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Infomineo

<div>
 
 
 About us
 
 
 
 Infomineo is a pioneering global AI-enhanced research company that transforms how businesses access, analyze, and act on critical intelligence. We&rsquo;ve evolved from traditional business research outsourcing to become the strategic partner that combines cutting-edge artificial intelligence with deep human expertise. We offer 3 services to our global clients (leading consulting companies, Fortune 500 companies, and government entities): AI and Data Advisory, Next-Gen Insights and Resource Scaling. This is made possible by relying on 3 pillars of excellence:
 
 
 
 
 <ol>
 <li>
 350+ industry experts spread across 5 offices (Cairo, Casablanca, Mexico City, Dubai, Barcelona).
 </li>
 <li>
 Our proprietary AI orchestrator.
 </li>
 <li>
 Extensive knowledge assets combining 500,000+ delivered case studies and database subscriptions.
 </li>
 </ol>
 
 
 
 
 Ready to kick start your career with us?
 
 
 
 Why Infomineo? Here&rsquo;s what sets us apart:
 
 
 <ul>
 <li>
 
 Shape the Future of Business Insights:
 
 You will be at the forefront, leading the design and implementation of AI-driven solutions that automate tasks and drive efficiency across our entire service spectrum (Business Research, Content, Design, and Data Analytics).
 </li>
 <li>
 
 Work with Global Leaders:
 
 Our clients are industry leaders &mdash; Fortune 500s, top consultancies, governments, and NGOs. You will take ownership of delivering technical solutions that directly support their success.
 </li>
 <li>
 
 Lead in AI &amp; Technology:
 
 We foster continuous learning and technical excellence. You will stay ahead of the latest advancements in AI and software engineering, and actively drive innovation across the team.
 </li>
 <li>
 
 Thrive in a Collaborative Culture:
 
 We value intellectual curiosity, leadership, and a can-do attitude. You will be encouraged to mentor others, contribute strategic ideas, and make a lasting impact on the company&rsquo;s growth.
 </li>
 </ul>
 
 
 
 
 
 About this role:
 
 
 
 We are seeking an experienced and technically strong individual to join us as
 
 Senior AI Software Engineer.
 
 In this role, you will take ownership of designing, developing, and deploying AI-powered data products and analytical applications that serve our internal teams and global clients. You will lead data science and AI initiatives, define best practices for applied AI and analytical solution development, and collaborate closely with engineering, product, and business stakeholders. While the role is primarily data science and AI-focused, you will also leverage your full-stack development background to build production-ready applications, integrate AI capabilities, and support cloud-based deployment.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 Data Science, AI &amp; Applied R&amp;D:
 
 
 <ul>
 <li>
 Lead the design and development of AI-powered analytical solutions, data products, and intelligent applications that solve complex business problems.
 </li>
 <li>
 Translate business and client requirements into data science approaches, AI workflows, and scalable technical solutions.
 </li>
 <li>
 Design, prototype, and productionize machine learning, LLM, and generative AI solutions with a focus on business value, reliability, and usability.
 </li>
 <li>
 Own the architecture of Retrieval-Augmented Generation (RAG) pipelines, including document processing, vectorization, semantic search, evaluation, and query optimization for enterprise use cases.
 </li>
 <li>
 Design and implement complex AI-powered features by integrating LLM APIs and services using frameworks such as LangChain or equivalent, with a focus on reliability, accuracy, and performance in production.
 </li>
 <li>
 Design, implement, and maintain Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and data sources, enabling context-aware and extensible AI solutions.
 </li>
 <li>
 Develop evaluation frameworks, monitoring approaches, and observability practices for LLM-powered systems to ensure quality, transparency, and continuous improvement.
 </li>
 <li>
 Apply advanced prompt engineering, embedding strategies, and vector database management techniques to improve the performance of AI solutions.
 </li>
 <li>
 Integrate AI outputs into analytical workflows, dashboards, reporting tools, and client delivery pipelines.
 </li>
 </ul>
 
 
 
 
 
 Full-Stack Application Development:
 
