1 to 25 of 81 Remote/Hybrid Kafka Jobs in the UK

their output, and maintain quality over AI‐generated work product. Experience building event‐driven and distributed systems , including familiarity with messaging platforms (e.g., Apache Kafka), delivery guarantees, and resilience strategies. Strong SDLC practices : version control, CI/CD pipelines, automated build/test/deploy workflows, and code quality ...

delivering solutions. Desirable Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in startup ...

testing, and containerisation Strong problem-solving and communication skills Technology Stack Python, SQL, FastAPI, PyTorch, Transformers/LLMs, Terraform, Databricks, Kubernetes, AWS, Azure, PostgreSQL, Kafka, Git, CI/CD, Knowledge Graphs What's on Offer Fully remote working within the UK Opportunity to work on cutting-edge ...

/IP, DNS, load balancing) Experience with Git and modern version control practices Desirable Skills Experience with service mesh technologies (e.g. Istio) Familiarity with Kafka or event streaming platforms Exposure to security tooling, secrets management (e.g. Vault), or SIEM Experience with test automation or integrating testing into CI/ ...

should have: Strong programming experience in Java (preferred) or Python Experience building ETL/ELT or streaming data pipelines Hands-on experience with Kafka, Flink, or Spark (streaming experience preferred) Good understanding of stream-processing concepts (event time, state, backpressure) Experience with cloud platforms (AWS preferred; Azure ...

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 ...

DevOps & Cloud: Hands-on experience with Kubernetes , Docker, Terraform, and CI/CD tools like Jenkins or GitHub Actions. Data & Messaging: Expert knowledge of Kafka , Apache Flink, PostgreSQL, Oracle, and Elasticsearch. Security: Deep understanding of OAuth 2.0, secure web services, and API gateway management. Candidate Profile Enterprise Experience: Proven ...

working with Red Hat OpenShift and Ceph storage platforms Programming experience (e.g. Python, JavaScript) Experience working with event streaming and data pipeline technologies (e.g. Kafka, Apache NiFi, Apache Spark) Experience delivering multi-system integration projects within defence, government, or highly regulated environments Experience implementing and configuring training simulation technologies ...

delivering service migrations and platform go-lives into production Nice to haves: Helm chart authoring and advanced Argo CD usage Event-driven microservices (Kafka) PostgreSQL in cloud environments Advanced CI/CD pipeline design Experience with Internal Developer Platforms (e.g. Backstage) Multi-cloud exposure and/or Python development ...

workflows, code reviews, and CI/CD practices. Preferred Qualifications: Have used Azure cloud services previously Experience with streaming/event-driven systems e.g., Kafka/Kinesis Experience with infrastructure as code e.g., Terraform and containerization e.g., Docker/Kubernetes Familiarity with data governance, cataloging, lineage, and privacy/ ...

workflows, code reviews, and CI/CD practices. Preferred Qualifications: Have used Azure cloud services previously Experience with streaming/event-driven systems e.g., Kafka/Kinesis Experience with infrastructure as code e.g., Terraform and containerization e.g., Docker/Kubernetes Familiarity with data governance, cataloging, lineage, and privacy/ ...

Have Skills Experience or familiarity with any of the following would be beneficial but not required : Docker & containerisation Kubernetes AWS CI/CD pipelines Kafka & event-driven architectures Databases: MongoDB, PostgreSQL, Oracle Service mesh technologies (e.g. Istio ) BDD tools (e.g. Cucumber ) Helm Redis Monitoring & observability tools ( Grafana, Prometheus, Kibana ...

Azure DevOps) Solid understanding of microservices and containerisation Knowledge of authentication and integration tools (OAuth, JWT) Excellent communication and problem-solving skills Bonus Skills: Kafka, RabbitMQ, or Azure Service Bus Database admin or optimisation experience Previous work on customer-facing web platforms Why You'll Love It Here: Hybrid ...

