476 to 500 of 1,238 Kafka Jobs

Cursor or similar) as part of your daily workflow Right to work in Northern Ireland/UK Desirable/Nice to Have: Exposure to Kafka, PostgreSQL, DynamoDB or Kinesis Experience going beyond code completion into agentic or LLM-driven workflows Why Apply? Salary: £80,000- £100,000 Remote-first ...

large scale and store exabytes of data. The platform supports a variety of services based on open-source software, such as Kubernetes, Cassandra, Zookeeper, Kafka, Redis, etc., alongside internally developed services. Description We are looking for a creative, versatile, and passionate engineer to join this group. You will have ...

workflows, Azure DevOps (or similar), and SQL or document databases. Knowledge of modern software architecture and engineering practices. Experience with cloud platforms, microservices, Kubernetes, Kafka, stream processing or React would be advantageous. Experience providing technical guidance, knowledge sharing, and informal mentoring to other engineers. For the fixed-term opportunity ...

orchestration tooling, and data engineering best practices. Familiarity with technologies such as Spark, Python, SQL, Delta Lake, Unity Catalog, dbt, Azure Data Factory, Airflow, Kafka, or equivalent tooling. Relevant certifications such as Snowflake SnowPro, Databricks Certified Data Engineer, or cloud platform certifications would be an advantage. Skills: Strong communication ...

technical delivery and supporting other engineers. Strong problem-solving, communication and stakeholder management skills. Experience with Azure Service Bus, Logic Apps, Functions, Event Grid, Kafka or RabbitMQ would be advantageous. What You’ll Get The opportunity to be part of a brand redefining the future of wellness A premium ...

scalable, high-quality data solutions to support analytics, reporting and machine learning. Familiarity with real-time data processing, APIs and streaming technologies such as Kafka or Azure Event Hubs. Experience with CI/CD, Azure DevOps, GitHub Actions and Infrastructure as Code. Strong understanding of data governance, security ...

scalable, high-quality data solutions to support analytics, reporting and machine learning. Familiarity with real-time data processing, APIs and streaming technologies such as Kafka or Azure Event Hubs. Experience with CI/CD, Azure DevOps, GitHub Actions and Infrastructure as Code. Strong understanding of data governance, security ...

unit test coverage with JUnit and Mockito.* Hands-on experience with Spring or Micronaut, Docker, and Kubernetes.* Working knowledge of messaging technologies such as Kafka, RabbitMQ, or Solace.* Solid understanding of Spot, Futures, and Options markets.* Hands-on experience with agentic AI development: LLM integration, prompt engineering, and SDLC ...

design exploration, prototyping and embedding AI capabilities into product workflows and services Event Driven Design: Experience designing systems using event-driven approaches (e.g. Solace, Kafka, Web Sockets, or similar technologies), with a solid grounding in Domain-Driven Design. Engineering Fundamentals: Strong grasp of SOLID principles, design patterns, dependency injection ...

highly available cloud services (e.g., GCP/Azure) Breadth across modern + legacy technology stacks such as Docker, Kubernetes, microservices, API gateways (Kong), REST, Kafka, React Familiarity with large-scale transformation using analytics and AI/ML Opening up a world of opportunity Being open to different points ...

Java with strong experience in Big Data technologies such as: Spark, Hadoop etc. Practical knowledge of building real-time event streaming pipelines (e.g., Kafka, Spark Streaming, Kinesis). Proficiency in AWS cloud environments. Proven experience developing modern data architectures including Data Lakehouse and Data Warehousing. A solid understanding ...

plus Experience with finance/derivative products. Knowledge of Convertible Bonds is a plus Experience of publish/subscribe messaging protocols such as Kafka , AMQP, AMPS Experience with C#/WPF desktop application programming Exposure to Relational Database Management Systems (Sybase) Experience of Cloud technologies Exceptional client relationship skills ...

teams by taking on meaningful work aligned with your passions and career goals. Some job duties and projects could include: Self-serve deployment of Kafka clusters using Docker and Kubernetes Developing a natural language Chatbot for knowledge base searches Prototyping solutions for automated payments at gas stations Automating processes ...

native systems using Azure, AWS, and Oracle Cloud. Apply Service-Oriented Architecture (SOA) and Domain-Driven Design (DDD) principles. Design event-driven systems using Kafka and Pub/Sub. Lead API design, integration strategies, and legacy modernization to microservices. Contribute to Disaster Recovery planning and platform resilience. Implement Identity ...

Terraform, CloudFormation, or similar). Strong experience with cloud platforms, ideally AWS. Experience with distributed data processing technologies (e.g. Spark) and streaming platforms (e.g. Kafka). Ability to operate at both a strategic and hands-on level when required. Strong communication and stakeholder management skills, with the ability ...

Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data Integration: Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures. Architecture & Modelling: TOGAF; DAMA; ArchiMate; Sparx Enterprise Architect. Data Governance: Microsoft Purview; Collibra; Informatica; Security ...

Quality. Reference Data. Cloud Platforms Microsoft Azure; AWS; GCP Modern Data Platforms Databricks; Microsoft Fabric; PostgreSQL Data Integration Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures Architecture & Modelling TOGAF; DAMA; ArchiMate; Sparx Enterprise Architect Microsoft Purview, Collibra, Informatica, Security by Design, Data ...

deployment methodology BS. or higher in Computer Science (or equivalent work experience) Preferred Qualifications Experience with Node, Webpack, MobX, Redux Experience with Spring boot, Kafka Experience with Microservice architectures and REST API Experience with SQL databases (PostgreSQL/Oracle) and nosql (Dynamo/Mongo DB) Experience with AWS Experience ...

ecosystem — service based solutions Event-driven — real-time data driven solutions Cloud deployments — Azure, Kubernetes, ArgoCD High-performance data & messaging — Graph, Vector, Postgres & Kafka About You We’re looking for exceptional AI engineers to help build and scale Kinsworth, our AI-native financial intelligence platform. You’ll play ...

high throughput. Experience with performance tuning and designing scalable data pipelines. Knowledge of real-time data processing and event driven systems. Use of Kafka, Event Hubs or similar. Experience working with data scientists, MLOps and building ML enabled features. Why Us Data is at the heart of everything ...

experience in a professional field or military 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 software development with object oriented language Experience in cloud based solution ...

experience in a professional field or military 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 software development with object oriented language Experience in cloud based solution ...

delivering new features and improving/automating existing ones. Collaborate with your team members and engineering leaders to design complex event-driven services (using Kafka/SNS/SQS) and components using our Request For Comments (RFC) process. Coach and mentor less experienced team members, positively changing the trajectory ...

modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI). Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation ...

bottleneck is a process, not a pipelineYou're comfortable in the NGA stack or can get there fast: Go (backend), React/Next.js (frontend), Kafka/RedPanda (event-driven), PostgreSQL, running on Kubernetes (AKS)You communicate clearly with engineering leaders and product directors, this role shapes platform strategy ...