Emmanuel is currently unavailable
Emmanuel Owoeye
Verified Expert in Engineering
DevOps Engineer and Developer
Calgary, AB, Canada
Toptal member since May 21, 2025
Bio
Emmanuel is a DevOps and cloud engineer with 8+ years of experience across healthcare, real estate, and manufacturing sectors. He specializes in multicloud environments and containerization, transforming legacy systems into scalable microservices architectures. Emmanuel has implemented CI/CD pipelines that reduced deployment times by 45% and operational costs by 30%. His expertise in monitoring solutions ensures 99.9% uptime while maintaining compliance with PCI-DSS, HIPAA, and ISO standards
Portfolio
Tours by Locals
Jenkins, GitHub, Git, GitOps, Shell, Groovy, Apache Maven, SonarQube, Nexus...
Self-employed
Git, SonarQube, Google Cloud Platform (GCP), Azure, Terraform, Cloud, Docker...
Launchcode
Pulumi, JavaScript, Linux, Python, Static Application Security Testing (SAST)...
Experience
- Git - 17 years
- Linux - 12 years
- Kubernetes - 9 years
- Docker - 9 years
- Amazon Web Services (AWS) - 9 years
- Cloud - 9 years
- Terraform - 8 years
- Karpenter - 4 years
Work Experience
Senior DevOps Engineer
2023 - 2025
Tours by Locals
- Achieved ELITE DORA metrics: multiple daily deployments, less than one hour lead time and restore time, and 0-15% change failure rate.
- Integrated AI-driven code review, reducing code review time by 35% while maintaining high standards.
- Oversaw 100+ containerized applications, maintaining 99.99% availability and enabling zero-downtime scaling.
- Fostered a culture of continuous improvement and operational excellence through automation, comprehensive testing, and streamlined incident response.
- Enhanced data pipelines and integration, supporting analytics and business intelligence initiatives.
- Developed and maintained secure, compliant environments, passing regulatory audits (PCI-DSS, HIPAA, SOC 2, ISO 27001).
- Reduced deployment time by 35% and ensured 99.9% build reliability through robust CI/CD pipelines.
- Streamlined project approval time by 20% by creating and approving functional/design specifications.
- Automated incident detection and remediation, reducing downtime by 30%.
- Built and deployed Power Apps to automate internal business processes.
Technologies: Jenkins, GitHub, Git, GitOps, Shell, Groovy, Apache Maven, SonarQube, Nexus, Docker, Kubernetes, AWS CloudFormation, Terraform, Datadog, New Relic, ELK (Elastic Stack), Prometheus, Grafana, PostgreSQL, SQL, Apache Kafka, Redis, HIPAA Compliance, ISO 27001, NGINX, Looker, Data Build Tool (dbt), Fivetran, Google BigQuery, Cloud Infrastructure, Infrastructure as Code (IaC), Data Pipelines, Machine Learning Operations (MLOps), Amazon EKS, Healthcare, Amazon Linux, ECS, Networking, MySQL, Backup & Recovery, n8n, IT Security, AWS Key Management Service (KMS), Security, AWS Lambda, API Gateways, APIs, Full-stack, Amazon Simple Queue Service (SQS), TypeScript, Dashboards, Observability Tools, Webhooks, Slack, REST APIs, PagerDuty, Python, Monitoring, AWS CodeCommit, AWS CodePipeline, AWS DevOps, AWS Elastic Beanstalk, Amazon EC2, Springbot, DevOps, Content Delivery Networks (CDN), Rust, Bash Script, Cloud Monitoring, AWS Fargate, Cloud Architecture, Architecture, Generative Artificial Intelligence (GenAI), Solution Architecture, Azure Kubernetes Service (AKS), Google Kubernetes Engine (GKE), Identity & Access Management (IAM), Multitenancy, GitLab CI/CD, Elasticsearch, Terraform Cloud, Palo Alto Networks, NAT, DHCP, Cloud Networking
DevOps & Site Reliability Engineer
2020 - 2025
Self-employed
- Implemented robust CI/CD pipelines using GitHub, Jenkins, and Kubernetes, reducing deployment time by 45% and ensuring 99.9% build reliability while achieving elite DORA metrics performance across 100+ containerized applications.
- Migrated legacy monolithic applications to a containerized microservices architecture, reducing infrastructure costs by 30% and achieving 40% faster release cycles and zero-downtime scaling for critical business applications.
