accountant – accounts receivable (junior)

data engineer

ai engineer, light

ai platform engineer

aws devops senior

devops engineer

ai developer

Infomineo

<div>
 
 Description
 
 
 
 About us:
 
 
 
 Infomineo is a fast-growing business insights provider, bringing Brainshoring to global clients across a range of services: Business research, Content Services, Graphic Design, and Data Analytics. Our clients include leading Consultancies, Fortune 500 companies, Governments, and NGOs. Infomineo counts 350+ employees spread across 5 offices covering EMEA and the Americas (Casablanca, Cairo, Dubai, Barcelona and Mexico City).
 
 
 
 About this role:
 
 
 
 We are actively seeking a highly skilled and experienced individual to join us as a Senior Research &amp; Development Engineer. This role requires expertise in DevOps, Cloud Computing, AI projects, API integration, and preferably data engineering. The ideal candidate will play a pivotal role in defining and developing initiatives that leverage AI and automation technologies to enhance our products and services.
 
 
 
 
 
 Key Responsibilities:
 
 <ul>
 <li>
 Technical Development and Automation:
 </li>
 <li>
 Lead the development and implementation of AI-driven solutions, focusing on automation and efficiency.
 </li>
 <li>
 Utilize DevOps principles to streamline development processes and ensure seamless deployment of AI applications.
 </li>
 <li>
 Collaborate with cross-functional teams to integrate AI capabilities into existing systems.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Cloud Architecture and Integration:
 </li>
 <li>
 Design and implement scalable cloud architectures to support AI initiatives.
 </li>
 <li>
 Integrate AI solutions with cloud platforms, ensuring optimal performance and scalability.
 </li>
 <li>
 Implement best practices for cloud security and compliance.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 API Integration and Data Engineering:
 </li>
 <li>
 Develop and maintain API integrations to enhance data flow between different systems.
 </li>
 <li>
 Leverage data engineering techniques to process and analyze large datasets for AI model training.
 </li>
 <li>
 Ensure data quality and integrity throughout the integration process.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 AI Project Management:
 </li>
 <li>
 Utilize agile methodologies to manage the lifecycle of AI development projects.
 </li>
 <li>
 Collaborate with stakeholders to define project requirements and deliverables.
 </li>
 <li>
 Track and report on project progress, addressing any challenges or bottlenecks.
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 Continuous Improvement and Innovation:
 </li>
 <li>
 Stay updated on the latest advancements in AI, automation, and related technologies.
 </li>
 <li>
 Propose and implement improvements to existing systems and processes.
 </li>
 <li>
 Foster a culture of innovation within the team, encouraging creative problem-solving.
 </li>
 </ul>
 
 
 
 
 Qualifications:
 
 <ul>
 <li>
 3 to 5 years Proven experience in DevOps, Cloud Computing, AI projects and API integration.
 </li>
 <li>
 In-depth knowledge of cloud platforms (e.g., AWS, Azure, GCP).
 </li>
 <li>
 Experience with containerization technologies (e.g., Docker, Kubernetes).
 </li>
 <li>
 Solid understanding of data engineering principles and practices.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or a related field.
 </li>
 </ul>
 
 
 
 
 Preferred Skills:
 
 <ul>
 <li>
 Certifications in relevant technologies (e.g., AWS Certified DevOps Engineer, TensorFlow Developer).
 </li>
 <li>
 Previous experience in data engineering
 </li>
 <li>
 Strong proficiency in relevant programming languages (e.g., Python, Java).
 </li>
 <li>
 Previous experience in developing and deploying AI models in a production environment.
 </li>
 <li>
 Familiarity with machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in building and maintaining data pipelines.
 </li>
 </ul>
 
 What We Offer:
 
 <ul>
 <li>
 Competitive salary and benefits.
 </li>
 <li>
 Opportunity to shape and drive AI and automation initiatives.
 </li>
 <li>
 A collaborative and forward-thinking work environment.
 </li>
 <li>
 Professional development and career growth opportunities.
 </li>
 </ul>
 
 
 
 
 Application Process:
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in DevOps, Cloud Computing, AI projects, API integration, and data engineering. Shortlisted candidates may undergo a technical assessment or interview process to demonstrate their skills.
 
