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automation software engineer

QNBeyond Plus

<div>
 
 About the Role
 
 
 We are looking for a skilled
 
 Software Automation Test Engineer
 
 with strong experience in mobile automation testing using
 
 Appium
 
 to join our quality engineering team.
 
 
 In this role, you will be responsible for designing, developing, and maintaining automated test frameworks for mobile applications that power our digital banking platform. You will work closely with developers, product managers, and QA teams to ensure the delivery of high-quality, reliable software.
 
 
 Key Responsibilities
 
 
 Test Automation
 
 <ul>
 <li>
 Design and develop
 
 automated test scripts for mobile applications
 
 using Appium.
 </li>
 <li>
 Maintain and enhance
 
 test automation frameworks
 
 for scalable testing.
 </li>
 </ul>
 
 Mobile Testing
 
 <ul>
 <li>
 Execute automated tests across
 
 Android and iOS platforms
 
 .
 </li>
 <li>
 Ensure the quality and reliability of mobile applications.
 </li>
 </ul>
 
 Test Strategy &amp; Execution
 
 <ul>
 <li>
 Develop test plans, test cases, and test scenarios.
 </li>
 <li>
 Identify, document, and track defects using issue tracking systems.
 </li>
 </ul>
 
 CI/CD Integration
 
 <ul>
 <li>
 Integrate automated tests into
 
 CI/CD pipelines
 
 to support continuous testing.
 </li>
 </ul>
 
 Collaboration
 
 <ul>
 <li>
 Work closely with developers, product managers, and QA teams to ensure quality throughout the development lifecycle.
 </li>
 <li>
 Participate in
 
 Agile ceremonies
 
 including sprint planning and retrospectives.
 </li>
 </ul>
 
 Required Qualifications
 
 
 Experience
 
 <ul>
 <li>
 
 3+ years of experience in software testing
 
 </li>
 <li>
 
 2+ years of experience in automation testing
 
 </li>
 </ul>
 
 Technical Skills
 
 <ul>
 <li>
 Appium
 </li>
 <li>
 Mobile test automation
 </li>
 <li>
 Java / JavaScript / Python (for automation scripting)
 </li>
 <li>
 Test frameworks and automation tools
 </li>
 <li>
 REST API testing
 </li>
 </ul>
 
 Mobile Platforms
 
 <ul>
 <li>
 Experience testing
 
 Android and iOS applications
 
 </li>
 </ul>
 
 Professional Skills
 
 <ul>
 <li>
 Strong analytical and problem-solving abilities
 </li>
 <li>
 Experience working in
 
 Agile environments
 
 </li>
 <li>
 Strong collaboration and communication skills
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience testing
 
 mobile banking or fintech applications
 
 </li>
 <li>
 Experience with
 
 CI/CD tools (Jenkins, GitLab CI/CD, or similar)
 
 </li>
 <li>
 Experience with
 
 test reporting tools
 
 </li>
 <li>
 Knowledge of
 
 performance or security testing
 
 </li>
 </ul>
 
 
</div>

Software Automation Test Engineer

Siemens Digital Industries Software

<div>
 Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our software.
 
 
 About the role:
 
 
 Are you passionate about AI and interested in shaping the future of interactive and generative technology? We are seeking a talented AI Software Engineer to join our team and contribute to the development of cutting-edge copilot and agent services using Large Language Models (LLMs). Our aim is to create copilots that provide intelligent, conversational experiences and agents that will redefine how our users interact with our software.
 
 
 If you're excited about working with the latest advancements in Generative AI and delivering top-notch services in a fast-paced environment, we'd love for you to apply.
 
