1 to 25 of 241 Remote Permanent 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 ❯

procedures, triggers, performance tuning) and experience with NoSQL (MongoDB, Cassandra). Experience migrating RDBMS to cloud/NoSQL is a significant plus. Middleware: Hands-on experience with Tibco EMS, Kafka, MQ, JMS. Cloud & DevOps: Developing/deploying applications to cloud platforms (AWS, GCP, PCF). Strong experience with Agile/SCRUM, CI/CD automation (Jenkins, Bamboo, UrbanCode), and 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 ❯

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 ❯

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 ❯

and DevOps practices. Knowledge of security, data privacy, and GDPR compliance. Excellent communication skills. Strong problem-solving skills. Experience with Docker, Kubernetes, event-driven architectures, and message brokers like Kafka or RabbitMQ. Knowledge of front-end performance and accessibility standards. Exposure to machine learning pipelines and data workflows. Experience in startup or high-growth tech environments. Additional benefits include 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 ❯

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 ❯

Angular or ReactJS is a plus. • Knowledge of Data Intelligence Platform tools like Databricks with exposure to AI and lake houses is a plus. • Experience with message queues like Kafka is a plus. • Knowledge of AWS with API gateway/workflow orchestration/lambda/serverless applications is a plus. Why should you work for Mindbank? Since 1986, Mindbank More ❯

Git; an awareness of CI/CD practices and tools such as GitHub Actions or Azure DevOps Nice to have: Experience of working with Apache Spark/Flink/Kafka Familiarity with object storage e.g. AWS S3 Knowledge of containerised development workflows using e.g., VSCode Basic understanding of cloud platforms like AWS or GCP Experience contributing to open-source More ❯

use (don’t worry if you’re not fluent in all of it — you’ll have time to learn): Java (main language) | Spring Boot | Python (for analytics) | Postgres | MongoDB | Kafka | AWS | GCP We’d love to hear from you if you: Have strong Java skills and can take the lead on complex changes. Care about writing clean, maintainable code More ❯

legacy orchestrators!) Data platform expertise, knowledge of lakehouse architectures, Delta Lake, or real-time data processing patterns. Experience working in hybrid environments with asynchronous teamwork. Tuning, profiling and optimising Kafka, Spark, or container networking under load. In Return: This role is at the heart of a highly leveraged platform, enabling hundreds of engineers to use critical data systems with More ❯

take pride in the software you produce. Apache Maven Desirable Skills and Experience Industry experience of any of the following technologies/skills would bebeneficial: Elasticsearch Docker Apache Hadoop, Kafka or Camel. Javascript Knowledge of both Windows and Linux operating systems. Kubernetes Nifi Nsq Apache Ignite Arango Why BAE Systems? This is a place where you'll be able More ❯

take pride in the software you produce. Apache Maven Desirable Skills and Experience Industry experience of any of the following technologies/skills would bebeneficial: Elasticsearch Docker Apache Hadoop, Kafka or Camel. Javascript Knowledge of both Windows and Linux operating systems. Kubernetes Nifi Nsq Apache Ignite Arango Why BAE Systems? This is a place where you'll be able More ❯

take pride in the software you produce. Apache Maven Desirable Skills and Experience Industry experience of any of the following technologies/skills would bebeneficial: Elasticsearch Docker Apache Hadoop, Kafka or Camel. Javascript Knowledge of both Windows and Linux operating systems. Kubernetes Nifi Nsq Apache Ignite Arango Why BAE Systems? This is a place where you'll be able More ❯

in Agile environments (Scrum, Kanban, SAFe) with strong architectural governance Key Experience Required: Proven experience as a Data Solution Architect on complex, multi-disciplinary consulting engagements Deep knowledge of Kafka , Confluent , and event-driven architecture Hands-on experience with Databricks , Unity Catalog , and Lakehouse architectures Strong architectural understanding across AWS, Azure, GCP , and Snowflake Familiarity with Apache Spark, SQL More ❯

C++, Java, Rust Python, Bash Git, Jenkins Competent in most of the following technologies: Kubernetes, Docker AWS, VMWare Terraform, Ansible Robot Framework or PyTest Useful additional requirements: Experience with Kafka, Kafka Streams, Elasticsearch, Redis, Prometheus, Kibana, SQL/RDBMS Telecoms signalling protocols: Diameter, SS7, GTP-C, SIP Telecoms messaging: SMS, SMPP, MMS About Enea We are a world More ❯

DevOps tools Understanding of secure coding and software development best practices Desirable experience: Microservices, containers (Docker/Kubernetes) Front-end frameworks such as Vue.js Messaging systems (e.g. Service Bus, Kafka) NoSQL databases, REST APIs, CI/CD pipelines Benefits: 25 days holiday plus bank holidays and additional Christmas leave Flexible 37.5-hour week Hybrid working: 2 days/week More ❯