08/07/2025 updated
100 % available
Cloud & DevOps Engineer with AWS, Terraform and Kubernetes expertise
Bristol, United Kingdom
Worldwide
Master of Computer ApplicationsTesting (Software)Amazon Web ServicesJIRABash ShellCloud ComputingDatabasesContinuous IntegrationDevOpsGithubIdentity ManagementInfrastructure ManagementPython (Programming Language)Machine LearningProject ManagementPrometheusSQL DatabasesPostmanGrafanaBoto3Amazon Virtual Private Cloud (VPC)GitlabGitCloudformationContainerizationKubernetesDeployment AutomationMachine Learning OperationsSafety PrinciplesTerraformSoftware Version ControlDockerJenkinsProgramming Languages
AWS Cloud Infrastructure
Expertise in AWS services including EKS, IAM, VPC, and CloudFormation for building scalable and secure cloud environments.
CI/CD & Containerization
Advanced implementation of Jenkins, GitHub Actions, Docker, and Kubernetes for automated deployment pipelines.
Infrastructure as Code
Proficient with Terraform for automating infrastructure provisioning, reducing manual setup time by over 70%.
Security & Observability
Implementation of AWS WAF, Amazon GuardDuty, Prometheus, and Grafana for comprehensive security monitoring and threat detection.
Programming Languages
Python development with frameworks like Boto3, Streamlit, and LangChain, plus Bash scripting and SQL for database operations.
DevOps Tools
Utilization of Git, GitHub, GitLab, JIRA, and Postman for version control, project management, and API testing.
Machine Learning Operations
Creation of end-to-end MLOps pipelines for automating training, evaluation, and containerization of machine learning models.
Expertise in AWS services including EKS, IAM, VPC, and CloudFormation for building scalable and secure cloud environments.
CI/CD & Containerization
Advanced implementation of Jenkins, GitHub Actions, Docker, and Kubernetes for automated deployment pipelines.
Infrastructure as Code
Proficient with Terraform for automating infrastructure provisioning, reducing manual setup time by over 70%.
Security & Observability
Implementation of AWS WAF, Amazon GuardDuty, Prometheus, and Grafana for comprehensive security monitoring and threat detection.
Programming Languages
Python development with frameworks like Boto3, Streamlit, and LangChain, plus Bash scripting and SQL for database operations.
DevOps Tools
Utilization of Git, GitHub, GitLab, JIRA, and Postman for version control, project management, and API testing.
Machine Learning Operations
Creation of end-to-end MLOps pipelines for automating training, evaluation, and containerization of machine learning models.
Languages
EnglishFluent
Project history
Developed an innovative tool that translates plain English requests into production-ready Terraform and Kubernetes code using an LLM, a custom Python backend, and a Streamlit UI.
Built a repeatable, end-to-end MLOps pipeline to automate the training, evaluation, and containerization of multiple machine learning models.
Engineered automated CI/CD pipelines, led cloud migration from Azure to AWS, strengthened security, and modernized core business services using Docker and Kubernetes.