1 to 25 of 293 Remote Kafka Jobs

Git, Maven, Jenkins, CI/CD) Excellent communication and teamwork skills Bonus Points For Experience in payments, financial services, or fraud detection Familiarity with Big Data tools (Hadoop, Spark, Kafka) Exposure to cloud-native architecture (AWS, GCP, Azure) Understanding of TDD/BDD and modern testing frameworks What's On Offer Hybrid Working - Flexibility with 2 remote days per More ❯

Qualifications Familiarity with cloud platforms (AWS, Azure, or GCP) and serverless architecture. Knowledge of CI/CD pipelines and DevOps practices. Experience with message queues and streaming platforms (e.g., Kafka, AmazonMQ). Strong understanding of data modelling and API versioning. More ❯

working in or contributing to a Centre of Excellence team Excellent communication and collaboration skills across multidisciplinary teams Desirable Attributes Exposure to microservices architecture and event-driven systems (e.g., Kafka) Experience with design systems and component libraries (e.g., Material, Storybook) Familiarity with observability tools and performance tuning Prior consulting experience or experience in client-facing roles Engagement Model Outside More ❯

skills and a pragmatic approach to 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 environments or high-growth More ❯

skills and a pragmatic approach to 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 environments or high-growth More ❯

technical solutions in an Agile environment. Technical Proficiency: Deep technical expertise in software and data engineering, programming languages (python, java etc.). Understanding of orchestration (Composer, DAGs), data processing (Kafka, Flink, DataFlow, dbt), and database capabilities (e.g. BigQuery, CloudSQL, BigTable). Container technologies (Docker, Kubernetes), IaaC (Terraform) and experience with cloud platforms such as GCP. CI/CD: Detailed More ❯

with Data visualisation techniques and tools Familiarity with structured and unstructured storage of Data Use of Code repositories, familiarity with branching strategies, pull requests and merge processes. MongoDB Apache Kafka Infrastructure as Code (e.g Terraform, Ansible) Responsibilities Design and build software using industry best practice Collaborate with stakeholders and other engineers Contribute to the completion of milestones associated with More ❯

other applicable tools. Design, develop, document, test and deploy software written in Python, JavaScript, Java and SQL. Assist with the deployment, configuration, testing, troubleshooting, maintenance, updates/upgrades of Kafka and Elastic clusters and environments. Work with an Agile team, attend daily scrums and demonstrate working software while collaborating with a geographically distributed (remote) team, communicating and collaborating frequently More ❯

and/or other applicable tools. Design, develop, document, test and deploy software written in Python, JavaScript, Java and SQL. Deploy, configure, test, troubleshoot, maintain, update/upgrade of Kafka and Elastic clusters and environments. Work with an Agile team, attend daily scrums and demonstrate working software while collaborating with a geographically distributed (remote) team, communicating and collaborating frequently More ❯

and/or other applicable tools. Design, develop, document, test and deploy software written in Python, JavaScript, Java and SQL. Deploy, configure, test, troubleshoot, maintain, update/upgrade of Kafka and Elastic clusters and environments. Work with an Agile team, attend daily scrums and demonstrate working software while collaborating with a geographically distributed (remote) team, communicating and collaborating frequently More ❯

building sophisticated plots/charting (Plotly, Matplotlib) and reporting systems (PowerBI). Experience of failure prediction/MTBF analysis. Experience with Manufacturing Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with Linux and running containers on Kubernetes. Experience with cloud technologies e.g. Microsoft Azure, AWS, or Google Cloud. Personal Attributes: Self-motivated with high More ❯

with microservices-based applications using Java and popular frameworks (Spring Boot, Hibernate, or Struts). Hands-on experience with Java8/11+, Microservices, Angular, Spring Boot, JUnit, Cucumber, AWS, Kafka, Containerization, SVN, Jenkins. Java full-stack development experience. Cloud migration (AWS) Relational Database Mgmt. Systems (RDBMS) Familiarity and experience with Software Development Kits (SDK) Preferred Skills: DevOps Tool: Hudson More ❯

or contributing to a Centre of Excellence team Excellent communication skills and ability to collaborate across multidisciplinary teams Desirable Attributes Exposure to event-driven architectures and messaging systems (e.g., Kafka) Experience with Infrastructure as Code (e.g., Terraform, Ansible) Familiarity with observability tools and performance tuning Ability to mentor junior engineers and contribute to backend design leadership Prior consulting experience More ❯

to the likes of CI/CD, Kubernetes & Docker. Experience with cloud platforms ideally AWS. Experience of multiple development technologies, ideally including Java, JavaScript, Node.js, React, Spring/Springboot, Kafka, AWS, Python, Jenkins, GitLab, microservices, secure RESTful API's, JSON, API Gateways, event-driven architectures, messaging. Technical knowledge of Oracle Retail Cloud Applications such as MFCS, OIC, Smart Item More ❯

