic Qualifications</b><br>
<ul><li>Bachelor&rsquo;s degree, or equivalent work experience</li><li>Two to three years of relevant experience</li></ul></div><p></p><div><b>
Preferred Skills/Experience</b></div><ul><li>
Experience building <b>backend-driven mobile applications and SDK-based integrations</b><b>
</b></li><li>Strong proficiency in <b>Kotlin/Java (Android) or Swift/Objective-C (iOS)</b> with backend interaction focus</li><li>
Experience in<b> C++ or C#</b> nice to have, but not necessary</li><li>
Expertise in <b>API integration, RESTful services, and mobile-to-backend communication patterns</b></li><li>
Experience developing and consuming <b>mobile SDKs, libraries, and platform components</b></li><li>
Strong <b>troubleshooting and root cause analysis</b> across mobile clients and backend services</li><li>
Experience supporting <b>high-scale, production-grade applications and distributed systems</b></li><li>
Knowledge of <b>application performance, monitoring, and stability across mobile + backend ecosystems</b></li><li>
Knowledge of Payments/FinTech industry a plus, but not required.</li></ul><p></p><p><b>
Location expectations</b><br>
This role requires working from a U.S. Bank location three (3) or more days per week.</p><p>
If there&rsquo;s anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.</p><p></p><p><b>
Benefits:</b></p><p>
Our approach to benefits and total rewards considers our team members&rsquo; whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following:</p><ul><li><p>
Healthcare (medical, dental, vision)</p></li><li><p>
Basic term and optional term life insurance</p></li><li><p>
Short-term and long-term disability</p></li><li><p>
Pregnancy disability and parental leave</p></li><li><p>
401(k) and employer-funded retirement plan</p></li><li><p>
Paid vacation (from two to five weeks depending on salary grade and tenure)</p></li><li><p>
Up to 11 paid holiday opportunities</p></li><li><p>
Adoption assistance</p></li><li><p>
Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law</p></li></ul><p></p><p>
Review our full benefits available by employment status here.
</p><p></p><p>U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.</p><p></p><p><b>
E-Verify</b></p><p>
U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services.</p><br>
<p></p>
The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $86,360.00 - $101,600.00<p></p><p>
U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.</p><p></p><p>
Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.</p><p></p><p><b>
Posting may be closed earlier due to high volume of applicants.</b></p></div>

