1 to 25 of 43 Kafka Jobs in Northampton

critical projects. Familiarity with Infrastructure as Code (IaC) tools like Terraform , CloudFormation , or AWS CDK . Exposure to event-driven or reactive architectures (e.g., Kafka, Pub/Sub, or similar systems). #J-18808-Ljbffr More ❯

to translate business and research needs into engineering roadmaps. Collaborative mindset, capable of interfacing with multi-disciplinary teams. Nice to Have: Experience with Redis, Kafka, or similar real-time streaming/data platforms. Familiarity with financial APIs, FIX protocol, or trading exchange integrations. Education: Bachelor’s or Master’s More ❯

on cloud services such as AWS · Proficiency in Docker and Kubernetes for container orchestration. · Strong knowledge of Git and version control practices · Experience with Kafka, RabbitMQ, or similar technologies. · Familiarity with monitoring tools (eg - Prometheus, Grafana) and logging frameworks · Knowledge of DevOps principles and practices. · Strong analytical and problem More ❯

Machine Learning Development experience with VR frameworks such as Unity, Unreal Engine Experience with data streaming technologies such as Akka/Pekko, MQTT, Pulsar, Kafka, Azure Event Hubs Varied integration experience with RPC, REST, gRPC Experience/knowledge of Azure and Azure Resources or other SAAS/PAAS platforms More ❯

handling of sensitive data (e.g. GDPR) Experience in event-driven architecture, ingesting data in real time in a commercial production environment with Spark Streaming, Kafka, DLT or Beam. Understanding of the challenges faced in the design and development of a streaming data pipeline and the different options for processing More ❯

resiliency, and security practices Solid understanding of key technologies such as cloud, AI/ML, or mobile platforms Backend expertise in Java, Spring Framework, Kafka, and NoSQL databases (e.g., MongoDB, Cassandra) Preferred Qualifications Exposure to cloud technologies and services Experience designing and developing microservices-based architecture Commitment to continuous More ❯

Backed Technologies: Highly experienced in developing Java code, along with deep expertise within Spring boot OR Quarkus/GraalVM, Hands on with Messaging Systems (Kafka, RabbitMQ, Google Pub/Sub), SQL Databases CI/CD Pipelines and Agile development: Knowledge of continuous integration and delivery tools/practices, Scrum More ❯

with Java, J2EE, Spring Framework, JDBC, and ORM technologies like Hibernate. Knowledge of REST/Microservices, CI, unit testing frameworks, and messaging platforms like Kafka, MQ, Solace. Familiarity with XML/JSON, SQL, and database technologies such as MS SQL Server and Oracle. Experience working within an Agile or More ❯

you have built in production A track record of building enterprise-scale applications using Java and Spring Boot frameworks Building event-driven services using Kafka or similar technologies Some other highly valued skills include: Solid understanding of DevOps, CI/CD pipelines and software quality metrics Exposure to DDD More ❯

Knowledge of industry-standard solutions like Splunk and ELK is beneficial. Expertise in public cloud platforms, especially AWS. Knowledge of Enterprise Integration Patterns and Kafka is beneficial. Expertise in industry-standard DevOps solutions (e.g., Jenkins, GitLab, AWS CodePipeline). Financial services experience is advantageous. Ability to take a lead More ❯

Blazor) is advantageous. Experience with Azure DevOps, CI/CD pipelines, and Infrastructure as Code (Terraform) is a plus. Exposure to messaging patterns (RabbitMQ, Kafka) and authentication methods like OAuth2 is beneficial. A strong problem-solver who can work independently while effectively collaborating with cross-functional teams. Prior experience More ❯

you should have experience with: AWS Cloud & Architecture - VPC, IAM, ELB, ALB, EKS, ECS, Transit Gateways, Kubernetes, Secret Manager, Hashicorp Cyberark Data Processing - Java, Kafka, Streaming/Flink/REST APIs/gRPC/Spark Streaming & Batch Databases — NoSQL, AWS DynamoDB, MongoDB, Postgres/Oracle SQL DBs Some other More ❯

would be desirable: Postgres, Liquibase for database versioning Containerisation with Docker API design with Swagger/OpenAPI TDD (JUnit, Mockito), high code quality standards Kafka for event-driven architecture React, TypeScript Diversity & Inclusion: Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. More ❯

