senior ai engineer

senior software engineer

machine learning engineer

senior devops engineer

service engineer

ai automation engineer

LeadInTop

<div>
 We are looking for a talented AI Engineer to design, build, and deploy intelligent systems powered by AI technologies. The ideal candidate will work on building AI-driven tools, automations, and applications by integrating AI APIs, and data pipelines.
 
 
 You will be responsible for developing scalable AI solutions that leverage technologies such as LLMs, AI agents, speech recognition, web scraping, and workflow automation.
 
 
 This role requires strong problem-solving skills and the ability to translate business requirements into practical AI systems and automation pipelines.
 
 
 Key Responsibilities
 
 
 Design and build AI-powered applications and tools using modern AI APIs and frameworks.
 
 
 Develop AI agents and automation workflows to streamline business processes.
 
 
 Integrate large language models (LLMs) such as OpenAI and Claude into production systems.
 
 
 Implement web scraping and data extraction pipelines to collect structured data from external sources.
 
 
 Build AI pipelines that process, analyze, and generate insights from large datasets.
 
 
 Develop speech-to-text and audio processing solutions using models like Whisper.
 
 
 Integrate AI services with internal platforms, dashboards, and business tools.
 
 
 Collaborate with product, engineering, and business teams to deliver scalable AI solutions.
 
 
 Continuously research and implement new AI technologies and frameworks.
 
 
 
 
 Requirements
 
 
 Strong experience with Python and JavaScript.
 
 
 Experience working with AI APIs and LLM platforms.
 
 
 Familiarity with AI agent frameworks and prompt engineering.
 
 
 Experience with web scraping tools and data extraction pipelines.
 
 
 Understanding of REST APIs and system integrations.
 
 
 Experience building automation workflows.
 
 
 Ability to design and deploy AI-powered systems in production environments.
 
 
 Tools &amp; Technologies (Preferred)
 
 
 Experience with some of the following tools is a plus:
 
 
 n8n
 
 
 Apify
 
 
 Claude Code
 
 
 Lovable
 
 
 OpenAI Api's
 
 
 Cursor
 
 
 Experience Requirements
 
 
 3+ years experience in software engineering or AI development
 
 
 Hands-on experience building AI-powered applications or automation systems
 
 
 Experience integrating AI models into real-world products
 
 
 What Success Looks Like in This Role
 
 
 Building reliable AI automation pipelines
 
 
 Delivering production-ready AI tools and applications
 
 
 Creating scalable systems that leverage AI to solve real business problems
 
 
 
</div>

AI & Automation Engineer

VOIS

<div>
 
 Who We Are
 
 
 
 VOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology &amp; Transformation.
 
 
 As the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next‑generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry‑first model which brings together the best of in‑house and 3rd party capability.
 
 
 We work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.
 
 
 #VOIS #BeUnrivalled #CreateTheFuture
 
 
 
 About This Role
 
 
 
 We are seeking an AI &amp; Automation Engineer to design, deliver, and govern AI‑driven and automation‑based frameworks that accelerate software delivery for Mobile Core Network Functions across multi‑cloud environments. The individual will define integration standards, ensure Responsible AI compliance, enhance platform reliability, and support global markets by enabling faster, scalable, and secure deployment cycles.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Define and maintain AI and automation reference architectures, integration standards, and technology choices across AWS, GCP, and Vodafone Private Cloud environments
 </li>
 <li>
 Build and operate CI/CD and GitOps pipelines using tools such as GitHub Actions, Jenkins, Argo CD / Flux CD, and Kubernetes‑based platforms
 </li>
 <li>
 Govern Responsible AI practices, ensuring data privacy, model transparency, and secure deployment of GenAI solutions, including PEFT and RAG‑based approaches
 </li>
 <li>
 Lead observability initiatives by defining KPIs, implementing dashboards, and enabling proactive monitoring using Prometheus, Grafana, and cloud‑native tools
 </li>
 <li>
 Collaborate with product and domain teams to prioritise automation and AI use cases, guide vendor integrations, and mentor engineers while fostering continuous improvement
 