- Automated cloud infrastructure provisioning with Terraform and Ansible across AWS, Azure, and GCP environments, improving deployment efficiency by 50% while maintaining strict compliance with PCI-DSS, HIPAA, and ISO 27001 standards.
Technologies: Git, SonarQube, Google Cloud Platform (GCP), Azure, Terraform, Cloud, Docker, Kubernetes, Linux, Windows, Python, MongoDB, JavaScript, Static Application Security Testing (SAST), Bash, Java, Amazon Web Services (AWS), Grafana, Prometheus, GitHub, Artificial Intelligence (AI), Kubernetes Event-driven Autoscaler (KEDA), Autoscaling, Datadog, Splunk, Site Reliability Engineering (SRE), CI/CD Pipelines, DevOps, Infrastructure, GitHub Actions, HAProxy, Helm, Shell Scripting, Cloud Computing, GPU Computing, Cloud Infrastructure, Infrastructure as Code (IaC), Data Pipelines, Amazon EKS, Healthcare, Amazon Linux, ECS, Networking, MySQL, Backup & Recovery, n8n, IT Security, AWS Key Management Service (KMS), AWS CloudFormation, Security, AWS Lambda, API Gateways, APIs, Full-stack, Amazon Simple Queue Service (SQS), TypeScript, Dashboards, Observability Tools, Webhooks, Slack, REST APIs, PagerDuty, SQL, Monitoring, AWS CodeCommit, AWS CodePipeline, AWS DevOps, AWS Elastic Beanstalk, Amazon EC2, Springbot, Content Delivery Networks (CDN), Rust, Bash Script, Cloud Monitoring, AWS Fargate, Cloud Architecture, Architecture, Generative Artificial Intelligence (GenAI), Solution Architecture, Azure Kubernetes Service (AKS), Windows PowerShell, Google Kubernetes Engine (GKE), Identity & Access Management (IAM), Multitenancy, GitLab CI/CD, Elasticsearch, Terraform Cloud, Palo Alto Networks, NAT, DHCP, Cloud Networking
DevOps Engineer
2023 - 2023
Launchcode
- Enhanced existing infrastructure-as-code with Pulumi and AWS CloudFormation, streamlining provisioning processes by 25% and improving system reliability across multicloud environments while maintaining PCI-DSS and ISO 27001 compliance standards.
- Built and optimized CI/CD pipelines on GitLab using TypeScript and Python, accelerating release cycles by 40% and reducing integration errors by 20% for business-critical applications.
- Diagnosed and resolved Kubernetes production errors using Lens and custom monitoring solutions, reducing downtime by 30% and ensuring high availability across Azure, GCP, and AWS environments.
Technologies: Pulumi, JavaScript, Linux, Python, Static Application Security Testing (SAST), Bash, Docker, Kubernetes, Terraform, Cloud, Git, Windows, MongoDB, PostgreSQL, SonarQube, Java, Amazon Web Services (AWS), Grafana, Prometheus, GitHub, Kubernetes Event-driven Autoscaler (KEDA), Autoscaling, Datadog, Site Reliability Engineering (SRE), CI/CD Pipelines, DevOps, Infrastructure, GitHub Actions, HAProxy, Helm, Shell Scripting, Cloud Computing, GPU Computing, Cloud Infrastructure, Infrastructure as Code (IaC), Data Pipelines, Amazon EKS, Healthcare, Amazon Linux, ECS, Networking, MySQL, Backup & Recovery, IT Security, AWS Key Management Service (KMS), AWS CloudFormation, Security, AWS Lambda, API Gateways, APIs, Full-stack, Amazon Simple Queue Service (SQS), TypeScript, Dashboards, Observability Tools, Webhooks, Slack, REST APIs, PagerDuty, SQL, Monitoring, AWS CodeCommit, AWS CodePipeline, AWS DevOps, AWS Elastic Beanstalk, Amazon EC2, Springbot, Machine Learning, Content Delivery Networks (CDN), Rust, Bash Script, Cloud Monitoring, AWS Fargate, Cloud Architecture, Architecture, Generative Artificial Intelligence (GenAI), Solution Architecture, Azure Kubernetes Service (AKS), Windows PowerShell, Google Kubernetes Engine (GKE), Identity & Access Management (IAM), Multitenancy, GitLab CI/CD, Elasticsearch, Terraform Cloud, NAT, DHCP, Cloud Networking
DevOps Engineer
2016 - 2019
Oxdit Technologies
- Led the migration from virtualized environments to containerized microservices using Docker and Kubernetes, reducing deployment time by 45% and infrastructure costs by 20% while supporting Java-based projects with Spring Boot and React.