 
 What you&rsquo;ll be doing:
 
 
 As an AI Software Engineer, you will design, build, and maintain copilot and agent solutions powered by LLM technology. Your responsibilities include:
 
 
 <ul>
 <li>
 Assessing the current capabilities of agent services in the Siemens DI ecosystem for our adoption
 </li>
 <li>
 Collaborating with company-wide cross-functional teams to reflect our team&rsquo;s requirements and help extending central services features when necessary, using the contribution model.
 </li>
 <li>
 Collaborating with product teams for their adoption of agent frameworks; support integration of UI, help setting up product specific agents, ensure high quality by keeping up with the latest AI model capabilities.
 </li>
 <li>
 Ensuring the copilots and agents are scalable and maintain high performance
 </li>
 <li>
 Helping the transition of the organization towards AI-assisted products by training and upskilling product teams.
 </li>
 <li>
 Writing clean, testable code and engaging in peer code reviews to maintain high standards of software quality.
 </li>
 <li>
 Assessing service performance, troubleshooting issues, and deploying fixes to ensure seamless user experiences.
 </li>
 <li>
 Staying current with industry trends in agent development and LLM advancements, applying this knowledge to improve our service offerings.
 
 
 </li>
 </ul>
 What you&rsquo;ll bring:
 
 
 <ul>
 <li>
 Master&rsquo;s Degree in Computer Science, AI, or a related technical field, with relevant experience in copilot/agent development.
 </li>
 <li>
 Solid understanding of and experience with LLM frameworks and conversational AI technologies.
 </li>
 <li>
 Proficient in programming languages relevant to AI and copilot/agent development, such as Python.
 </li>
 <li>
 Experience with multi-team, collaborative software development including source control and collaborative design and code reviews
 </li>
 <li>
 Experience working with cloud platforms (AWS, Azure) and their AI-related services and tools is a plus.
 </li>
 <li>
 Experience in deploying and maintaining applications in a 24x7 production environment, including handling scalability and security considerations is beneficial.
 </li>
 <li>
 A proactive approach to problem-solving, a keen eye for optimization, and a passion for learning and implementing emerging technologies.
 </li>
 <li>
 Excellent collaborative skills for working in a highly interdisciplinary subject.
 
 
 </li>
 </ul>
 If you're excited by the prospect of developing AI-driven solutions that resonate with users and create compelling interactions, we encourage you to apply. If you don't have every qualification mentioned but believe you can bring value to our team, we're eager to know more about your unique perspectives and experiences. Join us and help build AI services that redefine the standard for AI-human interaction.
 
 
 We are Siemens:
 
 
 A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us Transform the everyday!
 
 
 We offer a comprehensive reward package which includes a competitive basic salary, bonus scheme, generous holiday allowance, pension, and private healthcare.
 
 
 Siemens is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
 
 
 If you believe in technology with purpose and are interested in learning more about Siemens Digital Industries Software before you apply then check out our Mission / Vision and our software portfolio, meet the team and join our Talent Community today so that we can stay connected in the areas that interest you: www.siemens.com/careers/transformtheeveryday/
 
 
 #DISWSIM
 
 
</div>

AI Software Engineer

<div>
 
 Overview
 
 
 
 We empower clients to overcome accounting and financial reporting challenges by delivering innovative technology solutions. As part of our Data &amp; AI team in the AI Hub, you will help drive analytics, decision-making, and innovation, contributing to a more agile and efficient finance function. By fostering outstanding leadership and teamwork, we fulfil our commitment to stakeholders and play a pivotal role in building a better working world for our people, clients, and communities.
 
 
 
 The Opportunity
 
 
 
 We are seeking a Senior AI Software Engineer to join our AI Hub, where we rapidly deliver prototypes, proof-of-concepts (PoCs), and minimum viable products (MVPs), as well as delivering production‑grade solutions that bring AI use cases to life. This role demands expertise across both front-end and back-end development, supporting the creation of dynamic AI-driven products such as GenAI-enabled web applications, use case marketplaces, and diagnostic tools. You will be responsible for designing, building, and optimizing end-to-end solutions, translating business requirements into robust, scalable, secure, and accessible web experiences suitable for enterprise production environments.
 
