501 to 525 of 1,263 Kafka Jobs

lead technical execution. Preferred qualificationsExperience in fintech, payments, or other regulated domains. Experience with multi-tenant SaaS or platform architecture. Familiarity with PostgreSQL, Redis, Kafka, and cloud platforms such as AWS or GCP.Experience with API design, OAuth 2.0, or developer-facing platforms. Exposure to cross-region deployment, data residency ...

evaluation at scale: eval suites, red-teaming AI-generated code, benchmarking agent workflows. Multi-tenant SaaS architecture experience, CDC/event-driven ingestion (Debezium, Kafka, RabbitMQ/MassTransit), or lakehouse exposure (Microsoft Fabric). Azure services, Docker, Kubernetes/Helm. Experience with legal, security, or compliance frameworks ...

written communication skills are vital Experience in any number of additional technologies (listed below) is advantageous: Cloud Technologies (Kubernetes, Open Shift) Messaging Technologies (Kafka) Database/Data Store/Data Query Technologies (SQL Server, Mongo, S3) This job description provides a high-level review of the types of work ...

evaluation at scale: eval suites, red-teaming AI-generated code, benchmarking agent workflows. Multi-tenant SaaS architecture experience, CDC/event-driven ingestion (Debezium, Kafka, RabbitMQ/MassTransit), or lakehouse exposure (Microsoft Fabric). Azure services, Docker, Kubernetes/Helm. Experience with legal, security, or compliance frameworks ...

data processing within AWS. Hands‐on experience with foundational AWS services, such as; ALB, ECS, S3, ElastiCache, IAM, CloudWatch. Knowledge of implementing and maintaining Kafka-based event-driven services. Proficiency in either relational or NoSQL databases, with an understanding of database design, optimization, and management. Champion AI-powered development ...

tooling, and engineering processes. WHAT YOU WILL NEEDTechnical ExperienceStrong experience building backend systems using Kotlin or Java. Experience designing distributed, event-driven systems using Kafka or similar messaging technologies. Strong knowledge of PostgreSQL and relational database design. Experience working with Redis or other NoSQL technologies. Deep understanding of microservices ...

blue-green deployment methodology BS. or higher in Computer Science (or equivalent work experience) PreferredQualifications Experience withNode, Webpack, MobX, Redux Experience with Spring boot, Kafka Experience with Microservice architectures and REST API Experience with SQL databases (PostgreSQL/Oracle) and nosql (Dynamo/Mongo DB) Experience with AWS Experience ...

infrastructure using Terraform as modular, single-purpose stacks, supporting core services such as EKS, RDS (including Oracle), ElastiCache, S3, EFS, Amazon MSK (managed Kafka), KMS, Secrets Manager, EventBridge, SNS, CloudWatch, and Lambda Support Amazon EKS lifecycle operations, including cluster version upgrades, node group and add-on updates, and remediation … skills Experience with relational databases in the cloud (e.g., Oracle on RDS, SQL fundamentals) and event-driven messaging platforms (e.g., Amazon MSK/Kafka, EventBridge, SNS) Familiarity with containerization and platform engineering patterns (Docker, Kubernetes, Helm) and scripting for automation (e.g., Python) Familiarity with server-side development in Java ...

integration layers connecting applications to services like Amazon Bedrock, SageMaker, and OpenAI APIs for intelligent features Event-Driven Architecture: Building event-driven architectures using Kafka/MSK, AWS EventBridge, SQS, and SNS for real-time, scalable system communication Test-Driven Development: Responsible for comprehensive testing including unit tests, integration … DynamoDB, EventBridge, Step Functions AI/ML platforms: Amazon Bedrock, SageMaker, OpenAI APIs, or similar services Event-driven architecture: Messaging systems and asynchronous processing (Kafka/SQS) Infrastructure as Code: CloudFormation, CDK, or Terraform Container technologies: Docker, Kubernetes, AWS ECS/Fargate DevOps & observability: CloudWatch, X-Ray, Dynatrace, monitoring ...

Databricks Certified DataEngineer Professional/Databricks Certified Architect. Experience with: MLflow Databricks Machine Learning Feature Store Model deployment MLOps Knowledge of streamingtechnologies: Structured Streaming Kafka Experience with datagovernance, compliance,and enterprise securityframeworks. Key Competencies Strong Databricks architectureand implementation expertise. Ability to designscalableand cost-efficientLakehouse solutions. Strong troubleshooting andperformance optimizationskills. ...

traditional data warehouses An understanding of machine learning model development lifecycle, feature engineering, training and testing Good understanding or hands‐on experience of Kafka Experience as a DBA or developer on RDBMS such as PostgreSQL, MySQL, Oracle or SQL Server Experience designing data applications to meet non‐functional requirements ...

problem-solving skills; Ability to refine problem statements and propose solutions considering effort, impact, and scalability trade-offs; Nice to have: Apache Spark, Iceberg, Kafka, dbt, Scikit-Learn, XGBoost, PyTorch, MLFlow, GraphFrames, Ray, AWS S3, EMR, SageMaker, Lakeformation, Terraform, Docker, GitHub CI/CD, Knowledge Graphs, RAG, graph ...

