1 to 25 of 32 Kafka Jobs in Central London

DevOps, and architecture. Desirable Containerisation and orchestration (Docker, Kubernetes). Observability tooling (OpenTelemetry, Grafana, Prometheus, Azure Monitor, CloudWatch). Experience with event streaming (Kafka, Event Hubs, Kinesis). ...

deliver robust, scalable, and secure services. With a strong foundation in backend technologies, including Java and Spring Boot, and event-driven systems such as Kafka, you’ll influence systems well beyond your own code, ensuring architectural integrity and high engineering standards across multiple teams. You’ll play a pivotal ...

teams within fast-paced environments. Deep expertise in: Python (Django, Flask, or FastAPI) PostgreSQL (design, optimisation, maintenance) Containerisation (Docker/Kubernetes) Event-driven architecture (Kafka/RabbitMQ) Desirable experience includes: TypeScript/JavaScript (NextJS, NodeJS, Tailwind) Terraform and DevOps practices Experience in building and scaling SaaS platforms in production. ...

Skills: Experience in commodities markets or broader financial markets. Knowledge of quantitative modeling, risk management, or algorithmic trading. Familiarity with big data technologies like Kafka, Hadoop, Spark, or similar. Why Work With Us? Impactful Work: Directly influence the profitability of the business by building technology that drives trading decisions. ...

observability (Application Insights, Log Analytics) Secrets management and vulnerability scanning (Key Vault, SonarQube, OWASP) Microservices and event-driven design (Service Bus, Event Grid, Kafka) Domain-Driven Design (DDD) principles Overall experience: 8+ years in software engineering, with deep full-stack and cloud experience. Proven record of leading ...

Financial Service industry. What You’ll Work With C# .NET Framework SQL Server WinForms desktop applications Azure infrastructure Legacy platform modernisation Automated testing Kafka Future platform direction includes: Docker/containerisation Modernised execution architecture Core Responsibilities: Maintain and improve the trading execution platform Refactor and enhance a long-lived ...

understanding of high‐availability, security, and data‐consistency trade‐offs Eventing & Distributed Systems Experience with event‐driven architectures Messaging or streaming technologies such as: Kafka AWS SQS Similar eventing systems Platform & Technical Leadership Deep experience with AWS, Docker, and CI/CD practices Proven ability to mentor engineers ...

into high-quality code using Python, Scala, or Java. Innovation: Evaluate and implement new technologies across Cloud (Azure, AWS, GCP) and Big Data (Spark, Kafka) stacks. Collaboration: Work closely with business teams to define data flows and ensure security protocols (encryption/authentication) are met. Technical Toolkit Languages: Proficiency ...

Strong knowledge of DevOps - experience with CI/CD (Gitlab) • Experience dealing with highly scalable systems with high throughput • Experience with Postgres, Terraform, Kafka and Containers with be beneficial • Testing experience (TDD) • Excellent verbal and written communication skills Does this sound like an opportunity that might be of interest ...

Microsoft Azure Data Engineer or Solutions Architect certification (desirable). Databricks Certified Data Engineer or Machine Learning Associate (desirable). Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable). Knowledge of machine learning and AI on Databricks (desirable). Benefits of working at Canada Life We believe ...

PostgreSQL, Redis, Docker, Kubernetes, and AWS. • Strong focus on security, scalability, and reliability. Nice to Have: • FinTech, Crypto or payments experience. • Message brokers (Kafka, RabbitMQ, etc.). • Regulated or compliance-heavy environments. Benefits: • Hybrid/remote working In Central London • salary up to £90k and up to 20% bonus. ...

languages also considered Cloud: AWS (current environment) Frontend: Angular Svelte React experience also relevant Data/Messaging: Strong database fundamentals (Postgres, ClickHouse or equivalent) Kafka or similar real‐time messaging technologies What We’re Looking For Strong software engineering experience in Front Office or real‐time trading environments Proven ...

Azure,orGCP). Demonstratedabilitytoleadwithoutmicromanaginghands-offbuttechnicallycredible. TechnicalEnvironment Ourplatformisbuiltusingmodern,cloud-nativetechnologies,including: Technologies .NET/C#(coreplatformservices) React RESTfulAPIs&event-drivenservices Data&Messaging PostgreSQL Redis Kafka Cloud&Infrastructure MicrosoftAzureand/orAWS Kubernetes Terraform/InfrastructureasCode CI/CDpipelines(AzureDevOps/GitHubActions) Thereisa3stageinterviewprocesswithinterviewslotsnowavailable,applynowtobeconsidered. ...