- Automated cloud infrastructure provisioning and configuration using Terraform, Chef, and Ansible, improving deployment efficiency by 50% and eliminating manual configuration errors across multiple environments.
- Implemented centralized log management and visualization with ELK and Datadog, enabling real-time insights and reducing issue resolution time by 40% for production systems while maintaining high availability requirements.
Technologies: Docker, Kubernetes, Java, Git, Jenkins, Ansible, Redis, Apache Kafka, Terraform, Cloud, Linux, Windows, Python, PostgreSQL, SonarQube, JavaScript, Static Application Security Testing (SAST), Bash, Amazon Web Services (AWS), Grafana, Prometheus, GitHub, Kubernetes Event-driven Autoscaler (KEDA), Autoscaling, Splunk, CI/CD Pipelines, DevOps, Infrastructure, GitHub Actions, HAProxy, Helm, Shell Scripting, Cloud Computing, GPU Computing, Cloud Infrastructure, Infrastructure as Code (IaC), Data Pipelines, Amazon EKS, Healthcare, Amazon Linux, ECS, Networking, Backup & Recovery, IT Security, AWS Key Management Service (KMS), AWS CloudFormation, Security, AWS Lambda, API Gateways, APIs, Full-stack, Amazon Simple Queue Service (SQS), TypeScript, Observability Tools, Webhooks, Slack, REST APIs, SQL, Monitoring, AWS CodeCommit, AWS CodePipeline, AWS DevOps, AWS Elastic Beanstalk, Amazon EC2, Springbot, Machine Learning, Content Delivery Networks (CDN), Rust, Bash Script, Cloud Monitoring, AWS Fargate, Cloud Architecture, Architecture, Solution Architecture, Azure Kubernetes Service (AKS), Google Kubernetes Engine (GKE), Identity & Access Management (IAM), Multitenancy, GitLab CI/CD, Elasticsearch, Terraform Cloud, NAT, DHCP, Cloud Networking
Project History
Monolithic to Microservices Migration
Led a comprehensive migration initiative transforming legacy monolithic applications into cloud-native microservices across AWS, GCP, and Azure environments. This complex project involved breaking down tightly coupled components, implementing containerization with Docker, and orchestrating services using Kubernetes. I designed the new architecture following domain-driven design principles to ensure optimal service boundaries and implemented service discovery using API gateways.
The migration strategy utilized a strangler pattern approach, gradually replacing monolithic functions with microservices while maintaining system stability. To support the new architecture, I developed automated CI/CD pipelines with Jenkins, integrated comprehensive monitoring with Prometheus and Grafana, and implemented distributed tracing with Jaeger to maintain observability across services.
The project delivered remarkable outcomes, reducing infrastructure costs by 30% through more efficient resource utilization, improving system scalability with auto-scaling capabilities that handled 300% traffic spikes without performance degradation, and enabling independent service deployment, which decreased release cycles from weeks to days.
The migration strategy utilized a strangler pattern approach, gradually replacing monolithic functions with microservices while maintaining system stability. To support the new architecture, I developed automated CI/CD pipelines with Jenkins, integrated comprehensive monitoring with Prometheus and Grafana, and implemented distributed tracing with Jaeger to maintain observability across services.
The project delivered remarkable outcomes, reducing infrastructure costs by 30% through more efficient resource utilization, improving system scalability with auto-scaling capabilities that handled 300% traffic spikes without performance degradation, and enabling independent service deployment, which decreased release cycles from weeks to days.
Cloud-native Microservices Migration and CI/CD Automation
CONTRIBUTIONS
• Led the end-to-end migration of a legacy monolithic application to a scalable microservices architecture using Docker and Kubernetes, deployed across AWS, Azure, and GCP.
• Designed and implemented robust CI/CD pipelines with Jenkins, GitHub, and CircleCI, automating build, test, and deployment processes.
