JOB SUMMARY

Required/minimum qualificationsBachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.Good understanding of cloud platforms such as Azure, AWS, or GCP.PProficiency with AI-assisted development tools (e.g., GitHub Copilot, IntelliCode).

RESPONSIBILITIES

Own and operate highly scalable, reliable, and low-latency distributed systems that power mission-critical workloads.Design and implement features that enable configuration management, monitoring, analytics, and observability for modern cloud applications.Drive integration with other Azure services to deliver seamless customer experiences.Write high-quality, well-tested code and own the DevOps lifecycle, including monitoring, alerting, and incident response.Integrate AI-assisted development tools to improve engineering productivity and code quality.Contribute to AI-enhanced features using technologies such as large language models (LLMs), Model Context Protocol (MCP) servers, and retrieval-augmented generation (RAG).Mentor others and share knowledge to improve team capabilities and engineering practice

REQUIRED SKILLS

Software architecture, DevOps, Testing and debugging, Database administration, Programming, Basic computer maintenance

REQUIRED EDUCATION

Bachelor's degree

COUNTRY: Kenya

• Own and operate highly scalable, reliable, and low-latency distributed systems that power mission-critical workloads.
• Design and implement features that enable configuration management, monitoring, analytics, and observability for modern cloud applications.
• Drive integration with other Azure services to deliver seamless customer experiences.
• Write high-quality, well-tested code and own the DevOps lifecycle, including monitoring, alerting, and incident response.
• Integrate AI-assisted development tools to improve engineering productivity and code quality.
• Contribute to AI-enhanced features using technologies such as large language models (LLMs), Model Context Protocol (MCP) servers, and retrieval-augmented generation (RAG).
• Mentor others and share knowledge to improve team capabilities and engineering practice

• Software architecture
• DevOps
• Testing and debugging
• Database administration
• Programming
• Basic computer maintenance

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• Good understanding of cloud platforms such as Azure, AWS, or GCP.
• Proficiency with AI-assisted development tools (e.g., GitHub Copilot, IntelliCode).