 
 <ul>
 <li>
 Design and contribute to the development of production-grade AI and data applications, primarily using Python and backend frameworks such as FastAPI.
 </li>
 <li>
 Build or support frontend interfaces using modern frameworks such as React, Next.js, or Vue to make AI and data products accessible to business users and clients.
 </li>
 <li>
 Collaborate with software engineers to define scalable application architectures, API standards, and integration patterns.
 </li>
 <li>
 Develop and maintain REST API integrations with third-party AI services, enterprise SaaS platforms, internal tools, and external data sources.
 </li>
 <li>
 Ensure that data science prototypes are translated into maintainable, secure, and scalable production solutions.
 </li>
 <li>
 Participate in code reviews, define technical best practices, and contribute to a high-quality engineering and data science culture.
 </li>
 </ul>
 
 
 
 
 
 Cloud, Deployment &amp; MLOps:
 
 
 <ul>
 <li>
 Support the containerization and cloud deployment of AI and data applications, preferably on Google Cloud Platform using GKE and Artifact Registry, while remaining adaptable to other cloud environments.
 </li>
 <li>
 Design and maintain CI/CD pipelines using GitHub Actions or equivalent tools to ensure reliable and repeatable releases.
 </li>
 <li>
 Apply MLOps and LLMOps practices to manage experimentation, deployment, monitoring, and continuous improvement of AI systems.
 </li>
 <li>
 Collaborate with engineering and infrastructure teams to ensure the reliability, scalability, and performance of production environments.
 </li>
 <li>
 Proactively identify performance bottlenecks in AI workflows, data pipelines, application layers, and infrastructure.
 </li>
 </ul>
 
 
 
 
 
 Technical Leadership &amp; Collaboration:
 
 
 <ul>
 <li>
 Lead applied AI and data science initiatives from discovery and prototyping through production deployment.
 </li>
 <li>
 Mentor junior data scientists, AI engineers, and developers on data science methods, AI integration, coding practices, and production readiness.
 </li>
 <li>
 Work closely with product teams, consultants, analysts, and non-technical stakeholders to ensure solutions are aligned with business needs.
 </li>
 <li>
 Define standards and best practices for AI solution design, evaluation, documentation, and delivery.
 </li>
 <li>
 Communicate complex technical concepts clearly to both technical and non-technical audiences.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 4 to 6 years of experience in data science, AI development, applied machine learning, or related technical roles, with hands-on experience delivering production-grade AI or data products.
 </li>
 <li>
 Strong proficiency in Python, with experience using data science, machine learning, and AI libraries and frameworks.
 </li>
 <li>
 Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue.
 </li>
 <li>
 Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.
 </li>
 <li>
 Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
 </li>
 <li>
 Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.
 </li>
 <li>
 Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.
 </li>
 <li>
 Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.
 </li>
 <li>
 Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.
 </li>
 <li>
 Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
 <ul>
 <li>
 Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
 </li>
 <li>
 Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.
 </li>
 <li>
 Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.
 </li>
 <li>
 Experience with Infrastructure as Code tools such as Terraform or Pulumi.
 </li>
 <li>
 Experience designing data models, analytical pipelines, or BI/dashboard solutions.
 </li>
 <li>
 Relevant certifications such as Google Cloud Professional Data Engineer, Google Cloud Professional Machine Learning Engineer, Google Cloud Professional Developer, or similar cloud and AI credentials.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 <ul>
 <li>
 A competitive compensation and benefits package.
 </li>
 <li>
 The opportunity to lead AI and technology initiatives with real global impact.
 </li>
 <li>
 A dynamic and supportive work environment that values leadership, innovation, and your contributions.
 </li>
 <li>
 Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
 </li>
 </ul>
 
 
 
 
 
 Application Process:
 
 
 
 Candidates are invited to submit a resume, cover letter, and any relevant portfolio or GitHub links showcasing their experience in web application development, AI integration, and cloud deployment. Shortlisted candidates will undergo a technical assessment and interview to demonstrate their skills and technical leadership capabilities.
 
 
 
 
 
 
 Infomineo: Where brilliant minds meet to shape the future of business.
 
 
 
 
</div>

AI & Analytics - Sr. Software Engineer with AI Background - Cairo

Procore Technologies

<div>
 We&rsquo;re looking for a
 
 Staff Software Engineer - Agentic Foundation
 
 to join Procore&rsquo;s Product &amp; Technology Team. The Agentic Foundation team treats AI adoption as an internal product, building and operating the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. This position requires developer productivity experience to achieve high velocity without compromising on quality in this critical functional domain.
 
