1 to 25 of 87 Remote/Hybrid Permanent Kafka Jobs

practices Desirable Experience Docker or Kubernetes container environments DevOps/Infrastructure-as-Code tools such as Terraform Event-driven architectures or messaging tools ( RabbitMQ, Kafka ) Authentication and security standards ( OAuth, JWT ) Serverless architectures Experience working in Agile/Scrum delivery teams Personal Attributes Strong communication and collaboration skills Ability ...

agile methodologies. Excellent problem-solving abilities, strong analytical skills, and clear communication skills (verbal and written). Preferred Qualifications Experience with message brokers (e.g., Kafka, RabbitMQ) and event-driven architectures. Knowledge of data warehousing concepts and ETL processes. Experience with build tools such as Maven or Gradle, and version ...

delivering solutions. Desirable 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 startup ...

exposure to NoSQL (MongoDB) . Proven capability in debugging, optimisation, and performance tuning in distributed environments. Additional Skills (Nice to Have) Familiarity with Kafka , Solace , or similar messaging technologies. Exposure to cloud-native development : AWS, OpenShift, Kubernetes, Docker. Understanding of inventory funding , securities lending , and settlement workflows . Experience ...

teams within fast-paced environments. Deep expertise in: Python (Django, Flask, or FastAPI) PostgreSQL (design, optimisation, maintenance) Containerisation (Docker/Kubernetes) Event-driven architecture (Kafka/RabbitMQ) Desirable experience includes: TypeScript/JavaScript (NextJS, NodeJS, Tailwind) Terraform and DevOps practices Experience in building and scaling SaaS platforms in production. ...

deliver robust, scalable, and secure services. With a strong foundation in backend technologies, including Java and Spring Boot, and event-driven systems such as Kafka, you’ll influence systems well beyond your own code, ensuring architectural integrity and high engineering standards across multiple teams. You’ll play a pivotal ...

databases such as Oracle, MongoDB, SQL, or other RDBMS Experience using BI tools (e.g. Tableau ) Linux experience AWS/Cloud technologies Spring Boot Apache Kafka JIRA 💼 What’s In It for You 10 weeks of fully paid CDS Software Engineering training Guaranteed 2-year placement with a leading financial ...

partner technologies for modernization Design architectures incorporating: Mainframe ‘In-place modernization and optimization’ , and Mainframe ‘Exit-to-Cloud’ Event-driven architectures (AWS EventBridge, Apache Kafka, IBM MQ) for real-time integration and decoupling. Strangler Fig patterns for incremental modernization without disrupting business operations. Domain-driven design , microservices ...

based workflows, code reviews, and CI/CD practices. Preferred Qualifications: Experience with Azure cloud services. Exposure to streaming or event-driven architectures (e.g., Kafka, Kinesis). Experience with infrastructure as code (e.g., Terraform) and containerisation (e.g., Docker, Kubernetes). Understanding of data governance, lineage, cataloguing, and security best ...

based workflows, code reviews, and CI/CD practices. Preferred Qualifications: Experience with Azure cloud services. Exposure to streaming or event-driven architectures (e.g., Kafka, Kinesis). Experience with infrastructure as code (e.g., Terraform) and containerisation (e.g., Docker, Kubernetes). Understanding of data governance, lineage, cataloguing, and security best ...

working with Red Hat OpenShift and Ceph storage platforms Programming experience (e.g. Python, JavaScript) Experience working with event streaming and data pipeline technologies (e.g. Kafka, Apache NiFi, Apache Spark) Experience delivering multi-system integration projects within defence, government, or highly regulated environments Experience implementing and configuring training simulation technologies ...

working with Red Hat OpenShift and Ceph storage platforms Programming experience (e.g. Python, JavaScript) Experience working with event streaming and data pipeline technologies (e.g. Kafka, Apache NiFi, Apache Spark) Experience delivering multi-system integration projects within defence, government, or highly regulated environments Experience implementing and configuring training simulation technologies ...

working with Red Hat OpenShift and Ceph storage platforms Programming experience (e.g. Python, JavaScript) Experience working with event streaming and data pipeline technologies (e.g. Kafka, Apache NiFi, Apache Spark) Experience delivering multi-system integration projects within defence, government, or highly regulated environments. Experience implementing and configuring training simulation technologies ...

