Owolade Sobowale, Developer in Baltimore, MD, United States
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Owolade Sobowale

Verified Expert  in Engineering

DevOps Engineer and Developer

Baltimore, MD, United States

Toptal member since December 8, 2021

Bio

Lade is an enthusiast and advocate of everything DevOps, with over nine years of experience in the DevOps space. He has worked with startups and big corporations. As a subject matter expert in Terraform and AWS services, he holds all AWS associate certifications. Lade has a solid background in networking and automating everything.

Portfolio

ID.me
Terraform, Docker, Nomad, DevOps, Google Cloud Platform (GCP), AWS DevOps...
JumpCloud
Amazon EKS, Amazon Elastic Container Registry (ECR), Kubernetes, SaltStack...
Sycomp
Google Cloud Platform (GCP), AWS IoT, IBM Cloud, Azure...

Experience

  • Networking - 10 years
  • Linux - 9 years
  • Bash - 9 years
  • Amazon Web Services (AWS) - 7 years
  • Jenkins - 7 years
  • Ansible - 6 years
  • Python - 5 years
  • Terraform - 5 years

Availability

Full-time

Preferred Environment

Linux, Amazon Web Services (AWS), Terraform, Ansible, Python, Bash, Jenkins, Git, Docker, Networking

The most amazing...

...project I've undertaken is re-architecting an organization's Terraform infrastructure, resulting in a substantial reduction in system deployment time.

Work Experience

DevOps Engineer

2024 - 2025
ID.me
  • Automated infrastructure provisioning and configuration management in GCP, leveraging Terraform and Bash scripting, reducing infrastructure setup time by 60%, and ensuring consistency across cloud environments.
  • Designed and implemented a fully automated CI/CD pipeline in GCP for a new application, reducing manual intervention by 80% and integrating infrastructure provisioning, application builds, automated testing, and deployments.
  • Deployed and optimized Nomad clusters in GCP, improving workload scheduling efficiency by reducing resource contention by 35%, fine-tuning job placement strategies, and ensuring better resource utilization within GCP infrastructure.
  • Refactored Nomad deployment strategies, improving service discovery, auto-scaling, and failover handling, leading to a 25% reduction in downtime and smoother rolling updates.
  • Optimized Docker builds, reducing build times by 40% by restructuring Dockerfiles, leveraging multi-stage builds, improving layer caching, and minimizing image sizes.
  • Enhanced GitHub Actions workflows, decreasing CI/CD pipeline execution time by 30%, optimizing caching strategies, implementing parallel job execution, and refining dependency management.
  • Streamlined Harness deployments, improving deployment reliability by reducing deployment failures by 50%, automating rollback procedures, and refining pipeline configurations for faster releases.
Technologies: Terraform, Docker, Nomad, DevOps, Google Cloud Platform (GCP), AWS DevOps, Cloud Architecture, Enterprise Architecture, Infrastructure, Large-scale Production Deployments, GitOps, Infrastructure Security

Senior Cloud Operations Engineer

2023 - 2024
JumpCloud
  • Led the transformation of AWS and GCP infrastructure, taking full ownership of Terraform and migrating 400+ workspaces to Terraform Cloud, streamlining operations and enhancing scalability across multi-cloud environments.
  • Pioneered the establishment of EKS infrastructure and successfully migrated the platform from Nomad to EKS, driving enhanced scalability and resource utilization.
  • Managed EKS clusters with ArgoCD and Argo Rollouts for efficient GitOps-driven deployment and progressive delivery. Leveraged Argo products to automate and optimize application rollouts, ensuring seamless operations and scalability.
  • Revamped the CI platform by spearheading the transition from Travis CI and CircleCI to GitHub Actions, optimizing workflow efficiency and enhancing development processes.
  • Implemented robust Datadog database performance monitoring for Amazon RDS/PostgreSQL databases, empowering developers with comprehensive insights into application performance and facilitating proactive troubleshooting.
  • Demonstrated expertise in configuring and managing a suite of AWS services, including EC2, RDS, VPC, S3, CloudWatch, CloudFront, AWS Lambda functions, and Route 53, to ensure optimal performance and reliability.
  • Deployed and managed EC2 instances expertly, utilizing SaltStack, Jinja2, and Consul Template.
  • Developed Python and bash scripts to automate service deployment, streamline onboarding processes, and expedite the setup of new developer environments, significantly reducing time to market.
  • Implemented robust monitoring and alerting mechanisms for critical services, seamlessly integrating alerts with Datadog, PagerDuty, and Slack for swift incident response and resolution.
  • Communicated infrastructure improvements effectively through engaging presentations and demos to the engineering organization, garnering buy-in and driving the adoption of best practices and innovations.
Technologies: Amazon EKS, Amazon Elastic Container Registry (ECR), Kubernetes, SaltStack, PagerDuty, Nomad, Terraform, Python, Bash, GitHub, Docker, Crossplane, CircleCI, Travis CI, AWS Lambda, Architecture, Snowflake, Serverless, Helm, Go, Virtualization, Google Cloud Platform (GCP), AWS DevOps, Cloud Architecture, Enterprise Architecture, Infrastructure, Large-scale Production Deployments, GitOps, Argo CD, Infrastructure Security