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Skilled in CI/CD, GitOps, Kubernetes, and multi‑cloud delivery using infrastructure‑as‑code tools including Ansible, Terraform, and Helm
 </li>
 <li>
 Experienced in AI/ML engineering with strong proficiency in Python, transformers/LLMs, MLOps, vector databases, and production model deployment
 </li>
 <li>
 Knowledgeable in telecom domains and networking concepts, with practical exposure to mobile core technologies and security best practices
 </li>
 <li>
 Strong communicator with proven leadership capability, experienced in Agile/DevSecOps ways of working, stakeholder management, and continuous improvement
 </li>
 <li>
 Adept in designing highly observable, scalable, and resilient platforms using modern monitoring and analytics tooling
 
 
 
 </li>
 </ul>
 
 Not a perfect fit?
 
 
 
 Concerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.
 
 
 
 What's In It For You
 
 
 
 <ul>
 <li>
 Opportunities to work with cutting‑edge AI, ML, and automation technologies across multi‑cloud and telecom environments
 </li>
 <li>
 Exposure to global markets, stakeholders, and vendor ecosystems, enabling continuous professional growth
 </li>
 <li>
 Development pathways through certifications in cloud, Kubernetes, DevOps, and Responsible AI frameworks
 </li>
 <li>
 A collaborative environment focused on innovation, continuous improvement, and advanced engineering practices
 
 
 
 </li>
 </ul>
 
 What Skills You Will Learn
 
 
 
 <ul>
 <li>
 Advanced multi‑cloud architecture, GitOps, and platform engineering capabilities
 </li>
 <li>
 Practical implementation of Responsible AI, privacy frameworks, and secure ML deployment techniques
 </li>
 <li>
 Enhanced proficiency in automation at scale, observability engineering, and performance optimisation
 </li>
 <li>
 Broader understanding of telecom network functions, cross‑market delivery, and global customer impact
 
 
 
 </li>
 </ul>
 
 VOIS Equal Opportunity Employer Commitment
 
 
 
 Vodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio‑economic background.
 
 
 
 Join Us
 
 
 
 At Vodafone, we&rsquo;re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.
 
 
 We challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.
 
 
 With us, you can truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.
 
 
 
 Alert
 
 
 
 Apply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.
 
 
 #JDEnhancedByTARA
 
 
 
 Follow us on social media and #StayConnected
 
 
 
 <ul>
 <li>
 LinkedIn: https://www.linkedin.com/company/vois/
 </li>
 <li>
 Facebook: https://www.facebook.com/voisglobal
 </li>
 <li>
 Instagram: https://www.instagram.com/voisglobal/
 </li>
 <li>
 Chat with our employees: https://lnkd.in/dpkrcvR2
 </li>
 </ul>
</div>

Senior AI & Automation Engineer (VOIS)

Valeo

<div>
 ResponsibilitiesAI-Driven Requirement Extraction
 
 
 <ul>
 <li>
 Manage and Do the requirement extraction service for the System and Product Architects Network utilizing the company AI tools. This role demands delivering high-accuracy results with rapid turnaround times to support architectural decision-making.
 
 
 </li>
 </ul>
 
 AI &amp; Intelligent Automation
 
 
 
 <ul>
 <li>
 Leverage AI technologies (e.g., AI agents, NLP, automation assistants) to support:
 </li>
 <li>
 Requirement extraction and analysis
 </li>
 <li>
 Compliance and traceability support
 </li>
 <li>
 Engineering data processing and reporting
 </li>
 <li>
 Propose and implement AI-based solutions to improve productivity and reduce manual effort.
 </li>
 <li>
 Collaborate with system engineers to ensure AI solutions align with engineering standards and quality requirements.
 
