then this one is for you! You will be joining a culture that values autonomy, collaboration, and continuous learning! The Role Designing and evolving secure, scalable infrastructure primarily on AWS Managing EKS (Kubernetes) clusters and Docker container environments Building and maintaining CI/CD pipelines using Jenkins, GitHub Actions, and scripting in Groovy and Bash Supporting the development platform … platform security improvements Maintaining the company's CI procedures and deployment processes Using Terraform and/or CloudFormation for Infrastructure as Code Working with MySQL databases (Aurora) and other AWS services such as EC2, RDS, Lambda, ElastiCache, and DocumentDB The Person You have proven experience as a Cloud, DevOps, or Platform Engineer, ideally in a scaling or high … growth environment Deep hands-on expertise with AWS (e.g. EC2, RDS, EKS, Lambda, CloudWatch, SecretsManager, ElastiCache, DocumentDB), with experience designing secure and reliable cloud architectures. Solid understanding of Kubernetes (EKS preferred) and container orchestration Strong scripting skills - you're confident automating processes in Bash, Groovy, or similar Proficient in building and managing robust CI/CD pipelines You More ❯
Experience in working in an agile software development environment. Experience of source control (e.g., git) and issue tracking (e.g., JIRA) tools. Experience of object orientated programming principles. Experience of AWS (e.g., Lambda, Cognito, S3, DynamoDB). Demonstrated ability to share knowledge, concepts, and ideas to a wide range of people. Excellent written and verbal communication with strong interpersonal More ❯
and API testing. Familiarity with tools like Cypress, Playwright, Appium, or similar. In terms of the tech, our client works with TypeScript, Angular 18, PHP (Symfony), REST APIs, Node.js (Lambda), MySQL (Aurora), AWS, Kubernetes, Docker, with Kotlin/Java and Swift for mobile. Experience across a combination of these technologies, or a demonstrated ability to pick up new More ❯
and API testing. Familiarity with tools like Cypress, Playwright, Appium, or similar. In terms of the tech, our client works with TypeScript, Angular 18, PHP (Symfony), REST APIs, Node.js (Lambda), MySQL (Aurora), AWS, Kubernetes, Docker, with Kotlin/Java and Swift for mobile. Experience across a combination of these technologies, or a demonstrated ability to pick up new More ❯
MCS Group is seeking an AWS Cloud Infrastructure Engineer to join their innovative client, a global organisation with offices in County Louth. With multiple projects in the pipeline and a growing team, this is a fantastic opportunity for an experienced Cloud expert to join a successful team in a newly created position. As this is a senior lead role … within the organisation we are looking to speak with those who have a high level of expertise in AWS/Azure Infrastructure and can also engage with non-technical stakeholders with high quality communication skills. (5 days on-site - County Louth) The Role Engineer and maintain AWS infrastructure to a high standard Automate cloud infrastructure tasks utilising AWS tools e.g. Lambda Ensure compliance with ISO 27001 standards and have a security focused mindset in relation to Cloud Infrastructure. Take a proactive approach to supporting internal team members with data transfer work day to day. Leverage tools and technologies to enhance delivery and management of the cloud training and awareness programme. The Person (Essentials) A Bachelor's More ❯
ViTs), or similar. Solid understanding of image processing workflows, deep learning pipelines, and model evaluation. Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools for model deployment and data pipelines. What you'll be doing: Research and develop solutions to complex business More ❯
to clearly communicate technical decisions and collaborate across disciplines. Experience and skills we'd love: Familiarity with MLflow for tracking experiments, managing model lifecycle, or deploying models. Experience with AWS services such as S3, EC2, SageMaker, Lambda, or similar tools for model deployment and data pipelines. Computer Vision Expertise: Practical experience or exposure to modern computer vision models More ❯
