cloud infrastructure engineer

Siemens Digital Industries Software

<div>
 Siemens Digital Industries Software is a leading provider of solutions for the design, simulation, and manufacture of products across many different industries. Formula 1 cars, skyscrapers, ships, space exploration vehicles, and many of the objects we see in our daily lives are being conceived and manufactured using our Product Lifecycle Management (PLM) software and hardware emulation.
 
 
 
 Position Overview
 
 
 
 This role provides a unique opportunity for a full-stack developer skilled in enterprise infrastructure operations. You will work as part of our global Platform Engineering team, simplifying self-service and operations for our global engineering infrastructure.
 
 
 
 Key Responsibilities
 
 
 
 As Senior Software Engineer with 13-15 years' experience, your responsibilities will include:
 
 
 <ul>
 <li>
 Backend services: Design, implement, and operate platform components with an emphasis on reliability, performance, and long-term maintainability
 </li>
 <li>
 APIs: Build and evolve and control-plane services using TypeScript and Go for internal and external consumers
 </li>
 <li>
 Product owner: Own features end-to-end, from technical design and implementation through production rollout, monitoring, and iterative improvement
 </li>
 <li>
 System design: Contribute to discussions, evaluating trade-offs between simplicity, scalability, and operational complexity
 </li>
 <li>
 Monitoring, Logging &amp; Alerting: Improve system operability by enhancing logging, metrics, alerting, and deployment workflows
 </li>
 <li>
 Code quality: Participate in code reviews and design discussions, maintaining high standards for code quality, testing, and documentation
 </li>
 <li>
 Infrastructure Design &amp; Implementation: Design, provisioning, and management of highly available, scalable, and secure cloud infrastructure (e.g., AWS, Azure, GCP, OpenStack) using Infrastructure as Code (IaC) principles
 </li>
 <li>
 Automation &amp; CI/CD: Develop, maintain, and optimize robust CI/CD pipelines (e.g., Jenkins, GitLab CI, Azure DevOps, Argo CD) to automate software delivery, testing, and deployment processes
 </li>
 <li>
 Containerization &amp; Orchestration: Design, implement, and manage containerized application platforms using Docker and Kubernetes, ensuring efficient resource utilization and operational stability
 
 
 </li>
 </ul>
 
 Technical Experience
 
 
 
 
 Backend &amp; Systems
 
 
 
 <ul>
 <li>
 Hands-on experience building backend services in Python/Go and TypeScript, including APIs, background workers, and internal platform tooling
 </li>
 <li>
 Practical understanding of distributed systems concepts such as failure handling, retries, idempotency, and eventual consistency
 
 
 </li>
 </ul>
 
 Frontend &amp; Full-Stack
 
 
 
 <ul>
 <li>
 Advanced TypeScript experience building and maintaining production-grade applications
 </li>
 <li>
 Experience with React and Next.js, including server-side rendering, API routes, and modern frontend architecture patterns
 </li>
 <li>
 Strong focus on developer experience and maintainable, scalable frontend codebases
 
 
 </li>
 </ul>
 
 APIs &amp; Developer Experience
 
 
 
 <ul>
 <li>
 Design and implementation of well-structured REST APIs with clear versioning, consistent error handling, and thorough documentation
 </li>
 <li>
 Development of internal tools, SDKs, and CLIs that improve developer productivity and reduce operational friction
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 13-15 years of professional, enterprise software engineering experience shipping and operating production systems
 </li>
 <li>
 Strong proficiency in TypeScript and Go in real-world production environments
 </li>
 <li>
 Experience building and maintaining applications with Next.js
 </li>
 <li>
 Solid understanding of distributed systems and cloud-native architectures
 </li>
 <li>
 Proven ability to own and deliver complex features from design through production
 </li>
 <li>
 Strong verbal and written communication skills, with the ability to articulate complex technical concepts clearly
 
 
 </li>
 </ul>
 
 Why Us?
 
 
 
 At Siemens Software, flexibility is how we work&mdash;hybrid by default, built on trust and autonomy. Together, 30,000 people across more than 200 countries build technology that shapes the real world. You'll grow through real projects, strong technical peers, and global mobility, backed by the scale and benefits of an industrial software leader. We're committed to equality and inclusion, and we hire based on merit, skills, and impact. Bring your curiosity and creativity and help us shape tomorrow!
 