 
 </li>
 </ul>
 
 Tooling &amp; Scripting Development
 
 
 
 <ul>
 <li>
 Design, develop, and maintain automation tools according to the defined roadmap.
 </li>
 <li>
 Document high-level requirements and technical specifications for developed tools.
 </li>
 <li>
 Develop scripts and applications to automate repetitive engineering activities (e.g., requirement handling, traceability, reports, metrics).
 </li>
 <li>
 Ensure maintainability by documenting tool architecture, design decisions, and usage guidelines.
 
 
 </li>
 </ul>
 
 Toolchain &amp; ALM Support
 
 
 
 <ul>
 <li>
 Define and support the required toolchain for System Engineering activities.
 </li>
 <li>
 Work with Requirement Management and ALM tools (e.g., Codebeamer, DOORS, Core ALM).
 </li>
 <li>
 Support integrations between tools and data sources when needed.
 
 
 </li>
 </ul>
 Key competencies
 
 Technical Skills
 
 
 
 
 Programming &amp; Scripting
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM: ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling:
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong communication and collaboration skills
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience0 to 2 years experience in tools development
</div>

AI & Tooling Engineer, LIGHT

Capgemini

<div>
 
 About Capgemini
 
 
 
 Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of &euro;22.1 billion.
 
 
 
 Job Description
 
 
 
 We are seeking a results-oriented Network Automation Engineer to champion the automation of our network infrastructure, driving improvements in agility, security, and operational efficiency. You will design, develop, and implement end-to-end automation solutions leveraging Infrastructure as Code (IaC), orchestration platforms, and robust testing methodologies. The ideal candidate combines deep networking expertise, advanced programming skills, and a strong understanding of DevOps principles, with a passion for transforming network operations through automation. This role is pivotal in enabling a self-service, programmable network environment.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain modular, reusable, and scalable network automation solutions using Python, Go, or similar languages, following software development best practices (e.g., SOLID principles, TDD).
 </li>
 <li>
 Implement Infrastructure as Code (IaC) using tools like Ansible, Terraform, or CloudFormation to automate network provisioning, configuration, and management across physical, virtual, and cloud environments.
 </li>
 <li>
 Integrate automation workflows with network security, monitoring, and observability platforms (e.g., Cisco DNA Center, NetBrain, Splunk, ELK stack) to enable closed-loop automation and proactive issue resolution.
 </li>
 <li>
 Automate deployment, configuration, and lifecycle management of network devices (switches, routers, firewalls, load balancers, wireless controllers) from multiple vendors, ensuring consistency and compliance.
 </li>
 <li>
 Collaborate with network architects, security engineers, and operations teams to define and enforce network standards, policies, and security baselines through automation.
 </li>
 <li>
 Develop and maintain CI/CD pipelines for network automation code, incorporating automated testing (unit, integration, end-to-end) and validation to ensure code quality and prevent regressions.
 </li>
 <li>
 Implement network telemetry and analytics solutions to collect performance data, identify anomalies, and optimize resources.
 </li>
 <li>
 Create and maintain comprehensive documentation of automation workflows, scripts, APIs, and infrastructure configurations.
 </li>
 <li>
 Monitor and troubleshoot automated tasks and workflows, implementing robust error handling and alerting mechanisms.
 </li>
 <li>
 Participate in network lifecycle management, capacity planning, and scalability exercises, leveraging automation to streamline processes.
 </li>
 <li>
 Contribute to the development of a self-service network automation portal, empowering users to provision and manage network resources on demand.
 </li>
 <li>
 Ensure automation processes align with security policies and compliance requirements, including automated security configurations and vulnerability management.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or related field.
 </li>
 <li>
 5+ years of experience in network engineering, with at least 3 years in network automation.
 </li>
 <li>
 Outstanding English communication, both verbal and non-verbal.
 </li>
 <li>
 Expert proficiency in Python, Go, or similar languages, with strong understanding of software development principles.
 </li>
 <li>
 Extensive hands-on experience with IaC tools (Ansible, Terraform, CloudFormation).
 </li>
 <li>
 Deep understanding of network protocols and platforms (TCP/IP, BGP, OSPF, VLANs, SDN, Cisco, Juniper, Arista, cloud networking).
 </li>
 <li>
 Proven experience with REST APIs, data serialization formats (JSON, YAML), and API testing tools (Postman, cURL).
 </li>
 <li>
 Solid understanding of Git, CI/CD practices, and Agile/DevOps methodologies.
 </li>
 <li>
 Experience in Linux/Unix environments and containerization technologies (Docker, Kubernetes).
 </li>
 <li>
 Familiarity with network monitoring and observability tools (Splunk, ELK stack, Prometheus, Grafana).
 </li>
 <li>
 Relevant certifications preferred (e.g., Cisco Certified DevNet Professional, AWS Certified DevOps Engineer, Azure DevOps Engineer Expert).
 </li>
 <li>
 Strong communication, collaboration, and problem-solving skills.
 </li>
 </ul>
</div>

