1 to 25 of 34 Kafka Jobs in Chesterfield

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 ❯

databases, such as PostgreSQL Knowledge of cloud services like AWS Proficiency with Docker and Kubernetes Experience with Git and version control practices Experience with Kafka, RabbitMQ, or similar technologies Familiarity with monitoring tools (e.g., Prometheus, Grafana) and logging frameworks Knowledge of DevOps principles Strong analytical and problem-solving skills 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 ❯

platforms (e.g., AWS, Azure) and microservices architecture. What Will Set You Apart Knowledge of DevOps tools and practices (e.g., Docker, Kubernetes). Experience with Kafka for real-time data streaming. Financial Services industry experience is advantageous but not essential. Strong communication skills and the ability to convey complex technical 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 ❯

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 ❯

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 ❯

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 ❯

SaaS, data lakes, apis, adtech, GDPR, CCPA, B2B, Sales Consultant, Account Manager, DataOps, CICD, DevOPs, CI/CD, GenAI, RAG, AWS, Azure, Apache, Spark, Kafka – UK Wide - £80,000-£95,000 + OTE Our large Microsoft Partner client requires a Senior Data Analytics Sales Consultant to help spearhead their 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 ❯

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 ❯

meetings and supporting colleagues and co-workers Estimation of work Write and run SQL queries to inspect backend-consumed data. Our technology stack includes Kafka/Kubernetes/Docker/Clickhouse/Git/Devops Experience & Qualities The ideal candidate wants to work on both front and back end 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 Doc1. ? Package Snapshot £50–55 k salary + up to 10 % bonus 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 ❯

will work alongside experienced developers who will be happy to support your growth Key requirements: Experience with Node.js Familiarity with message brokers like SNS, Kafka, or similar. AWS. Interest working with data would be a bonus. If you’re a Software Engineer who has a real interest in software More ❯

extensive experience with the ELK Technology stack, technical delivery, and the ability to provide technical leadership to the team. Experience with Splunk, databases, MQ, Kafka, DevOps, CI/CD pipelines, and payments domain knowledge would be advantageous. #J-18808-Ljbffr More ❯

architecture, leveraging Infrastructure as Code (IaC) and designing for cost efficiency—experience in regulated domains Deep knowledge of distributed and event-driven systems, like Kafka, AWS SNS/SQS, and development in languages such as Java and Python. Strong understanding of data-centric architecture principles, including data governance, data More ❯

management and communication skills. Ability to manage multiple priorities in a fast-paced, evolving landscape. Experience with relevant technologies (e.g., Azure Integration Services, MuleSoft, Kafka, etc.) is advantageous. A proactive mindset with a focus on continuous improvement and innovation. Competitive benefits package designed to support your wellbeing and lifestyle. More ❯

implementing, supporting, and evolving these patterns in production Messaging Tech : Proficiency in at least one asynchronous message-based system (e.g., RabbitMQ, Azure Service Bus, Kafka, etc.) What You'll Bring: A test-first, craft-focused engineering mindset Strong architectural instincts with a collaborative, debate-positive attitude Comfort with modern More ❯

legacy-to-cloud migration strategies Hands-on experience with AWS, Azure, or GCP and familiarity with cloud-native tools such as AWS Glue, DMS, Kafka, Azure Data Factory, and Google Dataflow Proven success in creating end-to-end client proposals—including resource planning, cost estimation, and high-level architectural More ❯

the below areas: Infrastructure as Code – (Ansible or similar) LDAP integration Experience of/understanding of Red Hat Openshift Experience of/understanding of Kafka Network and infrastructure security concepts Agile project management methodologies and scrum agile framework Regulatory environments such as PCI and GDPR Network and infrastructure security More ❯

key part in that journey? We're looking for a Senior Backend Engineer, proficient in Typescript & Node, with experience in relational databases, messaging (PostgreSQL, Kafka/RabbitMQ) and cloud platform experience. Experience in the space and a web3 stack isn't essential, but a keen interest and best engineering More ❯