9 of 9 Cloud Native Jobs in East Sussex

hear from you. Job Details This is an exciting and pivotal role within our wider Solution Architecture team. You will be responsible for defining solutions spanning multiple systems utilising cloud capabilities, creating roadmaps and principles and working across a broad range of technologies The role of Solution Architect works alongside business and technical stakeholders to understand opportunities and issues … areas. Skills we would love you to have Demonstrable experience of Solution Architecture in one or more of the following skills and knowledge areas. Solution Architecture patterns and principals Cloud native technologies, utilising cloud functionality or migrating applications to cloud APIs, design and consumption Microservices, creating new or transforming applications with microservices architecture Exceptional communication skills More ❯

Maintaining applications, ensuring reliability, maintainability, and evolution. Act as a liaison between the development team and internal business stakeholders. Implementation of modern architectures: micro services, containerised services, and serverless cloud-native components in AWS. Diagnose and resolve complex support issues. Collaborate with Business Analysts and Team Leaders to refine deliverables and technical solutions. CI/CD pipelines, and More ❯

a trusted adviser relationship with the business by influencing and negotiating with stakeholders on the flexible facets of the solution Skills we would love you to have Proficiency in cloud native technology Microsoft Azure Essential experience in the design and consumption of APIs using a range of protocols Previous experience with enterprise integration patterns and microservice architectures Experience More ❯

machine learning. Proven experience delivering production-grade AI solutions. Proficiency in Python and ML libraries (e.g. Semantic Kernel, Langchain, agentic frameworks). Experience deploying models using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong understanding of data engineering, including feature engineering and pipeline orchestration. Experience with version control (e.g. Git), CI More ❯

in AI/ML engineering or applied machine learning. Proficiency in Python and ML libraries (e.g. Semantic Kernel, Langchain, agentic frameworks). Experience deploying models using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong understanding of data engineering, including feature engineering and pipeline orchestration. Experience with version control (e.g. Git), CI More ❯

a trusted adviser relationship with the business by influencing and negotiating with stakeholders on the flexible facets of the solution Skills we would love you to have Proficiency in cloud native technology Microsoft Azure Essential experience in the design and consumption of APIs using a range of protocols Previous experience with enterprise integration patterns and microservice architectures Experience More ❯

using MySQL, PostgreSQL, and SQL Server. Maintain core business-critical applications, ensuring reliability, maintainability, and ongoing evolution. Contribute to the implementation of modern architectures: microservices, containerised services, and serverless cloud-native components in AWS. Diagnose and resolve complex support issues in legacy applications. Contribute to Agile processes using KANBAN, ensuring transparency and delivery alignment. Document architecture decisions, deployment … in backend development with .Net (C#) Proficiency in frontend development across Angular, Typescript, Javascript, HTML, CSS Strong database skills with SQL Server, MySQL, and PostgreSQL Familiarity working within a cloud environment, particularly AWS or Azure Experience maintaining and modernising legacy systems Experience working in a client-facing or business-facing technical role This is a full-time, permanent role More ❯

in complex, data-rich environments. Proficiency in Python and key ML libraries (e.g., Semantic Kernel, Langchain, and Agentic frameworks). Experience deploying models into production using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong knowledge of data engineering principles, including data wrangling, feature engineering, and pipeline orchestration. Experience with version control More ❯

in complex, data-rich environments. Proficiency in Python and key ML libraries (e.g. Semantic Kernel, Langchain and Agentic frameworks). Experience deploying models into production using APIs, containers, or cloud-native services. Familiarity with Azure and infrastructure-as-code tools. Strong knowledge of data engineering principles, including data wrangling, feature engineering, and pipeline orchestration. Experience with version control More ❯