Senior Cloud Engineer

2022 - 2023
Sycomp
  • Developed a multi-cloud Terraform infrastructure for high-performance computing. Led the creation of a scalable, optimized infrastructure across GCP, AWS, Azure, and IBM Cloud, enabling efficient cross-platform HPC workloads and resource management.
  • Automated infrastructure provisioning. Streamlined the deployment and configuration of virtual and bare metal servers across GCP, AWS, Azure, and IBM Cloud.
  • Leveraged Python, Bash, Terraform, and Bicep to automate environment provisioning, onboarding, and deployments in multiple clouds.
  • Developed modules in Google HPC Toolkit that leveraged Slurm for automatic storage system provisioning, enabling seamless integration, optimized resource allocation, and improved scalability for high-performance computing (HPC) workloads in GCP.
  • Developed a CI/CD pipeline in GitLab CI/CD for automated testing and artifact provisioning, optimizing job orchestration, caching, and parallel execution to improve build speed, artifact management, and deployment efficiency across environments.
  • Led team mentorship programs, conducted presentations on cloud infrastructure advancements, and facilitated best practices in GCP, AWS, Azure, and IBM Cloud.
Technologies: Google Cloud Platform (GCP), AWS IoT, IBM Cloud, Azure, High-performance Computing (HPC), Terraform, Python, Bash, GitLab CI/CD, Linux, Bicep, Azure Kubernetes Service (AKS), GitOps, Infrastructure Security

Cloud Infrastructure Engineer

2022 - 2022
Notarize
  • Architected and built a multi-environment AWS ECS cluster using Terraform.
  • Migrated all microservice containers from Heroku to AWS ECS.
  • Configured Telegraf to run inside containers in AWS ECS, collect application logs, and ship to AWS CloudWatch. Designed Datadog dashboards to inject the application logs from CloudWatch.
  • Wrote bash scripts to enable SSM running on AWS ECS containers.
  • Configured Sumo Logic to collect the AWS ECS container logs.
  • Wrote Terraform configurations and modules to manage the organization's GitHub repositories. Imported all existing repositories into Terraform to be managed through Terraform.
Technologies: CI/CD Pipelines, DevOps, Amazon Web Services (AWS), Docker, Jenkins, Containers, Terraform, Amazon EKS, CircleCI, New Relic, Kubernetes, Azure, Heroku, Datadog, Redis, PostgreSQL, Elasticsearch, NoSQL, Sumo Logic, Telegraf, Amazon Elastic Container Service (ECS), Microservices, Infrastructure as Code (IaC), Serverless Architecture, Amazon CloudWatch, Resource Management, Cloud Services, Architecture, Snowflake, Serverless, Helm, Scalable Architecture, Virtualization, AWS DevOps, Cloud Architecture, Enterprise Architecture, Infrastructure, Large-scale Production Deployments, Cloud Migration, Infrastructure Security

