251 to 275 of 931 Kafka Jobs

software engineering skills (Go, Python, or similar) applied to building internal tooling and automation, not just operational scripting. Broader knowledge across supportive technologies (e.g. Kafka, gRPC, Postgres/MongoDB, Redis, CI/CD such as GitHub Actions) and the ability to weigh trade-offs between them for a given ...

will continue to introduce new ones. Technologies currently include: Java, Spring, Spring Boot and Micronaut React, Next.js, TypeScript and Angular Azure Cloud and Kubernetes Kafka and IBM MQ SQL Server, MongoDB and Redis OpenTelemetry and Dynatrace Desirable Experience Experience within retail, international commerce, supply chain or logistics environments, including ...

operating complex, large‐scale distributed systems. You should have specific experience with both synchronous (e.g. REST APIs) and asynchronous (e.g. WebSockets, message queues like Kafka or RabbitMQ, event streams) communication patterns. Operational Resilience: Experience with High Availability or sophisticated disaster recovery strategies for global, 24/7 financial systems. ...

Technologies Familiarity with Kubernetes Experience with AWS Serverless services and S3 Infrastructure as Code using Terraform Data & Streaming Experience with Snowflake Experience working with Kafka Observability & Monitoring Knowledge of tools such as NewRelic or Grafana Desirable Criteria Familiarity with Salesforce Marketing Cloud and its APIs Familiarity with Coding Agent ...

ship elegant solutions to complex problems.Strong cross-group collaboration and interpersonal communication skills working across engineering organizations.Experience with Golang, Python, Kubernetes, Cassandra, Redis, Kafka, Elastic Search, Python, and/or similar technologies. You don’t need all of these, but you need at least one.Both a sense of humor ...

ExperienceWriting high-quality code in Scala, TypeScript, Java, Kotlin or another JVM languageRelational databases (e.g. Postgres, MySQL)NoSQL datastores (e.g. DynamoDB)Stream processing (e.g. Kafka)Experience building scalable web applications serving 10,000s of requests per secondDevOps culture (CI/CD pipeline)Ability to proactively find and solve complex ...

seamless experiences across product boundaries and a cohesive user experienceTechnologies We UseDifferent backend languages, including Java, Rust, Python and GoDistributed systems technologies such as Kafka, Cassandra, Elasticsearch and SparkDocker and Kubernetes for containerisation and orchestrationIndustry-standard build tooling, including Gradle and GitHubWhat We ValueA deep understanding of server-side ...

ability to build relationships across disciplines and communicate technical trade-offs to non-technical partners.We’d love to see experience with NoSQL databases, GraphQL, Kafka, or containerization (Docker/Kubernetes). Experience building tools or abstractions that provide leverage to an entire engineering team is also a significant plus. ...

tools and infrastructure-as-code practicesHands-on expertise with distributed data processing frameworks (e.g., Apache Spark, Hadoop) and real-time data streaming technologies (e.g., Kafka, Kinesis, Spark)Track record of collaborating with cross-functional teams (engineering, analytics, business stakeholders) to deliver impactful data solutionsExperience evaluating, selecting, and integrating emerging ...

layers to progressively refine raw event logs (Bronze) into verified subledgers (Silver) and structured Gold metrics.Stream Processing: Work closely with high-throughput messaging queues (Kafka) and real-time computation models to maintain our data freshness SLAs.Data Quality & Assurance: Embed rigorous, automated reconciliation checks within the data pipelines (e.g., balance ...

progressively refine raw event logs (Bronze) into verified subledgers (Silver) and structured Gold metrics. Stream Processing: Work closely with high‐throughput messaging queues (Kafka) and real‐time computation models to maintain our data freshness SLAs. Data Quality & Assurance: Embed rigorous, automated reconciliation checks within the data pipelines (e.g., balance ...

including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations Preferred qualifications Experience with streaming (Structured Streaming, Kafka/Event Hubs/Kinesis). Experience implementing data quality frameworks (Great Expectations, DQ) and data testing in CI. Exposure to Unity Catalog ...

including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations Preferred qualifications Experience with streaming (Structured Streaming, Kafka/Event Hubs/Kinesis). Experience implementing data quality frameworks (Great Expectations, DQ) and data testing in CI. Exposure to Unity Catalog ...