 
 Procore software solutions aim to improve the lives of everyone in construction and the people within Product &amp; Technology are the driving force behind our innovative, top-rated global platform. We&rsquo;re a customer-centric group that encompasses engineering, product, product design and data, security and business systems.
 
 
 This role reports to a Senior Manager, Software Engineering and we&rsquo;re looking for someone to join us immediately.
 
 Apply now!
 
 
 
 
 
 What you&rsquo;ll do:
 
 
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction
 </li>
 <li>
 Own the technical vision and architectural strategy for Procore's agentic developer platform &mdash; setting the direction for how AI is integrated natively across the full software development lifecycle, from code generation and review through testing, deployment, and observability.
 </li>
 <li>
 Author and drive adoption of architectural RFCs and technical design documents that establish org-wide platform contracts, integration patterns, and engineering standards for teams you don't directly work with.
 </li>
 <li>
 Conduct thorough, constructive code reviews and pair with teammates to elevate code quality and knowledge-sharing across the team.
 </li>
 <li>
 Anticipate second- and third-order consequences of platform decisions; design systems that remain extensible as Procore's agentic capabilities evolve.
 </li>
 <li>
 Collaborate with infrastructure, platform, and product engineering teams to align on shared standards and avoid duplicated effort.
 </li>
 <li>
 Bring strong opinions, loosely held &mdash; propose ideas clearly, pressure-test them with the team, and adapt based on feedback.
 </li>
 <li>
 Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.
 </li>
 <li>
 Focus on metrics and observability: We intend to become an elite performer in the software industry, and we can only do this if we learn and adapt quickly. We need telemetry from our agentic software delivery systems from which to continually learn how to improve our lead time for changes, our change failure rate, and our mean time to recover from failure.
 
 
 </li>
 </ul>
 
 
 What we&rsquo;re looking for:
 
 
 
 
 <ul>
 <li>
 8+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
 </li>
 <li>
 Proven proficiency with AI-native developer tooling &mdash; you have integrated LLM-powered systems into engineering workflows (code review, test generation, agentic pipelines, or similar) and can lead Procore's strategy in this space from day one.
 </li>
 <li>
 Experience building or integrating AI-native developer tooling &mdash; LLM-assisted code review, agentic test generation, AI-powered incident triage, or similar.
 </li>
 <li>
 Experience with LLM evaluation frameworks (benchmarks, evals, quality scoring) for assessing tool effectiveness.
 </li>
 <li>
 Experience building MCPs, MCP Gateway, or AI/LLM Gateways.
 </li>
 <li>
 Familiarity of how AI Agents and LLMs work under the hood.
 </li>
 <li>
 Experience working in Developer Platform, DevOps or Developer Experience teams.
 </li>
 <li>
 Strong fundamentals in at least one of: Ruby on Rails, Python or TypeScript; comfort reading and contributing across multiple languages.
 </li>
 <li>
 Solid DevOps instincts: you understand deployment strategies, rollback mechanisms, feature flags, and what 'safe to deploy' actually means in a high-scale environment.
 </li>
 <li>
 Expert-level fluency in software delivery observability: DORA metrics, distributed tracing, SLO/SLA design, and building feedback loops that drive measurable improvement.
 </li>
 <li>
 Track record of mentoring senior engineers and raising the technical bar of those around you &mdash; not just executing at a high level yourself.
 </li>
 <li>
 Comfort navigating organizational ambiguity: you can drive clarity, build consensus, and maintain momentum on long-horizon initiatives without close direction.
 </li>
 </ul>
</div>

Staff Software Engineer - Agentic Foundation

Accenture

<div>
 
 Accenture Technology:
 
 
 
 Through unmatched industry experience, leading-edge technologies, and a global delivery network, Accenture helps organizations accelerate innovation and drive meaningful transformation. By combining data, intelligence, and advanced engineering capabilities, we enable our clients to build scalable, high‑quality data solutions that power business decisions and operational excellence. Visit us at www.accenture.com.
 
 
 
 The Work:
 
 
 
 As a
 
 Data Engineer
 
 , you will be responsible for designing, building, and maintaining robust data solutions that support data generation, collection, migration, and processing across enterprise systems. You will play a key role in developing scalable data pipelines, ensuring data quality, and implementing ETL processes to enable reliable data movement and analytics. This role requires strong technical expertise, ownership of team decisions, and close collaboration with multiple stakeholders to deliver impactful, cross‑team solutions.
 