Software Engineer 1 - Mobile

Qualcomm

<div><h2 class="jobSectionHeader"><b>Company:
</b></h2>Qualcomm Middle East Information Technology Company LLC
<p></p><h2 class="jobSectionHeader"><b>Job Area:
</b></h2>Engineering Group, Engineering Group &gt; Software Engineering
<p></p><p><b>General Summary:
</b></p><p></p><div><div><p><b>About Us
</b></p></div><div><p>Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including intelligent edge devices, next-generation computing platforms, and advanced AI solutions. Qualcomm&rsquo;s leadership in AI, high ‑ performance compute, and connectivity is driving innovation across cloud, edge, and data center environments - delivering scalable, power ‑ efficient platforms that power the next generation of intelligent infrastructure.<br>
</p></div><p></p><div><p><b>About the Role
</b></p></div><div><p>Qualcomm is seeking <b>Machine Learning Applications Engineer </b><b>&ndash; AI </b><b>Inference &amp; Model Optimization </b>to support the enablement of rack-scale deep learning workloads on advanced Qualcomm AI inference accelerator s . These accelerators utilize Qualcomm's expertise in hardware-accelerated AI to deliver high-performance, energy-efficient generative AI and computer vision inference solutions for modern data centers.
</p></div><p></p><div><p>This is a <b>customer </b>‑ <b>facing, highly technical role </b>focused on <b>porting, optimizing, and validating </b><b>deep learning </b><b>AI models </b>on production systems, and enabling Qualcomm&rsquo;s partners to develop and deploy advanced machine learning applications - including computer vision, speech, generative AI and state of the art multimodal reasoning models - using popular frameworks such as PyTorch , TensorFlow, and ONNX on Qualcomm Cloud AI accelerators. Key responsibilities include evaluating models for throughput, latency, and accuracy; profiling and optimizing model performance; building robust application pipelines; integrating customer frameworks; and contributing to documentation, training, and demonstrations.
</p></div><p></p><div><p>The role requires strong expertise in AI models, quantization, performance optimization, and deployment, plus the ability to shape architecture, workload sizing, and system design. It also requires experience with deep learning model development across hardware platforms, solid programming skills, collaboration with cross-functional teams, and proficiency in machine learning frameworks, Linux, and container orchestration tools.
</p></div><p></p><div><p>The ideal candidate can effectively <b>bridge AI model requirements hardware capabilities customer expectations </b>, guiding customers from <b>model selection hardware sizing deployment decisions production readiness.
</b></p></div><p></p><div><p><b>What You&rsquo;ll Do
</b></p></div><div><p><b>A) AI Model Porting &amp; Optimization
</b></p></div><div><ul><li><p>Deploy, optimize and scale deep learning AI models onto accelerator ‑ based data center platforms, including:
</p></li></ul></div><div><ul><li><p>Model conversion workflows
</p></li></ul></div><div><ul><li><p>Quantization techniques (INT8 / mixed precision)
</p></li></ul></div><div><ul><li><p>Runtime integration and optimization
</p></li></ul></div><div><ul><li><p>Integrate ML models onto Qualcomm&rsquo;s Cloud AI ML stack from frameworks such as PyTorch , TensorFlow, and ONNX.
</p></li></ul></div><div><ul><li><p>Drive improvements in <b>model </b><b>throughput </b><b>, </b><b>latency </b><b>, and accuracy </b>, with clear trade ‑ off analysis.
</p></li></ul></div><div><ul><li><p>Build, test, and deploy scalable inference pipelines using serving frameworks such as vLLM , TGI, and Triton.
</p></li></ul></div><div><ul><li><p>Optimize workloads for LLM and GenAI models across both multi-SoC and multi-card architectures.
</p></li></ul></div></div><div><div><ul><li><p>Collaborate with engineering teams to analyze and refine training and inference for advanced deep learning applications.
</p></li></ul></div><div><ul><li><p>Identify bottlenecks across compute, memory, and runtime, and guide optimization strategies.
</p></li></ul></div><div><ul><li><p>Contribute to Qualcomm&rsquo;s Cloud AI GitHub repository and developer documentation, sharing technical best practices and solutions.
</p></li></ul></div><div><ul><li><p>Develop and integrate end-to-end ML application pipelines with customer frameworks and libraries.<br>
</p></li></ul></div><p></p><div><p><b>B) Customer </b>‑ <b>Facing Technical Engagement
</b></p></div><div><ul><li><p>Act as a <b>trusted technical advisor </b>for customers deploying AI workloads.
</p></li></ul></div><div><ul><li><p>Engage in <b>hardware sizing and architecture discussions </b>, aligning model requirements with infrastructure capabilities.
</p></li></ul></div><div><ul><li><p>Provide technical guidance on:
</p></li></ul></div><div><ul><li><p>AI model selection
</p></li></ul></div><div><ul><li><p>Deployment feasibility
</p></li></ul></div><div><ul><li><p>System architecture and performance expectations
</p></li></ul></div><div><ul><li><p>Lead discussions on <b>model capabilities and limitations </b>based on real customer use cases.<br>
</p></li></ul></div><p></p><div><p><b>C) Model&ndash;Infrastructure Alignment
</b></p></div><div><ul><li><p>Assess and evaluate AI model requirements and recommend <b>alternative model approaches </b>when necessary.
</p></li></ul></div><div><ul><li><p>Align model characteristics (latency, throughput, accuracy) with <b>accelerator and system capabilities </b>.
</p></li></ul></div><div><ul><li><p>Connect <b>model requirements </b>with:
</p></li></ul></div><div><ul><li><p>Memory constraints
</p></li></ul></div></div><div><div><ul><li><p>Accelerator architecture
</p></li></ul></div><div><ul><li><p>Scaling limitations
</p></li></ul></div><div><ul><li><p>Support customers in defining <b>model selection strategies based on deployment realities </b>.<br>
</p></li></ul></div><p></p><div><p><b>D) Performance &amp; Scalability Engineering
</b></p></div><div><ul><li><p>Evaluate performance characteristics of AI models in production scenarios, including:
</p></li></ul></div><div><ul><li><p>Throughput expectations
</p></li></ul></div><div><ul><li><p>Latency targets
</p></li></ul></div><div><ul><li><p>Concurrency behavior
</p></li></ul></div><div><ul><li><p>Guide architecture decisions around:
</p></li></ul></div><div><ul><li><p>Scaling strategies (horizontal vs vertical)
</p></li></ul></div><div><ul><li><p>Hardware deployment sizing
</p></li></ul></div><div><ul><li><p>Contribute to discussions on:
</p></li></ul></div><div><ul><li><p>Workload scalability limits
</p></li></ul></div><div><ul><li><p>Impact of model selection on system performance and efficiency
</p></li></ul></div><div><ul><li><p>Provide insights into <b>capacity planning and infrastructure optimization </b>.<br>
</p></li></ul></div><p></p><div><p><b>E) End </b>‑ <b>to </b>‑ <b>End AI Pipeline Design
</b></p></div><div><ul><li><p>Drive discussions around <b>end </b>‑ <b>to </b>‑ <b>end AI pipelines </b>, including:
</p></li></ul></div><div><ul><li><p>Multi ‑ model workflows (e.g., detection + tracking + recognition)
</p></li></ul></div></div><div><div><ul><li><p>Data preprocessing and post ‑ processing stages
</p></li></ul></div><div><ul><li><p>Guide decisions on video and data processing stacks, including:
</p></li></ul></div><div><ul><li><p>Video pipeline choices (e.g., FFMPEG vs GStreamer )
</p></li></ul></div><div><ul><li><p>Integration into inference pipelines
</p></li></ul></div><div><ul><li><p>Ensure pipelines are aligned with:
</p></li></ul></div><div><ul><li><p>Performance requirements
</p></li></ul></div><div><ul><li><p>Hardware capabilities
</p></li></ul></div><div><ul><li><p>Real ‑ time constraints<br>
</p></li></ul></div><p></p><div><p><b>F) Model Trade </b>‑ <b>off Analysis &amp; Validation
</b></p></div><div><ul><li><p>Highlight and explain trade ‑ offs between:
</p></li></ul></div><div><ul><li><p>Accuracy vs compatibility
</p></li></ul></div><div><ul><li><p>Model quality vs deployment feasibility
</p></li></ul></div><div><ul><li><p>Support decision ‑ making on:
</p></li></ul></div><div><ul><li><p>Model simplification vs performance gains
</p></li></ul></div><div><ul><li><p>Precision vs efficiency trade ‑ offs
</p></li></ul></div><div><ul><li><p>Lead or support <b>model capability validation </b>in deployment environments.
</p></li></ul></div><div><ul><li><p>Collaborate with customers to define:
</p></li></ul></div><div><ul><li><p>Inference assumptions
</p></li></ul></div><div><ul><li><p>Model sizing strategies for large ‑ scale workloads<br>
</p></li></ul></div></div><p></p><div><div><p><b>Required Qualifications
</b></p></div><div><ul><li><p>Bachelor&rsquo;s degree in Computer Science , Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
</p></li></ul></div><div><ul><li><p>10&ndash;15+ years of experience in:
</p></li></ul></div><div><ul><li><p>D eep learning model development or deployment experience on CPUs/GPUs/ASICs.
</p></li></ul></div><div><ul><li><p>Inference systems and optimization
</p></li></ul></div><div><ul><li><p>Data center or edge AI platforms
</p></li></ul></div><div><ul><li><p>Strong experience with:
</p></li></ul></div><div><ul><li><p>Model quantization and optimization techniques
</p></li></ul></div><div><ul><li><p>AI model frameworks (e.g., PyTorch , TensorFlow)
</p></li></ul></div><div><ul><li><p>Model deployment pipelines
</p></li></ul></div><div><ul><li><p>Excellent C/C++/Python programming and software design skills, including debugging, and performance analysis.
</p></li></ul></div><div><ul><li><p>Hands on expertise with Linux-based systems, low level software, drivers, and system bring up.