Experienced with any of the following: Cloud technologies AWS modules: CloudWatch (logging), Athena, EC2, Lambda, storage (S3, EBS), databases (RDS, DynamoDB) stream-processing platform: Kafka, webhook, protos Docker and Kubernetes (nice to have ...

technical stakeholders. Nice to have Background in commodities, energy trading, power/gas or renewables markets. Experience with streaming and real‐time data (Kafka, Kinesis or similar). Familiarity with infrastructure‐as‐code (CloudFormation, CDK, Terraform) and observability tooling (Grafana, Prometheus, CloudWatch). What’s on offer Competitive base ...

developers, and set engineering standards Experience working in Agile environments Nice to have: Containerisation experience (Docker, Kubernetes) Nice to have messaging integration experience with Kafka or RabbitMQ Exposure to event-driven architectures Experience integrating systems within membership, retail, leisure, or consumer-facing industries Security, identity, or enterprise authentication experience ...

publishers and manage commissions and transactions using an event-driven architecture. We use an exciting array of technologies, including Java/Spring, AWS Lambda, Kafka, NodeJS, SQL/NoSQL databases, and more. Key tasks and responsibilities Work within a small, collaborative team using agile methodologies and practices Take ownership ...

modern DevOps culture with CI/CD, automated testing, and infrastructure as code Tech stack: React, Node.js (Nest.js), Python/FastAPI, AWS (ECS), PostgreSQL, Kafka, Terraform, GitHub CI/CD Testing: Jest, Cypress, Pact, Pytest What they’re looking for: • Strong experience building distributed systems/microservices architectures • Deep ...

Knowledge of SQL and databases (relational and/or NoSQL). Experience with distributed systems. Familiarity with Big Data ecosystem tools (e.g., Hadoop, Hive, Kafka - a plus). Experience with Cloud environments (AWS, Azure, or GCP - a plus). Knowledge of version control (Git) and CI/CD practices. ...

high‐performance analytics across multiple engines. Programming: Expert‐level proficiency in Java , Python and SQL . Big Data & Orchestration: Hands‐on experience with Spark, Kafka, and orchestration tools like Apache Airflow, Dagster, or dbt. Data Modeling: Deep understanding of data warehousing and modern data lakehouse architecture. Leadership & Soft Skills ...

Spring and Angular with cloud-based environments using Docker, Kubernetes and BPMN technologies. Depending on the context, some of our teams also use MongoDB, Kafka, Python, RabbitMQ, Elastic Search, PostgreSQL and Kotlin. Location: Lisbon Regime: Hybrid Model If this role matches your experience and the kind of challenges ...

systems Experience integrating with third-party APIs End-to-end ownership of systems (design build operate) Technical Expertise Event-driven architecture (EventBridge, SQS, SNS, Kafka) Reliability patterns (retries, idempotency, DLQs) Observability and debugging in distributed systems Data modelling and schema evolution Leadership & Collaboration Ability to lead technical design ...

into high-quality code using Python, Scala, or Java. Innovation: Evaluate and implement new technologies across Cloud (Azure, AWS, GCP) and Big Data (Spark, Kafka) stacks. Collaboration: Work closely with business teams to define data flows and ensure security protocols (encryption/authentication) are met. Technical Toolkit Languages: Proficiency ...

power intelligent decision-making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real-time streaming pipelines and event-driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using AWS managed ...

Microsoft Azure Data Engineer or Solutions Architect certification (desirable). Databricks Certified Data Engineer or Machine Learning Associate (desirable). Experience with streaming solutions (Kafka, Event Hubs, Spark Streaming) (desirable). Knowledge of machine learning and AI on Databricks (desirable). ...