Jun 2024 – Apr 2025 · 10 mos · Dublin, County Dublin, Ireland

• Designed and deployed scalable cloud infrastructures on AWS and Azure using Terraform, automating provisioning with Ansible and Set up and optimized Google Cloud.
• Migrated on-premises databases to AWS RDS, improving disaster recovery and reducing costs.
• Administered Kubernetes clusters (AWS EKS, Azure AKS), optimized deployments with Helm charts, and automated scaling.
• Deployed Redis clusters for caching, reducing latency and enhancing application performance.
• Automated CI/CD pipelines with Jenkins, GitHub Actions, and Azure DevOps, integrating security tools for vulnerability management.
• Enhanced security by implementing IAM policies, MFA, SAST/DAST scans, and compliance measures (SOC2, GDPR).
• Configured monitoring solutions (Prometheus, Grafana, ELK), reducing MTTR by 35%.
• Streamlined network provisioning, VPN setups, switch, router, wireless and firewall configurations, ensuring secure connectivity.
• Managed Linux and Windows servers, automating tasks with PowerShell and improving system reliability.
• Optimized Microsoft 365 environments, enhancing collaboration and securing data with DLP and MFA.
• Administered Linux-based environments, including user management, disk partitioning, and system monitoring.
• Configured networking services, including DNS, DHCP, and VPNs, ensuring secure and reliable connectivity.
• Managed and configured DNS, SSL/TLS certificates, domain registration & Integrated SSO and MFA for enhanced security.
• Managed and optimized Linux servers (Ubuntu, CentOS, RHEL) for application deployment and web hosting.
• Automated CI/CD pipelines using Jenkins, GitHub Actions, Azure DevOps, & AWS CodePipeline for .NET Core, Java, and Python applications.
• Enhanced security posture by configuring IAM policies, Multi-Factor Authentication (MFA), & encryption mechanisms.
• Conducted SOC1/SOC2 audits, implemented controls to address compliance gaps, & ensured GDPR compliance.
• Deployed & managed Keycloak on Kubernetes.

Sep 2023 – May 2024 · 8 mos · Remote

• As a versatile DevOps Engineer, I specialize in optimizing cloud infrastructure and streamlining CI/CD processes to drive operational excellence and innovation.
• Key Responsibilities & Achievements:
• Kubernetes Expertise: Troubleshooted and resolved Kubernetes issues to ensure seamless application operation and high availability.
• Database Management: Designed and implemented robust database backup plans to guarantee data integrity & availability.
• Cloud Optimization: Advised teams on AWS resource utilization, optimizing cloud infrastructure for performance & cost-efficiency.
• Infrastructure as Code: Created and managed AWS resources for startups using Terraform, facilitating smooth cloud transitions.
• CI/CD Pipeline Implementation: Developed and maintained CI/CD pipelines with Jenkins, GitLab CI, & GitHub Actions, automating build, test, and deployment processes to enhance software delivery.
• Monitoring & Logging: Deployed & managed ELK stack (Elasticsearch, Logstash, Kibana) and configured alert systems for centralized logging, real-time monitoring, & issue resolution.
• Cloud Cluster Management: Set up and managed Kubernetes clusters on AWS EKS and Google Kubernetes Engine (GKE), ensuring scalability, high availability, & resilience for microservices.
• Automated Provisioning: Automated infrastructure provisioning and management with Terraform, creating reusable modules and managing state with Terraform Cloud & AWS S3.
• Continuous Monitoring: Configured monitoring solutions using Prometheus, Grafana, & the ELK stack to provide clients with actionable insights & real-time alerts.
• Implemented SLI-based observability metrics for CPU utilization, request latency, and error rates using Prometheus and Grafana dashboards.
• Defined SLOs and SLAs in collaboration with development and operations teams to ensure measurable service reliability goals.
• Monitored Error Budgets to inform change management policies — reducing post-release incidents by 25%.

Jan 2021 – Jan 2023 · 2 yrs

• As a DevOps Engineer, I enhance system performance, reliability, and automation. My expertise in cloud infrastructure, Kubernetes, and Linux administration delivers high availability and operational efficiency.
• I set up automated monitoring and failover systems using Prometheus and Grafana, minimizing downtime. Using Terraform for Infrastructure as Code (IaC), I streamline AWS resource management.
• In AWS, I configure server clusters, load balancers, and Auto Scaling policies to ensure optimal performance. My Kubernetes skills ensure application scalability and reliability, while Docker enables seamless container deployments.
• I optimize Linux servers, automate tasks, and troubleshoot network issues for smooth operations. I enhance CI/CD pipelines with Jenkins, GitLab CI, and Kubernetes, driving continuous improvement.
• Implementing Istio service mesh improves microservices communication and security. I manage AWS IAM, ensuring secure access and automating SSL/TLS management. Python scripts on AWS Lambda and Ansible automation enhance performance and consistency.
• Ensuring optimal network performance involves monitoring CPU and memory usage and resolving connectivity issues.
• Collaboration on GitHub streamlines workflows and version control. I stay updated with CI/CD technologies, introducing tools like Terraform and Kubernetes to drive improvements.
• Regular Linux backups ensure data integrity and quick recovery. I ensure network performance by monitoring and resolving connectivity issues. Security testing and compliance monitoring are integrated into the CI/CD pipeline.
• Implemented SLI-based observability metrics for CPU utilization, request latency, and error rates using Prometheus and Grafana dashboards.
• Defined SLOs and SLAs in collaboration with development and operations teams to ensure measurable service reliability goals.
• Monitored Error Budgets to inform change management policies — reducing post-release incidents by 25%.

Jan 2017 – Jan 2020 · 3 yrs

• Designed and implemented AWS-based infrastructure and environments, ensuring high availability, fault tolerance, and scalability.
• Utilized AWS services such as EC2 and CloudFormation to build and manage infrastructure as code.
• Implemented Jenkins pipelines for automated CI/CD deployment of applications to servers and containers.
• Configured Jenkins jobs to trigger Maven builds for artifact creation and version management.
• Automated application deployment and scaling processes using AWS CodePipeline and AWS CodeDeploy.
• Integrated Jenkins with version control systems (e.g., Git) to automatically trigger builds on code commits.
• Utilized Jenkins plugins to deploy artifacts to different servers using SSH connections.
• Worked closely with development teams to optimize application performance and monitor application health using AWS CloudWatch.
• Developed custom Jenkins pipeline scripts for specific deployment requirements and integrations.
• Utilized Ansible for infrastructure configuration management and application deployment to different servers.
• Created Ansible playbooks for automating the deployment of applications, ensuring consistency across servers.
• Managed server configurations and deployments using Ansible roles and templates.
• Automated the provisioning of AWS resources using Ansible and AWS CloudFormation.
• Collaborated with cross-functional teams to ensure smooth deployment using Ansible.