</p></li></ul></div><div><ul><li><p>Proven ability to analyze and optimize model performance in production environments.
</p></li></ul></div><div><ul><li><p>Solid understanding of:
</p></li></ul></div><div><ul><li><p>AI inference hardware constraints
</p></li></ul></div><div><ul><li><p>System level performance bottlenecks
</p></li></ul></div><div><ul><li><p>Strong communication skills and experience in customer facing technical roles.
</p></li></ul></div><div><ul><li><p>Willingness to travel for customer engagements and strategic reviews.<br>
</p></li></ul></div></div><p></p><div><div><p><b>Preferred Qualifications
</b></p></div><div><ul><li><p>Skilled in deploying models on platforms that use hardware accelerators for inference.
</p></li></ul></div><div><ul><li><p>Experienced with managing multi-model workflows and building real-time AI systems, including computer vision, video, and analytics projects.
</p></li></ul></div><div><ul><li><p>Knowledgeable about distributed inference methods and handling large-scale model deployments.
</p></li></ul></div><div><ul><li><p>Proficient in developing and maintaining video processing workflows and using relevant software frameworks.
</p></li></ul></div><div><ul><li><p>Deep understanding of how system-level decisions affect performance in actual deployment environments.
</p></li></ul></div><div><ul><li><p>Capable of simplifying complex technical ideas into straightforward, useful advice for clients.
</p></li></ul></div><div><ul><li><p>Hands-on experience running deep learning models on popular ML frameworks such as PyTorch , TensorFlow, ONNX
</p></li></ul></div><div><ul><li><p>Experience developing software solutions that run in Linux environments with containers and orchestration
</p></li></ul></div><div><ul><li><p>Experience with Source code and configuration management tools, Git knowledge is required.
</p></li></ul></div><div><ul><li><p>Customer-facing experience translating customer requirements into technical solutions (discovery, scoping, success criteria, and execution plans).
</p></li></ul></div><div><ul><li><p>Proven ability to build and deliver technical demos, proofs-of-concept, and reference applications for ML/GenAI workloads.
</p></li></ul></div><div><ul><li><p>Strong technical writing skills to produce customer-ready documentation (getting started guides, deployment runbooks, troubleshooting guides) and deliver partner training sessions.
</p></li></ul></div><div><ul><li><p>Experience driving issue triage and technical escalations with customers, coordinating across product , hardware, and software engineering teams to resolution.
</p></li></ul></div><div><ul><li><p>Excellent stakeholder management and communication skills: present complex technical concepts clearly to both engineering and non-engineering audiences.<br>
</p></li></ul></div></div><p></p><div><p><b>Why Join Qualcomm
</b></p></div><div><p>At Qualcomm, you&rsquo;ll work at the intersection of <b>AI silicon, system architecture, and real </b>‑ <b>world deployment </b>. You will engage directly with strategic customers, influence next ‑ generation AI data center platforms, and help define scalable, power ‑ efficient infrastructure for the AI era. This role provides a unique opportunity to shape both <b>technology direction and customer outcomes </b>, while working with world ‑ class engineering and product teams.
</p><p></p><p><b>What's on Offer
</b></p><p>Apart from working with great people, we offer the below:
</p><ul><li><p>Salary including housing &amp; transport allowance
</p></li><li><p>Stock (RSU's) and performance related bonus
</p></li><li><p>16 weeks fully paid Maternity Leave
</p></li><li><p>6 weeks fully paid Paternity Leave
</p></li><li><p>Employee stock purchase scheme
</p></li><li><p>Child Education Allowance
</p></li><li><p>Relocation and immigration support (if needed)
</p></li><li><p>Life and Medical Insurance
</p></li><li><p>Live+ Well Reimbursement for health and recreational membership fees
</p></li></ul></div><p></p><p><b>Minimum Qualifications:
</b></p><ul><li>Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
</li></ul>OR
<br>
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience.
<br>
OR
<br>
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
<br>
<br>
<ul><li>3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
</li></ul><p></p><p>*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.
</p><p></p><div><p>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).
</p></div><p></p><p>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.
</p><p></p><p><b>To all Staffing and Recruiting Agencies </b>: 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.
</p><p></p><p>If you would like more information about this role, please contact Qualcomm Careers .</p></div>