• Leveraged Terraform and Ansible for infrastructure provisioning and configuration management, ensuring rapid, repeatable, and secure environment setup.
• Integrated advanced monitoring and logging using Grafana, Prometheus, ELK, and Datadog, achieving 99.9% application availability and reducing deployment time by 35%.
• Oversaw incident management and root cause analysis, developed runbooks, and established zero-downtime deployment strategies (blue/green, canary).
• Drove DORA ELITE performance metrics: multiple daily deployments, <1 hour lead time, <1 hour time to restore, and <15% change failure rate.
• Ensured security and compliance (PCI-DSS, HIPAA, ISO 27001) by embedding SAST (SonarQube) and automated security audits into pipelines.
• Led the end-to-end migration of a legacy monolithic application to a scalable microservices architecture using Docker and Kubernetes, deployed across AWS, Azure, and GCP.
• Designed and implemented robust CI/CD pipelines with Jenkins, GitHub, and CircleCI, automating build, test, and deployment processes.
• Leveraged Terraform and Ansible for infrastructure provisioning and configuration management, ensuring rapid, repeatable, and secure environment setup.
• Integrated advanced monitoring and logging using Grafana, Prometheus, ELK, and Datadog, achieving 99.9% application availability and reducing deployment time by 35%.
• Oversaw incident management and root cause analysis, developed runbooks, and established zero-downtime deployment strategies (blue/green, canary).
• Drove DORA ELITE performance metrics: multiple daily deployments, <1 hour lead time, <1 hour time to restore, and <15% change failure rate.
• Ensured security and compliance (PCI-DSS, HIPAA, ISO 27001) by embedding SAST (SonarQube) and automated security audits into pipelines.
Automated Disaster Recovery and High Availability Platform
CONTRIBUTIONS
• Architected and implemented a fully automated disaster recovery solution for mission-critical applications hosted in a hybrid cloud environment.
• Utilized Terraform and AWS CloudFormation to provision redundant infrastructure across multiple regions, with automated failover and backup mechanisms.
• Developed Lambda-based serverless workflows to trigger regular backups, perform health checks, and orchestrate failover in the event of outages.
• Integrated monitoring with CloudWatch and New Relic to provide real-time visibility and automated alerting. This initiative reduced recovery time objectives (RTO) by 70% and ensured business continuity with minimal manual intervention.
• Collaborated with cross-functional teams to document recovery procedures, conduct regular DR drills, and ensure regulatory compliance.
• Architected and implemented a fully automated disaster recovery solution for mission-critical applications hosted in a hybrid cloud environment.
• Utilized Terraform and AWS CloudFormation to provision redundant infrastructure across multiple regions, with automated failover and backup mechanisms.
• Developed Lambda-based serverless workflows to trigger regular backups, perform health checks, and orchestrate failover in the event of outages.
• Integrated monitoring with CloudWatch and New Relic to provide real-time visibility and automated alerting. This initiative reduced recovery time objectives (RTO) by 70% and ensured business continuity with minimal manual intervention.
• Collaborated with cross-functional teams to document recovery procedures, conduct regular DR drills, and ensure regulatory compliance.
Security-integrated DevOps Pipeline for Regulated Environments
CONTRIBUTIONS
• Designed and deployed a security-first DevOps pipeline for applications subject to strict regulatory requirements (PCI-DSS, HIPAA, ISO 27001).
• Integrated SonarQube for static code analysis, OpenVAS for automated vulnerability scanning, and implemented policy-as-code with tools like Sentinel. • Automated compliance reporting and remediation workflows, presenting actionable security insights to both technical and non-technical stakeholders.
• Achieved a 40% reduction in production vulnerabilities and passed multiple external audits with zero critical findings.
• Provided ongoing training and best practices to development teams, fostering a culture of security and compliance throughout the SDLC.
• Designed and deployed a security-first DevOps pipeline for applications subject to strict regulatory requirements (PCI-DSS, HIPAA, ISO 27001).
• Integrated SonarQube for static code analysis, OpenVAS for automated vulnerability scanning, and implemented policy-as-code with tools like Sentinel. • Automated compliance reporting and remediation workflows, presenting actionable security insights to both technical and non-technical stakeholders.
• Achieved a 40% reduction in production vulnerabilities and passed multiple external audits with zero critical findings.
• Provided ongoing training and best practices to development teams, fostering a culture of security and compliance throughout the SDLC.
