101 to 125 of 2,631 Kafka Jobs

TypeScript, CSS, Micro Frontend Development, JavaScript, optimization techniques and design patterns. Understanding UX design concepts like responsive web design. Backend Technology - Java/Spring, Kafka, NoSQL ( MongoDB, Cassandra ) Automation experience with Automated Functional Testing, Test Driven Development (TDD) and agile tools e.g., JIRA Experience in developing, debugging, and maintaining More ❯

varied workload, and a chance to pick up different tools and technologies. They work with a really modern tech stack; Java, SpringBoot, Microservices, Kubernetes, Kafka, AWS and more! Although experience with all of this is great, the organisation is much more interested in collaborative Engineers who can bring strong More ❯

expertise in Java, with experience from project inception to production, valuing well-tested software and feedback. Experience with Spring, Hibernate, REST APIs, JSON, Microservices, Kafka, and Postgres. Understanding of architecture and cloud-native principles. Knowledge of algorithms and data structures. Familiarity with test-driven development. Experience with container environments More ❯

varied workload, and a chance to pick up different tools and technologies. They work with a really modern tech stack; Java, SpringBoot, Microservices, Kubernetes, Kafka, AWS and more! Although experience with all of this is great, the organisation is much more interested in collaborative Engineers who can bring strong More ❯

environments. Frontend exposure (e.g., React) – not essential but beneficial. Familiarity with Kotlin or openness to working with Kotlin-based services. Messaging systems such as Kafka or RabbitMQ. Cloud platform experience (AWS, GCP, or Azure). Understanding of DevOps and infrastructure-as-code tools (e.g., Terraform, Ansible). Exposure to More ❯

EFS, VPC, DNS, IAM, KMS, CloudWatch, CloudTrail Configuration management: Ansible, Terragrunt, ArgoCD Build/Development: VS Code, Maven Event streaming platform (nice to have): Kafka messaging Container orchestration: Kubernetes, Docker, Security, Monitoring and logging: ACAS/Grype vulns scanning, SIEM (Splunk) Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana) Version More ❯

Experience working with cloud platforms (AWS preferred) and CI/CD pipelines. Strong understanding of relational databases (e.g., PostgreSQL) and messaging systems (e.g., RabbitMQ, Kafka). Nice to Have: Experience in the FinTech or lending space. Exposure to domain-driven design (DDD) and event-driven architecture. Knowledge of testing More ❯

/ML, or mobile platforms Frontend experience with React or Angular, TypeScript, CSS, JavaScript, and Micro Frontend frameworks 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 ❯

and CI/CD processes. Experience working with a large-scale legacy software system. Experience with tools such as Confluence, Eclipse, Jira, Jenkins, Junit, Kafka, and Spring Boot. Clearance Level TS/SCI This position requires an active DoD Clearance (Secret, Top Secret, Top Secret/SCI) or the More ❯

team collaboration. Strong analytical, troubleshooting, and communication skills Preferred Experience/Skillset: Experience with cross-domain solutions or secure data transfer mechanisms. Familiarity with Kafka or other distributed messaging systems. Experience with Debezium or other change data capture (CDC) tools. Exposure to NoSQL databases or document stores (e.g., MongoDB More ❯

approach to delivering solutions. Experience with containerisation and orchestration tools such as Docker and Kubernetes. Familiarity with event-driven architecture and message brokers (e.g., Kafka, RabbitMQ). Knowledge of front-end performance optimisation and accessibility standards. Exposure to machine learning pipelines or data engineering workflows. Prior experience working in More ❯

work under pressure in critical environments. Preferred Skills: Experience with containerization and orchestration technologies such as Docker and Kubernetes. Knowledge of messaging systems like Kafka, RabbitMQ, or similar. Background in banking or highly regulated environments. Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack). Understanding of More ❯

platforms such as GCP (BigQuery, Dataflow) or Azure (Data Factory, Synapse) Expert in SQL, MongoDB and distributed data systems such as Spark, Databricks or Kafka Familiarity with data warehousing concepts and tools (e.g. Snowflake) Experience with CI/CD pipelines, containerization (Docker), and infrastructure-as-code (Terraform, CloudFormation) Strong More ❯