ML Application Engineer – AI Inference & Model Optimization (Staff/Senior Staff level) - Riyadh, KSA

BLUE TECHNOLOGY INC.

<p>We&rsquo;re looking for a talented Full Stack Software Engineer to join our growing, fully remote team. You&rsquo;ll work across the entire stack&mdash;building scalable backend services, intuitive web and mobile interfaces, and shipping production-ready features that make a real impact.<br/>This role is ideal for someone who enjoys ownership, collaboration, and working in a fast-paced environment using modern tools and best practices.<br/>What You&rsquo;ll Do</p><ul><li>Design, develop, and maintain full stack applications from concept to deployment.</li><li>Build responsive, user-friendly interfaces using modern frontend frameworks.</li><li>Develop scalable backend services and APIs.</li><li>Collaborate closely with product managers, designers, and engineers to deliver high-quality features.</li><li>Write clean, maintainable, and well-documented code.</li><li>Participate in code reviews, testing, and CI/CD workflows.</li><li>Troubleshoot, optimize, and improve application performance and reliability.</li></ul><p>Tech Stack<br/><i>(Experience with some &mdash; not necessarily all &mdash; of the following is expected.)</i><br/>Frontend</p><ul><li>React</li><li>Next.js</li><li>React Native</li><li>HTML5, CSS3</li><li>JavaScript / TypeScript</li></ul><p>Backend</p><ul><li>Node.js (NestJS or Express)</li><li>REST and/or GraphQL APIs</li></ul><p>Database</p><ul><li>PostgreSQL (or other relational databases)</li><li>ORM tools (Prisma, Sequelize, TypeORM, etc.)</li></ul><p>DevOps &amp; Tools</p><ul><li>Git &amp; GitHub</li><li>CI/CD pipelines</li><li>Cloud platforms (AWS, GCP, or Azure)</li></ul><p>What We&rsquo;re Looking For</p><ul><li>3+ years of professional experience as a Full Stack Software Engineer.</li><li>Strong proficiency in JavaScript/TypeScript.</li><li>Experience building and deploying production applications.</li><li>Solid understanding of frontend and backend architecture.</li><li>Familiarity with databases, APIs, and cloud-based systems.</li><li>Strong problem-solving skills and attention to detail.</li><li>Excellent communication skills and ability to work remotely.</li></ul><p>Nice to Have</p><ul><li>Experience with mobile development (React Native).</li><li>Exposure to AI-assisted development tools.</li><li>Startup or fast-growth environment experience.</li></ul><p>Why Join Us</p><ul><li>Fully remote work environment.</li><li>Opportunity to work on meaningful, high-impact products.</li><li>Collaborative and growth-oriented engineering culture.</li><li>Competitive compensation based on experience.</li></ul><p>Application Process</p><ul><li>Initial screening call</li><li>Technical assessment or take-home task</li><li>Live technical interview</li><li>Final interview</li></ul><p>Work Location: Remote</p>

Full Stack Software Engineer

ITWORX

<div><p>Principal Software Engineer - P1 | Fulltime</p>
<div><h6 class="jobSectionHeader"><b>Job Description:</b></h6>
<p></p><p>JD:</p>
<ul><li>Communicate with customer to understand the reported issue</li>
<li>Investigate and identify the root cause of the reported issues (DB, Network, Application, mobile App, etc.)</li>
<li>Troubleshoot and work with different teams including but not limited to infrastructure, DBA, security, development team to solve the reported issue</li>
<li>Fixing issues discovered during troubleshooting</li><br>
</ul></div><p></p><div><h6 class="jobSectionHeader"><b>Job Requirements:</b></h6>
<p></p><ul><li>Bachelor's degree in computer science or equivalent</li>
<li>10+ Years of Experience</li>
<li>Strong SQL skills (queries, tuning, indexing, troubleshooting).</li>
<li>Administration of web/app servers (IIS, Tomcat, Nginx).</li>
<li>Troubleshooting across app, DB, OS, network, identity, and integration layers.</li>
<li>API, ETL, and ESB/iPaaS integration support (REST/SOAP, authentication flows, data pipelines).</li>
<li>Experience with React Native mobile application support (builds, releases, crash logs, compatibility).</li>
<li>Log analysis, performance tuning, and monitoring/alerting setup.</li>
<li>ITIL Incident, Problem, and Change management.</li><br>
</ul></div><p></p><br>
<br>
<div><h6 class="jobSectionHeader"><b>Equal opportunity:</b></h6>
<p>All qualified applicants will receive consideration for employment without regard to age, religion, gender, nationality or disability. All qualified candidates will be considered in the process</p></div></div><p></p>
<br><div><div><div><div><div>Posted 2 weeks ago
</div></div></div><div><div><div><div><div><ul><li><b>Job Location</b></li>
<li>Egypt</li>
</ul></div></div><div><div><ul><li><b>Job Code</b></li>
<li><b>2144</b></li>
</ul></div></div></div></div></div><div><div><div><div><h5 class="jobSectionHeader"><b>Job Overview</b></h5>
</div><div><div><ul><li>Experience</li>
<li>10+ Years</li>
</ul></div></div><div><div><ul><li>Job Level:</li>
<li>Mid Career</li>
</ul></div></div><div><div><ul><li>Education</li>
<li>Bachelor's degree in computer science or equivalent</li></ul></div></div></div></div></div></div></div><p></p>