Site Reliability Engineer

2017 - 2022
SparkPost
  • Configured and managed a diverse suite of AWS services expertly, such as EC2, RDS, VPC, S3, CloudWatch, CloudFront, and Route 53, ensuring high availability and performance.
  • Orchestrated continuous integration and continuous deployment (CI/CD) pipelines using Jenkins, CirceCI, Git, AWS ECS, EKS, and Docker, enabling rapid and reliable software delivery.
  • Implemented robust automation strategies using Python and Bash scripting to orchestrate deployments, environment provisioning, and service configurations, enhancing operational efficiency.
  • Applied site reliability engineering (SRE) principles to improve system reliability, scalability, and performance, including error budgeting, service level indicators (SLIs), and service level objectives (SLOs).
  • Established a comprehensive monitoring and alerting ecosystem, integrating Datadog alongside PagerDuty, Opsgenie, and Slack to proactively identify and address operational issues, ensuring seamless service delivery while adhering to SLAs and SLOs.
  • Managed incident response and resolution processes effectively through PagerDuty, coordinating cross-functional teams and escalating critical issues promptly to minimize downtime and mitigate risks.
  • Conducted blameless post-incident reviews (PIRs) to identify root causes of outages and implemented preventive measures to enhance system resilience and stability.
  • Developed internal tooling in Python and Go templating to enable developers to automate repetitive tasks and enhance development productivity.
  • Collaborated closely with development teams to design and implement developer-friendly tooling, facilitating smooth software development lifecycle and deployment processes.
  • Provided mentorship and guidance to junior team members, fostering their professional growth and development in site reliability engineering practices.
Technologies: Amazon Web Services (AWS), Python, Terraform, Jenkins, GitHub, Continuous Delivery (CD), Continuous Deployment, Amazon EKS, Nomad, CI/CD Pipelines, Bash, Kubernetes, Vault, Vagrant, Ansible, SaltStack, Datadog, PagerDuty, Amazon RDS, DevOps, Infrastructure as Code (IaC), REST APIs, Serverless Architecture, REST, Amazon CloudWatch, Linux Server Administration, Resource Management, Unix, Cloud Services, Site Reliability Engineering (SRE), Node.js, VPN, Proxies, Architecture, Serverless, Helm, Scalable Architecture, Virtualization, AWS DevOps, Cloud Architecture, Enterprise Architecture, Infrastructure

DevOps Engineer

2015 - 2017
Center for Advanced Transportation Technology (CATT Lab)
  • Worked on infrastructure development on AWS using various services like EC2, S3, RDS, Route 53, CloudFormation, CloudWatch, IAM, and VPC.
  • Utilized CloudWatch to monitor resources such as EC2, CPU memory, Amazon RDS DB Services, and EBS volumes.
  • Configured Jenkins to automate the build deployments based on the changes captured in Version Control.
  • Gained knowledge in Ansible playbook, YAML for maintaining roles, inventory files, and groups variables.
  • Configured various performance metrics using AWS CloudWatch and CloudTrail.
  • Used Git for branching, tagging, and maintenance of version control and source code management.
Technologies: Amazon Web Services (AWS), Jenkins, Ansible, Bash, Python, Continuous Delivery (CD), Continuous Deployment, DevOps, Infrastructure as Code (IaC), AWS CloudFormation, Amazon CloudWatch, Linux Server Administration, Resource Management, Unix, Cloud Services, VPN, Architecture, Serverless, Scalable Architecture, Virtualization, AWS DevOps, Cloud Architecture, Infrastructure

Solutions Architect

2011 - 2014
Intertel
  • Automated and managed AWS infrastructure and deployment processes, including production, testing, and development environments.
  • Worked on automation continuous integration and continuous delivery pipeline processes for multiple projects using GitHub, Jenkins, Maven, Artifactory, and Docker.
  • Configured and managed Elastic Load Balancing (ELB) for fault tolerance and to avoid single point of failure of applications, providing high availability.
  • Implemented identity and access management solutions for infrastructure and applications, to ensure that appropriate access controls are in place and applied effectively and continuously.
  • Managed and automated all aspects of our AWS infrastructure, including compute, storage, network, permissions, and cost using shell scripts and configuration management tools like Ansible.
Technologies: Amazon Web Services (AWS), Jenkins, Bash, Ansible, Docker, Continuous Delivery (CD), Continuous Deployment, DevOps, Infrastructure as Code (IaC), AWS CloudFormation, Amazon CloudWatch, Linux Server Administration, Resource Management, Unix, Cloud Services, Cloud Architecture, Infrastructure

Experience

Terraform Architecture for Nike

The project involved the Terraform infrastructure for Nike's core ERP systems across all business units worldwide. I took ownership and re-architected the Terraform infrastructure automation, which resulted in reducing the deployment of parallel systems from 2-3 days to less than an hour. This Terraform architecture deploys and manages thousands of virtual machines in AWS and Azure.

