6 of 6 Permanent MemSQL Jobs in London

problems in a language-agnostic manner. Preferred Qualifications: Experience with Kubernetes deployment architectures. Experience building trading controls within an investment bank. Experience with NoSQL (MongoDB, Elasticsearch, Hadoop), in-memory (MEMSQL, Ignite), cloud (Snowflake), and relational (DB2, SybaseIQ) data store solutions. Experience in data-driven performance analysis and optimization. #J-18808-Ljbffr More ❯

of Real Time data, designing systems that can elastically scale to handle surges in throughput and demand. Hands-on experience with modern technologies such as Kubernetes, Kafka, RocksDB, MongoDB, MemSQL, Prometheus, Tempo, and Snowflake is highly desirable. Exposure to cloud-native tooling and practices, with an emphasis on DevOps, cloud computing, Kubernetes, and stream processing is a strong advantage. Comfortable More ❯

latency distributed platforms for real-time trading. - Experience with elastic architectures handling high/bursty data loads. - Proficiency in modern tools and platforms such as Kubernetes, Kafka, MongoDB, RocksDB, MemSQL, Prometheus, Tempo, and Snowflake. - Strong Java development skills and experience with distributed systems. - Exposure to Python, DevOps, cloud computing, or stream processing is a plus. - A collaborative mindset with a More ❯

team and delivering projects with a commercial mindset Prior experience with Event Sourcing (Kafka, Akka, Spark) and data distribution-based architecture Experience with NoSQL (Mongo, Elastic, Hadoop), in-memory (MEMSQL, Ignite), and relational (Sybase, DB2, SybaseIQ) data store solutions Strong knowledge of data structures, algorithms, and design patterns Experience in data-driven performance analysis and optimization Strong communication skills and More ❯

team and delivering projects with a commercial mindset. Prior experience with Event Sourcing (Kafka, Akka, Spark) and Data Distribution based architecture Experience with NoSQL (Mongo, Elastic, Hadoop), in memory (MEMSQL, Ignite) and relational (Sybase, DB2, SybaseIQ) data store solutions. Strong knowledge of data structures, algorithms, and design patterns Experience in data driven performance analysis and optimizations. Strong communication skills and More ❯

large data ingestion, persistence, transformation, and retrieval. Design, develop, and maintain multiple code bases to service realtime data over a distributed data pipeline. Responsible for Kubernetes deployments and namespaces, MemSQL and Oracle databases, Victoria Metrics instances, on-prem S3, and codebases in Python, Typescript, and Kotlin. Maintain and manage pipeline between real-time data from streaming/non-streaming data … sources such as Apache Pulsar/Oracle/MemSQL to application data stores and services. JOB REQUIREMENTS MINIMUM EDUCATION: Bachelor's Degree in Computer Science, CIS, MIS or Information Technology. MINIMUM EXPERIENCE: Five (5) years of experience as Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, or Software Engineer. ALTERNATE EDUCATION: Master's Degree in Computer Science, CIS, MIS, or More ❯