Principal Software Engineer - P1

Castrol KSA

<div>
 <p>
  Technical Field Engineer &ndash; Sales Support
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a dynamic and technically strong
  <strong>
   Technical Field Engineer
  </strong>
  to join our Sales Support team. The ideal candidate will combine strong lubrication expertise with customer-facing and commercial support experience.
 </p>
 <p>
  Key Responsibilities:
 </p>
 <ul>
  <li>
   Conduct lubrication audits for industrial and mobile equipment.
  </li>
  <li>
   Perform Root Cause Analysis (RCA) for engines, compressors, gearboxes, and other critical assets.
  </li>
  <li>
   Diagnose lubrication-related failures including contamination, wear, and improper application.
  </li>
  <li>
   Support sales teams in customer meetings by presenting product strengths and recommending suitable lubrication solutions.
  </li>
  <li>
   Ensure compliance with OEM requirements and international standards.
  </li>
  <li>
   Design and manage oil sampling programs, coordinate with laboratories, and interpret test results.
  </li>
  <li>
   Discuss findings with customers and provide actionable technical recommendations.
  </li>
  <li>
   Deliver technical training sessions and presentations.
  </li>
  <li>
   Prepare professional technical reports and audit summaries.
  </li>
 </ul>
 <p>
  Qualifications:
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Mechanical Engineering or related field.
  </li>
  <li>
   Strong knowledge of industrial and automotive lubrication systems.
  </li>
  <li>
   Experience in oil analysis and laboratory coordination.
  </li>
  <li>
   Excellent communication and presentation skills.
  </li>
  <li>
   Ability to work closely with sales teams and customers.
  </li>
 </ul>
 <p>
 </p>
</div>


Technical Field Engineer

Magnatec Systems Private Limited

<p><b>About the Role</b></p><p>We are hiring a hands-on penetration testing engineer to conduct security assessments across our web applications, mobile platforms, and APIs. We expect deep manual testing &mdash; not scanner-only work &mdash; strong methodology, and clear reporting at every phase.</p><p><b>Key Responsibilities</b></p><p><b>Web &amp; Mobile Application \ Api Security Testing</b></p><ul><li>Manual black-box and grey-box testing following OWASP Top 10</li><li>Test for SQLi, XSS, CSRF, IDOR, SSRF, Broken Authentication, and Access Control flaws</li><li>Assess session management, cookies, HTTP headers, and client-side JavaScript logic</li><li>Static and dynamic assessment of Android and iOS apps following OWASP MASVS</li><li>APK/IPA reverse engineering, hardcoded secrets detection, insecure local storage</li><li>SSL pinning bypass, MitM traffic interception, runtime instrumentation</li><li>Biometric bypass, session token handling</li><li>Test REST endpoints against OWASP API Security Top 10</li><li>Focus on BOLA, JWT abuse, OAuth 2.0 flaws, mass assignment, and rate limiting gaps</li></ul><p><b>Reporting</b></p><ul><li>CVSS-scored findings with reproduction steps and proof-of-concept screenshots</li><li>Executive summary for management and full technical report for developers</li><li>Prioritised remediation roadmap and re-testing after fixes</li></ul><p><b>Requirements</b></p><p><b>Must Have</b></p><ul><li>3+ years hands-on penetration testing &mdash; web and mobile focus</li><li>Strong knowledge of OWASP Top 10, OWASP MASVS, OWASP API Security Top 10</li><li>Android and iOS hands-on testing experience</li><li>Professional report writing for both technical and non-technical audiences</li></ul><p><b>Nice to Have</b></p><p><b>Essential Tools</b></p><p>Burp Suite Pro, OWASP ZAP, SQLMap, Nikto, Gobuster,MobSF, jadx, apktool, Frida, Objection, ADB, Charles Proxy,Postman, jwt_tool, InQL,</p><p>Work Location: In person</p>

Penetration Tester

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