 
 
 
 
 
 What is it like to work at Infomineo?
 
 
 
 If you've spoken with someone who works at Infomineo, you've probably heard that our people are our most valuable asset. Our diversity, both in terms of professional experience and culture, is the company&rsquo;s greatest strength. By being a part of Infomineo, you'll have the opportunity to work alongside a friendly, smart, and international team of researchers that value intellectual vitality and creativity. You will learn the best practices, tools to use when conducting primary and secondary research. You will grow your career, expertise across different regions and industries. As a member of the team, you'll be encouraged to contribute by applying your ideas while playing an instrumental role in the company&rsquo;s development and growth. Within this role, you'll support leading international institutions &amp; companies with the data and information required to fuel key business decisions.
 
</div>

Tech Innovation - Sr. R&D Software Engineer- Cairo

Coca-Cola HBC

<div>
 
 
 Location:
 
 New Cairo, Egypt
 
 
 
 Department:
 
 Data Science &amp; AI
 
 
 
 Role reports to:
 
 Data Science &amp; AI Manager
 
 
 
 Contract Type:
 
 Permanent
 
 
 
 Work Model:
 
 Hybrid (4 days from office)
 
 
 
 
 
 
 
 
 We are seeking a seasoned and self-organizing Senior Data Scientist to join our Data Science in Digital Commerce team. This role is ideal for someone who combines deep technical expertise with strategic thinking and a strong sense of initiative.
 
 
 You will be expected to proactively drive progress, anticipate project needs, and ensure that analytical work is not only technically sound but also aligned with business priorities and customer impact. The role requires someone who naturally engages across teams and stakeholders, contributing to a collaborative and outcome-oriented environment.
 
 
 
 
 
 
 IN THIS EXCITING ROLE YOU WILL:
 
 
 
 
 
 
 &bull; Lead the development and deployment of advanced analytics and traditional machine learning solutions, working hands-on, as proof-of-concept and in production environments.
 
 
 &bull; Lead a team of Data Scientist and AI developer, while collaborating with internal engineering team
 
 
 &bull; Manage sub-project workflows independently, identifying next steps and ensuring timely execution at feature level.
 
 
 &bull; Collaborate with cross-functional teams to translate complex analytical findings into clear, actionable recommendations for both technical and non-technical audiences.
 
 
 &bull; Stay current with emerging technologies, with a particular focus on Generative AI and its practical applications.
 
 
 &bull; Deliver scalable, maintainable solutions that support customer and business needs.
 
 
 &bull; Have opportunities for professional training and certifications as well as mentorship.
 
 
 
 
 
 
 YOU CAN BE SUCCESFULL IN THIS ROLE IF YOU HAVE:
 
 
 
 
 
 
 &bull; MSc or PhD in Data Science, Engineering or a related field.
 
 
 &bull; A mindset geared toward ownership, communication, initiative, and continuous improvement.
 
 
 &bull; Minimum 5 years of experience in data science roles, with a strong track record of delivering commercial analytics solutions (propensity modeling, forecasting, optimization) both as proof-of-concept and in production.
 
 
 &bull; People management experience of at least one year.
 
 
 &bull; Proficiency in Python/Pyspark, SQL and ML libraries, and ideally certification(s) in Databricks or Azure, as well as experience with PowerBI. Other cloud services are also acceptable.
 
 
 &bull; Concrete experience in SAFe-agile as way of working, as well as DevOps/MLOps in development.
 
 
 &bull; Strong, self-driven exposure in GenAI. Familiarity with Microsoft Copilot Studio and Foundry will be appreciated.
 
 
 &bull; Interest in gaining domain specific knowledge concerning the business model of Coca Cola Hellenic.
 
 
 &bull; Great communication skills and the ability to engage with both technical and business stakeholders.
 
 
 &bull; Functional experience in the Digital area (such as Marketplaces, B2C apps, e-Retailers) is a plus.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens - for us and for you - when we OPEN UP.
 
