I’m a senior software engineer with 8+ years of experience building scalable distributed systems, cloud-native applications, and modern full-stack solutions. I’ve developed reliable backend services and enterprise applications using Python, Django, Java, Kotlin, TypeScript, and React, with a strong focus on maintainability, consistent behavior, and performance at scale. I also bring deep expertise in AI-enabled platforms, including LLM integrations, Retrieval-Augmented Generation (RAG), semantic search, and AI-powered workflow automation. Across roles at organizations like Rippling, Amazon, and the National Research Council Canada, I’ve designed REST APIs, implemented service-layer business logic, improved reliability and throughput, and helped deliver production-ready systems using AWS, microservices, and robust engineering practices.

Kizito Enuma

I’m a senior software engineer with 8+ years of experience building scalable distributed systems, cloud-native applications, and modern full-stack solutions. I’ve developed reliable backend services and enterprise applications using Python, Django, Java, Kotlin, TypeScript, and React, with a strong focus on maintainability, consistent behavior, and performance at scale. I also bring deep expertise in AI-enabled platforms, including LLM integrations, Retrieval-Augmented Generation (RAG), semantic search, and AI-powered workflow automation. Across roles at organizations like Rippling, Amazon, and the National Research Council Canada, I’ve designed REST APIs, implemented service-layer business logic, improved reliability and throughput, and helped deliver production-ready systems using AWS, microservices, and robust engineering practices.

Available to hire

I’m a senior software engineer with 8+ years of experience building scalable distributed systems, cloud-native applications, and modern full-stack solutions. I’ve developed reliable backend services and enterprise applications using Python, Django, Java, Kotlin, TypeScript, and React, with a strong focus on maintainability, consistent behavior, and performance at scale.

I also bring deep expertise in AI-enabled platforms, including LLM integrations, Retrieval-Augmented Generation (RAG), semantic search, and AI-powered workflow automation. Across roles at organizations like Rippling, Amazon, and the National Research Council Canada, I’ve designed REST APIs, implemented service-layer business logic, improved reliability and throughput, and helped deliver production-ready systems using AWS, microservices, and robust engineering practices.

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Experience Level

Expert
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Intermediate
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Language

English
Fluent

Work Experience

Software Engineer at Rippling
October 1, 2024 - August 1, 2026
Built and enhanced Canada payroll and HR platforms using Python, Django, React, and MongoDB, delivering scalable functionality across payroll processing, employee management, and business workflows. Designed backend APIs and service-layer business logic for payroll and tax-related processing, emphasizing reliability, maintainability, and consistent behavior. Architected integrations connecting application services and data-processing workflows to support scalable payroll operations and customer-facing features. Contributed to AI-enabled development by integrating LLM capabilities and intelligent automation into business workflows, including RAG and LLM-based information retrieval and context-aware experiences linked to relevant business data. Improved performance and scalability via database query optimization, backend service enhancements, and more efficient data-processing patterns, and collaborated with cross-functional teams across architecture, implementation, testing, and code re
Software Developer at Amazon
January 1, 2021 - October 1, 2024
Designed and developed highly scalable backend services powering Alexa communication features, integrating with Alexa AI capabilities and supporting large-scale distributed request traffic. Architected distributed throttling and rate-limiting platforms supporting more than 100 million concurrent connections, improving service stability and traffic management using Java, Kotlin, TypeScript, AWS, and Netty. Built cloud-native microservices and backend components using Java, Python, Kotlin, TypeScript, and AWS with focus on scalability, reliability, and efficient distributed service communication. Led migration initiatives for legacy gateway services toward modern architectures to improve maintainability, operational efficiency, and long-term scalability. Designed and implemented an automated canary deployment framework that increased release safety, reduced manual device testing, and streamlined production deployment workflows. Improved service reliability and performance through asynchr
Full Stack Engineer at National Research Council Canada
April 1, 2018 - December 1, 2020
Developed full-stack applications and data-processing workflows using Python and modern web technologies to support research, analytics, and data-driven use cases. Built backend services, APIs, and application components to process and integrate research data, providing reliable foundations for analytical and machine learning workflows. Collaborated with research and technical teams to translate requirements into practical software solutions connecting data processing, application functionality, and analytical workflows. Contributed to machine learning and AI research by applying data-driven methods to real-world problems and evaluating model performance on research datasets. Designed and maintained database integrations and data workflows with emphasis on data reliability, maintainability, and efficient application access. Participated across the software development lifecycle including system design, implementation, testing, debugging, deployment, and ongoing maintenance.

Education

Bachelor's Degree in Computer Science at University of Ottawa
January 1, 2014 - January 1, 2018

Qualifications

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Industry Experience

Software & Internet, Computers & Electronics, Government, Professional Services, Financial Services