Automation Language: Python Observability & Monitoring: Monitoring & Alerting: Prometheus, Datadog, Pagerduty Telemetry Standards: OpenTelemetry Application & Data Ecosystem (Supporting): Application Languages/Frameworks: Python, FastAPI, Flask, Node.js, React Data Streaming: Apache Kafka Data Processing/Transformation: Pandas, DBT Workflow Orchestration: Apache Airflow, Ray Machine Learning Stack: Serving: Triton Inference Server MLOps/Experiment Tracking: Weights and Biases, DVC Libraries/Frameworks More ❯

MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform, CloudFormation) Expertise in More ❯

information to individuals with non-technical backgrounds and to senior leadership Experience with Machine Learning Analytics Experience with Amazon Web Services (AWS) Experience with asynchronous messaging systems (RabbitMQ, Apache Kafka, etc.) Experience monitoring application performance with metrics (Prometheus, InfluxDB, Grafana) and logs with ELK Stack (ElsticSearch, Logstash, Kibana) Excellent communication and collaboration abilities Experience working independently to solve complex More ❯

product and engineering team, delivering cutting edge software solutions. Our Technology Our current technology stack is outlined below: Go, Python, Java React Native, Android Apps (Kotlin) AWS PostgreSQL, SQLite Kafka, MQTT Shell scripting REST APIs Docker for both our cloud and edge-device applications Microservice-style, event-driven cloud architecture IoT 'smart' edge devices (using nVidia AI chips) Linux More ❯

journey. What youll need Technical expertise in Java, with experience from project inception to production, valuing well-tested software and feedback. Experience with Spring, Hibernate, REST APIs, JSON, Microservices, Kafka, and Postgres. Understanding of architecture and cloud-native principles. Knowledge of algorithms and data structures. Familiarity with test-driven development. Experience with container environments like Docker, Kubernetes, Helm, preferably More ❯

Git-based workflows Bachelors/Computer Science degree or equivalent Nice to Have: Experience in fintech, payments, or banking systems Exposure to serverless architecture Knowledge of event-driven systems (Kafka, SNS/SQS) Familiarity with security best practices in fintech (e.g., PCI DSS compliance) Experience with PostgreSQL or MongoDB This role offers a 2 -3 stage interview process with More ❯

experience with Core Java, JEE technologies, and modern web frameworks Proven track record in designing and deploying REST/SOAP APIs using JSON and XML Hands-on experience with Kafka (setup, maintenance, stream processing) Proficiency with containerisation tools such as Docker and Kubernetes Strong working knowledge of RDBMS (SQL Server, Oracle, DB2) and/or NoSQL (e.g., MongoDB) Experience More ❯

Experience building backend services with Java using Spring Framework (Boot, Core, MVC), Spring Boot strongly preferred • Experience working with Docker or Kubernetes. • Experience with messaging and stream processing on Kafka or similar messaging technologies • Relational Database knowledge • Experience with cloud services; either AWS or GCP • Experience with Generative AI & Large Language Models (Gen AI, LLM) • Experience building modular, testable More ❯

Looking For: 7+ years of hands-on backend engineering experience, with deep expertise in Java and modern backend ecosystems. Proven experience building microservices and event-driven systems (e.g., with Kafka , RabbitMQ , or NATS ). Strong relational database skills ( PostgreSQL ), including schema design and SQL optimisation. Experience with RESTful API design and implementation, ideally with Spring Boot or Quarkus . More ❯

MLOps practices and model deployment pipelines Proficient in cloud AI services (AWS SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform, CloudFormation) Expertise in More ❯

and impactful. Experience we're looking for: Experienced in designing and developing full stack solutions with Java, Spring boot and ideally React (or similar) Microservices Architecture Messaging technologies e.g Kafka, RabbitMQ OR ActiveMQ Familiar with Cloud platforms (AWS, Kubernetes, Docker) Experienced of working within an Agile Product team alongside scrum masters and product owners Strong communication skills and the More ❯