 
 
 Responsibilities:
 
 
 
 
 <li>
 Design, develop, and maintain end-to-end data pipelines to support data ingestion, transformation, and deployment across systems.
 
 </li>
 <li>
 Implement and manage ETL processes to ensure efficient and reliable data migration and processing.
 
 </li>
 <li>
 Ensure high standards of data quality, consistency, and integrity through continuous monitoring and optimization.
 
 </li>
 <li>
 Act as a subject matter expert, providing technical guidance and contributing to key architectural and design decisions.
 
 </li>
 <li>
 Collaborate with cross-functional teams to identify data requirements and deliver effective, scalable data solutions.
 
 </li>
 <li>
 Lead and support the team to ensure effective execution, timely delivery, and alignment with business objectives.
 
 </li>
 <li>
 Develop innovative data solutions that improve operational efficiency and enable data-driven decision-making.
 
 </li>
 <li>
 Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and scalability.
 
 </li>
 <li>
 Conduct regular data quality assessments and implement continuous improvements.
 
 </li>
 <li>
 Stay current with industry trends, emerging technologies, and best practices in data engineering.
 
 
 
 </li>
 
 Qualifications:
 
 
 
 
 <li>
 minimum 10 Years of experience.
 
 </li>
 <li>
 Master proficiency in Oracle Data Integrator (ODI) is required.
 
 </li>
 <li>
 Master proficiency in Data Migrations is highly recommended.
 
 </li>
 <li>
 Expert proficiency in Data Engineering, Data Pipelines, Data Processing, and Data Access is strongly preferred.
 
 </li>
 <li>
 Strong analytical, problem-solving, and collaboration skills, with the ability to work across multiple teams.
 
 
 
 </li>
</div>

Oracle Data Conversion Manager

Talkpush

<div>
 
 WE ARE HIRING.
 
 
 
 Talkpush is hiring sales professionals, product managers, marketers, and developers to join its team. Most positions are based in our offices all over the globe: San Francisco, India, Philippines, Costa Rica, Mexico, and Hong Kong. Intelligent and ideological candidates interested in changing the world of recruitment are welcome to apply. Just have a chat with us on our website or on our Facebook page.
 
 
 Read more about the Talkpush culture here.
 
 
 ⚠️
 
 DON'T APPLY FOR A JOB AT TALKPUSH IF THIS IS YOU
 
 
 
 Recruitment is one of the oldest, most established industries, and we're out to change it completely through automation. To make that dream come true, we need people with a fire in their belly who would rather deliver unpleasant truths to customers rather than slap together a quick fix. This isn't a 9-to-5 job that delivers the same experience every day, but a place where once in a while, you wake up with a burning desire to implement a new solution and to test the heck out of it.
 
 
 This means that people who think sucking up to the boss or being a yes-person is the path to success, who aren't willing to stand behind their idea, even in the face of pushback, who prefer change to be predictable and gradual, won't be very happy here. They might be smart, kind, and lovely, but this isn't their pot's lid. If you're the kind of person who gets a little obsessed about a problem and can't think of anything else until you can puzzle it out, we can offer interesting challenges, an international team that will challenge you, and a mission to help millions of people get hired by focusing relentlessly on building better candidate experiences. Does this sound a little scary and overly ambitious? Good, that's just how we like it. ✨
 
 
 
 Solutions Engineer &mdash; Egypt (Remote)
 
 
 
 
 Location:
 
 Fully Remote
 
 
 
 Salary:
 
 Based on experience
 
 
 
 Product Focus:
 
 AI-First Recruitment Technology
 
 
 Egypt is one of our largest markets by user volume, and we don't yet have anyone on the ground. This role is about changing that: getting deep into customer configurations, fixing what's broken, and building real relationships with the recruitment managers and team leaders who use our platform every day.
 
 
 This isn't a commercial role. You won't carry a revenue number. You'll be the person who makes the product work brilliantly for the customer &mdash; and over time, builds a local Talkpush community in Egypt through monthly in-person meetups.
 