Network Automation Engineer

Arrow Electronics

<div>
 
 Position
 
 
 
 Senior Java Software Engineer
 
 
 
 Job Description
 
 
 
 
 Senior Java Software Engineer
 
 
 
 
 Job Summary
 
 
 
 We are looking for a Senior Java Software Engineer to build, enhance, and maintain scalable backend systems. You will work across the software development lifecycle, contribute to solution design, and deliver reliable, high-quality software that directly impacts business outcomes.
 
 
 This role focuses on strong Java engineering fundamentals, with exposure to modern cloud, DevOps, data, and AI-enabled integrations.
 
 
 
 Core Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and maintain Java-based backend services across multiple releases.
 </li>
 <li>
 Implement new features, handle change requests, and resolve production defects.
 </li>
 <li>
 Estimate tasks accurately and deliver within agreed timelines.
 </li>
 <li>
 Write clean, maintainable, and well-documented code following clean code principles.
 </li>
 <li>
 Debug and troubleshoot complex issues to identify root causes efficiently.
 </li>
 <li>
 Write unit tests using JUnit and follow test-driven development (TDD) practices.
 </li>
 <li>
 Participate in solution and technical design discussions, applying appropriate design patterns.
 </li>
 <li>
 Develop and maintain RESTful APIs.
 </li>
 <li>
 Collaborate closely with team members and cross-functional teams (QA, DevOps).
 </li>
 <li>
 Contribute to CI/CD pipelines and deployment processes using existing DevOps tooling.
 </li>
 <li>
 Continuously learn and adopt new technologies relevant to backend engineering.
 
 
 </li>
 </ul>
 
 DevOps &amp; Deployment (Expected Exposure, Not Ownership)
 
 
 
 <ul>
 <li>
 Work with Docker-based deployments across different environments.
 </li>
 <li>
 Integrate applications into existing CI/CD pipelines (Jenkins, Kubernetes).
 </li>
 <li>
 Support smooth releases and environment stability in collaboration with DevOps teams.
 
 
 </li>
 </ul>
 
 Security &amp; Quality
 
 
 
 <ul>
 <li>
 Apply secure coding practices and follow OWASP Top 10 guidelines.
 </li>
 <li>
 Implement authentication and authorization using JWT / OAuth2.
 </li>
 <li>
 Ensure high code quality through reviews, testing, and automation.
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 
 Experience &amp; Education
 
 
 
 <ul>
 <li>
 5+ years of professional experience in Java software development.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science or equivalent practical experience.
 
