51 to 75 of 159 Remote Kafka Jobs

to grow out the Oxford function with experienced Senior/Lead Java engineers, currently. Tech stack includes : Java, Springboot, Microservices, Python, AWS, CI/CD, AWS, REST apis, TDD, Kafka and agile.Salary in the range of £100k - £120k, based in Oxford (hybrid), 8% pension, health and dental insurance, 25 days holiday and two stage interview process.Interested in learning more More ❯

Java 8)- Sc Security Cleared- Essential Expereince Extensive Java development skills in Java 8 or above and Java leaderships expereince. Strong expertise in Java 8, microservices, event-driven systems. Kafka – production clusters, consumer lag, scaling, tuning, troubleshooting. MongoDB – replication, sharding, performance tuning, backups/restores. AWS – EC2, VPC, S3, RDS, IAM, ALB/NLB; HA design and cost optimisation More ❯

d love you to have... Understanding of cloud computing security concepts Experience in relational cloud based database technologies like Snowflake, BigQuery, Redshift Experience in open source technologies like Spark, Kafka, Beam Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in an agile environment Here’s a taste of the More ❯

d love you to have... Understanding of cloud computing security concepts Experience in relational cloud based database technologies like Snowflake, BigQuery, Redshift Experience in open source technologies like Spark, Kafka, Beam Good understanding of Cloud providers – AWS, Microsoft Azure, Google Cloud Familiarity with DBT, Delta Lake, Databricks Experience working in an agile environment Here’s a taste of the More ❯

backend services using Java and Spring. Work with databases, including SQL (e.g., Postgres) and NoSQL (e.g., DynamoDB). Build, test, and optimize technical solutions. Develop event-driven systems leveraging Kafka for messaging. Work closely with cross-functional teams, including frontend engineers, UX, and product management. Contribute to architectural decisions, ensuring maintainability, scalability, and high performance. Take full ownership of More ❯

a plus. Solid understanding of CI/CD practices, ideally using Azure DevOps. Strong grasp of design patterns and SOLID principles. Nice to have: OAuth2, MongoDB, and RabbitMQ or Kafka Power BI, SSAS, SSIS, SSRS SpecFlow, TDD, TypeScript Azure Cloud Platform, especially Infrastructure as Code (Terraform) We offer: Were committed to creating an inclusive environment that embraces diversity and More ❯

for: Tech Stack Expertise - Skilled in TypeScript (Node.js mainly but also React, this role is more focussed on the backend) & Cloud technologies such as AWS. Familiarity of Kubernetes, GraphQL, Kafka, and Mongo would be desirable. Architecture & Problem-Solving - You have the ability to design systems that manage high traffic efficiently while integrating smoothly into complex environments. Tooling & Collaboration - Comfortable More ❯

mentoring and team development Experience working in or with financial services organisations is highly desirable Strong background in full-stack development with hands-on experience in Java, Spring Boot, Kafka, Microservices architecture, AWS, Angular and React Why join us Career coaching, mentoring and access to upskilling throughout your entire FDM career Assignments with global companies and opportunities to work More ❯

methodologies, and CI/CD practices. A good understanding of data protection, GDPR, and fintech security requirements. Nice to Have Exposure to event-driven architecture or message queues (e.g. Kafka). Experience integrating payment platforms like Stripe, PayPal, Plaid, or Open Banking. Exposure to Azure App Services. Knowledge of financial systems, accounting, or tax workflows. What We Offer This More ❯

methodologies, and CI/CD practices. A good understanding of data protection, GDPR, and fintech security requirements. Nice to Have Exposure to event-driven architecture or message queues (e.g. Kafka). Experience integrating payment platforms like Stripe, PayPal, Plaid, or Open Banking. Exposure to Azure App Services. Knowledge of financial systems, accounting, or tax workflows. What We Offer This More ❯

a production context. You are happy to learn new programming languages and frameworks as necessary. • Experience with large volumes of data and high throughput, low latency solutions built on Kafka and Kubernetes • You have experience with, and are interested in, contemporary approaches to service design, including the use of containers and container orchestration technologies, streaming data platforms, APIs, and More ❯

on technologies and operational service delivery. Communication and collaboration with multiple teams over a range of projects. Technical experience Our current technology stack primarily comprises: node.js, Java/Spring, Kafka and MongoDB running in AWS and some exposure to these technologies would be beneficial. Proven commercial experience of a selection of the following technologies/skills is essential: Microservices More ❯