 
 
 Our Benefits &amp; Rewards
 
 
 
 The salary range for this position is 44,000
 
 to 60
 
 ,000 and this role is eligible to earn incentive compensation. The actual compensation offered is based on the successful candidate's job-related skills, experience, and relevant education/training. Siemens offers health and wellness benefits to employees; you can access the benefits available in your country via the link: Benefits | Siemens Digital Industries Software
 
 
 
 Our Commitment to Equity and Inclusion in our Diverse Global Workforce
 
 
 
 We value your unique identity and perspective. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society, while ensuring that we attract the best talent based on qualifications, skills, and experiences. We welcome you to bring your authentic self.
 
 
 Transform the everyday with us.
 
 
 #SWSaaS
 
 
</div>

Software Engineer - Senior (Full Stack)

Valeo

<div>
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Deploy and maintain secure cloud infrastructure primarily on GCP (Google Cloud Platform) and AWS, ensuring seamless integration between services.
 </li>
 <li>
 Manage and optimize GKE (Google Kubernetes Engine) clusters for high-availability AI applications and microservices.
 </li>
 <li>
 Infrastructure as Code: Build and enforce Terraform strategies to provision and manage infrastructure, ensuring environments are reproducible and version-controlled.
 </li>
 <li>
 CI/CD &amp; Software Verification: Design and implement advanced CI/CD workflows using GitHub Actions, moving beyond simple deployments to create intelligent automation.
 </li>
 <li>
 Build robust verification pipelines that include automated testing, linting, security scanning, and quality gates before production release.
 </li>
 <li>
 Streamline the release process for backend and frontend applications, ensuring "one-click" reliability.
 </li>
 <li>
 Oversee the deployment, maintenance, and backup strategies for databases.
 </li>
 <li>
 Implement comprehensive monitoring and logging solutions (Prometheus, Grafana, Cloud Ops, Cloud Monitoring) to ensure system health, performance, and rapid incident response.
 </li>
 <li>
 Implement security best practices (IAM, VPC configuration, encryption) to protect sensitive AI data and intellectual property.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 Education &amp; Experience
 
 
 
 
 <ul>
 <li>
 B.Sc. or M.Sc. in Computer Science, Computer Engineering, or a related technical field.
 </li>
 <li>
 5+ years of relevant experience in DevOps, Cloud Engineering, or Site Reliability Engineering (SRE).
 </li>
 <li>
 Proven experience acting as a Senior or Lead engineer, guiding architectural decisions.
 
 
 </li>
 </ul>
 
 
 Technical Requirements
 
 
 
 
 <ul>
 <li>
 Advanced hands-on experience with GCP (specifically GKE, VPC, IAM) and a working knowledge of AWS.
 </li>
 <li>
 Proven ability to design and implement robust, scalable, and secure cloud architectures.
 </li>
 <li>
 Mastery of Docker and Kubernetes administration.
 </li>
 <li>
 Strong proficiency in Terraform.
 </li>
 <li>
 Expert knowledge of GitHub Actions for building, test, build, and deploy pipelines.
 </li>
 <li>
 Experience managing PostgreSQL and ClickHouse databases.
 </li>
 <li>
 Deep understanding of Linux System Administration.
 </li>
 <li>
 Experience with AI/ML lifecycle tools (e.g., Kubeflow, MLflow, Vertex AI).
 </li>
 <li>
 Strong proficiency in Python and Bash scripting.
 </li>
 <li>
 Familiarity with DevSecOps tools and practices.
 </li>
 <li>
 Bonus: Official GCP Certifications (e.g., Professional Cloud Architect, Professional Cloud DevOps Engineer) and Kubernetes Certifications (e.g., CKA, CKAD, CKS) are highly preferred.
 </li>
 <li>
 Bonus: Knowledge of Javascript/Node.js is a strong plus.
 
 
 </li>
 </ul>
 
 
 Soft Skills &amp; Mindset
 
 
 
 
 <ul>
 <li>
 Ability to design long-term solutions rather than quick fixes.
 </li>
 <li>
 Excellent ability to explain complex cloud concepts to Data Scientists and business stakeholders.
 </li>
 <li>
 Comfortable working in a fast-paced environment with evolving requirements.
 </li>
 <li>
 Fluent English is a must.
 </li>
 </ul>
</div>

Senior DevOps Engineer, AI4ALL

شركة مسبار الكون لتقنية نظم المعلومات

<div>
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Design and maintain CI/CD pipelines using
 
 Azure DevOps
 
 and Git.
 </li>
 <li>
 Automate build, testing, deployment, and release processes.
 </li>
 <li>
 Deploy and manage cloud infrastructure on
 
