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Datamatics Technologies Linkedin · Posted 5d ago

Emerging Technology Services Engineer

Riyadh

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Indexed description

Job Title: Emerging Technology Services Engineer
Experience: 6–11 Years
Location: Riyadh (Onsite)
Employment Type: Full-Time

Job Overview

We are seeking an experienced Emerging Technology Services Engineer with 6–11 years of experience to drive innovation initiatives, evaluate emerging technologies, and develop proof-of-concepts (PoCs) that support business transformation. The ideal candidate will have hands-on experience in AI/ML experimentation, cloud-native technologies, automation, orchestration, and innovation enablement, with the ability to translate new technologies into scalable business solutions.

Key Responsibilities
  • Research, evaluate, and implement emerging technologies to address business and technical challenges
  • Design, develop, and deliver AI/ML Proof of Concepts (PoCs) to validate new ideas and technologies
  • Build cloud-native solutions that are scalable, resilient, and secure
  • Design and implement automation and orchestration solutions to improve operational efficiency
  • Collaborate with engineering, architecture, product, and business teams to identify innovation opportunities
  • Assess technology trends and recommend adoption strategies aligned with organizational objectives
  • Develop prototypes and pilot solutions to demonstrate business value
  • Document solution architectures, technical findings, and best practices
  • Mentor technical teams on emerging technologies and innovation frameworks
  • Participate in architecture reviews and technology governance initiatives
Required Technical SkillsArtificial Intelligence & Machine Learning
  • Hands-on experience with AI/ML PoC development
  • Experience with machine learning model development, evaluation, and deployment
  • Familiarity with Generative AI, Large Language Models (LLMs), and AI frameworks is preferred
Cloud & Cloud-Native Technologies
  • Strong experience with cloud-native exploration and solution development
  • Hands-on experience with AWS or Microsoft Azure or Google Cloud Platform (GCP)
  • Experience with microservices, containers, and Kubernetes is preferred
Automation & Orchestration
  • Strong experience in automation and orchestration using modern enterprise tools and scripting frameworks
  • Experience building automated deployment, provisioning, and operational workflows
  • Knowledge of Infrastructure as Code (IaC) is an advantage
Innovation & Emerging Technologies
  • Experience driving innovation enablement through technology assessments, rapid prototyping, and pilot implementations
  • Ability to evaluate emerging technology trends and recommend enterprise adoption strategies
  • Experience working with innovation labs, R&D initiatives, or digital transformation programs is preferred
Qualifications
  • Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field
  • 6–11 years of professional experience in software engineering, cloud technologies, AI/ML, or emerging technology initiatives
  • Strong analytical, problem-solving, and solution design capabilities
  • Excellent communication and stakeholder management skills
  • Experience working in Agile/Scrum environments
Preferred Skills
  • Experience with DevOps and CI/CD pipelines
  • Knowledge of API integrations and event-driven architectures
  • Exposure to data engineering and analytics platforms
  • Familiarity with cybersecurity best practices for cloud-native applications
  • Cloud certifications and AI/ML certifications are a plus
Key Technology Stack
  • Artificial Intelligence: AI/ML PoC development and Generative AI or Large Language Models (LLMs)
  • Cloud: AWS or Microsoft Azure or Google Cloud Platform (GCP) and cloud-native architectures
  • Automation: Automation and orchestration and Infrastructure as Code (Preferred)
  • Containers: Docker and Kubernetes
  • DevOps: CI/CD pipelines and Git-based version control
  • Innovation: Innovation enablement and rapid prototyping and technology evaluation and proof-of-concept development
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