Cambridge, Cambridgeshire, United Kingdom Hybrid / WFH Options
Arm Limited
legacy orchestrators!) Data platform expertise, knowledge of lakehouse architectures, Delta Lake, or real-time data processing patterns. Experience working in hybrid environments with asynchronous teamwork. Tuning, profiling and optimising Kafka, Spark, or container networking under load. In Return: This role is at the heart of a highly leveraged platform, enabling hundreds of engineers to use critical data systems with More ❯
in setting up and managing monitoring, metrics, and alerting systems Experience operating production-grade services at scale Great to have: Experience with tools such as: Terraform, SaltStack, MongoDB, Elasticsearch, Kafka, Prometheus, Grafana or HashiCorp Vault Experience with securing applications, services, and data, including authentication, authorization, TLS, and encryption Exposure to Kubernetes (administering, deploying, or developing apps on K8s clusters More ❯
of current cyber security threats, actors and their techniques Experience with data science, big data analytics technology stack, analytic development for endpoint and network security, and streaming technologies (e.g., Kafka, Spark Streaming, and Kinesis) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on More ❯