251 to 275 of 394 Remote Kafka Jobs

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 ❯

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 ❯

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 ❯

driven architectures. Oversee data governance initiatives including metadata management, data quality, and master data management (MDM). Evaluate and integrate big data technologies and streaming platforms such as Apache Kafka and Apache Spark. Collaborate with cross-functional teams to align data architecture with business goals and technical requirements. About the candidate Exceptional stakeholder engagement, communication, and organisational skills. Strong More ❯

side and remotely). EUD provisioning, maintenance, patching and hardening SSO concepts and operation Understanding of working in protectively marked environments Any experience with DevOps, Docker, Kubernetes, Apache (Nifi, Kafka) would be a nice to have, but non essential Current and active SC Clearance (willingness to undergo DV at some point may be advantageous) If you feel that you More ❯