Oluwaseun Ajileye

• Use terraform as code to provision infrastructure environment on AWS, Improved deployment process
within AWS, and developed application features.
• Setup repos for Git, merging code from develop branch to master branch to make it ready for
deployment.
• Design and implement CICD pipeline with Jenkins, integrate various tools, like Git, maven, java,
SonarQube, etc
• Integrated GitHub with Jenkins and scheduled Cron jobs periodically using poll SCM and wrote CI/CD
pipeline in Groovy scripts to enable automation of build and deployment using Jenkins.
• Assist in scaling infrastructure using DevOps best practices.
• Automate deployment to staging environment before manually deploying to production.
• Monitoring of servers using CloudWatch to ensure no downtime in application.
• Responsible for build and deployment automation using AWS, Docker Containers, Kubernetes.
• Build and maintain observability and alerting across application and infrastructure
• Automation of manual tasks using scripting like Bash, YAML
• Identify bottlenecks in the development process and implement solutions
• Work with developers to optimize applications for performance and scale
• Administer AWS resources and provide guidance on utilization
• Ensure we are releasing code safely, securely and frequently
• Investigate and adopt new technologies/tools as needs arise

• Active participant in scrum meetings, reporting the progress and maintain effective communication with each team member and manager.

Environment: AWS, Linux, Java, Maven, SonarQube, Jfrog, Jenkins, Shell scripting, Docker, Ansible, Kubernetes

• Worked in Amazon management console to create and administer Users, Groups, Account Policies, Roles
on IAM
• Manually created EC2, Security Groups, Autoscaling Groups, Application Load Balancers, Launch
Templates, etc.
• Used Management Console to install requisite infrastructure such as S3 bucket, RDS, Route53 for CI/CD
deployment.
• Bootstrapped and initiated SSH connection that installed and managed services on Linux EC2: Apache
Tomcat, HTTPD
• Set up Life Cycle Policies for creation of new snapshots, deletion of old snapshots, to move data from S3
to Glacier, etc.
• Defined CIDR blocks, public subnets, private subnets, bastion host, IGW, Route Tables, to build VPC from
scratch
• Installed & configured IGW, Route Tables for public facing subnets and NAT for private-facing subnets on
AWS VPCs.
• Architected and implemented cloud solution for data migration from On-Prem to AWS Cloud.
• Provided engineering support towards the successful delivery of cloud project portfolio
• Configured and managed AWS Services including EC2, RDS, VPC, S3, Glacier, CloudFront, and Route 53
• Gained understanding of SQS, SNS, API Gateway, Kinesis and Cognito cloud services
• Implemented Security best practices at Instance, Subnet and VPC levels to secure cloud infrastructure
• Focused on attainment of high-availability, fault tolerance, and auto scaling using AWS CloudFormation.
• Assigned EIP, configured Health Checks, deployed RDS across multiple AZs for High Availability
Architecture
• Created virtual private cloud, VPC on AWS that supports DEV, TEST, and PROD environments.
• Configured NACL inbound and outbound rules to achieve network layer security on VPC.

• Monitored the ON Premises servers and servers on the hosted services continuously to detect and investigate the problems before any Impact on the business
• Created and configured instances in CISCO OpenStack private cloud
• Launched AWS infrastructure various services such as EC2, S3, SQS, ELB, Security Group, Auto Scaling and RDS using Cloud Formation templates
• Created Cloud Formation templates to run applications and the stack in the DevOps processes for consistent and reliable deployment methodology
• Involved in monitoring and metering for Infrastructure as a Service (IaaS) for Open stack cloud
• Developed AWS cloud formation templates and set up Auto scaling for EC2 instances
• Extensively managed Jenkins as automated process for code builds and deployments
• Improved Continuous Integration workflow using Virtual Environments like Docker
• Provided a robust service for monitoring products deploying onto the cloud
• Validated all expected KPIs, events, alerts, action, documentation and trend analysis graphs are fit for purpose for the product and infrastructure
• Detected and responded to issues affecting availability or performance of the Cloud Infrastructure
• Implementation, support, and monitoring of cloud-based infrastructure using various DevOps tools and technologies such as AWS, OpenStack, Linux, Git, Jenkins, Kubernetes, Ansible, and others.