 AWS
 
 .
 </li>
 <li>
 Manage
 
 Docker
 
 containers and
 
 Kubernetes
 
 clusters.
 </li>
 <li>
 Implement Infrastructure as Code using
 
 Terraform
 
 .
 </li>
 <li>
 Monitor application performance and infrastructure health.
 </li>
 <li>
 Configure logging, monitoring, and alerting solutions.
 </li>
 <li>
 Improve system reliability, availability, scalability, and security.
 </li>
 <li>
 Collaborate with Software Engineers and QA teams to accelerate software delivery.
 </li>
 <li>
 Support production environments and troubleshoot infrastructure issues.
 </li>
 </ul>
 
 
 Required Skills
 
 
 <ul>
 <li>
 3+ years of experience as a DevOps Engineer.
 </li>
 <li>
 Strong hands-on experience with
 
 AWS
 
 services (EC2, ALB, RDS, VPC, IAM, S3, CloudWatch).
 </li>
 <li>
 Experience with
 
 Docker
 
 and
 
 Kubernetes
 
 .
 </li>
 <li>
 Experience with
 
 Azure DevOps
 
 , GitHub Actions, or Jenkins.
 </li>
 <li>
 Strong knowledge of Linux administration.
 </li>
 <li>
 Experience with
 
 Terraform
 
 , Ansible, or CloudFormation.
 </li>
 <li>
 Strong understanding of networking, DNS, SSL, security, and load balancing.
 </li>
 <li>
 Experience with monitoring tools such as Prometheus, Grafana, ELK, or CloudWatch.
 </li>
 <li>
 Excellent troubleshooting and automation skills.
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with
 
 .NET 8
 
 applications.
 </li>
 <li>
 Experience supporting
 
 Microservices Architecture
 
 .
 </li>
 <li>
 Knowledge of
 
 SQL Server
 
 administration.
 </li>
 <li>
 Experience with
 
 RabbitMQ
 
 or Kafka.
 </li>
 <li>
 AWS or Azure Cloud certifications are a plus.
 </li>
 </ul>
 
 
 
</div>

Senior DevOps Engineer

Mindware

<div>
 
 Job Title
 
 
 
 
 Pre-Sales Engineer
 
 
 
 
 Job Scope
 
 
 
 The Cloud Pre-Sales Engineer is accountable for advising and coordinating with the Sales team on all technical issues related but not limited to account penetration strategies, pre-sales implementations, solution design and training. S/He is a technical expert building strong relationships with partners and customers and driving the business through multiple technical initiatives.
 
 
 
 Main Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Act as a subject matter expert in technical/solutions design of the company products/services
 </li>
 <li>
 Work with the Sales team to develop and implement specific account penetration strategies and achieve set targets
 </li>
 <li>
 Create specific accounts for product(s), service(s) and sales plans pertaining to the company products/services
 </li>
 <li>
 Collaborate with the Sales team in qualifying opportunities, supporting and advising on the technical aspect of the sales lifecycle including technical qualification, presentation of solution proposals and high-level designs and demonstrations
 </li>
 <li>
 Run, manage and drive proof of concepts (POC) and request for proposals (RFP) and close opportunities from a pre-sales and implementation perspective
 </li>
 <li>
 Build sound relationships with partners and customers in support of sales objectives;
 </li>
 <li>
 Lead technical sales calls
 </li>
 <li>
 Manage adoption, integration and value generation of offered products/services within the customer/partner business and related IT infrastructure
 </li>
 <li>
 Complete required pre-sales documentations in a quick and accurate manner
 </li>
 <li>
 Develop content, train and support partners and customers
 </li>
 <li>
 Respond to after-hours support queries during assigned rotations and escalate issues if needed
 </li>
 <li>
 Put available systems into practice (salesforce.com CRM for leads, opportunity and deal registration management) for output efficiency and standardization.
 
 
 
 </li>
 </ul>
 
 Position Requirements
 
 
 
 
 Education
 
 
 
 Bachelor&rsquo;s degree in Computer Engineering, Computer Science or any other related field.
 
 
 
 Experience
 
 
 
 At least 3 years of relevant experience in implementation of Cloud (Azure/AWS).
 
 
 Must have a cloud certification.
 
 
</div>

Pre-Sales Engineer

Yassir

<div>
 
 Yassir
 
 is the leading super App in the Maghreb region set to changing the way daily services are provided. It currently operates in
 
 45 cities across Algeria, Morocco and Tunisia with recent expansions into France, Canada and Sub-Saharan Africa
 
 . It is backed (:
 
 $200M in funding
 
 ) by VCs from Silicon Valley, Europe and other parts of the world.
 
 
 We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally.
 
 
 Helping usher the continent into a digital economy era. We&rsquo;re not just about serving people - we&rsquo;re about creating a marketplace to bring people what they need while infusing social values.
 
