126 to 150 of 297 Remote Kafka Jobs

Comfortable balancing technical excellence with business priorities and constraints Nice to have Experience building Data Mesh or Data Lake architectures. Familiarity with Kubernetes, Docker, and real-time streaming (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. What's it like to work at Zego? Joining Zego is a career-defining move. People go further here More ❯

Comfortable balancing technical excellence with business priorities and constraints Nice to have Experience building Data Mesh or Data Lake architectures. Familiarity with Kubernetes, Docker, and real-time streaming (e.g. Kafka, Kinesis). Exposure to ML engineering pipelines or MLOps frameworks. Whats it like to work at Zego? Joining Zego is a career-defining move. People go further here, reaching More ❯

other testing methodologies Preferred: Familiarity with PostgreSQL and Snowflake Preferred: Familiarity with Web Frameworks such as Django, Flask or FastAPI Preferred: Familiarity with event streaming platforms such as Apache Kafka Preferred: Familiarity with data pipeline platforms such as Apache Airflow Preferred: Familiarity with Java Preferred: Experience in one or more relevant financial areas (market data, order management, algorithmic trading More ❯

or Java. Client-side web apps are written in React, and some services in Clojure, Java and Go. Our platform consists of: Multiple Kubernetes Cluster for Container orchestration Apache Kafka and Redis shortly Postgres for event messaging Postgres for data storage OpenStack Swift for Object storage Juniper & Cisco networking devices A number of internally written tools for managing the More ❯

Science, Software Engineering or equivalent practical experience Proficiency in C#, .NET 8/9 and object-oriented design principles Experience developing microservices and RESTful APIs with tools like Redis, Kafka, and MySQL Familiarity with Docker and Kubernetes for containerisation and orchestration Experience working with Git, versioning practices, and CI/CD workflows Strong unit testing and mocking skills for More ❯

get more value from model outputs as needs evolve. Requirements Proven experience designing and building robust backend systems using technologies such as Node.js, Python, MongoDB, PostgreSQL, Redis, RabbitMQ, and Kafka Demonstrated ability to scale production systems in cloud-native environments, familiarity with Kubernetes, NGINX, and container orchestration Experience building and maintaining real-time applications, including working with WebSockets and More ❯

get more value from model outputs as needs evolve. Requirements Proven experience designing and building robust backend systems using technologies such as Node.js, Python, MongoDB, PostgreSQL, Redis, RabbitMQ, and Kafka Demonstrated ability to scale production systems in cloud-native environments, familiarity with Kubernetes, NGINX, and container orchestration Experience building and maintaining real-time applications, including working with WebSockets and More ❯

/or UNIX shell scripting Expertise in machine learning techniques and statistical analysis Proficiency in SQL and NoSQL databases Experience with big data platforms such as Hadoop, Spark, and Kafka Cloud computing expertise across AWS, Azure, and other Experience in designing and implementing real-time data processing solutions Strong understanding of AI/ML applications in systems and software More ❯

partnership to identify your strengths and provide you with the training, mentoring and coaching necessary to fill any gaps. Experience with some of our core technologies: Node.js, React, Elasticsearch, Kafka, MongoDB, Redis. You'll be proficient in at least one programming language and be accustomed to evaluating new technologies. Experience building and maintaining production software. It's great if More ❯

Equivalent experience using Java would also be considered Proficient in multithreading, concurrency and performance tuning Solid understanding of inter-application communication using REST, WebSocket or middleware like Solace/Kafka/Tibco Proficiency in CI/CD, application resiliency, testing, profiling, and telemetry Awareness of industry trends and leveraging new technologies as appropriate Experience working in Linux environments Nice More ❯

and non-technical stakeholders A background in software engineering, MLOps, or data engineering with production ML experience Nice to have: Familiarity with streaming or event-driven ML architectures (e.g. Kafka, Flink, Spark Structured Streaming) Experience working in regulated domains such as insurance, finance, or healthcare Exposure to large language models (LLMs), vector databases, or RAG pipelines Experience building or More ❯

side code adheres to the latest best practices; utilizing Python >3.10, extensive test coverage, local development with Docker and automated packaging and deployment alongside leveraging open-source technologies like Kafka, RabbitMQ, Redis, Cassandra and Zookeeper. By joining our team, youll have the opportunity to work on a modern tech stack that blends infrastructure (~80%) and application development (~20%) whilst More ❯

