03/17/2026 updated
100 % available
DevOps Engineer - Cloud Infrastructure & Automation Specialist
Lugbe-Abuja, Nigeria
Worldwide
BSc (Hons) EconomicsAmazon Web ServicesAmazon Elastic Compute CloudAmazon S3Data AnalysisAutomationBash ShellCloud ComputingConfiguration ManagementDatabasesContinuous IntegrationSecurity ControlsDevOpsAmazon DynamoDBGitHubSystem Monitor
AWS Cloud Infrastructure
Expert in designing, automating, and scaling highly available cloud infrastructure using AWS services including API Gateway, DynamoDB, Aurora Serverless, EKS, Fargate, Lambda, EC2, S3
CI/CD Pipeline Management
Proficient in AWS CodePipeline, containerization, Infrastructure as Code using Terraform and CloudFormation, with proven track record of reducing deployment times by up to 80%
System Monitoring and Reliability
Experienced in Kubernetes monitoring, system reliability improvement to 99.99% uptime, and automated security controls implementation
Container Technologies
Docker and Kubernetes expertise for containerization and orchestration
Automation Tools
Ansible and Jenkins for deployment automation and configuration management
Version Control Systems
Git, GitHub, CodeCommit for source code management and collaboration
Database Management
MySQL Workbench, Flyway, RDS, and various database technologies
Programming Languages
Bash, Python, SQL for scripting and automation tasks
Data Analysis Tools
SQL, Excel, Python for data analysis and Power BI for dashboard creation
Cloud Monitoring
ArgoCD, SonarQube, CloudWatch, New Relic for system monitoring and performance optimization
Expert in designing, automating, and scaling highly available cloud infrastructure using AWS services including API Gateway, DynamoDB, Aurora Serverless, EKS, Fargate, Lambda, EC2, S3
CI/CD Pipeline Management
Proficient in AWS CodePipeline, containerization, Infrastructure as Code using Terraform and CloudFormation, with proven track record of reducing deployment times by up to 80%
System Monitoring and Reliability
Experienced in Kubernetes monitoring, system reliability improvement to 99.99% uptime, and automated security controls implementation
Container Technologies
Docker and Kubernetes expertise for containerization and orchestration
Automation Tools
Ansible and Jenkins for deployment automation and configuration management
Version Control Systems
Git, GitHub, CodeCommit for source code management and collaboration
Database Management
MySQL Workbench, Flyway, RDS, and various database technologies
Programming Languages
Bash, Python, SQL for scripting and automation tasks
Data Analysis Tools
SQL, Excel, Python for data analysis and Power BI for dashboard creation
Cloud Monitoring
ArgoCD, SonarQube, CloudWatch, New Relic for system monitoring and performance optimization
Project history
Design and implement cloud-native event-driven architectures utilizing AWS services. Automate deployment processes and monitoring systems. Implement security controls and collaborate with cross-functional teams for cloud solutions.
Provided Tier 2 & Tier 3 cloud support for production workloads on AWS. Supported EC2, S3, RDS, IAM, VPC, Load Balancers, and Auto Scaling Groups. Diagnosed networking and performance issues, reducing incident resolution time by 60%.
Analyzed large datasets using SQL, Excel, and Python. Built and maintained Power BI dashboards. Conducted exploratory data analysis and automated reporting workflows to reduce manual effort and turnaround time.