14 of 14 Kafka Jobs in Surrey

latency. Perform benchmarking and profiling. Design and maintain microservices architectures. Implement service communication, load balancing, and observability. Work with message queues (e.g., Kafka, NATS, RabbitMQ). Deploy applications to cloud platforms (AWS, GCP, Azure). Use containerization tools (Docker) and orchestrators (Kubernetes). Implement CI/CD pipelines. Database ...

techniques Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP), real-time data distribution (Kafka, Dataflow), and modern data warehouse tools (Snowflake, Databricks) Skilled in selecting and architecting AI frameworks (e.g., TensorFlow, PyTorch, Hugging Face), cloud platforms (Azure ...

produce. Apache Maven Desirable Skills And Experience Industry experience of any of the following technologies/skills would be beneficial: Elasticsearch Docker Apache Hadoop, Kafka or Camel. Javascript Knowledge of both Windows and Linux operating systems. Kubernetes Nifi Nsq Apache Ignite Arango Why BAE Systems? This is a place ...

right to work without visa restrictions. About you: You have strong backend software engineering experience with TypeScript and Node.js You have experience with Kafka and Event Driven Architectures You have a good knowledge of microservices, RESTful APIs and scalable system architecture You have experience of working with relational ...

from you. Ideally, you'll bring experience with some of the following: JavaScript/TypeScript (Node.js, React) or Python Distributed systems and event streaming (Kafka, Kubernetes) Databases and search indexes (MongoDB, Redis, Elasticsearch) Modern DevOps practices and CI/CD pipelines Benefits Why we think you'll love ...

from you. Ideally, you'll bring experience with some of the following: JavaScript/TypeScript (Node.js, React) or Python Distributed systems and event streaming (Kafka, Kubernetes) Databases and search indexes (MongoDB, Redis, Elasticsearch) Modern DevOps practices and CI/CD pipelines Benefits Why we think you'll love ...

resilient, scalable, and fault-tolerant applications. Strong knowledge of relational databases and modern data storage technologies . Familiarity with service-to-service communication (gRPC, Kafka) and caching (Redis). Experience with AWS cloud services (S3, RDS) and deployment practices. Familiarity with containerization and orchestration (Docker, Kubernetes, Helm). Strong ...

microservices concepts. Mentorship & Guidance: A passion for developing team members, guiding complex technical decisions, and fostering a collaborative engineering culture. Nice to have: Kafka Oracle CI/CD (Jenkins) AWS Why Join Our Client's Mission? Meaningful Work: Directly accelerate the development of new, life-changing medicines by building ...

shared across the team for technical feedback. In This Job, You Will Bring These Skills Skills/Experience - Required: Streaming data systems - using Kafka, Spark, Map/Reduce or similar to process large data sets Experience with building and operating distributed systems and services at a high scale (~billions ...

3+ years of software engineering experience. Proficiency in Rust, especially in building network services or asynchronous systems. Strong understanding of distributed systems, RPC protocols, Kafka, and event-driven architectures. A security-first mindset and the ability to debug issues across OS, network, and application layers. Proven experience designing, owning ...

ensure successful project delivery, adhering to client timelines and quality standards. Implement and manage real-time and batch data processing frameworks (e.g., Apache Kafka, Apache Spark, Google Cloud Dataproc) in line with project needs. Build and maintain robust monitoring, logging, and alerting systems for client projects, ensuring system health … designing and optimising data pipelines using frameworks like Apache Airflow or equivalent. Demonstrated experience with real-time and batch data processing frameworks, including Apache Kafka, Apache Spark, or Google Cloud Dataflow. Proficiency in CI/CD tools such as Jenkins, GitLab CI/CD, or Cloud Build, along with ...

ensure successful project delivery, adhering to client timelines and quality standards. Implement and manage real-time and batch data processing frameworks (e.g., Apache Kafka, Apache Spark, Google Cloud Dataproc) in line with project needs. Build and maintain robust monitoring, logging, and alerting systems for client projects, ensuring system health … designing and optimising data pipelines using frameworks like Apache Airflow or equivalent. Demonstrated experience with real-time and batch data processing frameworks, including Apache Kafka, Apache Spark, or Google Cloud Dataflow. Proficiency in CI/CD tools such as Jenkins, GitLab CI/CD, or Cloud Build, along with ...

multiple engineering teams. Lead the definition and enforcement of infrastructure as code (IaC), observability, and automation frameworks. Integrate streaming and messaging solutions such as Kafka, SQS, or SNS for data ingestion and event-driven processing. Provide architectural assurance across development, DevOps, and data engineering initiatives. Mentor and guide … monitoring tools. Strong grasp of security architecture, identity management, and network segmentation in cloud environments. Solid understanding of data flows, APIs, and asynchronous messaging (Kafka, SQS, SNS). Experience managing or leading technical delivery teams using Agile/Scrum frameworks. Excellent communication skills, capable of translating complex technical concepts ...

solutions: Design, train, and deploy machine learning models and workflows with a focus on production-readiness, leveraging tools like Docker Containers, Kubernetes, MLflow, Kafka, and AWS Services. Leverage vector databases and streaming systems: Design and implement solutions with vector databases and Kafka to handle large-scale, high-dimensional … such as FastAPI or stream processing libraries like Faust. Experience using tools like Jupyter Notebooks, AWS SageMaker, and AWS Bedrock. Hands-on expertise with Kafka and vector databases. Experience managing ML lifecycle workflows with MLflow. Deep understanding of LLMs and generative AI, with experience applying them to solve business ...