851 to 875 of 1,234 Kafka Jobs in the UK

seeking backend engineers to scale our real-time MMO infrastructure. You will work with CTO on systems keeping thousands of players connected, using GKE, Kafka, MongoDB and PostgreSQL, building stateful game servers and event-driven services to 10x current scale. You will optimize deployments, observability, and resilience, implement ...

drive Java/Spring Boot services, own delivery direction, and mentor engineers within a hybrid setup. You will work across REST APIs and Kafka pipelines, shape technical decisions, and champion AI‐assisted development to raise quality and speed. The role blends hands‐on coding with client leadership ...

platform that underpins our award-winning trading platforms, enabling engineers to develop, test and deploy applications. You will work with AWS, Linux, Kubernetes, Kafka, and a range of tooling, while advancing AI-enabled workflows. The role offers hybrid working with a mix of office and home, and opportunities ...

role focuses on integrating legacy systems with cloud-native platforms for analytics, reporting, and domain-owned data products, with hands-on work in Databricks, Kafka, and AWS S3. You will implement batch and streaming pipelines, apply the Bronze-Silver-Gold medallion architecture, ensure data quality and governance, and #J ...

drive Java/Spring Boot services, own delivery direction, and mentor engineers within a hybrid setup. You will work across REST APIs and Kafka pipelines, shape technical decisions, and champion AI‐assisted development to raise quality and speed. The role blends hands‐on coding with client leadership ...

troubleshoot existing systems, and collaborate with cross-functional teams to deliver scalable solutions. The ideal candidate has a strong Java stack background, Agile/Kafka experience, and relevant degrees. The company offers a dynamic AI-driven innovation environment and opportunities for growth. #J-18808-Ljbffr ...

lead AI‐driven engineering in a full‐stack environment to support global expansion and deliver reliable, scalable software. The ideal candidate has expertise with Kafka, SQL, .NET, Golang or React, cloud experience (GCP valued), and NoSQL stores. You will mentor a team, own critical solutions, and contribute to code ...

delivery. The successful candidate will engage in meaningful projects that impact users significantly. You should be well-versed in Java 17+, Spring Boot, and Kafka, and possess experience in leading complex projects. Rightmove offers a competitive compensation package and a hybrid work environment with opportunities for professional growth. #J ...

role in London. You will write high-quality Golang/Java code, implement tests, and contribute to data-heavy, low-latency systems built on Kafka and Kubernetes. The role involves container-based architectures, APIs, streaming data platforms and NoSQL/in-memory stores. You will work with stakeholders across ...

pipelines, implementing data storage solutions, and ensuring data security. Ideal candidates should have strong Python skills, experience with Azure Data Factory, and knowledge of Kafka for real-time data streams. The company offers a collaborative environment, 25 days of annual leave, and various benefits including flexible working. #J ...

Client Servicing to Trading. (Core technologies in the wider environment) C# .Net Web Services SQL Server (Including T-SQL) Angular (with Typescript) RabbitMQ/Kafka Azure Git Snowflake Nuget (Producing and Consuming)Azure DevOps (CI) Prometheus & Grafana (Monitoring & Alerting) ELK Stack/Azure Log Analytics (Logging) This role sits ...

have: Experience with scalable large-scale/distributed systems/service-oriented architectureExperience optimizing code for high performance applicationsExperience with messaging systems (e.g., Kafka, AMPS, QPID)Experience with Python, bash and/or Q/ ...

switching between them, recognising the strengths of each and selecting the most appropriate one to solve the problem. Wider environment is heavy in Kafka with rabbitMQ and zeroMQ in play as well. Private cloud mixed with on prem and bare metal kubernetes. Autonomy around technical decision making is yours ...

Python development experience. Experience building or working with RESTful microservices. Experience working with large-scale datasets. Exposure to big data technologies such as Spark, Kafka, or similar. Previous experience within financial services is advantageous but not essential. A strong academic background, ideally with a degree in Computer Science ...

written)Additional InformationSubstantial prior experience with implementing or working with a Risk & PnL engineInterest in financial and commodities marketsSysAdmin experience, e.g. cloud infrastructure, Redis, Kafka, CMake, network sockets techCandidate would have architected and delivered complex systems against ambiguous high level requirements and built high performance algorithms and grid/ ...

autonomy, and commitment to engineering best practice Collaborative mindset and continuous‐learning approach Financial services or regulated‐industry exposure Docker/Snowpark Streaming tech (Kafka, Event Hub) In return In return, they’re offering a fantastic package including £100k salary plus 10% bonus, 9% pension, LTIP and hybrid working ...

technical topics clearly to both technical and non-technical stakeholders. Fluent in English, both written and spoken. What makes you stand outExperience with Java, Kafka, and OpenShift. Knowledge of ITIL practices and service management processes. ITIL Foundation certification, or willingness to obtain it. Experience supporting large-scale, business-critical ...

Kinesis Databricks and Snowflake running on top of AWS Spark and distributed processing frameworks for large-scale data Streaming technologies such as Kinesis or Kafka You're expected to pick the right tools for the problem within the AWS ecosystem, not just default to whatever you know best. What ...

cloud environmentsGitOps and infrastructure automationModern observability and reliability engineering practicesTechnologies commonly used across the environment include Kubernetes, ArgoCD, Puppet, Terraform, OpenTelemetry, Prometheus, Alertmanager, Kafka, Redis and Ceph. Experience with every technology is not required. Who we're looking forSuccess in this role is not measured by the number ...

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. ...

achieve more with the AWS cloud. Basic qualifications- Experience as technical specialist in design and architecture- Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)- Experience in consulting, design and implementation of serverless distributed solutions- Experience in cloud based solution (AWS or equivalent), system, network and operating system ...

building a production-grade runtime, compiler, workflow engine, distributed training system, database, debugger, or orchestration platform Meaningful contributions to systems such as Ray, Temporal, Kafka, Erlang/BEAM, PyTorch, JAX, TensorFlow, or comparable projects Strong API design judgement, open-source collaboration, and disciplined approaches to testing, versioning, compatibility ...

raise the collective technical bar Solid understanding of cloud infrastructure (AWS/GCP), distributed systems, container orchestration, data engineering (batch pipeline, feature store, Kafka) People-first culture — Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent ...

Snowflake experience is relevant and transferable but Databricks experience is preferred. Experience with Python, SQL and production analytics workflows; familiarity with big-data engineering, Kafka, Power BI, dashboards, APIs or workflow automation would be advantageous. Experience in data modelling, semantic layers, canonical data views, data catalogues, data quality, lineage ...

touch with the technical workStrong software engineering practice: Python, version control, reproducible pipelines and production-ready codeExperience with large-scale data processing (we use Kafka, Spark and Flink)The ability to explain complex technical work clearly to senior leadership, commercial teams and partners, and a bias for connecting research ...