26 to 50 of 437 Remote Kafka Jobs

with DevOps principles and tooling such as Infrastructure as Code (Terraform) and CI/CD (GitHub Actions, Jenkins) Knowledge of stream processing technologies like Kafka would be useful Experience working with ITSM systems like JSM, Zendesk or ServiceNow Experience building/maintaining automated incident management workflows Experience developing with More ❯

through code. Desirables: Familiarity with AWS, GCP or other cloud providers. Experience with containerisation technologies (Docker, Kubernetes). Familiarity with streaming data ingestion technologies (Kafka, Debezium). Exposure to feature store concepts and practices (Feast or similar). Interview process Interviewing is a two way process and we want More ❯

be doing? Design and implement efficient ETL processes for data extraction, transformation, and loading. Build real-time data processing pipelines using platforms like Apache Kafka or cloud-native tools. Optimize batch processing workflows with tools like Apache Spark and Flink for scalable performance. Infrastructure Automation: Implement Infrastructure as Code More ❯

Required) Backend Java v17 Spring/Spring Boot Front End Angular/HTML AWS Cloud services Local Stack Alfresco/Activiti/Camunda Apache Kafka MongoDB/MySQL or other RDBS Kubernetes/Docker Micro-services Architecture Security and PKI KeyCloak XML If you hold current SC Clearance and More ❯

control systems such as Git, and familiarity with Linux computing environments. Experience working with different database and messaging technologies such as SQL, KDB, MongoDB, Kafka, etc. Familiarity with data visualization and ideally development of analytical dashboards using Python and BI tools. Excellent communication skills, both written and verbal, with More ❯

written and spoken English (B2 level or higher). Nice to Have: Experience with Argo CD and Argo Rollouts. Familiarity with technologies such as Kafka, Redis, Nginx, Apache HTTP Server, OpenVPN, and Nats. Knowledge of logging tools (Kibana, FluentD, Elasticsearch). Expertise in configuring, managing, and optimizing large PostgreSQL More ❯

standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in Chantilly, VA, McLean, VA and in More ❯

standard libraries, etc.), Python packages that wrap Machine Learning (packages for NLP, Object Detection, etc.), Linux, AWS/C2S, Apache NiFi, Spark, pySpark, Hadoop, Kafka, ElasticSearch, Solr, Kibana, neo4J, MariaDB, Postgres, Docker, Puppet, and many others. Work on this program takes place in Chantilly, VA, McLean, VA and in More ❯

DevOps Engineers. As a Senior Java Developer, you will: Have 5+ years experience as a Software Engineer Experience developing with: Java, Spring Boot, Microservices, Kafka (or other messaging queues e.g. RabbitMQ), AWS, Docker, Kubernetes A desire to be part of an important mission Be adaptable to working in the More ❯

DevOps Engineers. As a Senior Java Developer, you will: Have 5+ years experience as a Software Engineer Experience developing with: Java, Spring Boot, Microservices, Kafka (or other messaging queues e.g. RabbitMQ), AWS, Docker, Kubernetes A desire to be part of an important mission Be adaptable to working in the More ❯

developers. Collaborate with a remote-first, high-performing team across time zones. Tech Stack: Kotlin, Java (or other JVM), Spring Boot, GCP, Kubernetes, Docker, Kafka, PostgreSQL, MongoDB, CI/CD pipelines. Experience in Go, Python, or C# also welcomed. What You Bring: 5+ years of backend experience in production More ❯

platforms (AWS, Fastly). Solid knowledge of RESTful APIs and microservices architecture. Experience with databases (PostgreSQL, MySQL, NoSQL databases). Proficiency with message queues (Kafka, RabbitMQ). Strong DevOps experience, including: CI/CD pipelines (GitHub Actions). Containerization technologies (Docker, Kubernetes). Monitoring & logging tools (Prometheus, Grafana, ELK More ❯