Good knowledge of at least one Python-compatible frontend framework Strong experience with AWS services and cloud-native development Understanding of event-driven systems (Kafka highly desirable) Strong grasp of software engineering principles and clean architecture Experience with CI/CD, automated testing and DevOps practices Comfortable working across ...

improve application performance Strong understanding of secure coding practices Exposure to the following would be advantageous but not essential: - Messaging/streaming technologies (Kafka, SQS) Serverless technologies (e.g., AWS Lambda) Monitoring/logging tools (ELK, Splunk, Dynatrace) ORM technologies (JPA, Hibernate) API documentation tools (e.g., Swagger/OpenAPI) Test ...

using OAuth2/OIDC, session management, and fine-grained permissions. Design and maintain event-driven architectures and background processing pipelines (e.g. Celery, Redis Streams, Kafka) to enable scalable async workloads, retries, and fault-tolerant integrations. Design data models and optimise relational databases (PostgreSQL) for performance, partitioning, and horizontal scale. ...

Containerisation (Docker, Kubernetes) CI/CD pipelines (Jenkins, GitHub Actions, Bitbucket Pipelines) Cloud platforms (AWS, Azure or GCP) Version control (Git) Nice to have: Kafka, SQS or other messaging systems Serverless technologies (e.g. Lambda) Monitoring/logging tools (ELK, Splunk, Dynatrace) JPA/Hibernate Experience delivering complex projects ...

Containerisation (Docker, Kubernetes) CI/CD pipelines (Jenkins, GitHub Actions, Bitbucket Pipelines) Cloud platforms (AWS, Azure or GCP) Version control (Git) Nice to have: Kafka, SQS or other messaging systems Serverless technologies (e.g. Lambda) Monitoring/logging tools (ELK, Splunk, Dynatrace) JPA/Hibernate Experience delivering complex projects ...

Containerisation (Docker, Kubernetes) CI/CD pipelines (Jenkins, GitHub Actions, Bitbucket Pipelines) Cloud platforms (AWS, Azure or GCP) Version control (Git) Nice to have: Kafka, SQS or other messaging systems Serverless technologies (e.g. Lambda) Monitoring/logging tools (ELK, Splunk, Dynatrace) JPA/Hibernate Experience delivering complex projects ...

with distributed systems and troubleshooting at scale Hands-on knowledge of containers/orchestration (Kubernetes, Nomad, or similar) Experience with messaging systems such as Kafka, ActiveMQ, or similar Understanding of observability, monitoring, and tracing concepts Strong DevOps/CI/CD mindset Background in financial services or other mission ...

Working knowledge of cloud platforms such as AWS, Azure, or GCP Additional experience that would be beneficial Exposure to message queueing systems such as Kafka or SQS Experience with serverless technologies Familiarity with monitoring and logging tools Knowledge of JPA, Hibernate, and API documentation tools such as Swagger Experience ...

orchestration , including prompt design, tool usage, context management, and agent memory Experience integrating with enterprise systems via APIs, event/message queues (e.g., Kafka, Service Bus), and webhooks Solid foundation in distributed system design , including state management, retries, error handling, and resilience Experience with business process automation or workflow ...

moving towards a cloud-first architecture with a strong focus on AWS, working with technologies such as Java/Spring, AWS Lambda, Node.js, Kafka, SQL/NoSQL databases, and more. Key Tasks Work within a small, collaborative team using agile methodologies and practices Take ownership of applications across ...

high‐performance analytics across multiple engines. Programming: Expert‐level proficiency in Java , Python and SQL . Big Data & Orchestration: Hands‐on experience with Spark, Kafka, and orchestration tools like Apache Airflow, Dagster, or dbt. Data Modeling: Deep understanding of data warehousing and modern data lakehouse architecture. Leadership & Soft Skills ...

systems Experience integrating with third-party APIs End-to-end ownership of systems (design build operate) Technical Expertise Event-driven architecture (EventBridge, SQS, SNS, Kafka) Reliability patterns (retries, idempotency, DLQs) Observability and debugging in distributed systems Data modelling and schema evolution Leadership & Collaboration Ability to lead technical design ...