 
 </li>
 </ul>
 
 Core Technical Skills (Must-Have)
 
 
 
 <ul>
 <li>
 Java: Java 17 or Java 21
 </li>
 <li>
 Spring Ecosystem: Spring, Spring Boot, Spring Data, Spring Security, Spring Cloud
 </li>
 <li>
 Architecture: OOP principles, design patterns, clean code
 </li>
 <li>
 Databases: Oracle or MySQL, database design, ERD
 </li>
 <li>
 ORM: JPA / Hibernate
 </li>
 <li>
 Testing: JUnit and unit testing practices
 </li>
 <li>
 APIs: RESTful web services
 </li>
 <li>
 Messaging: Apache Kafka
 </li>
 <li>
 Build &amp; Version Control: Maven, Git
 </li>
 <li>
 Developer Productivity Tools: Windsurf
 </li>
 <li>
 Experience integrating Generative AI or LLM APIs into backend systems.
 </li>
 <li>
 Interest in applying AI to improve automation, data processing, or developer productivity is highly valued.
 
 
 </li>
 </ul>
 
 Nice-to-Have
 
 
 
 
 
 (Experience in these areas is a plus, not a requirement)
 
 
 
 
 <ul>
 <li>
 Search &amp; Indexing: Elasticsearch
 </li>
 <li>
 Monitoring &amp; Observability: Prometheus, Grafana
 </li>
 <li>
 Big Data: Apache Spark.
 </li>
 <li>
 Cloud Platforms: AWS
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Opportunity to work on impactful systems with real business value.
 </li>
 <li>
 Exposure to modern backend architecture, cloud-native tools, and AI-enabled solutions.
 </li>
 <li>
 Collaborative engineering culture with strong technical ownership.
 </li>
 <li>
 Continuous learning and professional growth.
 
 
 </li>
 </ul>
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Senior Java Software Engineer

BayanTech

<div><div>We are seeking a Senior AI Engineer to lead the design, development, and optimization of advanced AI systems. The ideal candidate has proven experience in LLM fine-tuning, custom model training, and RAG (Retrieval-Augmented Generation), with a strong foundation in machine learning, NLP, and multimodal AI (speech, text, and vision). 
 
You will work closely with our R&amp;D team to deliver production-grade AI solutions across projects such as voice AI agents, translation automation, localization platforms, and real-time inference systems. The role also involves mentoring junior engineers and collaborating with backend and DevOps teams to ensure performance, scalability, and deployment reliability. 
 
Job Description : 
 
<ul><li>Design, develop, and deploy AI agents capable of performing autonomous tasks.</li></ul></div><ul><li>Build and fine-tune solutions using LLMs (e.g., OpenAI, Gemini, Claude, Mistral, LLaMA).</li><li>Proficient in Retrieval-Augmented Generation (RAG) systems and experienced with vector databases, leveraging these technologies to enhance AI model performance and scalability</li><li>Implement communication between agents using agent orchestration frameworks.</li><li>Automate workflows for sales, project management, accounting, and localization.</li><li>Collaborate with backend and frontend teams to integrate AI services.</li><li>Conduct prompt engineering and evaluation of model outputs.</li><li>Ensure the scalability and performance of AI systems in production environments.</li></ul> 

Requirements: 
 
7+ years of experience in AI, NLP, or ML system development. 
Proven expertise in LLM training and fine-tuning (GPT, LLaMA, Mistral, Falcon, etc.). 
Hands-on experience with RAG pipelines and vector databases (FAISS, Pinecone, Qdrant, Weaviate). 
Strong Python skills and proficiency in PyTorch or TensorFlow. 
Experience building and deploying custom AI models for text or speech. 
Knowledge of transformer architectures, tokenization, and quantization. 
Practical use of OpenAI API, Hugging Face, and LangChain. 
Experience integrating models via FastAPI, Flask, or NestJS microservices. 
Familiarity with MLOps, Docker, CI/CD, and cloud environments (AWS/GCP/Azure). 
Strong foundation in deep learning, statistics, and data preprocessing. 
Excellent communication and leadership skills to guide junior AI engineers. 
 
