Jalil Seidu
Verified Expert in Engineering
Infrastructure Engineer and Developer
Tokyo, Japan
Toptal member since March 16, 2026
Jalil is a cloud and DevOps infrastructure engineer specializing in Kubernetes platforms, Terraform automation, and multi-cloud environments across Google Cloud, AWS, and Azure. He has built and operated large-scale infrastructure supporting GPU-accelerated machine learning workloads, CI/CD platforms, and highly scalable cloud systems that improve reliability, performance, and deployment speed.
Portfolio
Experience
- Kubenetes - 10 years
- Terraform - 10 years
- Docker - 10 years
- Helm - 8 years
- Argo CD - 5 years
- Ansible - 5 years
- GitHub Actions - 4 years
- NVIDIA CUDA - 2 years
Preferred Environment
Linux, Kubenetes, Docker, Terraform, Google Cloud Platform (GCP), Azure, Helm, GitHub Actions, GitLab CI/CD, Argo CD
The most amazing...
...work I've done is design and deploy Kubernetes infrastructure on Google Cloud using Terraform, cutting costs by 30% while improving deployment reliability.
Work Experience
DevOps & Server Engineer – GPUOD
Rakuten
- Integrated CI/CD pipelines using GitHub Actions and containerization with Docker into machine learning workflows.
- Operated and optimized Kubernetes clusters for GPU-accelerated machine learning workloads, ensuring scalability, reliability, and security.
- Optimized deep learning training efficiency by fine-tuning NVIDIA CUDA kernels and implementing Multi-Instance GPU (MIG) profiles, maximizing hardware utilization across shared enterprise clusters.
- Maintained internal tooling and comprehensive documentation for machine learning infrastructure and best practices.
- Architected and managed production-grade OpenShift clusters, leveraging the NVIDIA GPU Operator to automate driver lifecycle management and ensure high availability for mission-critical AI services.
DevOps Engineer - Kubernetes/Openshift Ecosystem
DreamWorks Animation
- Introduced Terraform and converted Puppet manifests to Ansible roles, reducing build time by 60% for DreamWorks Animation Nova clients on OpenStack.
- Maintained the team’s OpenShift platform to support and run applications dependent on highly available and highly scalable infrastructure.
- Implemented centralized logging and monitoring with Splunk, enabling faster troubleshooting and improved operational visibility across OpenShift infrastructure.
Senior Cloud Engineer
dv01
- Designed and deployed scalable Kubernetes clusters on Google Cloud using Terraform and Helm, reducing infrastructure costs by 30%.
- Collaborated with cross-functional teams to optimize cloud architecture for performance and cost-efficiency, increasing application performance by 25%.
- Built, managed, supported, and improved tools for continuous integration, automated performance and stress testing, and release management.
Senior DevOps Engineer
Omise
- Planned, designed, and implemented the successful migration of workloads from AWS to Google Cloud, reducing operational costs by 20%.
- Constructed Docker containers to break up monolithic apps into microservices, optimizing developer workflow, increasing scalability, and improving speed.
- Managed Linux infrastructure for payment processing systems and successfully supported annual PCI DSS audits, ensuring compliance with security standards through system hardening, monitoring, and access control.
Experience
InferScale – Scalable AI Inference Infrastructure Platform
https://inferscale.netlify.app/Certifications
GCP Associate Cloud Engineer
Google Cloud
GCP Professional Cloud Architect
Google Cloud
Skills
Libraries/APIs
Node.js
Tools
Terraform, Helm, GitLab CI/CD, Google Kubernetes Engine (GKE), Ansible, Azure DevOps Services, Grafana
Platforms
Google Cloud Platform (GCP), Kubernetes, Linux, Docker, Azure, AWS IoT, OpenShift, OpenStack, Amazon EC2, Amazon Web Services (AWS), NVIDIA CUDA, Cloud Run
Languages
Python, Bash, TypeScript
Paradigms
DevOps, Azure DevOps, Continuous Delivery (CD), Continuous Integration (CI)
Storage
PostgreSQL, Redis, Google Cloud SQL, MongoDB
Other
Kubenetes, GitHub Actions, Argo CD, GPU Computing, Flux CD, GCP DevOps, CI/CD Pipelines, Prometheus, Infrastructure as Code (IaC), Linux Administration, Artificial Intelligence (AI), Containers, Computer Engineering, Cloud Storage, Cloud Load Balancing, Compute Architecture, Storage architecture decisions, Network architecture design, Deploying applications on Google Cloud, Managing virtual machines, Deploying containerized applications
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