101 to 125 of 2,118 Remote Kafka Jobs

Keras, etc.) Familiarity with Python for AI/ML development is a significant advantage. Experience with data engineering pipelines or big data technologies (e.g., Kafka, Spark) is a plus. The recruitment process you can expect for this role is an initial call with your dedicated Talent Acquisition Partner who More ❯

APIs, webservices and Microservices. Experience with processes and deliverables in an Agile/SCRUM environment What Would Make You Stand Out Experience working with Kafka data streams, Big data, Postgres DB and Data lake is a plus Experience working with Amazon AWS services like Athena, S3, Glue, Lambda, Starburst More ❯

days. Essential Skills and Experience Strong expertise in AWS cloud services , with practical experience or theoretical knowledge of AWS MSK (Managed Streaming for Apache Kafka) Deep understanding of Kafka (Apache Kafka, Confluent Kafka) and event-driven microservices architecture Proficiency in Infrastructure as Code tools (Terraform, AWS … CloudFormation) Experience with observability and monitoring tools (Prometheus, Grafana, AWS CloudWatch) Familiarity with data streaming frameworks such as Kafka Streams, Flink, or Spark Streaming Knowledge of security best practices , including IAM, encryption, and role-based access control At least 5 plus years of experience in cloud engineering, DevOps, or … backend platform development Hands-on experience with AWS MSK is ideal, but candidates with strong Kafka expertise and a willingness to upskill in AWS MSK will be considered Multi-cloud experience (Azure Event Hubs, Google Pub/Sub) Experience with alternative messaging and queueing systems (RabbitMQ, ActiveMQ, Redis Streams More ❯

Experience working in government, defence, or highly regulated industries with knowledge of relevant standards. Experience with additional data processing and ETL tools like Apache Kafka, Spark, or Hadoop. Familiarity with containerization and orchestration tools such as Docker and Kubernetes. Experience with monitoring and alerting tools such as Prometheus, Grafana More ❯

About Us bigspark, a UK based consultancy delivering next level data platforms and solutions with a focus on exciting technologies including Apache Spark, Apache Kafka and working on projects within Machine Learning, Data Engineering, Streaming and Data Science is looking for a Python Software Engineer to join our team More ❯

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 More ❯

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 More ❯

have Skills: Good understanding of container technologies (Docker and Kubernetes) Experience of Single page application frameworks (Angular/React) Practical experience of development using Kafka/RabbitMQ Experience in large scale integration projects involving messaging, web services and distributed systems Public Sector experience More ❯

have Skills: Good understanding of container technologies (Docker and Kubernetes) Experience of Single page application frameworks (Angular/React) Practical experience of development using Kafka/RabbitMQ Experience in large scale integration projects involving messaging, web services and distributed systems Public Sector experience More ❯

maintainability Technical Stack: Backend: .NET 8, AWS Lambda, ECS, EKS Databases: SQL/NoSQL (DynamoDB, Aurora, DocumentDB MongoDB experience a bonus) Event-Driven Systems: Kafka, AWS MSK, EventBridge, SNS/SQS DevOps & Infrastructure: Terraform, GitHub Actions, Docker Frontend: React What Were Looking For: Proven experience leading development teams in More ❯

CloudFormation) . Strong problem-solving skills and ability to work independently in a remote setting. Nice-to-Have Skills: Experience with event-driven architectures (Kafka, RabbitMQ, or similar). Knowledge of Edge computing and real-time analytics. Exposure to AI/ML applications in IoT . Experience in low More ❯

varied workload, and a chance to pick up different tools and technologies. They work with a really modern tech stack; Java, SpringBoot, Microservices, Kubernetes, Kafka, AWS and more! Although experience with all of this is great, the organisation is much more interested in collaborative Engineers who can bring strong More ❯

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 More ❯

varied workload, and a chance to pick up different tools and technologies. They work with a really modern tech stack; Java, SpringBoot, Microservices, Kubernetes, Kafka, AWS and more! Although experience with all of this is great, the organisation is much more interested in collaborative Engineers who can bring strong More ❯

varied workload, and a chance to pick up different tools and technologies. They work with a really modern tech stack; Java, SpringBoot, Microservices, Kubernetes, Kafka, AWS and more! Although experience with all of this is great, the organisation is much more interested in collaborative Engineers who can bring strong More ❯

varied workload, and a chance to pick up different tools and technologies. They work with a really modern tech stack; Java, SpringBoot, Microservices, Kubernetes, Kafka, AWS and more! Although experience with all of this is great, the organisation is much more interested in collaborative Engineers who can bring strong More ❯

varied workload, and a chance to pick up different tools and technologies. They work with a really modern tech stack; Java, SpringBoot, Microservices, Kubernetes, Kafka, AWS and more! Although experience with all of this is great, the organisation is much more interested in collaborative Engineers who can bring strong More ❯

work under pressure in critical environments. Preferred Skills: Experience with containerization and orchestration technologies such as Docker and Kubernetes. Knowledge of messaging systems like Kafka, RabbitMQ, or similar. Background in banking or highly regulated environments. Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Understanding of More ❯

relational databases (PostgreSQL or MS SQL) plus caching layers (Redis/Memcached). Experience with message queues/event streams (Pub/Sub, RabbitMQ, Kafka). Excellent communication skills; thrive in a fully remote, high-autonomy environment. NICE TO HAVE SRE & Kubernetes expertise (GKE) and Datadog/Prometheus/ More ❯

platforms such as GCP (BigQuery, Dataflow) or Azure (Data Factory, Synapse) Expert in SQL, MongoDB and distributed data systems such as Spark, Databricks or Kafka Familiarity with data warehousing concepts and tools (e.g. Snowflake) Experience with CI/CD pipelines, containerization (Docker), and infrastructure-as-code (Terraform, CloudFormation) Strong More ❯

platforms such as GCP (BigQuery, Dataflow) or Azure (Data Factory, Synapse) Expert in SQL, MongoDB and distributed data systems such as Spark, Databricks or Kafka Familiarity with data warehousing concepts and tools (e.g. Snowflake) Experience with CI/CD pipelines, containerization (Docker), and infrastructure-as-code (Terraform, CloudFormation) Strong More ❯

platforms while meeting regulatory requirements. Tech stack: Micro-services Container Platforms (Kubernetes, CRC, Docker) NoSQL Databases (CockroachDB, Cassandra, Zookeeper, ArangoDB) Large-scale data processing (Kafka) Dependency injection frameworks (Guice) Splunk CI/CD Build tools: Maven, Git, Jenkins Frameworks: Spring Boot Real-time communication APIs (WebRTC, SIP, XMPP) Your More ❯

Kubernetes), and Infrastructure-as-Code (Terraform). Cursor AI is widely used too. Data-driven : Experience working with big data systems like Databricks, Spark, Kafka, Snowflake, or BigQuery. Familiarity with batch and streaming ML pipelines is ideal. LLM-curious : Hands-on exposure to LLMs or interest in working on More ❯

relational databases (PostgreSQL or MS SQL) plus caching layers (Redis/Memcached). Experience with message queues/event streams (Pub/Sub, RabbitMQ, Kafka). Excellent communication skills; thrive in a fully remote, high-autonomy environment. NICE TO HAVE SRE & Kubernetes expertise (GKE) and Datadog/Prometheus/ More ❯

Python for our application code, APIs and SDK, and scripting SQL and NoSQL databases: PostgreSQL, Couchbase, DynamoDB Event-driven architecture, employing technologies such as Kafka, gRPC and Protobuf for event definitions Solver technology and algorithms to drive our workflow scheduling solver engine Deployment on AWS to IoT Greengrass, ECS More ❯