Nice to Have: 
Experience with speech models (Deepgram, Whisper, Piper). 
Familiarity with Twilio, Asterisk, or WebSocket-based AI streaming. 
Knowledge of localization automation and translation quality scoring. 
Understanding of LangGraph, CrewAI, or multi-agent frameworks. 
Exposure to multi-GPU training and on-premise optimization.</div>

Senior AI Engineer

Unifonic

<div>
 
 
 Job Description
 
 
 
 
 Proudly voted a Great Place to Work&reg;, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.
 
 
 We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we&rsquo;re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!
 
 
 
 Meet the team!
 
 
 
 Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic&rsquo;s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.
 
 
 As a Senior SDET, you will design and implement test strategies, automation frameworks, and CI/CD integrations that ensure our systems meet the highest standards of quality and performance. You&rsquo;ll collaborate closely with developers, product owners, and DevOps engineers to build robust automation pipelines for UI, API, and backend testing, and contribute to load and performance testing initiatives.
 
 
 This role is ideal for a hands-on automation engineer with strong Python or TypeScript/JavaScript skills, a passion for quality engineering, and an interest in learning about testing AI-driven systems.
 
 
 
 
 Help Us Shape The Future Of Communications By:
 
 
 
 
 <ul>
 <li>
 Designing, building, and maintaining automated test frameworks for UI, API, and backend testing using Playwright, Cypress, or Selenium.
 </li>
 <li>
 Developing and executing integration and end-to-end test suites to ensure high-quality releases.
 </li>
 <li>
 Implementing performance and load testing using k6 or similar tools.
 </li>
 <li>
 Integrating automated testing into CI/CD pipelines (Git, Drone CI, Argo CD, Kubernetes).
 </li>
 <li>
 Driving test coverage, defect reporting, and quality metrics across multiple delivery teams.
 </li>
 <li>
 Collaborating with engineers to embed testing early in the SDLC and ensure reliable, scalable automation.
 </li>
 <li>
 Advocating for QA best practices, code quality, and automation-first principles.
 </li>
 <li>
 Leading continuous improvement initiatives evaluating new tools, frameworks, and techniques to enhance efficiency and maintainability.
 
 
 </li>
 </ul>
 
 
 Job Requirements
 
 
 
 
 
 What you'll bring:
 
 
 
 <ul>
 <li>
 7+ years of experience in software testing or automation engineering.
 </li>
 <li>
 Strong programming skills in Python or TypeScript/JavaScript.
 </li>
 <li>
 Hands-on experience with at least one of the following: Playwright, Cypress, or Selenium (required).
 </li>
 <li>
 Experience with API testing (REST/GraphQL) and backend validation.
 </li>
 <li>
 Experience with k6 or other load testing tools for performance validation.
 </li>
 <li>
 Familiarity with CI/CD environments, containerized systems, and Kubernetes.
 </li>
 <li>
 Excellent understanding of test design, debugging, and automation in distributed systems.
 </li>
 <li>
 Experience working in Agile (Scrum) teams.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.
 </li>
 <li>
 Exposure to AI/ML systems and model testing principles is preferable.
 </li>
 <li>
 Understanding of data validation frameworks (e.g., Great Expectations, Pandas is preferable.
 </li>
 <li>
 Awareness of MLOps, Data Drift, or Model Drift detection is preferable.
 </li>
 <li>
 Experience with Generative AI or AI Agent testing workflows is preferable.
 
 
 </li>
 </ul>
 
 As a Unifone you will receive a range of benefits:
 
 
 
 <ul>
 <li>
 Competitive salary and bonus.
 </li>
 <li>
 Unifonic share scheme (we are all owners!).
 </li>
 <li>
 30 holiday days after your first anniversary.
 </li>
 <li>
 Flexible working arrangements.
 </li>
 <li>
 Spend up to 25 days per year working from anywhere in the world!
 </li>
 <li>
 Paid leave for new parents.
 