While not mandatory, experience with these technologies is a significant advantage. Event-Driven Architectures , FinOps and Cost Optimization (Optional): Contribute to the development of event-driven data pipelines using Kafka and schema registries, enabling real-time data insights and responsiveness. Apply FinOps principles and multi-cloud cost optimization techniques to ensure efficient resource utilization and cost control. What You More ❯

experience with deployment, configuration, and troubleshooting in live production systems. Experience with Messaging Systems: You have experience with distributed systems that use some form of messaging system (e.g. RabbitMQ, Kafka, Pulsar, etc). The role is focusing on RabbitMQ and you will have time to acquire deep knowledge in it. Programming Proficiency: You have some proficiency in at least More ❯

strengthen an application: Passion for transportation or sustainable technologies Deeper experience with parts of our stack, eg Go, Typescript, react Terraform or other Infrastructure as Code tooling Exposure to Kafka, event driven architectures, or message queues Familiarity with HashiCorp Vault or other secrets management tooling Deeper knowledge of CI/CD pipelines Experience in a start-up or scale More ❯

cloud native architecture and cloud integration with telco services. Comfortable with virtualisation and container orchestration technology. Experience designing RESTful APIs. Experience with streaming and messaging systems such as gRPC, Kafka and RabbitMQ. Experience designing and interfacing with user portals. Experience with monitoring, telemetry and observability technology and patterns. Understanding of BSS/OSS systems and their integration with network More ❯

re comfortable operating in production environments where reliability and performance are critical. You're experienced in designing and building distributed systems that communicate via RESTful and event-driven (e.g. Kafka) architectures, with an emphasis on fault tolerance and observability. You take full ownership of your work, from design and implementation to deployment and production support, and you're comfortable More ❯

Spark and Databricks AWS services (e.g. IAM, S3, Redis, ECS) Shell scripting and related developer tooling CI/CD tools and best practices Streaming and batch data systems (e.g. Kafka, Airflow, RabbitMQ) Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options More ❯

Testing performance with JMeter or similar tools Web services technology such as REST, JSON or Thrift Testing web applications with Selenium WebDriver Big data technology such as Hadoop, MongoDB, Kafka or SQL Network principles and protocols such as HTTP, TLS and TCP Continuous integration systems such as Jenkins or Bamboo What you can expect: At Global Relay, there's More ❯

to ensure our systems are trusted, reliable and available . The technology underpinning these capabilities includes industry leading data and analytics products such as Snowflake, Tableau, DBT, Talend, Collibra, Kafka/Confluent , Astronomer/Airflow , and Kubernetes . This forms part of a longer-term strategic direction to implement Data Mesh, and with it establish shared platform s that More ❯

or contributing to a Centre of Excellence team Consulting experience or a strong consulting mindset is highly desirable Desirable Attributes Experience with event-driven architectures and messaging systems (e.g., Kafka) Exposure to Infrastructure as Code (e.g., Terraform, Ansible) Familiarity with observability tools and performance tuning Ability to mentor junior engineers and lead backend design initiatives Engagement Model Outside IR35 More ❯

clean, maintainable code The ability to work independently as well as in a team, remotely and in person Nice to have: REST (inc. authentication with OAuth, JWT, etc.) Apache Kafka GraphQL Docker Scala What the business can offer you.... Hybrid working pattern Pension Bonus Discount on products If you wish to work in a business that has strong values More ❯

/CD pipelines. Implement and optimize automation processes using infrastructure-as-code (Terraform) Build and maintain data pipelines using Airflow. Manage our tech stack including Python, Node.js, PostgreSQL, MongoDB, Kafka, and Apache Iceberg. Optimize infrastructure costs and develop strategies for efficient resource utilization. Provide critical support by monitoring services and resolving production issues. Contribute to the development of new More ❯

with the ability to clearly articulate technical concepts to both technical and non-technical stakeholders. An interest (or experience) in any Distributed Systems or Event-Driven Architectures (using Apache Kafka). Proven track record of designing and implementing software architecture for complex applications, including considerations for scalability, maintainability, and security. Familiarity with CI/CD pipelines and deployment strategies More ❯

YouYou'll bring: Proven experience in data architecture, data modelling, and database design. Strong knowledge of cloud platforms (Azure, AWS, or GCP) and modern data technologies (e.g., Snowflake, Databricks, Kafka). Expertise in SQL, Python, or other data-centric programming languages. Familiarity with data governance, security, and compliance frameworks. Excellent communication and stakeholder management skills. Why Join Us? Competitive More ❯