Multi-cloud Infrastructure as Code (IaC) Platform
CONTRIBUTIONS
• Spearheaded the development of a unified IaC platform managing resources across AWS, Azure, and GCP using Terraform.
• Built reusable modules for networking, compute, and storage, enabling rapid provisioning and consistent configuration across environments.
• Automated state management, implemented secret management with Vault, and integrated cost optimization tools.
• Provided technical leadership and mentorship, establishing best practices for version control, code reviews, and automated testing of IaC code.
This project accelerated environment setup times by 50% and reduced cloud spend by 20% through optimized resource allocation.
• Spearheaded the development of a unified IaC platform managing resources across AWS, Azure, and GCP using Terraform.
• Built reusable modules for networking, compute, and storage, enabling rapid provisioning and consistent configuration across environments.
• Automated state management, implemented secret management with Vault, and integrated cost optimization tools.
• Provided technical leadership and mentorship, establishing best practices for version control, code reviews, and automated testing of IaC code.
This project accelerated environment setup times by 50% and reduced cloud spend by 20% through optimized resource allocation.
Skills
Libraries/APIs
REST APIs
Tools
Terraform, Git, SonarQube, Jenkins, AWS Command Line Interface (CLI), Grafana, GitHub, GitLab, Helm, AWS CloudFormation, GitLab CI/CD, Amazon EKS, AWS Key Management Service (KMS), Amazon Simple Queue Service (SQS), Observability Tools, Slack, AWS CodeCommit, AWS Fargate, Azure Kubernetes Service (AKS), Google Kubernetes Engine (GKE), Ansible, Splunk, n8n, ELK (Elastic Stack), Amazon CloudWatch, SailPoint, Vault, Shell, Apache Maven, NGINX, Looker
Languages
Python, TypeScript, Bash Script, JavaScript, Bash, Java, SQL, Rust, Go, Groovy
Frameworks
Windows PowerShell
Paradigms
DevOps, Security Orchestration, Automation, and Response (SOAR), Automation, HIPAA Compliance
Platforms
Docker, Kubernetes, Linux, Windows, Azure, Amazon Web Services (AWS), AWS Lambda, Amazon EC2, Amazon Linux, PagerDuty, AWS Elastic Beanstalk, Google Cloud Platform (GCP), Apache Kafka, Nexus, New Relic
Storage
Datadog, MySQL, Elasticsearch, MongoDB, PostgreSQL, Redis, Data Pipelines, Amazon S3 (AWS S3), Google Cloud
Industry Expertise
Healthcare
Other
Cloud, Static Application Security Testing (SAST), Prometheus, Karpenter, Kubernetes Event-driven Autoscaler (KEDA), Autoscaling, Site Reliability Engineering (SRE), CI/CD Pipelines, Infrastructure, GitHub Actions, HAProxy, Shell Scripting, Cloud Computing, GPU Computing, Terraform Cloud, Infrastructure as Code (IaC), Monitoring, Security, Cloud Infrastructure, ECS, Networking, Backup & Recovery, IT Security, API Gateways, Dashboards, Webhooks, AWS CodePipeline, AWS DevOps, Springbot, Content Delivery Networks (CDN), Cloud Monitoring, Cloud Architecture, Architecture, Generative Artificial Intelligence (GenAI), Solution Architecture, Identity & Access Management (IAM), Multitenancy, NAT, DHCP, Cloud Networking, Pulumi, Artificial Intelligence (AI), Machine Learning Operations (MLOps), APIs, Full-stack, Machine Learning, Palo Alto Networks, Security Compliance, Disaster Recovery Automation, Monitoring & Alerting, Incident Management, Security Automation, Audit Reporting, GitOps, Cost Reduction & Optimization (Cost-down), ISO 27001, Data Build Tool (dbt), Fivetran, Google BigQuery
Collaboration That Works
How to Work with Toptal
Toptal matches you directly with global industry experts from our network in hours—not weeks or months.
1
Share your needs
Discuss your requirements and refine your scope in a call with a Toptal domain expert.
2
Choose your talent
Get a short list of expertly matched talent within 24 hours to review, interview, and choose from.
3
Start your risk-free talent trial
Work with your chosen talent on a trial basis for up to two weeks. Pay only if you decide to hire them.
Top talent is in high demand.
Start hiring