Require a Implementation Engineer in Nairobi , Kenya

Cross-functional collaboration

• Partner with Solutions Engineers, Product Managers, and Delivery teams to co-design scalable and innovative solutions for clients.
  
• Manage stakeholder relationships and communications seamlessly across teams.
  

Technical leadership and deep expertise

• Serve as a trusted technical advisor with in-depth knowledge of CloudFactory's platform and the AI/ML data ecosystem.
  
• Lead complex deployments and integrations, considering scalability, security, observability, and long-term maintainability.
  

Infrastructure and workflow orchestration management

• Design, manage, and optimize infrastructure across major cloud providers, such as AWS, GCP, and Azure, with a strong focus on reliability, scalability, and cost-efficiency.
  
• Deploy and maintain data pipelines and orchestration frameworks using tools such as Prefect.
  
• Ensure end-to-end monitoring, security compliance, and operational readiness.
  

Customer-centric problem solving

• Work closely with customers and solutions engineers to uncover underlying challenges and design tailored, high-impact solutions.
  
• Balance technical feasibility with business value while navigating ambiguity.
  

Solution architecture and delivery

• Architect and implement sophisticated technical workflows, custom integrations, and automation that meet functional and non-functional requirements.
  
• Drive delivery of implementation projects with minimal supervision.
  

Mentorship and thought leadership

• Mentor and guide junior and mid-level engineers.
  
• Lead knowledge-sharing initiatives, influence best practices, and contribute to the technical growth of the team.
  

Innovation and continuous improvement

• Identify opportunities for technical and process improvements.
  
• Propose and implement innovative approaches that elevate CloudFactory's implementation methodologies and technology offerings.
  

Scalable impact

• Contribute to internal tooling, frameworks, and documentation to ensure the scalability and repeatability of customer implementations.
  
• Enhance automation and deployment pipelines to improve operational efficiency.

• Strong software development background with proficiency in Python.
  
• Extensive experience managing cloud infrastructure across AWS, GCP, and Azure, including deploying and maintaining AI/ML services and APIs.
  
• Proficiency with workflow orchestration tools, particularly Prefect.
  
• Proven ability to architect and scale reliable, secure cloud-native solutions with logging, monitoring, and alerting best practices.
  
• Track record of solving complex technical problems and delivering enterprise-scale implementations.
  
• Demonstrated ability to lead cross-functional initiatives and influence decision-making.
  
• Experience mentoring peers and driving technical excellence across teams.
  
• Excellent verbal and written communication skills, capable of influencing and negotiating with technical and non-technical audiences.
  
• Strong analytical thinking and a global problem-solving mindset.
  

Academic and professional requirements

• Bachelor's degree in Computer Science, Engineering, or a related field with at least 8 years of relevant experience, or a Master's degree with 6+ years of experience, or a PhD with 3+ years of experience in a related field.