3 of 3 Part-Time DevOps Jobs in England

client has an exciting opportunity for a Fractional DevOps Engineer to join the team. Location: London Salary: Competitive Job Type: Fractional, 12 days per week About The Company: Our client is an early-stage technology business developing a highly secure financial software platform. The product will handle sensitive accounting … connect with government, banking and other third-party services. As the platform moves through its next stage of development, the business requires an experienced DevOps specialist to establish secure, reliable and proportionate cloud infrastructure without introducing unnecessary complexity. Fractional DevOps Engineer The Role: The Fractional DevOps Engineer will take ...

maintaining scalable cloud-based applications. The successful candidate will have strong experience with Node.js , Microsoft Azure , Azure Functions , Cosmos DB , and GitHub within modern DevOps and Agile delivery environments. Key Responsibilities Design, develop, and maintain high-performance backend applications using Node.js . Build and deploy scalable cloud-native solutions within … microservices architecture. Understanding of security, scalability, and performance considerations in cloud environments. Experience working within Agile development teams. Desirable Skills Experience with Azure DevOps and CI/CD pipelines. Knowledge of containerisation technologies such as Docker and Kubernetes. Experience with monitoring and logging solutions within Azure. Familiarity with Infrastructure ...

experience in IaC and able to guide how one could deploy infrastructure into different environments Owning the cloud infrastructure underpinning data systems through a DevOps approach Knowledge of handling and transforming various data types (JSON, CSV, etc) with Apache Spark, Databricks or Hadoop Good understanding of the possible architectures involved … cloud environment, with some knowledge of how you would present diagrams (C4, UML etc.) To provide guidance how one would implement a robust DevOps approach in a data project. Also would be able to talk about tools needed for DataOps in areas such as orchestration, data integration and data analytics. ...