751 to 775 of 1,091 Kafka Jobs

understand complex financial products and translate requirements into scalable systems. Technical Skills: • 7+ years of professional C# and .NET development experience • Deep expertise in distributed systems and messaging architectures (Kafka, RabbitMQ, TIBCO, or equivalent) • Solid understanding of architectural patterns: microservices, event sourcing, domain-driven design • Proficiency with SQL and NoSQL databases in high-volume environments • Strong async/await More ❯

understand complex financial products and translate requirements into scalable systems. Technical Skills: • 7+ years of professional C# and .NET development experience • Deep expertise in distributed systems and messaging architectures (Kafka, RabbitMQ, TIBCO, or equivalent) • Solid understanding of architectural patterns: microservices, event sourcing, domain-driven design • Proficiency with SQL and NoSQL databases in high-volume environments • Strong async/await More ❯

specialising in Go to contribute to v1 builds, define architecture, and ship mission-critical backend systems from scratch. What you’ll do: Design & scale a fault-tolerant ledger (Golang, Kafka, CockroachDB/YugabyteDB) Architect distributed, multi-region infra with five-nines reliability Contribute to backend, DevOps, and CI/CD decision-making Embed AI into engineering workflows & ops Self More ❯

microservices, integration, and future-proofing systems. Tech environment (not all essential!): C#/.NET- essential SQL Server- essential Desktop experience (huge plus, particularly with WPF) Exposure/interest in Kafka, event-driven development, and microservices Desire to learn new programming languages and frameworks Why join? Hybrid working model, balance between office presence and remote flexibility. Guaranteed training & certifications, the More ❯

specialising in Go to contribute to v1 builds, define architecture, and ship mission-critical backend systems from scratch. What you’ll do: Design & scale a fault-tolerant ledger (Golang, Kafka, CockroachDB/YugabyteDB) Architect distributed, multi-region infra with five-nines reliability Contribute to backend, DevOps, and CI/CD decision-making Embed AI into engineering workflows & ops Self More ❯

building and managing data pipelines. In-depth experience with Google Cloud Platform (GCP) and its associated tools for data ingestion and processing. Familiarity with distributed streaming platforms such as Kafka or similar technologies. Advanced knowledge of SQL. Experience with data orchestration tools. Ability to optimize and refactor data pipelines for improved performance and scalability. Strong problem-solving skills and More ❯

specialising in Go to contribute to v1 builds, define architecture, and ship mission-critical backend systems from scratch. What you’ll do: Design & scale a fault-tolerant ledger (Golang, Kafka, CockroachDB/YugabyteDB) Architect distributed, multi-region infra with five-nines reliability Contribute to backend, DevOps, and CI/CD decision-making Embed AI into engineering workflows & ops Self More ❯

specialising in Go to contribute to v1 builds, define architecture, and ship mission-critical backend systems from scratch. What you’ll do: Design & scale a fault-tolerant ledger (Golang, Kafka, CockroachDB/YugabyteDB) Architect distributed, multi-region infra with five-nines reliability Contribute to backend, DevOps, and CI/CD decision-making Embed AI into engineering workflows & ops Self More ❯

and maintaining ML systems on Azure, including Azure Machine Learning, Azure Functions, Databricks, Docker, and Kubernetes. Experience with real-time data pipelines and streaming data using tools such as Kafka or Azure Event Hubs is a plus. Advanced degree (Master’s or PhD) in Computer Science, Machine Learning, or a related technical field. Strategic and hands-on, equally comfortable More ❯

and maintaining ML systems on Azure, including Azure Machine Learning, Azure Functions, Databricks, Docker, and Kubernetes. Experience with real-time data pipelines and streaming data using tools such as Kafka or Azure Event Hubs is a plus. Advanced degree (Master’s or PhD) in Computer Science, Machine Learning, or a related technical field. Strategic and hands-on, equally comfortable More ❯

and maintaining ML systems on Azure, including Azure Machine Learning, Azure Functions, Databricks, Docker, and Kubernetes. Experience with real-time data pipelines and streaming data using tools such as Kafka or Azure Event Hubs is a plus. Advanced degree (Master's or PhD) in Computer Science, Machine Learning, or a related technical field. Strategic and hands-on, equally comfortable More ❯

and maintaining ML systems on Azure, including Azure Machine Learning, Azure Functions, Databricks, Docker, and Kubernetes. Experience with real-time data pipelines and streaming data using tools such as Kafka or Azure Event Hubs is a plus. Advanced degree (Master’s or PhD) in Computer Science, Machine Learning, or a related technical field. Strategic and hands-on, equally comfortable More ❯

