Job description

About Kasha Kasha will disrupt the way that people in emerging markets get the health products they need by turning global health supply chains upside down. We are on our way to becoming Africa’s leading platform for last-mile access to health products and services used by enterprises, consumers, resellers, and health facilities. Kasha focuses on the lower-income mass market population, selling health and household goods and delivering those products to the last mile through our Kasha Agents and logistics networks. Customers can order using an omnichannel mobile platform that is built to be highly accessible around the country, reaching even typically offline customers via our digital channels. Kasha also works with manufacturers and global health organizations, operating as a service channel for visibility on distribution, performance data, consumer insights, and last-mile access. Kasha was founded in July 2016 in Rwanda, and operates in East, South, Central, and West Africa. You can learn more about us at Kasha Global Inc. About the Role The Solution Architect ensures the practical implementation of AI, IoT, and data services by guiding engineering teams in building scalable, secure, and high-performance solutions . They drive hands-on system integration, cloud adoption, and data pipeline optimization , ensuring seamless connectivity across platforms while enforcing best practices for coding, security, and interoperability. By solving technical challenges, aligning teams, and streamlining development processes, they enable the successful delivery and deployment of AI-powered and data-driven solutions. This role holder could be based in either of the following countries: Egypt, South Africa, Rwanda or Kenya. Responsibilities Guide engineering teams in building scalable, secure, and high-performance solutions. Enable seamless AI, IoT, and data service connectivity across platforms. Optimize cloud adoption, data pipelines, and real-time analytics. Enforce best practices for coding, security, and interoperability. Address system challenges, debug issues, and optimize performance. Streamline CI/CD, automation, and DevOps for faster deployment. Drive the implementation of AI-powered and IoT-driven business solutions. Qualifications - Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related field. - Certifications (Preferred but Not Mandatory) - AWS Certified Solutions Architect – Professional, Microsoft Certified: Azure Solutions Architect Expert, Google Professional Cloud Architect, TOGAF Certification (for enterprise architecture) Experience - 8–12 years of experience in software development, cloud architecture, or solutions architecture. - At least 5+ years of experience in cloud computing, AI, IoT, or big data solutions. - Proven experience in leading engineering teams and enterprise-level system design. Knowledge - Strong expertise in AI, IoT, data engineering, and cloud architectures. - Hands-on experience with microservices, event-driven systems, and API integrations. - Proficiency in cloud platforms (AWS, Azure, GCP) and DevOps (CI/CD, automation, containerization). - Deep understanding of data pipelines, real-time analytics, and database technologies (SQL, NoSQL, Big Data). - Strong background in software development (Python, Java, Node.js, or similar) and system design. - Expertise in security best practices, compliance, and governance frameworks. - Proven experience in leading engineering teams, troubleshooting, and optimizing performance. - Ability to align technical solutions with business goals and drive execution.

Requirements

Must-haves

Guide engineering teams in building scalable, secure, and high-performance solutions.
Enable seamless AI, IoT, and data service connectivity across platforms.
Optimize cloud adoption, data pipelines, and real-time analytics.
Enforce best practices for coding, security, and interoperability.
Address system challenges, debug issues, and optimize performance.
Streamline CI/CD, automation, and DevOps for faster deployment.
Drive the implementation of AI-powered and IoT-driven business solutions.
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Technology, or a related field.
8–12 years of experience in software development, cloud architecture, or solutions architecture.
At least 5+ years of experience in cloud computing, AI, IoT, or big data solutions.
Proven experience in leading engineering teams and enterprise-level system design.
Strong expertise in AI, IoT, data engineering, and cloud architectures.
Hands-on experience with microservices, event-driven systems, and API integrations.
Proficiency in cloud platforms (AWS, Azure, GCP) and DevOps (CI/CD, automation, containerization).
Deep understanding of data pipelines, real-time analytics, and database technologies (SQL, NoSQL, Big Data).
Strong background in software development (Python, Java, Node.js, or similar) and system design.
Expertise in security best practices, compliance, and governance frameworks.
Proven experience in leading engineering teams, troubleshooting, and optimizing performance.
Ability to align technical solutions with business goals and drive execution.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdawsazureapigcpsqlpythonjavanode.js

Platform: bamboohr
Effort: medium