Barclays in Knutsford or Northampton seeks a Senior Kafka Platform Engineer to design, build and improve scalable, secure streaming platforms used across the organisation. You will work with Confluent Kafka, Kafka Connect, Kubernetes and CI/CD tooling to deliver reliable data pipelines while collaborating with product ...

Applications Development Demonstrated knowledge of client core business functions Demonstrated leadership, project management, and development skills Relationship and consensus building skills Preferred Kafka/Event-Driven Architecture Apache Iceberg/Delta Lake Python AI/ML & LLM integration Financial Services/Capital Markets Education: Bachelor's degree/University ...

problem-solving skills Experience developing and maintaining production-grade applications Hands-on experience using AI tools in software development Good to Have: SQL Apache Kafka Experience working with distributed and scalable systems Experience working in Agile development environments AI Development Experience Candidates should be comfortable using modern AI-assisted ...

including trader‐facing tools. Experience 5+ years software engineering experience in building distributed systems. Excellent Java skills. Experience with streaming technologies (Apache Flink preferred; Kafka Streams, Spark Streaming, etc.). Solid understanding of event‐driven architecture and asynchronous processing patterns. Experience handling data consistency challenges such as at‐least ...

parallel task programming. Proven experience in ensuring robust testing quality practice and maintaining clean CI/CD pipelines. Experience working in Java/Kotlin, Kafka, ELK. Experience leveraging safely AI coding agents such as Devin, Copilot, Claude Code. Preferred Qualifications: Understanding of trade booking and life cycle processes Knowledge ...

Django, Docker Experience working with ETL pipelines is desirable e.g. Luigi, Airflow or Argo Experience with big data technologies, such as Apache Spark, Hadoop, Kafka, etc. Data acquisition and development of data sets and improving data quality Preparing data for predictive and prescriptive modelling Reporting tools (e.g. Tableau, PowerBI ...

data modelling, data warehousing, OLTP and data lake architecturesExperience working with cloud ecosystems such as AWS, Azure or GCPFamiliarity with tools such as Kafka, Airflow, Hive, Delta, or similar technologiesStrong understanding of software engineering principles and production supportExperience with Linux, containerisation and enterprise scheduling toolsKnowledge of data governance, security ...

their data services.Understanding of data modeling and data architecture principles.Experience with data warehousing concepts and technologies.Experience with message queues and streaming platforms (e.g., Kafka).Experience with version control systems (e.g., Git).Experience using Jupyter notebooks for data exploration, analysis, and visualization.Excellent communication and collaboration skills.Ability to work independently ...

Room Gradle CI/CD using GitHub Actions XML processing, XSLT, Saxon, JAXB Nice to have Distributed event streaming platforms (Azure Event Hubs, Apache Kafka) OAuth 2.0, OpenID Connect, JWT Google Web Toolkit (GWT), Kotlin multiplatform Benefits Competitive salary and bonus schemes Two weeks additional pay per year (holiday ...

across geographies. You will work on a greenfield project, mentoring engineers, and contributing to CI/CD and DevOps practices while leveraging Spring Boot, Kafka, PostgreSQL/NoSQL databases and Azure cloud to build reliable, scalable systems. #J-18808-Ljbffr ...

messaging architectures, cloud-native platforms, AI-driven engineering, and enterprise solution architecture. You will architect real-time payment workflows, implement event-driven microservices with Kafka/NATS, and guide AI-enabled development within a modern Kubernetes/Docker environment. #J-18808-Ljbffr ...

award-winning trading platforms and the tools that support software engineers to develop, test and deploy applications. We work with AWS, Linux, Kubernetes, Kafka, Redis, HAProxy, Consul, Grafana and OpenSearch, plus Terraform and more. Our stack includes C#/.NET, Node.js and Python, with Azure DevOps Pipelines and ArgoCD. ...

office). Bring 4–12 years’ experience to design, build, and scale Java-based AI-enabled applications. You will work with Java 17, Kafka, Spring Boot, and AWS, interfacing with stakeholders to clarify requirements and deliver robust software in a collaborative setting. The ideal candidate will be a self ...