 
 
 About The Role
 
 
 
 We are seeking a highly skilled and experienced DevOps Engineer to join our Cloud Operations squad. The ideal candidate will have a strong background in building high-performance, scalable, mission-critical, and secure systems in the cloud to scale our infrastructure further with efficient tools such as Kubernetes and Terraform. You will drive the evolution of major parts of our growing platform, serving millions of customers across multiple countries. You will be joining our amazing and diverse team, learning and helping others to learn something new every day.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build and maintain scalable, cost-effective, and reliable systems with technologies such as Kubernetes in GCP cloud environment
 </li>
 <li>
 Improve our CI/CD process and increase the level of automation at Yassir in order to increase our efficiency
 </li>
 <li>
 Play a key role in handling incidents, and support engineering teams with their infrastructure needs
 </li>
 <li>
 Develop infrastructure as code as required
 </li>
 <li>
 Introduce processes, documentation, best practices, and tools that would help our engineering teams be more productive
 </li>
 <li>
 Automate deployment and scaling processes to minimize downtime.
 </li>
 <li>
 Continuously improve infrastructure and processes to increase efficiency and reduce costs.
 
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Technical Skills :
 
 
 
 <ul>
 <li>
 At least 8+ years of experience in a similar role building and maintaining large-scale, distributed infrastructure environments in the cloud
 </li>
 <li>
 Strong experience with Linux administration and scripting languages (Bash, Python, TypeScript, etc)
 </li>
 <li>
 Proven Experience working with Containers and Container Orchestration technologies such as Docker, Kubernetes
 </li>
 <li>
 Proven Experience with configuration management tools such as Terraform, CDK for Terraform, and Pulumi
 </li>
 <li>
 Proven Experience working with cloud infrastructure and services (GCP, AWS, Azure) with at least 1 year of experience building and maintaining services in GCP
 </li>
 <li>
 Previous experience with CI/CD processes
 </li>
 <li>
 Previous experience with Node.js or Python
 </li>
 <li>
 Strong understanding of network protocols and security best practices.
 </li>
 <li>
 Familiar with relational and non-relational database models (MySQL, PostgreSQL, MongoDB, and Redis)
 </li>
 <li>
 Experience with ElasticSearch, LogStash, and Kibana is a plus
 </li>
 <li>
 Experience with Prometheus and Grafana is a plus.
 
 
 
 </li>
 </ul>
 
 Other key skills and traits :
 
 
 
 <ul>
 <li>
 Outstanding written &amp; verbal communication skills
 </li>
 <li>
 Demonstrated ability to prioritize, self-start, contribute under pressure, and meet tight deadlines
 </li>
 <li>
 Highly organized, creative, and critical thinker
 </li>
 <li>
 Strong problem-solving and analytical skills
 </li>
 <li>
 Comfortable working in an entrepreneurial environment
 </li>
 <li>
 Organized and obsessive about details
 </li>
 <li>
 Hard-working, passionate, and looking to embrace the challenge
 </li>
 <li>
 Bachelor's Degree in Computer Science or related field.
 
 
 
 </li>
 </ul>
 At Yassir, we believe in the power of diversity and the importance of an inclusive culture. So, if you're ready to bring your unique perspective and experiences to the table, then we're excited to listen.
 
 
 Don't just apply for a job, come and be a part of our journey. Let's create a better tomorrow together.
 
 
 We look forward to receiving your application!
 
 
 Best of luck,
 
 
 Your Yassir TA Team
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

Senior DevOps Engineer - Financial Services

Agoda

<div>
 
 About Agoda
 
 
 
 At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
 
 
 Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
 
 
 No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you&rsquo;re ready to begin your best journey and help build travel for the world, join us.
 
 
 We are looking for a hands on Senior Security Engineer to secure our cloud and platform environments. This role works closely with engineering teams and focuses on building, reviewing, and operating security controls using Infrastructure as Code, Kubernetes, and custom security services written in Go and TypeScript.
 
