1 to 25 of 39 Kafka Jobs in the City of London

microservices-based architectures Experience with containerised environments such as Docker and/or Kubernetes Familiarity with event-driven architecture and messaging technologies (eg Kafka, RabbitMQ, JMS) Experience working in Agile/product delivery environments Strong communication skills with the ability to work across engineering, architecture and business teams Nice ...

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 ...

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. ...

financial services, or banking systems. Strong communication skills and a bias toward action and opinionated design decisions. Nice to Have : Familiarity with messaging systems (Kafka, RabbitMQ, etc.) Exposure to container security and performance tuning on OpenShift. Knowledge of payment gateways, ISO 20022, or SWIFT formats. • Collaborative, fast-paced ...

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 ...

partner technologies for modernization Design architectures incorporating: Mainframe ‘In-place modernization and optimization’ , and Mainframe ‘Exit-to-Cloud’ Event-driven architectures (AWS EventBridge, Apache Kafka, IBM MQ) for real-time integration and decoupling. Strangler Fig patterns for incremental modernization without disrupting business operations. Domain-driven design , microservices ...

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 ...

Vertex AI); containerization (Docker/Kubernetes) and service meshes. Data & Integration : SQL, NoSQL, data warehousing concepts (fact/dimension, SCD), ETL/ELT, streaming (Kafka/Event Hubs), API design, and secure integration (OAuth2/JWT/RBAC). LLMOps/MLOps & Automation : CI/CD for models, model ...

understanding of WebSocket integration, low-latency data streaming, and threading Experience troubleshooting data-heavy UIs and optimising load times Familiarity with tools like Redis, Kafka, and cloud platforms such as Azure or AWS Proficient in Git and modern source control workflows Knowledge of performance diagnostics (e.g. Google PageSpeed Insights ...

technical stakeholders. Nice to have Background in commodities, energy trading, power/gas or renewables markets. Experience with streaming and real‐time data (Kafka, Kinesis or similar). Familiarity with infrastructure‐as‐code (CloudFormation, CDK, Terraform) and observability tooling (Grafana, Prometheus, CloudWatch). What’s on offer Competitive base ...

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 ...

cloud services (e.g., ECS, S3, RDS, Lambda) and a solid understanding of cloud architecture. Familiarity with event-driven systems and messaging frameworks (e.g., Kafka, RabbitMQ) is a plus. Excellent problem-solving skills, with the ability to work in a dynamic and evolving environment. Strong communication and collaboration abilities, with ...

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 ...

analytical databases (Snowflake a plus) 🔹 Experience with AWS/cloud technologies (Batch, Step Functions, Docker, etc.) 🔹 Understanding of event-driven architectures (Kafka, Kinesis, etc. beneficial) 🔹 Experience in financial markets/trading/risk/P&L analytics preferred 🔹 Strong communication skills and ability to work with front-office stakeholders ...

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 ...

solutions using MLflow or integrating with cloud ML services. Experience in BFSI, Retail, Telecom, or Healthcare data environments. Experience with real-time data processing (Kafka, EventHub, Kinesis). Soft Skills Excellent communication and stakeholder management skills. Strong problem-solving and solution-oriented mindset. Ability to lead in a fast ...

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. ...

have a good working knowledge of CI/CD, IaC, containerisation technologies You have experience of working with messaging/streaming platforms (e.g. Kafka, RabbitMQ) and designing relational databases (e.g., MySQL, PostgreSQL) You're proficient with cloud-based systems (preferably AWS) You're collaborative and pragmatic with great communication ...

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 ...

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 ...

. Familiarity with low-latency patterns, high-throughput messaging, and microservices. Additional Skills Experience with Linux, shell scripting, and performance analysis tools. Knowledge of Kafka, Redis, Aerospike, or other high-performance data stores. Understanding of order lifecycle, price feeds, and eTrading workflows in fixed income/rates. ...