 
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

Senior Data Scientist

TechLabs London

<div>
 
 About TechLabs London:
 
 
 
 At TechLabs London, we build cutting-edge digital products that power smarter, more connected organizations. Our flagship solution is transforming housing management with modern cloud technology, intuitive design, and seamless integration. We are now embedding
 
 AI and intelligent automation
 
 across our platforms &mdash; and this role is at the center of that mission. We&rsquo;re looking for a driven and creative
 
 AI Engineer
 
 to lead this charge with us, to deliver production-ready AI features, predictive analytics, and computer vision tools that unlock real business value.
 
 
 
 Job Purpose:
 
 As an AI Engineer you&rsquo;ll be responsible for the development, deployment, and optimisation of advanced AI and ML capabilities within TechLabs London. You will collaborate with cross-functional teams to embed intelligent solutions into our existing product suite and shape the next generation of AI-powered features across our platforms. This role is perfect for someone who&rsquo;s passionate about building practical AI solutions and wants to see their work improve lives, save time, and power decisions. You&rsquo;ll help the business translate complex challenges into intelligent, scalable solutions.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design and build end-to-end AI pipelines across use cases such as predictive modelling, NLP, computer vision, and conversational AI.
 </li>
 <li>
 Design, develop and deploy conversational AI solutions using LLMs and agentic frameworks (e.g. LangChain, LangGraph), including RAG pipelines, intent classification, entity extraction, and multi-turn dialogue management.
 </li>
 <li>
 Apply computer vision to extract intelligence from images and videos for detection, classification, and automation.
 </li>
 <li>
 Develop time-series models that analyze behavior and generate predictive.
 </li>
 <li>
 Experiment with foundational models and fine-tune them for specific tasks relevant to our domain.
 </li>
 <li>
 Integrate models into production by working with our developers to deploy solutions into our products and beyond.
 </li>
 <li>
 Architect and build scalable, secure, and reusable ML APIs, workflows, and pipelines using modern MLOps practices and containerisation (Docker).
 </li>
 <li>
 Translate business problems into data-driven solutions, working closely with product, customer success, and engineering teams.
 </li>
 <li>
 Champion AI-first thinking across the company, supporting POCs, internal tooling, and customer-facing features.
 </li>
 <li>
 Collaborate with internal developers, product managers, domain experts, and external stakeholders to ensure solutions are feasible, maintainable, and impactful, as well as to define data strategies and model objectives.
 </li>
 <li>
 Conduct rigorous A/B testing and model evaluation.
 </li>
 <li>
 Support the integration of models into production systems using APIs and microservices.
 </li>
 <li>
 Stay abreast of advancements in AI/ML research and apply relevant breakthroughs to ongoing projects.
 
 
 
 </li>
 </ul>
 
 Skills and Experience:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, Software Engineering, Computer Science, or related field.
 </li>
 <li>
 Proven experience building and deploying LLM-powered applications, including RAG pipelines and conversational agents.
 </li>
 <li>
 Hands-on experience with LangChain or similar agentic frameworks (LangGraph, AutoGen, or equivalent).
 </li>
 <li>
 Strong proficiency in Python and relevant ML libraries (e.g. pandas, scikit-learn, PyTorch, spaCy, Hugging Face, OpenCV etc.)
 </li>
 <li>
 Experience with cloud platforms &mdash; Azure is our primary platform (preferred); AWS or GCP also considered.
 </li>
 <li>
 Containerization and orchestration: Docker, Docker Compose.
 </li>
 <li>
 Solid understanding of data modelling, feature engineering, and data warehousing concepts.
 </li>
 <li>
 Strong knowledge of SQL and experience with relational and/or vector databases (e.g. pgvector, Pinecone, Weaviate).
 </li>
 <li>
 Proficiency in version control, CI/CD, and model deployment practices.
 </li>
 <li>
 Experience integrating AI models into web or mobile applications is highly valued.
 </li>
 <li>
 Experience with MLOps tools like MLflow, Airflow, DVC.
 </li>
 <li>
 Familiarity with MCP Server (Model Context Protocol) for building tool-augmented AI agents is a plus.
 
