Jonathan Nkrumah

Available to hire

I don't just manage cloud infrastructure; I solve business challenges with it.

About

I don’t just manage cloud infrastructure; I solve business challenges with it. My focus is on building systems that are not only technically sound but also strategically impactful—delivering uptime, performance, and cost-efficiency.

My core expertise, backed by my AWS Certified Solutions Architect - Associate credential, lies in designing fault-tolerant AWS and Kubernetes environments that achieve 99.99% uptime, optimizing CI/CD pipelines to slash deployment times by 40%, and implementing robust observability to cut incident resolution by 35%. I’ve architected microservices handling millions of requests and consistently reduced cloud spend by 25% through thoughtful architecture.

If you need a coachable engineer who starts with your problem, not a preset tool. Let’s connect and build something that matters.

  • Joined November 2025

Languages

  • EnglishFluent

Industry experience

  • Software & Internet
  • Professional Services
  • Energy & Utilities
  • Media & Entertainment
  • Education
  • Other

Projects · 1

The project is a cutting-edge multilingual text-to-speech and translation application powered by AWS AI services. Users can convert text into natural-sounding speech and translate text across 11 languages, breaking language barriers effortlessly. Built with a serverless, scalable architecture, this application combines translation and TTS for a seamless multilingual experience.

Here’s what makes this project special:
📌 Key Features:

  • 11-Language Support: English, French, German, Spanish, Italian, Portuguese, Japanese, Korean, Arabic, Russian, and Dutch
  • Neural Text-to-Speech: Amazon Polly integration with natural-sounding voices
  • Real-time Translation: Amazon Translate with auto language detection via Amazon Comprehend
  • Secure Authentication: Amazon Cognito (JWT) with full sign-up, email verification, and password reset
  • Responsive UI: Modern React 19 frontend with Tailwind CSS

📌 Architecture:

  • Serverless Backend: API Gateway → AWS Lambda (Python 3.9) → S3 (audio via presigned URLs)
  • Language Intelligence: Normalize locale codes and pick best-supported Neural voices; detect language with Comprehend
  • Observability: CloudWatch dashboards and custom metrics
  • Security: Cognito Advanced Security Mode, least-privilege IAM, CORS, and KMS-encrypted config

📌 Infrastructure & Delivery

  • IaC: Terraform for Cognito, API Gateway, IAM, S3, dashboards
  • CI/CD: GitHub Actions for frictionless backend packaging and frontend deploys
  • Automation: Bash scripts for Lambda packaging and S3 website updates

📌 Tech Stack:

  • Frontend: React 19, Tailwind CSS, Amazon Cognito SDK
  • Backend: AWS Lambda, Python, boto3 (Polly, Translate, Comprehend)
  • Infrastructure: Terraform, S3, CloudFront, IAM, KMS
  • AI Services: Amazon Polly, Amazon Translate, Amazon Comprehend
  • DevOps: GitHub Actions, AWS CLI

📌 Business Impact: This solution addresses real-world communication challenges by providing:

  • Instant multilingual communication for global teams
  • Accessibility features for content creators
  • Educational tools for language learning
  • Professional-grade audio generation for presentations
  • Serverless scale with minimal ops overhead

📌 Security & Scalability:

  • End-to-end encryption with AWS KMS
  • Least-privilege IAM roles and API throttling
  • Auto-scaling serverless architecture
  • Robust error handling and monitoring

Repository: https://www.twine.net/signin

Work experience

Cloud Engineer · University of Energy and Natural ResourcesJul 2025 – Jul 2025 · 1 mo

Led deployment of Traefik as a Kubernetes Ingress Controller, improving traffic routing efficiency and reducing downtime by 20%. Automated PostgreSQL deployments using FluxCD and cloudnative-pg, reducing manual intervention by 50% and accelerating rollout by 30%. Built a scalable Kubernetes cluster on AWS with Terraform and Ansible, increasing provisioning consistency by 40% and operational efficiency by 25%.

Cloud Engineer · Digilect SystemsDec 2022 – Dec 2022 · 1 mo

Implemented observability by deploying Prometheus and Grafana in Kubernetes to enable real-time monitoring and cut incident detection time by 30%. Deployed PostgreSQL using cloudnative-pg and FluxCD GitOps workflows, improving database rollout time by 40%. Co-led provisioning of scalable multi-node Kubernetes clusters on AWS, ensuring repeatable deployments and reducing errors by 25%.

Education

BSc. Information Technology · University of Energy and Natural Resources2019 – 2023
AWS Cloud Intensive Program · Azubi Africa2025

Certifications and awards

AWS Certified Solutions Architect - Associate2030 – 2025
AWS Certified Solutions Architect – Associate2030 – 2025

Hire Jonathan Nkrumah today

Post a job and invite Jonathan, or contact them directly. No hidden commission.

Post a job