11 of 11 Kafka Jobs in Basingstoke

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 ...

Ability to establish trusted partnerships with product heads, and executive level stakeholders Comfortable with Agile Operating Models Experience with microservice based architecture Experience with Kafka, MongoDB, Spring, vert.X Familiar with one or more of the following: Distributed systems NoSQL and relational databases Distributed messaging Transactional services Our Commitment ...

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 ...

Experience architecting and maintaining distributed backend systems. Strong understanding of integration patterns, API design, and scalable service architecture. Nice To Have Node.js, PHP, MongoDB, Kafka, React (for back office apps) Contract Details 6-month contract — extension highly likely due to roadmap depth Outside IR35 Fully remote within Europe Apply ...

generalist mid-level backend position within the Ads Organization. Technologies used on the team include: Languages: Go, Python, Scala Frameworks: Spark, Thrift, Kafka Data stores: Postgres, BigQuery, Redis, Druid Tools: Kubernetes, Airflow, Docker Job responsibilities: You will work with the existing engineering team and help contribute to the direction ...

with appetite to learn on the job PostgreSQL expertise Automated testing mindset (ideally TDD) Solid grounding in design patterns Cloud deployment experience (Kubernetes preferred) Kafka, Debezium or broader event-driven systems knowledge AWS experience You'll Thrive Here If You Are... Fuelled by purpose, not perks Excited by scale ...

fast-paced, challenging environment. Key Responsibilities: Design, implement, and debug ETL pipelines to process and manage complex datasets. Leverage big data tools, including Apache Kafka, Spark, and Airflow, to deliver scalable solutions. Collaborate with stakeholders to ensure data quality and alignment with business goals. Utilize programming expertise in Python ...

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 ...

Responsibilities Develop and maintain backend services and APIs using Node.js Build responsive, accessible frontend components using modern JavaScript frameworks Design event-driven systems using Kafka and SQS Implement infrastructure automation with Terraform Deploy and manage services in AWS (ECS, Cognito, SQS) Containerise applications using Docker Collaborate across DevOps, design … stack development with Node.js Strong understanding of RESTful API design and microservices Experience with frontend frameworks (React, Vue, etc.) Familiarity with event-driven systems (Kafka, SQS) Proficiency in AWS services and cloud-native deployment Experience with Terraform and Docker Comfortable working in agile, collaborative environments Diversity & Inclusion Here ...

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 ...