 
 
 What You'll Do
 
 
 
 
 Configuration &amp; Problem-Solving
 
 
 
 <ul>
 <li>
 Own a queue of customer tickets and configuration requirements each week
 </li>
 <li>
 Configure Autoflows, integrations, and bot interactions to match customer needs
 </li>
 <li>
 Audit existing setups and optimise for performance, response quality, and adoption
 </li>
 <li>
 Troubleshoot issues end-to-end and resolve them with minimal escalation
 
 
 </li>
 </ul>
 
 Customer Engagement
 
 
 
 <ul>
 <li>
 Run weekly technical check-ins with recruitment managers and team leaders
 </li>
 <li>
 Translate customer pain into specific platform changes and configuration tweaks
 </li>
 <li>
 Set clear expectations on what's possible and how long it takes
 
 
 </li>
 </ul>
 
 Community Building (Egypt)
 
 
 
 <ul>
 <li>
 Organise a monthly in-person event for Talkpush users and prospects in Cairo or Alexandria
 </li>
 <li>
 Build word-of-mouth in the local recruitment community
 </li>
 <li>
 Surface market intelligence back to the global team
 
 
 </li>
 </ul>
 
 Supervising AI Agents
 
 
 
 <ul>
 <li>
 Review and optimise AI interview agent configurations
 </li>
 <li>
 Spot performance issues before customers do
 </li>
 <li>
 Feed insights back into product
 
 
 </li>
 </ul>
 
 What We're Looking For
 
 
 
 
 Experience
 
 
 
 <ul>
 <li>
 Background in technical support (Level 2/3), configuration-heavy roles, business analysis, industrial engineering, or as a developer who's moved into customer-facing work
 </li>
 <li>
 Proven ability to work with enterprise customers over the long haul without burning out &mdash; this work is detailed, repetitive at times, and requires patience
 </li>
 <li>
 Native or fluent Arabic; strong professional English
 
 
 </li>
 </ul>
 
 Attitude (this matters more than credentials)
 
 
 
 <ul>
 <li>
 Resilience. You've handled difficult enterprise customers for years and kept your composure. Chaos and ambiguity don't faze you.
 </li>
 <li>
 Doer mindset. You'd rather fix something than write a memo about fixing it.
 </li>
 <li>
 Solitary focus. You're comfortable doing deep configuration work alone for hours.
 </li>
 <li>
 Pragmatic. You solve the problem in front of you rather than chasing the perfect solution.
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Ability to vibe-code (light scripting, prompt engineering, or agent configuration)
 </li>
 <li>
 Experience with workflow automation tools
 </li>
 <li>
 Prior exposure to recruitment, HR tech, or BPO industries
 
 
 </li>
 </ul>
 
 Why Join
 
 
 
 <ul>
 <li>
 Build something from scratch in a major market where we have demand but no presence
 </li>
 <li>
 Work directly with the EMEA Director, not through layers of management
 </li>
 <li>
 Influence product direction through what you learn from customers
 </li>
 <li>
 A globally distributed team that values doers over talkers
 </li>
 </ul>
</div>

Solutions Engineer — Egypt (Remote)

geidea

<div>
 
 Established in 2008, Geidea epitomises customer focused empowerment and commercial success through continuous innovation.
 
 
 Geidea makes best in class digital payment solutions available for all by attracting and leveraging the best creative &amp; entrepreneurial talent in the market.
 
 
 Our solutions give any business the chance to get ahead and reach for more no matter their size or maturity.
 
 
 Our technology mirrors our people - Smart, Innovative &amp; Forward Thinking
 
 
 www.geidea.net
 
 
 
 
 
 To maintain competitive advantage as we grow, we are currently looking for new "Mid-level Android Developer"
 
 
 
 
 
 
 Job purpose:
 
 
 
 We are looking for a passionate and technically strong
 
 Mid-level Android Developer
 
 to join our Mobile Applications team.
 
 
 In this role, you will lead the design and development of scalable, high-performance Android applications that power our fintech solutions. You will collaborate closely with cross-functional teams &mdash; Product, Design, Backend, and QA &mdash; to deliver secure, user-friendly, and reliable mobile experiences.
 
