4 of 4 Cloud Native Jobs in Oxfordshire

Terrestrial Networks (NTN) , Direct-to-Cell systems, and the evolution toward 6G. This role sits at the intersection of space systems, cellular networks, and cloud-native telecom orchestration , owning architectural definition, product evolution, system-level optimization, and driving customer-facing technical engagements. Key Responsibilities: Lead solution architecture … . Contribute to standards bodies and industry forums (3GPP, ETSI, GSMA, O-RAN, ESA NTN Forum, etc.). Define orchestration and automation strategies for cloud-native, SDN-based networks. Required Qualifications: Strong background in 4G/5G mobile network architecture (RAN + Core). Proven experience in SATCOM ...

doing some incredible things within the industry. Now they are in a position to bring in a Senior Platform Engineer to help scale their cloud infrastructure and DevOps capability. They’ve built a high-performing engineering team and are now investing further into the platform side of things … demand grows. Think modern, cloud-native architecture, and a real emphasis on automation, scalability, and developer enablement. You’ll have the autonomy to make technical decisions and help shape how platform engineering is done as the team continues to scale. Tech stack OCI, AWS, Azure Kubernetes (building ...

with the latest in modern tooling. Why This Role is Great Shape the Future of Infrastructure : Drive the migration from Linux-based systems to cloud-native environments in a way that blends reliability, scalability, and performance. Cloud without Boundaries : Work in a cloud-agnostic setup (primarily … fast-paced, supportive environment. About You You’ll bring a solid foundation in Linux systems and have proven experience guiding businesses through cloud transformations . You may have previously worked in scientific, hardware, or deep-tech environments and have a natural ability to unravel technical complexity and make smart ...

Strong background in distributed systems, large-scale data pipelines and ML model deployment Deep understanding of modern data stacks such as Spark, Databricks or cloud-native architectures Solid understanding of modern frontend engineering, DevOps knowledge and experience delivering machine learning systems Strong communication, organisation and stakeholder engagement skills ...