326 to 350 of 466 Remote Kafka Jobs

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 ❯

management and model versioning Hands-on experience with Databricks Model Serving for production ML deployments Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks. Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models Hands-on knowledge of Chain-of-Thoughts More ❯

/PHI Required Skills: 5+ years in Data Engineering, 3+ years with Snowflake. Strong SQL, Python (Snowpark), and data modeling experience. Familiar with CI/CD (Jenkins), dbt/Kafka integration. Excellent communication and problem-solving skills. Nice to Have: Snowflake certification, healthcare domain experience. Location: Columbia, MD (Hybrid 2 days/month onsite)Type: 12-month Contract-to More ❯

Expertise in at least one cloud platform and its managed data services. Experience building APIs Experience in Genomics/Life Sciences Nice to have: Kubernetes and/or Docker Kafka Oracle Compensation: This role is offering a competitive salary + benefits package. How to apply: Please apply through the link on this page. More ❯

Expertise in at least one cloud platform and its managed data services. Experience building APIs Experience in Genomics/Life Sciences Nice to have: Kubernetes and/or Docker Kafka Oracle Compensation: This role is offering a competitive salary + benefits package. How to apply: Please apply through the link on this page. More ❯

governance. Nice-to-have Text-to-Cypher/SPARQL with safety filters and small eval sets. MCP-style tool contracts for safe agent access. Streaming/ELT at scale (Kafka/Databricks/PySpark). More ❯

governance. Nice-to-have Text-to-Cypher/SPARQL with safety filters and small eval sets. MCP-style tool contracts for safe agent access. Streaming/ELT at scale (Kafka/Databricks/PySpark). More ❯

governance. Nice-to-have Text-to-Cypher/SPARQL with safety filters and small eval sets. MCP-style tool contracts for safe agent access. Streaming/ELT at scale (Kafka/Databricks/PySpark). More ❯

governance. Nice-to-have Text-to-Cypher/SPARQL with safety filters and small eval sets. MCP-style tool contracts for safe agent access. Streaming/ELT at scale (Kafka/Databricks/PySpark). More ❯

governance. Nice-to-have Text-to-Cypher/SPARQL with safety filters and small eval sets. MCP-style tool contracts for safe agent access. Streaming/ELT at scale (Kafka/Databricks/PySpark). More ❯

teams. Key Skills: Experience with Azure cloud data lakes and services (Data Factory, Synapse, Databricks). Skilled in ETL/ELT pipeline development and big data tools (Spark, Hadoop, Kafka). Strong Python/PySpark programming and advanced SQL with query optimisation. Experience with relational, NoSQL, and graph databases. Familiar with CI/CD, version control, and infrastructure as More ❯