Emerging Technology Services Engineer
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Key skills for this role
About the Role
Datamatics Technologies seeks an experienced Emerging Technology Services Engineer with 6-11 years of experience to drive innovation initiatives, evaluate emerging technologies, and develop AI/ML proof-of-concepts.
Key Skills for This Role
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
Requirements
- 6 11 years of professional experience in software engineering, cloud technologies, AI/ML, or emerging technology initiatives
- Bachelor's degree in Computer Science, Software Engineering, Information Technology, or related field
- Hands on experience with AI/ML PoC development
- Strong experience with cloud native exploration and solution development on AWS, Azure, or GCP
- Strong experience in automation and orchestration using modern enterprise tools and scripting frameworks
- Excellent communication and stakeholder management skills
- Experience working in Agile/Scrum environments
Full Job Posting
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.
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 Skills
- Artificial Intelligence & Machine Learning: Hands on experience with AI/ML PoC development; experience with machine learning model development, evaluation, and deployment; familiarity with Generative AI, LLMs, and AI frameworks preferred
- Cloud & Cloud Native Technologies: Strong experience with cloud native exploration and solution development; hands on experience with AWS, Azure, or GCP; experience with microservices, containers, and Kubernetes 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 with innovation labs, R&D, or digital tra
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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