1 to 25 of 97 Remote Kafka Jobs

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 ...

environment). Comfortable working in Agile delivery teams with iterative releases and continuous improvement. Nice to Have Experience with event-driven architectures (e.g., Kafka or similar). Knowledge of observability practices (metrics, logging, tracing) and production monitoring. Experience improving performance and scalability in high-throughput systems. Understanding of secure ...

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 ...

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 ...

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 ...

. Desirable Skills, Experience with HashiCorp tooling (Terraform, Vault, Envconsul), Nginx for reverse proxying and routing, and messaging platforms such as Kafka or AWS SQS/SNS. Additional Information Your benefits We’re a community here that cares as much about your life outside work as how you feel ...

Native Mindset – Hands‐on experience with cloud platforms (AWS, Azure, GCP) and understanding of cloud design patterns. Messaging & Events – Solid grasp of messaging technologies (Kafka, RabbitMQ, SQS, NATS) and event‐driven architecture patterns. Data Layer Expertise – Experience with both SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Redis) databases, understanding ...

desirable. Experience of delivering software using Agile delivery methodologies is a must (SCRUM/Kanban). Operational experience of using middleware technologies (MQ, Apache Kafka, etc.) to run services at scale is desirable. Strong experience with end‐to‐end observability stacks (Datadog, AppDynamics, Dynatrace, etc.) is desirable. Degree ...

Java, Scala or Clojure. Cloud‐native mindset – hands‐on experience with AWS, Azure or GCP and cloud design patterns. Messaging & events – solid grasp of Kafka, RabbitMQ, SQS, NATS and event‐driven architecture patterns. Data layer expertise – SQL (PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB, Redis). API design – proven track ...

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. ...

/CD, and Agile delivery practices Desirable Experience with Docker and Kubernetes Knowledge of payment systems, trading platforms, risk, or regulatory reporting Exposure to Kafka, RabbitMQ, or event-driven architectures This is a great opportunity to join a growing team delivering innovative financial technology solutions in a hybrid Belfast ...

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 ...

automated tests. * SE II: ~3-6 years' experience. Senior: 8+ years with leadership/ownership stories. Nice to Have: * BigQuery, WebSockets, Pub/Sub (Kafka/RabbitMQ/SNS/SQS). * Docker/Kubernetes; GCP/AWS; Observability (metrics/logs/tracing). Why Join * Impact ...

problem-solving and communication skills Written tests in TDD/BDD, Integration test, Performance, Acceptance test and Contract testing. Hands-on experience with Apache Kafka/Azure events hub, other messaging systems. Hands on knowledge and implementation in cloud platforms like Azure & AWS. Experience in defining pipelines for Build ...

experience of these would be great:*** Test Driven Development* Test automation* Asynchronous communication patterns* Domain Driven Design – Strategic and Tactical* Microservice architectures* SpringBoot* Apache Kafka* Docker based container development and deployment on Kubernetes* Cloud Computing (ideally Google Cloud Platform)We know that great talent comes from many backgrounds. Whilst ...

Reliability Engineering (SRE) practices. Data Technologies: Proficiency in data technologies such as relational databases, data warehousing, big data platforms (e.g., Hadoop), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure). Programming Skills: Programming skills in languages like Python (NumPy, pandas, PySpark), Java (Core Spark with Java ...

Reliability Engineering (SRE) practices.* Data Technologies: Proficiency in data technologies such as relational databases, data warehousing, big data platforms (e.g., Hadoop), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure).* Programming Skills: Programming skills in languages like Python (NumPy, pandas, PySpark), Java (Core Spark with Java ...

collaboration and communication skills. Strong experience in distributed systems and event-driven architectures. Hands‐on experience with: Apache Flink (or similar stream processing frameworks) Kafka or other messaging systems. Strong Proficiency in .NET or Java. Experience building systems that are highly observable and operationally mature, with strong monitoring, logging ...

e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience with streaming data pipelines (Kafka, Structured Streaming) Experience with CI/CD and DevOps practices Knowledge of Delta Lake features (time travel, CDC, optimisation) Experience with containerisation (Docker, Kubernetes ...

e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience with streaming data pipelines (Kafka, Structured Streaming) Experience with CI/CD and DevOps practices Knowledge of Delta Lake features (time travel, CDC, optimisation) Experience with containerisation (Docker, Kubernetes ...

microservices architectures Experience working within AWS-based cloud environments Kubernetes, Docker and CI/CD experience Experience with event-driven architectures, messaging platforms or Kafka Strong knowledge of reliability engineering, observability, monitoring and incident management Ability to lead technical design initiatives and break down complex problems into deliverable solutions ...

robust, scalable solutions ESSENTIAL EXPERIENCE Strong backend Java and Spring Boot experience built in production environments Solid microservices and event driven architecture, ideally with Kafka or similar Cloud and infrastructure as code experience, Azure and Terraform ideally, though strong AWS plus Terraform transfers A genuine ownership mindset and strong ...

Qualifications: Experience of working in investment bank or financial services industry Experience of using cloud services such as AWS and distributed systems such as Kafka, Kubernetes, S3, DynamoDB, MongoDB or any other NoSQL database What we’ll provide you: By joining Citi, you will not only be part ...

Microsoft 365 and exposure to AI productivity tooling is advantageous Desirable Experience: Vector databases and embedding-based pipelines Real-time data streaming technologies (e.g. Kafka, Flink) RPA tools such as UiPath or Power Automate Data transformation tools such as dbt Exposure to modern AI tooling and frameworks (e.g. Claude ...