 
 
 </li>
 </ul>
 
 Mindset &amp; Soft Skills:
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical thinking &mdash; able to translate messy real-world data into measurable solutions.
 </li>
 <li>
 Pragmatic and delivery-oriented &mdash; capable of balancing technical innovation with business impact.
 </li>
 <li>
 Communicative and collaborative &mdash; comfortable working across teams and disciplines.
 </li>
 <li>
 Self-driven &mdash; able to manage time, priorities, and project ownership in a fast-moving team.
 </li>
 <li>
 Knowledge of data governance, bias mitigation, and explainable AI techniques.
 </li>
 </ul>
</div>

AI& Data Engineer (Hybrid)

Valeo

<div>
 
 Our mission is to revolutionize existing and new Valeo products, tools and processes by harnessing the power of cutting-edge generative AI. We aim to drive unprecedented efficiency across Valeo product portfolio, reducing development costs and achieving a new level of intelligent automation.
 
 
 
 
 Through relentless research, we design and build a robust and adaptable AI framework that seamlessly integrates into our current workflow.
 
 
 
 
 We are committed to fostering a collaborative environment where researchers, engineers, and product teams work in unison to explore innovative solutions. We believe that by strategically integrating AI, we can optimize internal processes, streamline workflows, and drive long-term success within Valeo's existing and new product landscape.
 
 
 
 
 Responsibilities
 
 
 
 
 This position is the cornerstone of the AI4ALL team, he is responsible for developing applications, testing and maintaining them.
 
 
 
 <ul>
 <li>
 Develop &amp; re-use the core AI components of the framework.
 </li>
 <li>
 Implement APIs, models, optimize for performance, and integrate with adjacent systems.
 </li>
 <li>
 Conduct various testing (Unit Test, API Testing, Load Testing, &hellip;) for the developed components.
 </li>
 <li>
 Document all the developed components.
 </li>
 <li>
 Deploy developed products and maintain them.
 </li>
 <li>
 Build user-facing product features using the framework's capabilities
 </li>
 <li>
 Create responsive UI components, ensure smooth interactions with AI models
 </li>
 <li>
 Manage client-side data handling
 </li>
 <li>
 Conduct various frontend testing
 
 
 </li>
 </ul>
 
 
 Education/Training
 
 
 
 
 <ul>
 <li>
 B.Sc. in Communication, Mechatronics, Electronics or Computer Engineering.
 </li>
 <li>
 B.Sc. in Computer science
 
 
 </li>
 </ul>
 
 
 Professional Competences
 
 
 
 
 
 Deep learning (TensorFlow, PyTorch)
 
 
 2
 
 
 
 
 Collaborative mindset
 
 
 3
 
 
 
 
 Knowledge of GenAI Framework (LangChain, LlamaIndex)
 
 
 3
 
 
 
 
 Focus on code quality
 
 
 3
 
 
 
 
 Strong knowledge of OOP &amp; Functional Programming
 
 
 3
 
 
 
 
 Self-organized
 
 
 3
 
 
 
 
 Python, REST API development
 
 
 3
 
 
 
 
 Experience with Python based web framework (Flask, FastAPI, Django)
 
 
 3
 
 
 
 
 JavaScript/TypeScript, HTML, CSS
 
 
 3
 
 
 
 
 Frontend Frameworks at least one (React, Vue, Angular)
 
 
 2
 
 
 
 
 Experience with Python based test framework (PyTest, PyUnit)
 
 
 2
 
 
 
 
 Knowledge of Cloud Services (GCP, AWS)
 
 
 2
 
 
 
 
 
 Professional
 
 
 Experience
 
 
 
 
 <ul>
 <li>
 3+ Years of experience.
 </li>
 <li>
 Knowledge of AI/ML and GenAI.
 </li>
 <li>
 Knowledge of at least one Web framework (FastAPI, Django, Flask, &hellip;).
 </li>
 <li>
 Knowledge of (HTML, CSS, JS)
 </li>
 <li>
 Knowledge of React frontend framework is a plus.
 </li>
 <li>
 Knowledge and development for cloud platforms (GCP, AWS) is a plus.
 
 
 </li>
 </ul>
 
 
 Other Specifications
 
 
 
 
 
 We prefer a great/interested/excited team player with less experience to an unmotivated or unengaged one with tons of experience.
 