 
 
 
 
 
 Key accountabilities and decision ownership:
 
 
 <ul>
 <li>
 Drive the end-to-end delivery of complex app modules &mdash; from design to deployment &mdash; ensuring scalability, performance, and reliability.
 </li>
 <li>
 Design and implement clean, modular, and maintainable architecture using
 
 MVVM
 
 and
 
 Clean Architecture
 
 principles across Android and shared
 
 KMM
 
 components.
 </li>
 <li>
 Develop rich UIs using
 
 Jetpack Compose
 
 and
 
 Compose Multiplatform
 
 , maintaining design accuracy through close collaboration with the
 
 UI/UX team (Figma)
 
 .
 </li>
 <li>
 Integrate and optimize
 
 RESTful APIs
 
 with robust error handling, caching, and offline support.
 </li>
 <li>
 Apply modern Android practices using
 
 Coroutines, Flow, Hilt/Koin, Navigation Component, Room,
 
 and
 
 WorkManager
 
 .
 </li>
 <li>
 Optimize app performance, memory efficiency, and responsiveness while maintaining
 
 security and compliance standards
 
 .
 </li>
 <li>
 Collaborate effectively with
 
 Product, Design, Backend,
 
 and
 
 QA
 
 teams to convert business requirements into scalable technical solutions.
 </li>
 <li>
 Maintain high code quality through
 
 code reviews, unit testing,
 
 and
 
 CI/CD best practices
 
 .
 </li>
 <li>
 Monitor app stability and analytics using
 
 Firebase Crashlytics, Firebase Analytics,
 
 and
 
 Performance Monitoring
 
 , driving improvements through insights.
 </li>
 <li>
 Stay up to date with emerging
 
 Android and Multiplatform
 
 technologies to continuously improve team efficiency and product quality.
 </li>
 </ul>
 
 
 
 
 
 Must have technical / professional qualifications:
 
 
 <ul>
 <li>
 
 1-3 years
 
 of hands-on Android development experience with strong proficiency in
 
 Kotlin
 
 .
 </li>
 <li>
 Practical experience working on
 
 Kotlin Multiplatform Mobile (KMM)
 
 projects.
 </li>
 <li>
 Expertise in
 
 Jetpack Compose, MVVM, Dependency Injection (Hilt/Koin), Coroutines,
 
 and
 
 Flow
 
 .
 </li>
 <li>
 Strong understanding of
 
 asynchronous programming, multi-threading,
 
 and
 
 memory optimization
 
 .
 </li>
 <li>
 Proven experience in
 
 modular architecture design
 
 and
 
 feature-based project structure
 
 .
 </li>
 <li>
 Solid experience integrating
 
 RESTful APIs
 
 and managing
 
 data synchronization
 
 .
 </li>
 <li>
 Familiarity with
 
 Firebase (Crashlytics, Analytics, Performance Monitoring)
 
 and
 
 Mixpanel
 
 for app analytics and stability.
 </li>
 <li>
 Deep understanding of
 
 mobile app security best practices
 
 &mdash; secure storage, encryption, and vulnerability prevention.
 </li>
 <li>
 Excellent communication skills and ability to work effectively in
 
 agile, cross-functional teams
 
 .
 </li>
 <li>
 Strong ownership mindset with the ability to
 
 prioritize and deliver
 
 within timelines.
 </li>
 <li>
 Experience in
 
 POS, fintech, or payment domain
 
 applications.
 </li>
 <li>
 Knowledge of
 
 remote configuration, feature toggles,
 
 and
 
 dynamic UI management
 
 .
 </li>
 <li>
 Exposure to
 
 CI/CD pipelines
 
 (GitLab CI, Jenkins, or similar).
 </li>
 <li>
 Basic understanding of
 
 iOS integration
 
 in
 
 KMM projects
 
 .
 </li>
 <li>
 Experience working in
 
 multi-module, scalable app architectures
 
 .
 </li>
 </ul>
 
 
 
 
 
 Our values guide how we think and act - They describe what we care about the most:
 
 
 
 
 Customer first
 
 - It&rsquo;s embedded in our design thinking and customer service approach
 
 
 
 Open
 
 - Openness allows us to constantly improve and evolve
 
 
 
 Real
 
 - No jargon and no excuses!
 
 
 
 Bold
 
 - Constantly challenging ourselves and our way of thinking
 
 
 
 Resilient
 
 &ndash; If we fail, we bounce back stronger than before
 
 
 
 Collaborative
 
 - We know that we can achieve a lot more as a team
 
 
 
 
 
 We are changing lives by constantly striving for a better solution.
 