Excellent communication skills & ability to work cross‐functionally Bonus experience: Building APIs for high‐scale consumer or B2B products Working with message queues like Kafka, RabbitMQ, NSQ, or Pulsar Integrating external APIs/services Performance optimisation & working under performance budgets Interest or experience in cryptocurrencies, Web3, or digital assets ...

equivalents. Experience with CI/CD for data pipelines. Good to have skills Although not essential, the following skills are desired by the client: Kafka/Kinesis, Airflow, CodePipeline. BI tools (Power BI/Tableau). Docker/OpenShift; metadata driven pipelines. 3-8+ years Data Engineering experience. ...

systems. Strong foundation in version control, CI/CD pipelines, and software lifecycle best practices. Nice to Have Experience with message queues such as Kafka, RabbitMQ, Pulsar, or NSQ. Experience integrating with 3rd‐party services or financial data providers. Familiarity with performance budgets, monitoring, and observability tooling. Knowledge ...

around code quality, testing and reliability Participate in team support and operational responsibilities Technology Environment Core Java (deep JVM knowledge – minimal reliance on frameworks) Kafka & event-driven architectures Low-latency, high-throughput systems Kubernetes (services, deployments, stateful sets) Terraform Hazelcast/Hazelcast Jet (bonus) Get in touch! - Darnell@Thyme.Global ...

PropTech or property data. Cloud experience (AWS/GCP/Azure). Docker/Kubernetes, CI/CD, and event-driven data tools (Kafka/Kinesis). Knowledge of data governance in SaaS environments. ...

delivery of real-time video, data, and AI analysis on their sports content platform. Core Stack: Backend: Java 21, Kafka, Postgres, Docker, Terraform Frontend: SolidJS, TypeScript Infra: AWS (Serverless & Containers), Confluent AI Ops: Heavy daily use of AI Coding Assistant (Claude Code) Who You Are Keep current with tech ...

with modern technology stacks including: • Cloud infrastructure such as AWS, GCP, or Azure • APIs and distributed services • Data platforms including Snowflake, Databricks, BigQuery, and Kafka • SaaS integrations and enterprise software ecosystems • Automation and scripting using Python or JavaScript We’re Looking For • Experience in Solutions Engineering, Sales Engineering ...

accountability Comfortable making decisions independently and driving initiatives without close oversight Bonus Experience testing or benchmarking ML models and systems Familiarity with streaming systems (Kafka) and event-driven architectures Experience with observability tools (logging, metrics, tracing) Understanding of logistics, supply chain, or IoT systems Experience as the first ...

technical concepts clearly Nice to Have: Experience building websocket services and real-time APIs Familiarity with message queues or stream-based data pipelines (e.g. Kafka, RabbitMQ) Prior exposure to the crypto, blockchain, or traditional financial markets Degree in Computer Science or similar, or equivalent practical experience Location & Working Setup ...

scaling of the platform globally. The right engineer should bring experience with Neo4j, production grade LLM/AI capabilities (RAG, embeddings, inference pipelines), Kafka, Java/JVM and API-first architecture. The position offers a rare modernisation opportunity, you'd be transitioning from a third-party engineering team ...

Interest in financial data (experience helpful but not required) Nice to have: DuckDB experience Time-series experience (market data, telemetry, pricing, events) Streaming exposure (Kafka/Event Hubs/Kinesis) Experience with Temporal (or similar orchestrators like Airflow/Dagster/Prefect) Any exposure to AI agents/automation ...

teams across Europe Operate in Agile environments (Scrum/Kanban) with a strong engineering culture Tech Stack (current & evolving): Java 17+, Spring WebFlux, Akka, Kafka, reactive streams, distributed messaging, cloud-native tooling What You Bring We’re looking for engineers who enjoy thinking in events, streams, and asynchronous workflows … ideally Java 17) in production environments Deep understanding of asynchronous and reactive programming models Proven experience with event-driven architectures and real-time messaging (Kafka, JMS, Akka, etc.) Solid grasp of distributed systems concepts: concurrency, idempotency, fault tolerance, and resilience Experience building and testing production-grade systems using ...