</div>

Senior Full Stack Developer, AI4ALL

<div>
 
 
 
 Company Overview
 
 :
 
 
 
 
 
 
 Dar, the founding member of the Sidara group, is an international multidisciplinary consulting organization specializing in engineering, architecture, planning, environment, project management, facilities management, and economics. Sidara operates in 60 countries with 20,500 professionals, Dar connects people, places, and communities through innovative solutions to the world's most complex challenges. We deliver projects from inception through completion, embracing challenges to empower communities worldwide. Learn more at www.dar.com.
 
 
 
 
 
 
 
 Our Vision and Values:
 
 
 
 
 
 
 
 We aspire to be the chosen home of those with a gift for crafting solutions that empower people and an unwavering passion for learning and innovation. Our core values shape our culture and guide our decision-making. We are committed to:
 
 
 
 
 <ul>
 <li>
 Excellence
 </li>
 <li>
 Responsibility
 </li>
 <li>
 Empowerment
 </li>
 <li>
 Connectivity
 </li>
 <li>
 Courage
 </li>
 </ul>
 
 
 
 
 
 
 Responsibilities
 
 :
 
 
 <ul>
 <li>
 Assist in the development of web and mobile applications using DAR&rsquo;s enterprise stack (React, TypeScript, Python, NodeJS, .NET Core, SQL, MongoDB).
 </li>
 <li>
 Deliver high-quality, well-structured, and secure code while adhering to best practices and the Definition of Done (DoD).
 </li>
 <li>
 Ability to discuss and demonstrate the value of Generative AI and Machine Learning (ML) use cases for enterprises.
 </li>
 <li>
 Strong holistic background in AI Dev agents&rsquo; theory and practice.
 </li>
 <li>
 Follow SDLC best practices, including code versioning, documentation, testing, and code reviews.
 </li>
 <li>
 Actively adopt the DevSecOps framework and methodologies within daily development practices.
 </li>
 <li>
 Develop and deploy containerized applications using Docker, ensuring consistency across development, testing, and production environments.
 </li>
 <li>
 Work on assigned coding tasks and bug fixes under the supervision of senior developers and the Lead.
 </li>
 <li>
 Support integration of APIs and services into enterprise applications.
 </li>
 <li>
 Write basic unit tests and collaborate with QA to ensure quality standards.
 </li>
 <li>
 Document technical work and contribute to knowledge sharing within the team.
 </li>
 <li>
 Continuously learn and upskill in new frameworks, tools, and best practices.
 </li>
 <li>
 Participate in unit testing, integration testing, and debugging activities.
 </li>
 <li>
 Assist in setting up and maintaining CI/CD pipelines, deployment scripts, and DevOps workflows.
 </li>
 <li>
 Stay updated on emerging technologies and best practices in full stack development.
 </li>
 <li>
 Collaborate with product managers/owners and designers to translate requirements into technical solutions.
 </li>
 </ul>
 
 
 
 Requirements
 
 :
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field (or equivalent practical experience).
 </li>
 <li>
 0&ndash;3 years of experience in full stack development, including internships, academic projects, or junior roles.
 </li>
 <li>
 Familiarity with frontend (React, TypeScript) and backend (Python, NodeJS, .NET Core) development.
 </li>
 <li>
 Basic understanding of databases (SQL, MongoDB) and API development.
 </li>
 <li>
 Knowledge of relational and non-relational databases (e.g., MySQL, PostgreSQL, MongoDB).
 </li>
 <li>
 Knowledge of software development fundamentals, version control (Git), and agile methodologies.
 </li>
 <li>
 Strong willingness to learn and grow in a structured, team-oriented environment.
 </li>
 <li>
 Strong problem-solving skills and ability to work collaboratively.
 </li>
 <li>
 Hands-on understanding of AI/ML use cases, automation platforms and Agentic AI as part of your daily toolkit.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Kind Note
 
 :
 
 
 
 
 
 
 
 * While we carefully review all applications, only candidates meeting the specified requirements will be contacted for further consideration. We appreciate your understanding and thank all applicants for their interest.
 
