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Jerome-Mathew Ngoh

Cloud DevOps Engineer, Linux Administrator, Cloud Engineer, AI Automation Engineer, Tech Enthusiast

About Me

Results-driven Cloud DevOps Engineer with over 4 years of experience designing CI/CD pipelines, scalable Kubernetes systems, and high-reliability cloud infrastructure for microservices. Strong background in AWS ECS/EKS, Terraform, Observability stacks, and modern DevOps culture. Passionate about automation, performance, and resilient systems at scale.

Skills

CI/CD Automation

95%

Version Control

90%

Build & Package Management

85%

Configuration Management

92%

Cloud

94%

Scripting

88%

Containerization

93%

Infrastructure as Code

91%

Monitoring & Optimization

89%

Database

86%

Security Management

90%

Experience

LEAD CLOUD DEVOPS ENGINEER (Remote)

InnovateIQ, a global company that provides Cloud Solutions across various industries | November 2023 to May 2025 (1 year 7 months)

  • Led a high-performing DevOps team of 3 engineers, improving workflow clarity and cross-functional alignment through weekly stand-ups, backlog reviews, and structured sprint planning.
  • Collaborated closely with the Head of Technical Operations to resolve deployment bottlenecks and infrastructure issues, significantly reducing service downtime and improving release reliability.
  • Designed and implemented scalable CI/CD pipelines for multiple microservices, increasing deployment efficiency by 40% and minimizing human errors across the software delivery lifecycle.
  • Defined and tracked SLIs/SLOs across critical microservices, improving reliability and creating measurable operational KPIs for engineering teams.
  • Reduced infrastructure costs by migrating legacy on-premise systems to AWS, leveraging EC2, ECS, Fargate, and S3 to improve scalability and resource utilization.
  • Authored and maintained reusable Terraform modules for provisioning cloud infrastructure, enabling repeatable, secure, and efficient environment setups across projects.
  • Conducted preventive and corrective maintenance for production systems, ensuring stability, reliability, and uptime.
  • Implemented automated quality gates in CI/CD (SonarQube, API tests, coverage checks), preventing up to 90% faulty builds from reaching staging and reducing post-release issues by 40%.
  • Introduced container-based local development environments using Docker, improving developer experience and reducing post-deployment bugs.
  • Established centralized logging and monitoring using Prometheus and Grafana, providing real-time observability and proactive incident response.
  • Performed incident response, root-cause analysis, and supported hotfix/rollback procedures.
  • Managed domain configurations and routing via AWS Route 53, increasing system reliability and simplifying access to critical services.
  • Actively mentored junior DevOps engineers, promoted internal learning through SkillForged workshops, and fostered a strong DevOps culture within the engineering team.
  • Developed Python/Bash automation scripts for performance testing and deployment validation, cutting verification time from hours to minutes and increasing release confidence by 40%.
DEVOPS ENGINEER (Remote)

QR-Momo — Project for a Payment Web Application | August 2023 – April 2024 (1 Year)

  • Designed and maintained CI/CD pipelines (Jenkins, GitHub Actions) for build automation, testing and deployment, increasing overall deployment speed by 30%.
  • Automated deployments with Ansible and Bash, reducing cycles and improving reliability.
  • Troubleshot and resolved build/deployment issues quickly, reducing downtime by 45% across application microservices.
  • Implemented security, compliance and cost optimization practices across infrastructure and pipelines, reducing security vulnerabilities by 70% and infrastructure expenditures by 30%.
  • Integrated ArgoCD for seamless pull-based deployments and real-time monitoring.
  • Performed bug triage, regression testing, and validated release stability for high-traffic payment services.
  • Collaborated with development teams to plan, deploy and administer microservices running on AWS infrastructure.
  • Managed and optimized AWS Infrastructure (EC2, ECS, EKS, S3, CloudWatch, IAM, CloudFront) for scalability and cost efficiency.
  • Handled customer-reported issues, performed root-cause analysis, and provided timely fixes across microservices.
  • Improved CI/CD safety by integrating automated checks, service health validation, and rollback workflows.
DEVOPS ENGINEER INTERN (Remote)

Primus Cloud Solutions — Creates and Maintains Cloud Solutions for companies | Apr 2022 - Jul 2023 (1 year 4 months)

  • Developed and maintained CI/CD pipelines using Jenkins, integrating with GitHub and SonarQube to ensure high code quality and faster, more reliable software delivery.
  • Played a key role in migrating on-premise infrastructure to AWS (EC2, S3, IAM), cutting operational costs by 30% and enabling better scalability for future projects.
  • Automated microservice deployments with Docker and Kubernetes, configuring multi-replica setups to ensure high availability and auto-scaling, reducing downtime by 40%.
  • Created and maintained Ansible playbooks for provisioning cloud environments and deploying backend services, improving environment consistency across staging and production.
  • Gained hands-on experience analyzing system metrics and logs to support early reliability improvements.
  • Worked with PostgreSQL and MySQL for test environments and deployments.
  • Assisted customer teams in resolving CI/CD, deployment, and cloud infrastructure challenges.
  • Assisted in writing and executing backend/API tests in staging environments.
  • Integrated Prometheus and Grafana for system monitoring, setting up alerting rules and dashboards that enabled early detection of performance anomalies.
Projects
  • Preview Environment - DevOps — GitHub Actions, Docker, Kubernetes, Linux
    • Built an end-to-end CI/CD pipeline which deploys to Docker and Kubernetes upon code push or pull request.
    • Reduced time spent in code testing by 85% through instant testing and reduced environment collisions by 73% by providing isolated preview environments.
  • MergeGuard - DevOps — GitHub Actions, Python, SonarQube, Slack
    • Automation script that runs code analysis and parses results to Slack via API integrations upon pull request events.
    • Implemented quality gates (tests + SonarQube checks) that validated PR readiness automatically, reducing bugs by up to 55% and reducing testing time by ~70% (to ~2 minutes).

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