</div>

Mid-level Android Developer

ISG Intelligent Systems Group

<div>
 Job Title: Odoo Technical Developer
 
 
 
 Job Overview
 
 
 
 We are seeking a skilled
 
 Odoo Technical Developer
 
 to design, customize, and develop applications within the Odoo ERP framework. You will work closely with functional consultants to deliver tailored solutions that meet client requirements.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and customize Odoo ERP modules based on client requirements.
 </li>
 <li>
 Develop new features, business logic, and system integrations.
 </li>
 <li>
 Work with PostgreSQL for database design and optimization.
 </li>
 <li>
 Create and maintain QWeb reports and web interfaces.
 </li>
 <li>
 Debug, maintain, and enhance existing Odoo modules.
 </li>
 <li>
 Collaborate with functional consultants to translate business needs into technical solutions.
 </li>
 <li>
 Ensure code quality, performance, and security best practices.
 </li>
 <li>
 Support deployment, upgrades, and bug fixes.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Software Engineering, or IT.
 </li>
 <li>
 Strong proficiency in Python and Odoo framework.
 </li>
 <li>
 Solid knowledge of PostgreSQL, XML, JavaScript, HTML, CSS, QWeb.
 </li>
 <li>
 Experience in Odoo ORM and API integrations (REST/SOAP).
 </li>
 <li>
 Familiarity with Git and Linux environments.
 </li>
 <li>
 Strong problem-solving and debugging skills.
 </li>
 <li>
 Previous experience in Odoo module development is highly preferred.
 </li>
 <li>
 Odoo Technical Certification is a plus.
 </li>
 </ul>
</div>

Odoo Technical Developer

<div>
 
 Accenture Technology:
 
 
 
 Through unmatched industry experience, leading technologies from our ecosystem partners and startups, and the largest delivery network in the world, we provide a powerful range of capabilities that can be tailored to our client&rsquo;s most complex business needs. With over 100 innovation hubs deployed around the world, we help clients continuously innovate at speed and at scale so they can outpace their peers. You will bring innovation, intelligence, and industry experience together with the newest technologies to help clients innovate at scale and transform their businesses. Visit us atwww.accenture.com.
 
 
 
 General Qualifications:
 
 
 
 Our SAP Technical Manager (CPI) are responsible for configuring and supporting packaged or SaaS applications to adapt features, manage releases, and ensure system stability. This high-performing team operates as subject matter experts, collaborating across multiple teams and contributing to key decisions. Their expertise in SAP Cloud Platform Integration (CPI) and SAP CPI for Data Services is essential for delivering innovative solutions and ensuring seamless application integration.
 
 
 
 Responsibilities:
 
 
 
 
 <li>
 Configure and support packaged or SaaS applications to adapt features, manage releases, and ensure system stability.
 
 </li>
 <li>
 Utilize standard tools, APIs, and low-code platforms to align solutions with business requirements while maintaining compatibility and performance.
 
 </li>
 <li>
 Develop innovative solutions that enhance application performance and user experience.
 
 </li>
 <li>
 Conduct regular system assessments to identify areas for improvement and implement necessary changes.
 
 </li>
 <li>
 Collaborate with cross-functional teams to ensure seamless integration of applications.
 
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 Provide training and support to team members and stakeholders on application functionalities.
 
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 Stay updated with industry trends and best practices to continuously improve application management.
 
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 Lead and manage team decisions, engage with multiple teams, and contribute to key organizational decisions.
 
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 Provide solutions to problems that apply across multiple teams.
 
 
 
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 Basic Qualifications:
 
 
 
 
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 Advanced proficiency in SAP Cloud Platform Integration (CPI).
 
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 Advanced proficiency in SAP CPI for Data Services.
 
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 Advanced proficiency in Software Platforms.
 
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 9-11 years of experience in relevant related skills.
 
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 Bachelor&rsquo;s Degree in a relevant field of study.
 
 
 
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 Preferred Skills:
 
 
 
 
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 Advanced proficiency in application configuration and system stability management.
 
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 Expert proficiency in developing innovative solutions and enhancing user experience.
 
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 Advanced proficiency in cross-functional collaboration and team management.
 
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 Expert proficiency in technical documentation and knowledge sharing.
 
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 Intermediate proficiency in project management methodologies.
 
 
 
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</div>

SAP Technical Manager (CPI)

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