 
</div>

Full Stack Development Engineer

Summit Technology Solutions

<div>
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and deploy AI-driven applications using modern frameworks and tools
 </li>
 <li>
 Build and maintain APIs using FastAPI, flask and Django
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) pipelines
 </li>
 <li>
 Deploy and optimize Large Language Models (LLMs) for real-world use cases
 </li>
 <li>
 Work with vector databases for semantic search and retrieval tasks
 </li>
 <li>
 Develop OCR-based solutions for document processing and automation
 </li>
 <li>
 Collaborate on end-to-end product development from PoC to production deployment
 </li>
 <li>
 Manage version control and collaboration using Git
 </li>
 <li>
 Participate in client meetings to understand requirements, present solutions, and provide technical insights
 </li>
 <li>
 Ensure scalability, reliability, and performance of deployed systems
 </li>
 </ul>
 
 
 
 
 Required Skills
 
 
 <ul>
 <li>
 2&ndash;3 years of professional experience in software engineering with AI development
 </li>
 <li>
 Strong proficiency in Python
 </li>
 <li>
 Hands-on experience with FastAPI, flask and Django
 </li>
 <li>
 Solid understanding of RAG architectures and workflows
 </li>
 <li>
 Experience deploying and integrating LLMs
 </li>
 <li>
 Familiarity with vector databases (e.g., Pinecone, FAISS, Weaviate, etc.)
 </li>
 <li>
 Experience with OCR technologies and document processing
 </li>
 <li>
 Proficiency with Git and collaborative development workflows
 </li>
 <li>
 Experience with Docker and containerization
 </li>
 </ul>
</div>

Artificial Intelligence Software Engineer

Talent 360 ME

<div>
 Senior Full-Stack Developer
 
 
 Type: Full-Time
 
 
 Experience: Mid-Senior Level
 
 
 
 About The Role
 
 
 
 We are looking for a Full-Stack Developer with strong expertise in Next.js (frontend), NestJS (backend) and Python as well (backend) who thrives in an AI-augmented development environment. You will build scalable web applications, design robust APIs, and actively leverage AI tools to accelerate development, testing, documentation, and optimization.
 
 
 Key Responsibilities
 
 
 Design, develop, and maintain full-stack applications using Next.js, NestJS and Python.
 
 
 Build RESTful and/or GraphQL APIs with proper validation, security, and performance considerations.
 
 
 Implement SSR, SSG, and performance optimization strategies in Next.js.
 
 
 Design clean, modular, and testable backend services using NestJS and TypeScript.
 
 
 Integrate databases (e.g., MySQL, PostgreSQL, MongoDB) and caching layers (e.g., Redis).
 
 
 Leverage AI tools for optimizing the development life-cycle
 
 
 Collaborate with designers, product managers, and QA engineers.
 
 
 Review code, enforce best practices, and improve engineering standards.
 
 
 Deploy and maintain applications using modern CI/CD pipelines and cloud services.
 
 
 
 Required Skills
 
 
 
 Strong experience with Next.js, React, and TypeScript.
 
 
 Strong experience with NestJS and Node.js.
 
 
 Strong experience with Python frameworks such as Django, FastApi or Flask.
 
 
 Solid understanding of RESTful APIs, authentication (JWT/OAuth), and authorization.
 
 
 Experience with relational and/or NoSQL databases.
 
 
 Solid understanding of Docker and cloud services (AWS, GCP, or Azure).
 
 
 Solid understanding of Server debugging and configuration.
 
 
 Proficiency in Git and modern development workflows.
 
 
 Hands-on experience using AI-assisted development tools productively.
 
 
 Nice-to-Have
 
 
 Experience with microservices architecture.
 
 
 Knowledge of server-side rendering and SEO best practices.
 
 
 Experience with Redis, message queues, or event-driven systems.
 
 
 Experience building PWA or mobile-friendly web apps.
 
 
 
 Requirements
 
 
 
 4+ Years of experience
 
 
 
 Benefits
 
 
 
 <ul>
 <li>
 Social insurance
 </li>
 <li>
 Medical insurance
 </li>
 <li>
 Annual Bonus
 </li>
 </ul>
</div>

Full Stack Developer ( Next.js & Nest.JS )

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