 
 
 Key Responsibilities:
 
 
 
 Secure Cloud Deployment:
 
 
 <ul>
 <li>
 Design, implement, and manage secure cloud deployments across AWS and GCP environments using Terraform.
 </li>
 <li>
 Kubernetes &amp; GitOps Security: Deploy and manage both internal and third‑party security products within the Kubernetes ecosystem.
 </li>
 <li>
 Work with GitOps workflows using tools like Argo CD and Flux, and Helm charts.
 </li>
 <li>
 Security Automation &amp; Tooling: Design and build security tooling and services using Go and TypeScript.
 </li>
 <li>
 Misconfiguration Management: Proactively identify, analyze, and remediate cloud misconfigurations.
 </li>
 <li>
 Cloud Architecture Guidance: Provide guidance to Engineering teams on secure architecture.
 </li>
 <li>
 Threat Detection &amp; Response: Build and optimize cloud-native detection rules and alerting pipelines to monitor for suspicious activities within the cloud and container workloads.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience:
 
 
 
 <ul>
 <li>
 8+ years of experience in security engineering, cloud security, or platform engineering roles.
 </li>
 <li>
 Hands-on experience securing production workloads in AWS and GCP.
 </li>
 <li>
 Strong experience designing and securing Infrastructure as Code using Terraform.
 </li>
 <li>
 Deep understanding of Kubernetes security, including troubleshooting Helm deployments and GitOps-based workflows.
 </li>
 <li>
 Strong programming skills in Go and TypeScript, with Python used for automation where appropriate.
 </li>
 <li>
 Experience embedding security controls into CI/CD pipelines.
 </li>
 <li>
 Certifications (Required) Certified Kubernetes Administrator (CKA) Certified Kubernetes Security Specialist (CKS) Certifications (Preferred) AWS Certified Security
 </li>
 <li>
 Specialty Google Professional Cloud Security Engineer HashiCorp Certified: Terraform Associate
 </li>
 <li>
 Nice-to-Have Experience with Policy-as-Code frameworks such as Open Policy Agent (OPA).
 </li>
 <li>
 Experience securing service mesh environments (Istio). Background in software engineering or platform engineering before moving into security.
 
 
 </li>
 </ul>
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 Please review our Hiring Process Guidelines before your interview &mdash; click here to learn how interviewing at Agoda works.
 
 
 
 Discover More About Working At Agoda
 
 
 
 <ul>
 <li>
 Agoda Careers https://careersatagoda.com
 </li>
 <li>
 Facebook https://www.facebook.com/agodacareers/
 </li>
 <li>
 LinkedIn https://www.linkedin.com/company/agoda
 </li>
 <li>
 YouTube https://www.youtube.com/agodalife
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person&rsquo;s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
 
 
 We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
 
 
 
 Disclaimer
 
 
 
 We do not accept any terms or conditions, nor do we recognize any agency&rsquo;s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
 
 
</div>

Security Engineer (Bangkok Based, Relocation Support)

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>
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 Solid full-stack development background, including experience with backend frameworks such as FastAPI and modern frontend frameworks such as React, Next.js, or Vue.
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 Deep understanding of LLMs, RAG architectures, generative AI workflows, and production-grade AI service integration, including tools such as OpenAI, Gemini, LangChain, or equivalent.
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 Proven experience designing and implementing Model Context Protocol (MCP) integrations to connect AI models with external tools, APIs, and enterprise data sources.
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 Experience building analytical workflows, dashboards, data pipelines, or AI-powered decision-support tools in a client delivery or enterprise context.
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 Hands-on experience with Docker and cloud deployment on at least one major cloud platform such as GCP, AWS, Azure, or equivalent.
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 Familiarity with container orchestration, artifact management, CI/CD pipelines, GitHub Actions, GitOps workflows, and branching strategies.
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 Strong understanding of LLM observability, AI evaluation, performance monitoring, and production reliability practices.
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 Demonstrated ability to lead technical initiatives, mentor junior team members, and collaborate effectively with product teams and business stakeholders.
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 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Computer Science, Software Engineering, Statistics, Applied Mathematics, or a related field.
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 </ul>
 
 
 
 
 
 Preferred Skills:
 
 
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 Experience with agentic AI frameworks such as LangGraph or similar orchestration tools for building multi-step AI workflows.
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 Knowledge of advanced prompt engineering, vector database management, embedding model optimization, and AI evaluation techniques.
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 Experience with MLOps or LLMOps practices, including experiment tracking, model monitoring, and AI quality evaluation.
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 Experience with Infrastructure as Code tools such as Terraform or Pulumi.
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 Experience designing data models, analytical pipelines, or BI/dashboard solutions.
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 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.
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 </ul>
 
 
 
 
 
 What we offer:
 
 
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 A competitive compensation and benefits package.
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 The opportunity to lead AI and technology initiatives with real global impact.
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 A dynamic and supportive work environment that values leadership, innovation, and your contributions.
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 Continuous learning and professional development opportunities to propel your career forward in AI and software engineering.
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 </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.
 
 
 
 
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AI & Analytics - Sr. Software Engineer with AI Background - Cairo

Explore 72+ Cloud infrastructure engineer in Cairo this July. Find roles across top companies and apply now to boost your career.