and experience with ORM tools (Entity Framework, Linq2DB). Experience with CI/CD pipelines and DevOps practices. Familiarity with messaging systems (RabbitMQ/Kafka). Knowledge of CQRS, RESTful APIs, and NuGet package management. Understanding of socket programming (TCP/IP) and encryption principles. Experience using Git in More ❯

front-end specialist, so there is opportunity to pick up some front-end experience here. You'll be actively working with Java (Spring), AWS, Kafka and Kubernetes , amongst a few other technologies. You'll be regularly involved in feature design meetings, where you'll be able to suggest and More ❯

with Kubernetes for container orchestration · Experience with Docker for containerisation · Experience with CosmosDb · Redis caching implementation experience · Elasticsearch design and optimisation experience · Experience with Kafka or other event streaming platforms · Microservices architecture knowledge · Micro-frontend architecture knowledge · React, JavaScript/TypeScript, HTML and CSS · Azure cloud services experience · Experience More ❯

defined connectivity technology, FloLIVE delivers seamless connectivity management across boundaries. Our stack: Bitbucket, Jenkins, Kubernetes, Docker, PostgreSQL, MongoDB, ClickHouse, Elastic, Prometheus/Grafana, Zabbix, Kafka, Zookeeper, Ansible, and Terraform. As a qualified expert you will: Manage and maintain Linux-based systems, administer and optimize Kubernetes, and troubleshoot complex network More ❯

or Redis. A real-world practitioner of applying cloud-native design patterns to event-driven microservice architectures. Exposure to high scale distributed technology like Kafka, Mongo, Ignite, Redis. Exposure to building microservices and APIs ideally with REST, Kafka or gRPC. Experience working in an agile development team or More ❯

data workflow orchestration (e.g., Apache Airflow, Luigi, Prefect) Strong programming skills in Python, SQL, or Scala Experience with open-source data processing tools (e.g., Kafka, Spark, Flink, Hadoop) Familiarity with database technologies (PostgreSQL, MySQL, or NoSQL solutions) Ability to work in a fast-paced environment with large-scale datasets More ❯

Azure Data Factory, Event Hub, etc. Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc. Familiarity with Networking, Windows/Linux virtual machines, Container, Storage More ❯

. Ability to work in a fast-paced, high-growth environment with a product-oriented mindset . Bonus: Experience with big data tools (Spark, Kafka) and feature stores . Why Join Us? Work on cutting-edge AI and ML infrastructure supporting generative AI products. Be part of a high More ❯

. Ability to work in a fast-paced, high-growth environment with a product-oriented mindset . Bonus: Experience with big data tools (Spark, Kafka) and feature stores . Why Join Us? Work on cutting-edge AI and ML infrastructure supporting generative AI products. Be part of a high More ❯

create scalable multi-region applications Experience with the following technologies: AWS Serverless and serverless-supported languages DB (ex, Postgresql, CockroachDB) Streaming technologies (Amazon Kinesis, Kafka) Message Queues (SQS, RabbitMQ, ActiveMQ) Experience working with agile development Experience with containerization (Docker, Kubernetes, etc) Experience with Micro-Service and Service oriented architectures More ❯

to adapt to schedule changes as needed. Must be able to travel CONUS up to 25% of the time. Preferred Requirements Experience with NiFi, Kafka, AWS Infrastructure, and K8's. Experience in cloud based technologies (AWS, Azure). Experience in distributed databases, NoSQL databases, full text-search engines (e.g. More ❯

to adapt to schedule changes as needed. Must be able to travel CONUS up to 25% of the time. Desired Skills Experience with NiFi, Kafka, AWS Infrastructure, and K8's. Experience in cloud based technologies (AWS, Azure). Experience in distributed databases, NoSQL databases, full text-search engines (e.g. More ❯

Experience in SQL-based transformation workflows, particularly using DBT in BigQuery Experience with containerisation technologies (Docker, Kubernetes). Familiarity with streaming data ingestion technologies (Kafka, Debezium). Exposure to Data management and Linux admisntration Interview process Interviewing is a two way process and we want you to have the More ❯