JUnit, Mockito CI/CD: Experience with Jenkins or similar pipelines Collaboration: Agile working with cross-functional teams Frontend experience with React & TypeScript Messaging: Kafka Build tools: Gradle API Design: Swagger/OpenAPI This role is ideal for engineers looking to build on their SC clearance and gain NPPV3 More ❯

and troubleshooting Documentation Participate in team meetings and support colleagues Estimate work Write and run SQL queries to inspect backend data Technology stack includes Kafka, Kubernetes, Docker, Clickhouse, Git, and DevOps Experience & Qualities The ideal candidate wants to work on both front-end and back-end projects. Keen to More ❯

experience w ith AWS EKS and containerized environments (Docker, Kubernetes). Proficiency with Postgr eS QL, R edis, and message queue systems (e.g., RabbitMQ, Kafka). Deep understanding of API design and best practices (REST, gRPC). Experience with CI/CD pipelines, monitoring tools (e.g., Prometheus, Grafana), and More ❯

and financial goals Shape the future of AI - influencing architecture, research, and cross-team learning. SKILLS AND EXPERIENCE Required Strong Python backend experience (Flask, Kafka, Docker, Kubernetes) 2+ years’ experience building or integrating AI (e.g. LLM, NLP) Clear passion for AI – side projects, research or professional experience Excellent communication More ❯

clear technical docs. Familiarity with RESTful microservices & modern DevOps workflow. Azure (AKS, Functions), DDD, CQRS, Event Sourcing, Kubernetes/Docker, IaC (Terraform/Bicep), Kafka/RabbitMQ, ADR/C4 expertise, open-source or community contributions. Package Snapshot £50–55k salary + up to 10% bonus, 25 days holiday More ❯

and clients. Other highly valued skills include: Extensive Product, Market, and Industry Knowledge of Application Integration Technologies such as Real-Time Messaging and Streaming (Kafka, IBM MQ, IBM ACE, Active MQ), File Transfer (IBM Connect Direct, IBM Sterling B2B Integrator, Stonebranch Universal Data Mover), Extract Transform and Load (IBM More ❯

and clients. Other highly valued skills include: Ample Product, Market and Industry Knowledge of Application Integration Technologies such as Real Time Messaging and Streaming (Kafka, IBM MQ, IBM ACE, Active MQ), File Transfer (IBM Connect Direct, IBM Sterlng B2B Integrator, Stonebranch Universal Data Mover), Extract Transform and Load (IBM More ❯

MuleSoft or Power Automate Deep knowledge of SQL, REST, JSON, XML Experience in Agile, API security, and cloud integrations Nice to Have MuleSoft CloudHub Kafka or similar pub-sub systems Finance industry experience Generous leave + private medical Enhanced parental policies Pension & bonuses Want to help shape smarter systems More ❯

experience with Azure-based development; AWS knowledge is a plus Familiarity with integration tools like Postman, API Management, and cloud messaging (e.g., Service Bus, Kafka) Solid grasp of testing strategies, design principles (SOLID, DRY), and microservice architecture Proactive mindset with excellent communication and time-management skills Why You'll More ❯

including data modeling, warehousing, real-time and batch processing, and big data frameworks. Proficiency with modern data tools and technologies such as Spark, Databricks, Kafka, or Snowflake (bonus). Knowledge of cloud security, networking, and cost optimization as it relates to data platforms. Experience in total cost of ownership More ❯

/reporting engines or OLAP stores Deep Ruby/Rails & ActiveRecord expertise Exposure to ClickHouse/Redshift/BigQuery Event-driven or stream processing (Kafka, Kinesis) Familiarity with data-viz pipelines (we use Highcharts.js) AWS production experience (EC2, RDS, IAM, VPC) Contributions to OSS or tech-blog posts on More ❯

and develop scalable, high-performance data processing applications using Scala. Build and optimize ETL pipelines for handling large-scale datasets. Work with Apache Spark, Kafka, Flink, and other distributed data frameworks to process massive amounts of data. Develop and maintain data lake and warehouse solutions using technologies like Databricks … of functional programming concepts (immutability, monads, higher-order functions). Experience with SQL and NoSQL databases (PostgreSQL, Cassandra, DynamoDB, HBase, MongoDB). Experience with Kafka, Flink, or other streaming frameworks . Experience with data security, lineage, and governance tools . Experience working in Agile environment. Preferred experience : Experience of More ❯