Job Title: Emerging Technology Services Engineer
Experience: 6–11 Years
Location: Riyadh (Onsite)
Employment Type: Full-Time
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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
Skills Required
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field
- 6-11 years professional experience in software engineering, cloud technologies, AI/ML, or emerging technology initiatives
- Hands-on experience with AI/ML proof-of-concept development
- Experience with machine learning model development, evaluation, and deployment
- Hands-on experience with AWS or Microsoft Azure or Google Cloud Platform (GCP)
- Strong experience in automation and orchestration using enterprise tools and scripting frameworks
- Strong analytical, problem-solving, and solution design capabilities
- Excellent communication and stakeholder management skills
- Experience working in Agile/Scrum environments
- Familiarity with Generative AI and Large Language Models (LLMs)
- Experience with microservices, containers, and Kubernetes
- Knowledge of Infrastructure as Code (IaC)
- Experience with DevOps practices 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
Datamatics Technologies Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Datamatics Technologies and has not been reviewed or approved by Datamatics Technologies.
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Flexible Benefits — Feedback suggests flexible timings and work-from-home options are available in some roles. This flexibility is highlighted as part of the employment experience across certain postings and materials.
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Wellbeing & Lifestyle Benefits — Feedback suggests flexibility around time off and remote work supports work-life balance. These elements can help offset leaner cash components for some individuals.
Datamatics Technologies Insights
What We Do
Datamatics Technologies (DMT) was established in Dubai. We specialize in providing onsite and offshore professional services, covering the full spectrum of Data Analytics and Data Science domains. Our experience of working with diverse industry sectors such as Telecoms, Finance, Government and Manufacturing, across multiple regions enables us to engage and deliver for our clients with confidence. We can offer our full portfolio of services through resource augmentation, managed services, both on T&M or fixed price financial arrangements. Through our end-to-end managed services offering we enable our clients to cut down costs, increase profitability and focus on value addition to their core business activities. Our project and delivery management team are certified in Agile, PMI and ITIL to ensure the planning and execution are carried out using industry best practices. We are working with our clients across Middle East and Africa Region.
