9 of 9 Permanent Kafka Jobs in Tyne and Wear

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 ...

contribute to real-world projects from day one. What You'll Do Build and maintain RESTful APIs and microservices using Node.js Work with Kafka and AWS SQS to implement asynchronous messaging between services Use Terraform to define infrastructure as code and support automated deployments Containerize applications with Docker ...

decisions Tech environment includes: AWS, Azure, Kubernetes (EKS), ECS, Terraform, Airflow, EFK/Prometheus/Grafana, MySQL/PostgreSQL/Redis/Elasticsearch/Kafka, GitHub Actions, plus services written in Python, Node.js and Go. ...

scale data applications Product-driven mindset and experience working in fast-moving, tech-focused organisations (e.g. start-ups or scale-ups) Additional skills with Kafka, Cassandra, gRPC, and microservices design are highly advantageous Open-source contributions are a plus This is an excellent opportunity for a Backend Software Engineer ...

SaaS start-ups or high-growth scale-ups • Strong technical grounding across Node.js, Typescript, React, MySQL and cloud-native architectures (AWS, ECS/K8s, Kafka, Airflow) • Comfortable driving Agile and DevOps culture, and setting high standards for clean, testable, secure code in fast-moving environments If you want ...

Software Engineer Location: UK (Remote) Type : Permanent Job Description: • Design, develop, and maintain scalable backend services on AWS. Build event-driven architectures using SQS, Kafka, Kinesis, or RabbitMQ. • Develop high-performance applications using Scala. • Design and integrate data solutions using SQL and NoSQL databases (e.g., RDS, DynamoDB) • Build, deploy … with cross-functional teams to deliver resilient, cloud-native solutions. Must Have • Strong hands-on experience with Scala. • Experience with event-driven architectures (SQS, Kafka, Kinesis, RabbitMQ). Proficiency in SQL and NoSQL databases (Dynam DB, RDS). • Experience building and deploying applications on Kubernetes (EKS). Ask anything ...

Scala, AWS, Spark Streaming, DevOps, Bash Scripting. Job Description: Design, develop, and maintain scalable backend services on AWS. Build event-driven architectures using SQS, Kafka, Kinesis, or RabbitMQ. Develop high-performance applications using Scala. Design and integrate data solutions using SQL and NoSQL databases (e.g., RDS, DynamoDB) Build, deploy … solutions. Familiarity with Iceberg, and GCP/Big Query exposure. Must Have Strong hands-on experience with Scala. Experience with event-driven architectures (SQS, Kafka, Kinesis, RabbitMQ). Proficiency in SQL and NoSQL databases (DynamoDB, RDS). Experience building and deploying applications on Kubernetes (EKS). Bash Scripting Real ...

work with engineering to move models from idea to production. Tech Stack: Python, scikit-learn, PyTorch, TensorFlow/Keras, LangChain, Pydantic, Spark, Kafka, Databricks, MLflow, Azure, Docker, Kubernetes. Salary: Up to £100k Working Environment: Fully Remote in UK What you'll do Research, prototype, and deploy LLM use cases … processing) Build and tune models using scikit-learn, PyTorch, TensorFlow/Keras, and XGBoost Create data pipelines for batch and streaming with Spark and Kafka Use Databricks and MLflow for experiments, deployment, and monitoring What you'll bring Hands-on Python for data science and ML Practical experience with ...

Python Previously worked at a start up/smaller sized company 5 years+ experience Ability to build software which scales Building messaging queues e.g., Kafka (nice to have) This is entirely a Python back-end development role (Python 3), where the core framework used is FastAPI and Kafka ...