Kubernetes containerisation and orchestration Elasticsearch/Kibana Cloud services (AWS or Azure) Helm charts MongoDB Experience building enterprise level web applications or services Apache Kafka Benefits Competitive salary Contributory Pension Scheme (up to 10.5% company contribution) 6 times salary life assurance with pension 25 days holiday (increasing with service ...

implement database schemas, write and optimise SQL queries against PostgreSQL databases handling high‐volume transactional data Build and maintain event‐driven architectures using Apache Kafka for asynchronous processing of financial events across distributed services Develop and maintain a payment orchestration system that dynamically routes payments across Payment Service Providers ...

implement database schemas, write and optimise SQL queries against PostgreSQL databases handling high-volume transactional dataBuild and maintain event-driven architectures using Apache Kafka for asynchronous processing of financial events across distributed servicesDevelop and maintain a payment orchestration system that dynamically routes payments across Payment Service Providers to optimize ...

help refine problem statements and propose solutions taking effort-impact-scalability tradeoff into account.Some skills that will make you stand out: Apache Spark, Iceberg, Kafka, dbtScikit-Learn, XGBoost, PyTorch, MLFlow,, GraphFrames, RayAWS (S3, EMR, SageMaker, Lakeformation), Terraform, Docker, GitHub CI/CDKnowledge Graphs (+ RAG), graph ML, probabilistic programming ...

Excellent communication skills, both written and spoken An interest (or experience) in any of Functional Programming, Distributed Systems or Event-Driven Architectures (using Apache Kafka) Knowledge of decision engines wanted but not essential Able to architect custom AI solutions and smart automated systems that are safe, maintainable, and aligned ...

Experience/knowledge with public clouds (AWS, Azure or GCP). What Gives You an Edge Experience with Golang is advantageous. Experience using Apache Kafka is a big plus. About Business Unit IBM Software infuses core business operations with intelligence—from machine learning to generative AI—to help make ...

software development background with hands‐on experience in platform, infrastructure, or data‐centric environments Deep expertise in event‐driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar) Proficiency across full stack technologies (Java, .Net, React) with the ability to guide technical decisions Knowledge of hybrid/ ...

that provides cross-asset coverage to calculate various Credit Risk measures. FRA platform fraimWRX is distributed as AKS images. FraimWRX relies on Redis, Apache Kafka, Spark, HBASE and HDFS. Risk technology are using Kubernetes to deploy fraimWRX with a Python based Coordinator and Job Runner REST components. ...

design, development and support of scalable, cloud-native Java applications within an Agile, DevOps environment. You will build microservices and APIs, work with Kafka, Azure, Kubernetes and Docker, and mentor engineers while ensuring clean, maintainable code and high transaction performance. #J-18808-Ljbffr ...

driven solutions powering a modern fulfilment platform at scale. Required are extensive Java and Spring Boot expertise, a track record of delivering distributed microservices, Kafka-driven event streams and Azure deployments. #J-18808-Ljbffr ...

operate our platforms Requirements Strong backend engineering experience with cloud‐based systems (Azure, AWS or GCP) Experience designing distributed or event‐driven architectures (Kafka or similar) Proficiency in TypeScript/Node.js and/or Python Experience building scalable APIs and microservices Working knowledge of containers and cloud‐native delivery ...

working closely with engineers across the platform. Essential Skills & Experience Strong commercial experience with Node.js and TypeScript Experience building APIs and microservices Experience with Kafka, Kinesis, or similar streaming technologies Strong understanding of event-driven architectures Hands-on AWS experience Experience with SQL and/or NoSQL databases Familiarity ...