 
 Core Requirements
 
 
 <ul>
 <li>
 5+ years of professional experience delivering enterprise-grade software solutions across backend and frontend systems.
 </li>
 <li>
 Strong hands-on experience building secure, scalable, and maintainable APIs using Python and Node.js, with frameworks such as FastAPI and Fastify.
 </li>
 <li>
 Solid frontend engineering experience with TypeScript, React, and Next.js, following enterprise UI and accessibility standards.
 </li>
 <li>
 Proven experience containerizing, deploying, and operating applications in production using Docker and Kubernetes, with a strong understanding of reliability and scalability.
 </li>
 <li>
 Experience designing, implementing, and maintaining CI/CD pipelines using Jenkins, GitHub Actions, or Azure DevOps, with automated testing and quality gates.
 </li>
 <li>
 Hands-on experience deploying and operating production workloads on Microsoft Azure, including services such as AKS, Azure Container Apps, Azure Container Registry, and related platform services.
 </li>
 <li>
 Strong understanding and application of software engineering best practices, including SOLID principles, clean architecture, and common enterprise design patterns.
 </li>
 <li>
 Experience working with relational databases such as MS SQL Server and PostgreSQL, including schema design, query optimization, and transactional consistency.
 </li>
 <li>
 Practical experience with vector databases (e.g., Chroma, Milvus, Pinecone) and pgvector, including building and operating Retrieval Augmented Generation (RAG) pipelines in production environments.
 </li>
 <li>
 Ability to collaborate effectively in cross-functional enterprise teams, including product, architecture, security, and cloud/platform teams.
 </li>
 <li>
 Experience working with LLMs and AI platforms, such as Azure OpenAI, OpenAI APIs, or similar enterprise AI services.
 </li>
 <li>
 Familiarity with LLM orchestration frameworks such as LangChain, Semantic Kernel, or equivalent.
 </li>
 <li>
 hands-on experience using AI coding assistants (Claude Code, OpenAI Codex,..etc)
 </li>
 <li>
 Strong documentation skills and experience contributing to architecture decisions, technical standards, and internal best practices.
 </li>
 <li>
 Prior experience mentoring junior engineers or contributing to engineering excellence initiatives.
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 Exposure to MLOps or AI platform operations, including model lifecycle management, monitoring, and observability.
 </li>
 <li>
 Experience with event-driven or distributed architecture (e.g., message queues, service buses, async processing).
 </li>
 <li>
 Knowledge of observability and monitoring tools (e.g., Azure Monitor, Application Insights, Prometheus, Grafana).
 </li>
 <li>
 Experience working in regulated or compliance-driven environments (e.g., financial services, audit).
 </li>
 <li>
 Familiarity with infrastructure-as-code tools such as Terraform, Bicep, or ARM templates.
 
 
 </li>
 </ul>
 What We Look For
 
 
 We are seeking ambitious builders who excel at transforming ambiguity into impactful digital solutions. You are passionate about AI-driven products, comfortable with rapid prototyping, and motivated by delivering market-relevant, client-centric applications that generate tangible value.
 
 
 What We Offer
 
 
 <ul>
 <li>
 Competitive compensation package, performance-based rewards, and recognition for your contributions.
 </li>
 <li>
 Continuous learning and world-class professional development opportunities.
 </li>
 <li>
 Flexible work arrangements to empower your impact.
 </li>
 <li>
 Coaching, mentorship, and transformative leadership experiences.
 </li>
 <li>
 A diverse, inclusive, and collaborative culture.
 