preferred but not required) Strong Python programming and data engineering skills (Pandas, PySpark, Dask) Proficiency with databases (SQL/NoSQL), ETL processes, and modern data frameworks (Apache Spark, Airflow, Kafka) Solid experience with cloud platforms (AWS, GCP, or Azure) and CI/CD for data pipelines Understanding of data privacy and healthcare compliance (GDPR, HIPAA, ISO 62304) Strong software More ❯

technical leadership, stakeholder management, and hands-on experience with enterprise-scale migrations.??? Tech Environment: STIBO STEP (PIM)? Java 17+ (Java 21 preferred) Micronaut/Spring Boot? JUnit/Mockito? Kafka/MongoDB? GraphQL Federation/REST APIs? Gradle? Terraform/OpenTelemetry/Dynatrace Key Responsibilities: Architect and lead the end-to-end migration of STIBO STEP to SaaS Collaborate More ❯

enhancements to complex Payments and client systems within a microservices environment (300 services). You'll be working with a modern tech stack using C# .Net Core, AWS, Kubernetes, Kafka, Redis and TypeScript/Angular; using the right tool for the job, you'll be able to pick up new technologies and make recommendations for improvements. WFH Policy: You More ❯

Education Cloud-Student Systems Implementation Desirable Experience Knowledge of student lifecycle processes in Higher Education and relevant data domains. Knowldge of event-driven and message-based architectures (Event Hub, Kafka, or Service Bus) Experience with monitoring and observability tools like Azure Monitor, Application Insights, and Log Analytics. Awareness of data security, GDPR, and compliance in educational or public sector More ❯

infrastructure or data platforms, with proven ability to solve complex distributed systems challenges independently Expertise in large-scale data processing pipelines (batch and streaming) using technologies such as Spark, Kafka, Flink, or Beam Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration More ❯

infrastructure or data platforms, with proven ability to solve complex distributed systems challenges independently Expertise in large-scale data processing pipelines (batch and streaming) using technologies such as Spark, Kafka, Flink, or Beam Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration More ❯

infrastructure or data platforms, with proven ability to solve complex distributed systems challenges independently Expertise in large-scale data processing pipelines (batch and streaming) using technologies such as Spark, Kafka, Flink, or Beam Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration More ❯

infrastructure or data platforms, with proven ability to solve complex distributed systems challenges independently Expertise in large-scale data processing pipelines (batch and streaming) using technologies such as Spark, Kafka, Flink, or Beam Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration More ❯

infrastructure or data platforms, with proven ability to solve complex distributed systems challenges independently Expertise in large-scale data processing pipelines (batch and streaming) using technologies such as Spark, Kafka, Flink, or Beam Experience designing and implementing large-scale data storage systems (feature stores, timeseries databases, warehouses, or object stores) Strong distributed systems and infrastructure skills (Kubernetes, Terraform, orchestration More ❯

AWS Cloud (GovCloud/C2S). Familiar with Amazon Web Managed Services (AWS). Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS, SNS, Kafka, AWS Lambda, NiFi, Airflow, or similar. Proficient experience utilizing JavaScript, Elasticsearch, JSON, SQL, XML. Working knowledge with datastores MongoDB/DynamoDB, PostgreSQL, S3, Redshift, JDBC/ODBC, and Redis. More ❯

of Linux operating systems and scripting languages (e.g. Python) Knowledge of infrastructure as code and container technologies (e.g. Puppet, Docker) Knowledge of COTS integration technologies (e.g. Apache Camel, Apache Kafka) Experience of Atlassian tools (e.g. Jira, Confluence) Experience with public cloud platforms (e.g. AWS) Experience of the complete system life cycle from problem definition through to deployment Understanding of More ❯

Data Engineer, Tech Lead, Data Engineering Manager etc. Proven success with modern data infrastructure: distributed systems, batch and streaming pipelines Hands-on knowledge of tools such as Apache Spark, Kafka, Databricks, DBT or similar Experience building, defining, and owning data models, data lakes, and data warehouses Programming proficiency in Python, Pyspark, Scala or Java. Experience operating in a cloud More ❯

into the bigger picture. Essential Skills Significant demonstrable experience in one or both of: modern software engineering for digital products (ideally Java, microservice architectures, Hexagonal software architecture, Mongo and Kafka); OR designing and implementing modern cloud infrastructure, DevOps, and automation (ideally AWS, Terraform, GitLab CI, Jenkins); Significant demonstrable experience of leading engineering teams providing technical leadership and guidance, and More ❯