101 to 125 of 668 Kafka Jobs in England

version control systems (eg, Git). Experience with Agile development methodologies. Excellent communication, interpersonal, and problem-solving skills. Experience with streaming data technologies (eg, Kafka, Azure Event Hubs). Experience with data visualisation tools (eg, Tableau, Power BI). Experience with DevOps tools and practices (eg, Azure DevOps, Jenkins ...

approach, working alongside architects while retaining ownership of technical delivery Experience with any of the following would be advantageous: Cilium Istio ArgoCD or Flux Kafka or Redpanda Helm and Kustomize Python automation Policy as Code (OPA/Gatekeeper or Kyverno) What's on Offer Salary ...

assurance and technical standards. The Technology Environment Cloud: AWS, Azure, GCP Architecture: Microservices, distributed systems, event-driven architecture, API-led architecture Integration: REST APIs, Kafka, messaging, Pub/Sub, data streaming, file-based integration Development: Java, Spring Boot, Node.js and related technologies Data: MongoDB, NoSQL and modern data platforms ...

Competences Essential Strong experience designing and building high‐performance, low‐latency Java services within electronic trading Strong experience with distributed messaging technologies (Solace/Kafka) and real‐time systems Strong experience designing and building event-driven systems deployed to cloud environments (AWS, EC2, EKS, Kubernetes) Experience with memory architectures ...

technical audiences; ability to operate in globally distributed teamsPreferred qualifications, capabilities, and skillsExposure to messaging systems and market protocols (e.g., MQ/Kafka; familiarity with FIX and Solace)Experience with observability stacks and resilience engineering for low-latency/latency-sensitive platformsFamiliarity with PythonExperience operating services in regulated environments ...

systems engineering Any Beneficial/Nice to have skills and experience: Experience of using cloud services such as AWS and distributed systems such as Kafka, Kubernetes, S3, DynamoDB, MongoDB or any other NoSQL database Experience of working in investment bank or financial services industry This job description provides ...

clearance. Desirable AWS certification at Associate or Professional level Experience with streaming and event‐driven data technologies Experience with technologies such as Spark, Kafka or Databricks Experience delivering data platforms within public sector, defence or other regulated environments Experience working within secure environments and understanding associated security and assurance ...

enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real ...

enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real ...

enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real ...

verbal communication skills in English Understanding of distributed systems and microservices architecture Understanding of cloud technologies (AWS, GCP, Azure, etc.) Understanding of messaging frameworks (Kafka, RabbitMQ, etc.) Experience in automating deployment, releases and testing in continuous integration, continuous delivery pipelines #ICBCareers #ICBEngineering J.P. Morgan is a global leader ...

hands on experience in front office trading environments or similarly high pressure, low latency domains. Proficiency with SRE tooling and techniques, including FIX messaging, Kafka, Grafana, Splunk, ITRS Geneos, Dynatrace, InfluxDB, MQ (IBM MQ or similar), Oracle DBDemonstrated experience using enterprise-authorized AI capabilities within the work environment ...

hands on experience in front office trading environments or similarly high pressure, low latency domains. Proficiency with SRE tooling and techniques, including FIX messaging, Kafka, Grafana, Splunk, ITRS Geneos, Dynatrace, InfluxDB, MQ (IBM MQ or similar), Oracle DB Demonstrated experience using enterprise-authorized AI capabilities within the work environment ...

hands on experience in front office trading environments or similarly high pressure, low latency domains. Proficiency with SRE tooling and techniques, including FIX messaging, Kafka, Grafana, Splunk, ITRS Geneos, Dynatrace, InfluxDB, MQ (IBM MQ or similar), Oracle DB Demonstrated experience using enterprise-authorized AI capabilities within the work environment ...

scale. The team uses a variety of technologies, including: Cloud & Infrastructure: Azure IaaS and PaaS services, Docker, Kubernetes, Helm and Terraform. Data & Messaging: Kafka/Confluent, IBM MQ/MQFTE and SFTP. Databases: MongoDB and SQL Server on Azure. API & Integration: Apigee, REST APIs and Windows Services. Observability: Dynatrace ...

modern backend development, ideally with TypeScript/Node.js. Experience designing and building microservices, event‐driven systems and RESTful APIs using technologies such as Kafka, Redpanda and Kubernetes. Solid understanding of Domain‐Driven Design (DDD), bounded contexts, service decomposition and distributed system design. Experience with PostgreSQL, MongoDB and cloud platforms ...

enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing Vector Databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real ...

seamless experiences across product boundaries and a cohesive user experienceTechnologies We UseDifferent backend languages, including Java, Rust, Python and GoDistributed systems technologies such as Kafka, Cassandra, Elasticsearch and SparkDocker and Kubernetes for containerization and orchestrationIndustry-standard build tooling, including Gradle and GitHubWhat We ValueA deep understanding of server-side ...

HIPAA, GDPR, SOC 2, FCA/PRA, PII handling, data residency, guardrails and red‐teaming. Graph or taxonomy‐based knowledge representation alongside vector retrieval. Kafka/streaming, Databricks, or comparable large‐scale data platform experience. Nice to have Voice and multimodal agents; evaluation of non‐text outputs. FinOps ...

collaboration and communication skills. Strong experience in distributed systems and event‐driven architectures. Hands‐on experience with: Apache Flink (or similar stream processing frameworks) Kafka or other messaging systems. Strong Proficiency in .NET or Java. Experience building systems that are highly observable and operationally mature, with strong monitoring, logging ...

ahead and working smarter. Nice to have: Experience building Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real‐time streaming technologies (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. What’s it like to work at Zego? Joining Zego is a career‐defining ...

will find this uncomfortable. Nice to Have: Familiarity with Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. What’s it like to work at Zego? At Zego, we operate like ...

will find this uncomfortable. Nice to Have: Familiarity with Data Mesh or Lakehouse architectures. Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis).Exposure to ML engineering pipelines or MLOps frameworks. What's it like to work at Zego? At Zego, we operate like a high ...

frameworks. Experience with Terraform or Databricks Asset Bundles. Exposure to MLflow, MLOps or AI and Generative AI workloads. Experience with streaming technologies such as Kafka or Structured Streaming. Databricks certification. Previous consulting or client-facing delivery experience. Why Join Unifeye? We're building a consultancy where talented people ...

Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Hands on coding experience, such ...