 
 </li>
 </ul>
 If you meet the above criteria, we encourage you to apply and become part of the exceptional EY experience, where you can shape your future and help us build a better working world.
</div>

Senior Consultant - AI Software Engineer- AI Hub - Cairo

Arrow Components

<div>
 
 Position
 
 
 
 Senior Software Quality Engineer
 
 
 
 Job Description
 
 
 
 We&rsquo;re looking for a
 
 Senior Software Quality Engineer
 
 with strong experience in manual, automation, performance, and API testing, along with a passion for using
 
 AI/ML to enhance software testing
 
 . You&rsquo;ll be part of an Agile team focused on delivering high-quality products faster and smarter.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Plan, design, and execute manual and automated test cases based on requirements, user stories, and acceptance criteria.
 </li>
 <li>
 Develop and maintain test automation frameworks across UI and API platforms.
 </li>
 <li>
 Perform API testing using tools like Postman, RestAssured, or similar.
 </li>
 <li>
 Develop and maintain performance testing using tools such as JMeter, Gatling, or LoadRunner; analyze performance metrics and suggest improvements.
 </li>
 <li>
 Apply AI/ML technologies techniques to improve testing practices, such as:
 </li>
 <ul>
 <li>
 AI-assisted test case generation
 </li>
 <li>
 Test impact analysis
 </li>
 <li>
 Intelligent test prioritization
 </li>
 <li>
 Self-healing automation scripts
 </li>
 <li>
 Predictive defect analysis
 </li>
 </ul>
 <li>
 Collaborate with developers, product owners, and business analysts in Agile ceremonies including sprint planning, reviews, and retrospectives.
 </li>
 <li>
 Contribute to and enforce quality best practices, including shift-left testing and test strategy planning.
 </li>
 <li>
 Investigate, debug, and triage issues; perform root cause analysis and track defect trends.
 </li>
 <li>
 Continuously explore and evaluate new tools and techniques to optimize test coverage and cycle time.
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 3+ years in QC with expertise in manual, automation, API, and performance testing.
 </li>
 <li>
 Hands-on experience with tools like Selenium, Playwright, JMeter, and Postman.
 </li>
 <li>
 Proficient in scripting/programming languages like Python, Java, or JavaScript.
 </li>
 <li>
 Working knowledge of AI/ML concepts, especially as applied to testing (e.g., pattern detection, test impact analysis).
 </li>
 <li>
 Experience using or evaluating AI-based testing tools or frameworks.
 </li>
 <li>
 Solid understanding of Agile/Scrum practices and CI/CD pipelines.
 </li>
 <li>
 Strong analytical, debugging, and problem-solving skills.
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior Software Quality Engineer

Flatgigs

<div>
 
 The Role
 
 
 
 The Forward Deployed AI Engineer will work directly with clients and senior engineers to build AI-powered systems inside real enterprise environments. This role is ideal for a strong junior engineer who wants to work on practical AI systems, enterprise data, agents, retrieval, workflow automation, and context graphs. You will help connect to client systems, process messy real-world data, build prototypes, and turn business problems into working software.
 
 
 The work is hands-on and client-facing:
 
 
 <ul>
 <li>
 Understand operational workflows and convert them into technical artifacts
 </li>
 <li>
 Connect to real enterprise systems and data sources
 </li>
 <li>
 Build context-aware AI agents, retrieval systems, and automation prototypes
 </li>
 <li>
 Help move the best prototypes toward reliable production deployments
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Build context graphs.
 
 Help ingest, clean, structure, and connect data from enterprise systems into context graph. This may include structured databases, PDFs, spreadsheets, tickets, CRM data, analytics events, Slack or Teams exports, meeting transcripts, operational workflows, and other internal knowledge sources.
 
 
 
 Develop AI and agentic workflows.
 
 Build AI pipelines and agent-based systems that can reason over enterprise context, identify patterns, surface workflow gaps, and suggest or trigger automations. This may involve LLMs, retrieval systems, structured extraction, tool use, LangGraph-style workflows, and agent harnesses.
 
 
 
 Connect to enterprise systems
 
 . Integrate with client infrastructure such as databases, APIs, cloud storage, document repositories, analytics tools, ticketing systems, and internal applications.
 
 
 
 Prototype automation opportunities.
 
