201 to 225 of 317 Remote Kafka Jobs

Experience with data quality, data governance processes, Git version control + Agile development environments. Azure Data Engineer certification preferred -eg- Azure Data Engineer Associate. Advantageous skills: Azure Event Hubs, Kafka, data visualisation tools, Power BI, Tableau, Azure DevOps, Docker, Kubernetes, Jenkins. More ❯

Experience with data quality, data governance processes, Git version control + Agile development environments. Azure Data Engineer certification preferred -eg- Azure Data Engineer Associate. Advantageous skills: Azure Event Hubs, Kafka, data visualisation tools, Power BI, Tableau, Azure DevOps, Docker, Kubernetes, Jenkins. More ❯

e-commerce and B2B platforms, with exposure to ERP, CRM, Product, Data, and Supply Chain systems. Knowledge of modern platforms and technologies such as: Cloud: AWS, Azure Data: Snowflake, Kafka, databases Customer Platforms: Adobe Commerce, Salesforce, Informatica, Treasure Data Engineering: Java, Node.js, React, GraphQL, containers, Terraform Integration: MuleSoft, SAP IS, Apollo GraphQL, Kong Minorities, women, LGBTQ+ candidates, and individuals More ❯

e-commerce and B2B platforms, with exposure to ERP, CRM, Product, Data, and Supply Chain systems. Knowledge of modern platforms and technologies such as: Cloud: AWS, Azure Data: Snowflake, Kafka, databases Customer Platforms: Adobe Commerce, Salesforce, Informatica, Treasure Data Engineering: Java, Node.js, React, GraphQL, containers, Terraform Integration: MuleSoft, SAP IS, Apollo GraphQL, Kong Minorities, women, LGBTQ+ candidates, and individuals More ❯

with TypeScript, NestJS, Sequelize ORM, GraphQL, REST APIs Frontend expertise with ReactJS, NextJS, Typescript, Chakra UI Experience with MySQL and NoSQL databases Familiarity with messaging/event-driven systems (Kafka) Ability to work closely with designers (Figma) and translate complex business logic into intuitive UI/UX Problem-solver with strong debugging, troubleshooting, and optimisation skills Thrives in high More ❯

or financial services Exposure to Databricks, container orchestration (e.g. Kubernetes), or workflow engines (e.g. Argo, Airflow) Familiarity with real-time model deployment, streaming data, or event-driven systems (e.g. Kafka, Flink) Interest in MLOps, model governance, and responsible AI practices Understanding of basic model evaluation, drift detection, and monitoring techniques Why Join Us? You'll work on meaningful problems More ❯

proactive - you're excited to learn and take ownership of projects in the fast-moving DeFi space. Bonus points if you've touched on any of these: message brokers (Kafka, RabbitMQ, EventBridge), smart contracts, running crypto nodes/RPCs, Web3, or GraphQL Wir bieten Hybrid-working model with 25-Work From Anywhere days Competitive total compensation package including participation More ❯

Qualifications 4+ years of experience as a Technical Writer, Developer Advocate, or Software Engineer focused on APIs or event-driven systems. Deep understanding of RESTful and event-streaming architectures (Kafka, Kinesis, or similar). Proven experience writing API and developer documentation using OpenAPI/Swagger or AsyncAPI specifications. Hands-on familiarity with developer tooling such as Git, Postman, Redocly More ❯

in production environments at scale Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency More ❯

in production environments at scale Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency More ❯

in production environments at scale Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency More ❯

in production environments at scale Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency More ❯

in production environments at scale Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency More ❯

in production environments at scale Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency More ❯

in production environments at scale Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency More ❯

in production environments at scale Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency More ❯

in production environments at scale Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency More ❯

in production environments at scale Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency More ❯

in production environments at scale Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency More ❯

in production environments at scale Experience using Large Language Models (LLMs) to prompt engineering, fine-tune foundation models and evaluation and alignment of LLMs 3+ years of experience with Kafka, Airflow, Spark, AWS Glue/Kinesis 3+ years of experience with Databricks or Snowflake Experience using LLM Ops tooling and practices in model versioning, deployment, cost optimization and latency More ❯

Good understanding of design patterns and build activities across the SDLC including unit testing, system testing, integration, security and performance testing. Experience integrating with distributed event-based systems (e.g., Kafka), API gateways, and service meshes. Have experiences in systems engineering or solution architecture with appreciation of software development processes such as Behaviour Driven Development & Test Driven Development. Demonstrate strong More ❯

Qualifications 4+ years of experience as a Technical Writer, Developer Advocate, or Software Engineer focused on APIs or event-driven systems. Deep understanding of RESTful and event-streaming architectures (Kafka, Kinesis, or similar). Proven experience writing API and developer documentation using OpenAPI/Swagger or AsyncAPI specifications. Hands-on familiarity with developer tooling such as Git, Postman, Redocly More ❯

in using AI tools to improve workflow and product outcomes. Degree in Computer Science (or similar) from a good University highly desirable. Nice to Have: Familiarity with message brokers (Kafka, SQS/SNS, RabbitMQ). Knowledge of real-time streaming (Kafka Streams, Apache Flink, etc.). Exposure to big-data or machine-learning frameworks (TensorFlow, PyTorch, Hugging Face More ❯

experience in Java and React Experience testing in cloud-based environments including, deployments and configuration of CI/CD pipelines for test runs. Experiences with Grafana, RabitMQ or Apache Kafka, API testing, Kubernetes and SQL databases. Please apply now to be considered for this position. More ❯

experience in Java and React Experience testing in cloud-based environments including, deployments and configuration of CI/CD pipelines for test runs. Experiences with Grafana, RabitMQ or Apache Kafka, API testing, Kubernetes and SQL databases. Please apply now to be considered for this position. More ❯