Summary
Since beginning his work in DevOps and cloud technologies, Jonathan has built a set of varied skills centered around automation and “everything-as-code”. He has often been called upon to design, implement, and support cloud-based architectures while also developing delivery pipelines for the code that runs on that infrastructure. Jonathan’s strengths lie in a thorough knowledge of cloud architecture, an understanding of development, testing, and deployment strategies for containerized microservices, his experience codifying infrastructure, and his ingenuity in enabling application migrations to various cloud platforms. He is most in his element when closely collaborating with a small, dedicated team of developers and engineers while helping to ensure best practices for infrastructure-as-code, configuration management, and version control.
Certifications
Skills & Proficiencies
Amazon Web Services
Microsoft Azure
Google Cloud Platform
JenkinsCI
Harness
GitLab
GitHub Actions
Docker
Kubernetes
Helm
Datadog
Dynatrace
Terraform
Powershell
Bash
Python
Ruby
Golang
Git
Chef
SaltStack
Ansible
Experience
- Took part in a Cost Optimization initiative, resulting in a reduction of approximately $3 million dollars in monthly spend
- Automated deployment and provisioning of EC2-backed SQL instances
- Automated the auditing process for thousands of EC2 instances across multiple AWS accounts
- Automated the deployment of security and monitoring agents to EC2 instances in production environments
- Created a custom Terraform provider to create and maintain third-party resources used by mission-critical applications
- Helped migrate monitoring and alerting from AWS CloudWatch to Datadog
- Worked on implementing CI/CD pipelines via GitHub Actions
- Created Terraform modules to be used by teams across the organization
- Supported development teams with data migrations in MongoDB Atlas and new service deployments
- Managed code delivery and permissions for containerized AI training built on AWS SageMaker and Lambda
- Helped improve functionality of delivery pipelines for AWS Lambda-based microservices
- Created documentation and standards for managing multiple Jenkins instances
- Participated in technical deep-dives with customers to help validate and scope potential engagements
- Dissected and documented existing applications deployed to both physical data centers and AWS
- Created and executed a plan for migrating an existing containerized application to dedicated AWS infrastructure via Terraform and Drone
- Improved automation for the deployment of new infrastructure and web applications via Terraform and Jenkins
- Upgraded and reimplemented configuration management in Ansible for servers hosting mission critical applications and services
- Implemented infrastructure for multiple environments in AWS ECS+Fargate and EKS using Terraform
- Designed and managed user and inter-service access to Kubernetes-backed microservices via NGINX Ingress Controller
- Created charts using Helm 3 to deploy microservices to Kubernetes
- Managed GitLab repositories and corresponding CI/CD pipelines for each service
- Worked with development teams to standardize versioning strategy and define testing strategies
- Eliminated messy and error-prone Bash scripting via Terraform and Ansible to deploy dynamic lab environments for five to fifteen participants, including a bastion host with individual users authenticated to dedicated Kubernetes clusters in GCP
- Instructed week-long labs focused on utilizing the Dynatrace product and the data it collected to enhance and automate development lifecycles and enable auto-remediation and advanced deployments in production-like environments
- Went on-site with clients as a Dynatrace and DevOps SME to discover issues and bottlenecks within their development process, help optimize monitoring using the Dynatrace product, and scope work for ongoing engagements
- Worked with clients to create well-defined quality gates and integrate the Dynatrace product into their larger testing and automation strategies using platforms such as JenkinsCI, Azure DevOps, and Octopus Deploy.
- Helped develop the Autonomous Cloud Enablement practice as part of Dynatrace professional services
- Engaged potential clients during the sales process to judge eligibility and help scope possible work and requirements
- Conducted AWS Well-Architected Reviews
- Validated statements of work and began sprint planning once signed
- Designed and documented proposed architectures for AWS or Azure
- Defined state for instances and VMs using configuration manage tools such as SaltStack and Chef
- Created and managed cloud infrastructures using AWS CloudFormation or Terraform
- Automated code integration, testing, and deployment using Jenkins Pipelines and custom library
- Enabled client development teams to easily deploy on-demand environments using tools and services such as Vagrant, Packer, and AWS ElasticBeanstalk
- Successfully migrated client applications to AWS while meeting compliance requirements such as PCI, HIPAA, and SOC2
- Ensured timely support for various client infrastructures and applications by working with SREs on the Managed Support team to quickly troubleshoot and correct issues as they occurred
- Managed variable case load, including escalations and long-running data migrations
- Remotely administered multiple Linux boxes in the field via SSH
- Solved issues ranging from hardware failures (RAID arrays, motherboards, etc) to networking issues and misconfiguration
- Corresponded with customers via email and phone to successfully close tickets
- Worked with development and engineering teams to identify bugs in firmware versions