 Rapidly build proof-of-concepts that show how AI can improve a client's operations - for example, process documentation, workflow discovery, incident management, document extraction, customer journey analysis, or operational decision support.
 
 
 
 Turn messy business problems into software.
 
 Work with senior engineers and business stakeholders to translate ambiguous operational problems into technical designs, data models, prompts, pipelines, and deployed applications.
 
 
 
 Support production deployments.
 
 Help build reliable, maintainable systems that can run in production environments, including client cloud environments when needed.
 
 
 
 Ideal Candidate
 
 
 
 We are looking for a strong junior software engineer who is excited about applied AI and wants to build real systems, not just experiments.
 
 
 You do not need to be an expert in every area below, but you should be curious, technical, and comfortable learning quickly.
 
 
 
 Technical Background
 
 
 
 <ul>
 <li>
 Strong Python fundamentals
 </li>
 <li>
 Basic backend development experience
 </li>
 <li>
 Familiarity with APIs, databases, and cloud services
 </li>
 <li>
 Interest in LLMs, agents, retrieval, structured outputs, and tool-calling
 </li>
 <li>
 Familiarity with data pipelines and messy real-world datasets
 </li>
 <li>
 Experience with FastAPI, LangChain, LangGraph, vector databases, document processing, or knowledge graphs is a plus
 </li>
 <li>
 AWS experience is a plus
 </li>
 <li>
 Experience with enterprise data, analytics, or workflow automation is a strong plus
 
 
 </li>
 </ul>
 
 What Makes Someone Successful In This Role
 
 
 
 <ul>
 <li>
 You like figuring out how businesses actually operate
 </li>
 <li>
 You are comfortable working with incomplete, messy, or poorly documented data
 </li>
 <li>
 You can move quickly from vague requirements to a working prototype
 </li>
 <li>
 You care about building useful systems, not just impressive demos
 </li>
 <li>
 You communicate clearly with both engineers and non-technical stakeholders
 </li>
 <li>
 You are curious about how AI agents can interact with real tools, data, and workflows
 </li>
 <li>
 You want to learn how to deploy AI into real enterprise environments
 
 
 </li>
 </ul>
 
 Why This Role Is Interesting
 
 
 
 You will work on the frontier of practical enterprise AI: connecting AI agents to real company context and using that context to discover and automate high-value workflows.
 
 
 This is a hands-on engineering role for someone who wants to grow into building production-grade AI systems across data, agents, infrastructure, and enterprise software
</div>

Forward Deployed AI Engineer

Aspire, Jordan

<div>
 
 We are looking for
 
 AI Platform Engineers
 
 to build and maintain core LLM-powered services and APIs to power the next generation of online learning tools. On this team, you&rsquo;ll design and implement services and infrastructure that will allow our feature teams to rapidly develop and deploy LLM-powered features that improve the teaching and learning experience of tens of millions of people around the world while maintaining our high standards for performance, security, and reliability.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 Design and implement APIs and domain services that abstract the complexity of using an LLM and enable rapid feature development from our product teams;
 
 
 Build scalable AWS infrastructure for LLM interactions, including prompt management, context handling, auditing, and response processing;
 
 
 Create developer tooling and documentation that makes integration with your services intuitive and easy;
 
 
 Establish best practices for AI and LLM use at Instructure, considering things like auditability, cost, and performance;
 
 
 Collaborate with feature teams to understand their needs and solve them with platform capabilities;
 
 
 Design, develop, and maintain scalable and performant APIs;
 
 
 Write clean, maintainable, and well-documented code;
 
 
 Participate in code reviews and provide and receive constructive feedback
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 What You&rsquo;ll Need
 
