4 of 4 Permanent Deployment Automation Jobs in the City of London

join a team maintaining existing and building new infrastructure, sharing knowledge and best practices. This is an incredibly varied role, covering all aspects of automation and management of low latency trading platforms both on premise and cloud as well as supporting clients with their implementation of The Company … highly technical infrastructure team. Responsibilities and Duties Develop and deliver automated multi-account global cloud infrastructure using infrastructure as code (Terraform). Enhance the automation of current processes both cloud and on-premise by using Scripting languages such as Ansible, Python and other automation tools. Work with ...

strong, hands-on Azure leadership, particularly across Azure PaaS services Drive engineering improvement initiatives, including: Resilience and failure testing (e.g. Azure Chaos Studio) Database deployment automation Improving testing frameworks and CI/CD practices Mentor and support engineers, while also being comfortable making and standing behind decisions Step ...

across engineering teams. Collaborate directly with clients and stakeholders to refine technical requirements and assure delivery alignment. Resolve complex technical issues across development and deployment phases with minimal disruption to delivery timelines. Skills & Experience Strong full-stack engineering background with hands-on experience in JavaScript, TypeScript, and modern frameworks. … cloud integration). Excellent understanding of the modern software development lifecycle, engineering best practices, and secure delivery principles. Experience defining testing strategies and implementing automation using TDD/BDD. Significant experience with CI/CD pipelines, DevOps tooling, version control (Git), and modern branching/deployment strategies. Demonstrated ...

details/CV to me, Dan - 07704 152638 WHO WE ARE: We're a rapidly growing AI-powered technology startup combining machine learning and automation to drive innovation across the healthcare. Our mission is to use advanced AI systems to streamline operations, enhance insights, and improve real-world wellbeing … teams (engineering, product, and domain experts). Design, develop, and deploy end-to-end ML systems , from concept to production. Build models for intelligent automation, natural language processing (NLP), and data-driven insights. Work with Python , PyTorch , TensorFlow , and scikit-learn to prototype and scale solutions. Partner with senior ...