 
 </li>
 </ul>
 Proudly voted a Great Place to Work&reg;, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.
 
 
 We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we&rsquo;re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!
 
 
 
 Meet the team!
 
 
 
 Our Engineering team is responsible for designing, developing, and maintaining the systems and technologies that drive Unifonic&rsquo;s solutions. We work closely with other departments to ensure our products and services meet the needs of our customers. If you are passionate about technology and are excited about working on cutting-edge communication and engagement solutions, we want you on our team.
 
 
 As a Senior SDET, you will design and implement test strategies, automation frameworks, and CI/CD integrations that ensure our systems meet the highest standards of quality and performance. You&rsquo;ll collaborate closely with developers, product owners, and DevOps engineers to build robust automation pipelines for UI, API, and backend testing, and contribute to load and performance testing initiatives.
 
 
 This role is ideal for a hands-on automation engineer with strong Python or TypeScript/JavaScript skills, a passion for quality engineering, and an interest in learning about testing AI-driven systems.
 
 
 
 
 Help Us Shape The Future Of Communications By:
 
 
 
 
 <ul>
 <li>
 Designing, building, and maintaining automated test frameworks for UI, API, and backend testing using Playwright, Cypress, or Selenium.
 </li>
 <li>
 Developing and executing integration and end-to-end test suites to ensure high-quality releases.
 </li>
 <li>
 Implementing performance and load testing using k6 or similar tools.
 </li>
 <li>
 Integrating automated testing into CI/CD pipelines (Git, Drone CI, Argo CD, Kubernetes).
 </li>
 <li>
 Driving test coverage, defect reporting, and quality metrics across multiple delivery teams.
 </li>
 <li>
 Collaborating with engineers to embed testing early in the SDLC and ensure reliable, scalable automation.
 </li>
 <li>
 Advocating for QA best practices, code quality, and automation-first principles.
 </li>
 <li>
 Leading continuous improvement initiatives evaluating new tools, frameworks, and techniques to enhance efficiency and maintainability.
 
 
 </li>
 </ul>
 
 
 What You'll Bring:
 
 
 
 
 <ul>
 <li>
 7+ years of experience in software testing or automation engineering.
 </li>
 <li>
 Strong programming skills in Python or TypeScript/JavaScript.
 </li>
 <li>
 Hands-on experience with at least one of the following: Playwright, Cypress, or Selenium (required).
 </li>
 <li>
 Experience with API testing (REST/GraphQL) and backend validation.
 </li>
 <li>
 Experience with k6 or other load testing tools for performance validation.
 </li>
 <li>
 Familiarity with CI/CD environments, containerized systems, and Kubernetes.
 </li>
 <li>
 Excellent understanding of test design, debugging, and automation in distributed systems.
 </li>
 <li>
 Experience working in Agile (Scrum) teams.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.
 </li>
 <li>
 Exposure to AI/ML systems and model testing principles is preferable.
 </li>
 <li>
 Understanding of data validation frameworks (e.g., Great Expectations, Pandas is preferable.
 </li>
 <li>
 Awareness of MLOps, Data Drift, or Model Drift detection is preferable.
 </li>
 <li>
 Experience with Generative AI or AI Agent testing workflows is preferable.
 
 
 </li>
 </ul>
 
 As a Unifone you will receive a range of benefits:
 
 
 
 <ul>
 <li>
 Competitive salary and bonus.
 </li>
 <li>
 Unifonic share scheme (we are all owners!).
 </li>
 <li>
 30 holiday days after your first anniversary.
 </li>
 <li>
 Flexible working arrangements.
 </li>
 <li>
 Spend up to 25 days per year working from anywhere in the world!
 </li>
 <li>
 Paid leave for new parents.
 </li>
 </ul>
</div>

Senior Software Development Engineer in Test

Explore 857+ Ai automation engineer in Egypt this March. Find roles across top companies and apply now to boost your career.