platforms such as GCP (BigQuery, Dataflow) or Azure (Data Factory, Synapse) Expert in SQL, MongoDB and distributed data systems such as Spark, Databricks or Kafka Familiarity with data warehousing concepts and tools (e.g. Snowflake) Experience with CI/CD pipelines, containerization (Docker), and infrastructure-as-code (Terraform, CloudFormation) Strong More ❯

ago Glasgow, Scotland, United Kingdom 2 months ago Glasgow, Scotland, United Kingdom 5 days ago Senior Lead Software Engineer - Full Stack Developer Java/Kafka Glasgow, Scotland, United Kingdom 2 weeks ago Glasgow, Scotland, United Kingdom 2 weeks ago Glasgow, Scotland, United Kingdom 4 days ago Glasgow, Scotland, United More ❯

Docker, Kubernetes), RESTful APIs, microservices architecture, and big data technologies (Hadoop, Spark, Flink). Knowledge of NoSQL databases (MongoDB, Cassandra, DynamoDB), message queueing systems (Kafka, RabbitMQ), and version control systems (Git). Preferred Skills: Experience with natural language processing libraries such as NLTK, spaCy, or Hugging Face Transformers. Familiarity More ❯

platforms while meeting regulatory requirements. Tech stack: Micro-services Container Platforms (Kubernetes, CRC, Docker) NoSQL Databases (CockroachDB, Cassandra, Zookeeper, ArangoDB) Large-scale data processing (Kafka) Dependency injection frameworks (Guice) Splunk CI/CD Build tools: Maven, Git, Jenkins Frameworks: Spring Boot Real-time communication APIs (WebRTC, SIP, XMPP) Your More ❯

including Domain Driven Design, Test Driven Development and Java training presentation skills Distributed Systems and architectural experience of microservices, event driven architectures and serverless Kafka, Mongo, Elastic Search and Redis AWS Cloud including step functions, lambda and general AWS architecture The whole Spring ecosystem included Spring Boot, Spring Cloud More ❯

Kubernetes), and Infrastructure-as-Code (Terraform). Cursor AI is widely used too. Data-driven : Experience working with big data systems like Databricks, Spark, Kafka, Snowflake, or BigQuery. Familiarity with batch and streaming ML pipelines is ideal. LLM-curious : Hands-on exposure to LLMs or interest in working on More ❯

Run, et al.) and a clear understanding of when not to use them. Experience with message queues (SQS, PubSub, RabbitMQ etc.) and data pipelines (Kafka, Beam, Kinesis, etc.) You are an effective team player with effective communication, presentation and influencing skills. You have a passion for improving coding and More ❯

Python for our application code, APIs and SDK, and scripting SQL and NoSQL databases: PostgreSQL, Couchbase, DynamoDB Event-driven architecture, employing technologies such as Kafka, gRPC and Protobuf for event definitions Solver technology and algorithms to drive our workflow scheduling solver engine Deployment on AWS to IoT Greengrass, ECS More ❯

/server software architectures & networking, or microservice architectures. Experience using orchestration tools such as Kubernetes or Mesos. Experience with streaming architectures and tools (e.g. Kafka) About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments More ❯

Kubernetes), and Infrastructure-as-Code (Terraform). Cursor AI is widely used too. Data-driven : Experience working with big data systems like Databricks, Spark, Kafka, Snowflake, or BigQuery. Familiarity with batch and streaming ML pipelines is ideal. LLM-curious : Hands-on exposure to LLMs or interest in working on More ❯

in mock data generation and synthetic data creation for testing purposes Experience with distributed systems, microservices, and cloud technologies Understanding of data processing frameworks (Kafka, Spark, Airflow) and testing approaches Experience with containerization (Docker, Kubernetes) and cloud platforms (preferably Azure) Core Competencies: Solid experience in Object-Oriented Programming, data More ❯

Strong problem-solving skills and a pragmatic approach to engineering problems and a demonstrated willingness to learn new technologies Knowledge of message queues (SQS, Kafka, etc.) and asynchronous processing patterns Excellent written and verbal communication skills Nice To Haves Understanding of Agile or Kanban/Lean software development methodologies More ❯