Dennis Mugane

DevOps & Platform Engineer with hands-on production experience building and operating cloud-native infrastructure on AWS. Specializes in infrastructure as code (Terraform), containerization (Docker/Kubernetes), security-first CI/CD pipelines (GitHub Actions + Trivy + Semgrep), and high-concurrency fintech backend systems (Spring Boot). Experienced in bridging development and operations — writing the code, automating the infrastructure that runs it, and ensuring it deploys safely from commit to production.

Background in fintech and core banking (T24) environments with a strong track record of delivery.

Software Engineer

(2024-03)

• Designed and maintained scalable Java Spring Boot backends and RESTful APIs, improving response times through query optimization and caching strategies.
• Automated deployment workflows using GitHub Actions CI/CD pipelines, eliminating manual deployments and reducing deployment errors.
• Managed Dockerized services and cloud infrastructure across AWS and Azure, maintaining 99.9% uptime for production environments.
• Provisioned and managed cloud infrastructure as code using Terraform — EC2, RDS, S3, App Services, and networking components.
• Conducted code reviews, enforced security best practices, and maintained technical documentation for APIs and system architecture.

Implementation Engineer

(2023-09 - 2024-02)

• Led end-to-end delivery of financial statement files and client reports, achieving 100% on-time delivery across all engagements.
• Optimized heavy SQL queries for tax file generation, significantly reducing processing time for large dataset operations.
• Authored deployment and user manuals that streamlined client onboarding and reduced support requests post-implementation.
• Developed and executed test plans aligned to client requirements across the full implementation lifecycle.

Data Scientist - NLS-Tech Solutions

(2023-04 - 2023-08)

• Built a predictive call-timing model integrated with an autodialler system for debt collection optimization.
• Designed a credit scoring model for a microfinance institution using ML classification, improving salary loan evaluation accuracy.
• Developed MLOps deployment pipelines for Linux and Windows environments using Docker.

Bachelor of Economics and Statistics - Economics and Statistics - Kenyatta University (2016-05 - 2021-12)