and maintaining ML systems on Azure, including Azure Machine Learning, Azure Functions, Databricks, Docker, and Kubernetes. Experience with real-time data pipelines and streaming data using tools such as Kafka or Azure Event Hubs is a plus. Advanced degree (Master’s or PhD) in Computer Science, Machine Learning, or a related technical field. Strategic and hands-on, equally comfortable More ❯

and maintaining ML systems on Azure, including Azure Machine Learning, Azure Functions, Databricks, Docker, and Kubernetes. Experience with real-time data pipelines and streaming data using tools such as Kafka or Azure Event Hubs is a plus. Advanced degree (Master’s or PhD) in Computer Science, Machine Learning, or a related technical field. Strategic and hands-on, equally comfortable More ❯

on leadership and communication, ensuring all key builds and improvements flow through this individual. Working with a modern tech stack including AWS, Snowflake, Python, SQL, DBT, Airflow, Spark, Kafka, and Terraform, you'll drive automation and end-to-end data solutions that power meaningful insights. Ideal for ambitious, proactive talent from scale-up or start-up environments, this position More ❯

on leadership and communication, ensuring all key builds and improvements flow through this individual. Working with a modern tech stack including AWS, Snowflake, Python, SQL, DBT, Airflow, Spark, Kafka, and Terraform, you'll drive automation and end-to-end data solutions that power meaningful insights. Ideal for ambitious, proactive talent from scale-up or start-up environments, this position More ❯

of the industry's brightest minds. Technical skills required: C#, .NET, Python, Blazor, REST APIs, gRPC, GraphQL, MS SQL Server. Any experience of the following will be useful: Docker, Kafka, Sentry, Grafana Degree education is preferred, but we will consider Software Engineers with the right level of technical ability for the role. We are looking for a C# Software More ❯

of the industry's brightest minds. Technical skills required: C#, .NET, Python, Blazor, REST APIs, gRPC, GraphQL, MS SQL Server. Any experience of the following will be useful: Docker, Kafka, Sentry, Grafana Degree education is preferred, but we will consider Software Engineers with the right level of technical ability for the role. We are looking for a C# Software More ❯

of the industry's brightest minds. Technical skills required: C#, .NET, Python, Blazor, REST APIs, gRPC, GraphQL, MS SQL Server. Any experience of the following will be useful: Docker, Kafka, Sentry, Grafana Degree education is preferred, but we will consider Software Engineers with the right level of technical ability for the role. We are looking for a C# Software More ❯

to design data models that are optimised for different user cases. Familiarity with SQL and experience working with and designing relational databases. Experience implementing data pipelines that run on Kafka or equivalent distributed event store and stream-processing platforms. Ability to debug and optimize failing or slow data pipelines and queries. Systems integration experience: networking, data migrations, API integration More ❯

to design data models that are optimised for different user cases. Familiarity with SQL and experience working with and designing relational databases. Experience implementing data pipelines that run on Kafka or equivalent distributed event store and stream-processing platforms. Ability to debug and optimize failing or slow data pipelines and queries. Systems integration experience: networking, data migrations, API integration More ❯

to design data models that are optimised for different user cases. Familiarity with SQL and experience working with and designing relational databases. Experience implementing data pipelines that run on Kafka or equivalent distributed event store and stream-processing platforms. Ability to debug and optimize failing or slow data pipelines and queries. Systems integration experience: networking, data migrations, API integration More ❯

to design data models that are optimised for different user cases. Familiarity with SQL and experience working with and designing relational databases. Experience implementing data pipelines that run on Kafka or equivalent distributed event store and stream-processing platforms. Ability to debug and optimize failing or slow data pipelines and queries. Systems integration experience: networking, data migrations, API integration More ❯

to design data models that are optimised for different user cases. Familiarity with SQL and experience working with and designing relational databases. Experience implementing data pipelines that run on Kafka or equivalent distributed event store and stream-processing platforms. Ability to debug and optimize failing or slow data pipelines and queries. Systems integration experience: networking, data migrations, API integration More ❯

to design data models that are optimised for different user cases. Familiarity with SQL and experience working with and designing relational databases. Experience implementing data pipelines that run on Kafka or equivalent distributed event store and stream-processing platforms. Ability to debug and optimize failing or slow data pipelines and queries. Systems integration experience: networking, data migrations, API integration More ❯