Container Migration from Heroku to AWS ECS

http://www.notarize.com
I architected and built a multi-environment AWS ECS cluster using Terraform and migrated all microservice containers from Heroku to AWS ECS. Furthermore, I configured the application logging using Telegraf, AWS CloudWatch, and Datadog and the container logging in sumo logic.

Cloud Infrastructure and Pipeline for an Email Analytics Company

A web-based application for an email analytics company. I designed and built the cloud network infrastructure, the global database cluster, replication across multiple regions, and the CI/CD pipeline using GitHub Actions and ECS clusters.

Migration from Nomad to EKS

CONTRIBUTIONS
• Led the migration from HashiCorp Nomad to Amazon EKS, enabling a scalable and Kubernetes-native orchestration platform.
• Utilized Kustomize and Helm charts to manage Kubernetes manifests efficiently, ensuring modular, reusable, and environment-specific configurations.
• Implemented ArgoCD for GitOps-based continuous delivery and Argo Rollouts for progressive deployments such as canary and blue-green strategies.
• Automated infrastructure provisioning with Terraform, optimizing cluster setup and application deployments.
• Enhanced observability by integrating Datadog for monitoring, providing real-time insights into application performance and cluster health.
• Addressed networking and security challenges with AWS VPC CNI and IAM roles for service accounts, ensuring a secure and resilient migration.

The transition minimized downtime, improved DevOps efficiency, and modernized deployment workflows.

Education

2014 - 2016

Master's Degree in Telecommunications and Networking

Stratford University - Falls Church, VA, USA

2007 - 2011

Bachelor's Degree in Computer Engineering

Babcock University - Nigeria

Certifications

FEBRUARY 2023 - PRESENT

Certified Kubernetes Application Developer

Cloud Native Computing Foundation

MAY 2021 - PRESENT

Certified Jenkins Engineer

Jenkins Project

APRIL 2021 - APRIL 2023

HashiCorp Certified: Terraform Associate

Hashicorp

MARCH 2021 - MARCH 2024

AWS Certified SysOps Administrator

Amazon Web Services

JANUARY 2021 - JANUARY 2024

AWS Certified Developer

Amazon Web Services

JUNE 2020 - JUNE 2023

AWS Certified Solutions Architect Associate

AWS

NOVEMBER 2015 - MAY 2022

Cisco Certified Network Associate (Security)

Cisco

DECEMBER 2012 - MAY 2022

Cisco Certified Network Associate

Cisco

Skills

Libraries/APIs

Node.js, REST APIs

Tools

Git, Terraform, GitHub, Amazon EKS, Amazon CloudWatch, VPN, Helm, Ansible, Jenkins, Amazon Elastic Container Service (ECS), Azure Kubernetes Service (AKS), CircleCI, Sumo Logic, Telegraf, Puppet, Vault, Vagrant, SaltStack, AWS CloudFormation, Travis CI, AWS IAM, Amazon Elastic Container Registry (ECR), GitLab CI/CD, Kustomize

Frameworks

Crossplane

Paradigms

Continuous Delivery (CD), Continuous Deployment, DevOps, Serverless Architecture, Microservices, REST, High-performance Computing (HPC)

Platforms

Amazon Web Services (AWS), Docker, Kubernetes, Azure, Google Cloud Platform (GCP), Linux, Unix, New Relic, Heroku, PagerDuty, AWS Lambda, AWS IoT

Languages

A+, HTML, Snowflake, Python, Bash, Java, Go, Bicep

Industry Expertise

Network Security

Storage

Datadog, Redis, PostgreSQL, Elasticsearch, NoSQL, Amazon Aurora

Other

Networking, Cloud, CI/CD Pipelines, Nomad, Infrastructure as Code (IaC), Resource Management, Cloud Services, Architecture, Serverless, Scalable Architecture, Virtualization, AWS DevOps, Cloud Architecture, Enterprise Architecture, Infrastructure, Large-scale Production Deployments, Cloud Migration, GitOps, Argo CD, Infrastructure Security, Cisco, Linux Server Administration, Site Reliability Engineering (SRE), Proxies, Containers, Amazon RDS, IBM Cloud, GitHub Actions, Consul

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