 
 <ul>
 <li>
 Prior software engineering experience with API design and distributed system development;
 </li>
 <li>
 Strong experience building backend services and REST or GraphQL APIs;
 </li>
 <li>
 Knowledge of API design best practices around security, performance monitoring, rate limiting, and more;
 </li>
 <li>
 Understanding of LLM integration and usage patterns;
 </li>
 <li>
 Strong collaboration and written and verbal communication skills;
 </li>
 <li>
 Past experience with cloud infrastructure, preferably on AWS;
 </li>
 <li>
 Experience with Node.js or a desire to learn;
 </li>
 <li>
 Experience with TypeScript or a desire to learn;
 </li>
 <li>
 Background in developer tooling and API documentation is preferred.
 </li>
 </ul>
 
 
</div>

AI Platform Engineer

Valeo

<div>
 We are looking for a Software QA and Test Automation Engineer who possesses a passion for testing and ensuring highest quality in Valeo aftermarket applications."
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Develop/Contribute test strategy and test plans for projects
 </li>
 <li>
 Define automation strategy for regression, release, etc.
 </li>
 <li>
 Perform manual testing for complex features and scenarios that are not automated
 </li>
 <li>
 Designing, coding and documenting automated test cases to ensure the quality of our product
 </li>
 <li>
 Actively communicate bugs and quality issues to the team and writing bug reports
 </li>
 <li>
 Perform a qualitative analysis of our automated functional test to ensure that coverage is sufficient
 </li>
 <li>
 Defining the scope of testing within the context of every release and every software testing level or cycle
 </li>
 <li>
 Familiar with CI/CD practices and tools to facilitate the seamless integration and delivery of software changes with integrating automated tests into the CI/CD pipeline
 </li>
 <li>
 Applying the appropriate test measurement and metrics for the software product and testing team
 </li>
 <li>
 Specifying, designing, implementing and testing automation framework
 </li>
 <li>
 Analyzing existing systems to find areas for improvement
 </li>
 <li>
 Drive initiatives that improve service quality and resiliency
 </li>
 <li>
 Monitor product quality health metrics on a daily basis and work with teams to drive ongoing improvements in product quality
 </li>
 <li>
 Monitor the ongoing health of test automation, ensure that tests run reliably with good performance
 </li>
 <li>
 Implement/Contribute in sw quality process that ensures appropriate test cases are defined for all new features and that test suites are updated for all new features
 </li>
 <li>
 Collaborate with other members of the QA team, Developers, Scrum Masters and the Product Management team to analyze testing requirements, and identify and prioritize software quality tasks
 </li>
 <li>
 Strong interpersonal skills to effectively collaborate with cross-functional teams and clear communication is essential for conveying test results, progress, and any potential risks or issues.
 </li>
 <li>
 Analyze complex systems and identify potential risks, gaps, and areas for improvement with Strong problem-solving skills are necessary to troubleshoot issues and propose innovative solutions.
 </li>
 <li>
 Committed to staying updated with the latest testing trends, tools, and technologies.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 1 to 3 years of experience in software testing
 </li>
 <li>
 Strong understanding of various testing methodologies, techniques, tools, and best practices, including manual and automated testing.
 </li>
 <li>
 Experience in Software test automation; designing, developing, and maintaining automated test scripts using relevant tools and frameworks with good knowledge of programming, test automation frameworks, and version control systems.
 </li>
 <li>
 Expertise in Automation testing tools like Cypress, Selenium, Appium, Postman, etc..
 </li>
 <li>
 Good Automation scripting skills &ndash; preferably in JS
 </li>
 <li>
 Good experience in SQL queries
 </li>
 <li>
 Experience or good knowledge of Performance testing
 </li>
 <li>
 Experience in bug tracking tools like JIRA
 </li>
 <li>
 Fimilar with testing APIs and web services to validate data exchange, functionality, and performance.
 </li>
 <li>
 Good knowledge in API test automation
 </li>
 <li>
 Good knowledge in Agile Methodologies
 </li>
 <li>
 Experience in troubleshooting web applications, mobile apps and server-side applications
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science or a related field.
 </li>
 </ul>
</div>

Quality & Test Automation Engineer, Valeo Service

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