751 to 775 of 1,272 Kafka Jobs

proficiency level appropriate to the seniority of the role; Fluent in writing JAVA coding and experience with JVM compatible languages (Kotlin, Scala) Experience with Kafka or a similar platform. Experience working in Agile DevSecOps environments and Zero Trust Architecture Integrating with backing services, such as PostgreSQL, Redis ...

pacing or auction systemsExcellent communication skills, able to explain complex technical systems to commercial, operations and senior leadership teams. Experience with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse or similar production infrastructureExperience owning product roadmaps, release governance or cross-functional delivery across distributed teams and time zones. What ...

experience in software engineering, MLOps, and deploying machine learning models at scale.* Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure).* Industry knowledge: Experience in gaming or digital entertainment is a strong plus. ...

auction systems Excellent communication skills, able to explain complex technical systems to commercial, operations and senior leadership teams. Experience with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse or similar production infrastructure Experience owning product roadmaps, release governance or cross-functional delivery across distributed teams and time zones. What ...

Strong understanding of Node.js and TypeScript Strong understanding of modern web application development (APIs, Services, Architecture, Security) Experience with distributed messaging systems (SQS, RabbitMQ, Kafka, etc.) Experience with event-driven, micro-service architecture A self-starter able to independently gain knowledge and use new frameworks Comfortable using AI tools ...

equivalent experience navigating fast-paced startup lifecycles. Strong understanding of modern data warehouse architectures, real-time analytics, and data governance (e.g., BigQuery, Spark, Kafka). Deep technical expertise in Generative AI development (e.g., prompt engineering, model tuning, vector databases like Vertex AI Vector Search, and AI frameworks like LangChain ...

engage effectively with traders and salespeoplePreferred Qualifications: Experience in Java or Python (5+ years)Experience in Slang/SecDBExperience in messaging middleware such as Kafka or RabbitMQExperience in developing and testing distributed systemsDaily Activities: Engage with users to understand business workflows and define requirements. Implement new software solutions ...

design, implementation, and deployment of APIs is preferred. Knowledge of CI/CD measures and tools, such as GitHub Actions. Preferred: knowledge of Kafka, dbt or SQLMesh, deployment of data governance tools such as data quality or data catalogue solutions, deployment of semantic/metric layer solutions such ...

Databricks).* Experience with data integration (ETL/ELT, APIs).* Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) a plus.Domain Knowledge:* Exceptional understanding of the Funds business lifecycle, financial instruments, market data, and investment operations.* In-depth knowledge of regulatory reporting ...

understanding of software development fundamentals, data structures, design patterns, object‐oriented programming, and algorithms complexity analysis. Demonstrated experience with messaging technologies such as Solace, Kafka, etc. Practical experience with Chronicle and/or Aeron. Experience with distributed caching techniques. Proven track record in implementing and supporting market data processing ...

with traders and salespeople Preferred Qualifications: Experience in Java or Python (5+ years) Experience in Slang/SecDB Experience in messaging middleware such as Kafka or RabbitMQ Experience in developing and testing distributed systems Daily Activities: Engage with users to understand business workflows and define requirements. Implement new software ...

Graph Neural Networks (GNNs), Support Vector Machines (SVM), Natural Language Processing (NLP), or Transformers/LSTMs. Familiarity with real-time streaming data pipelines (e.g., Kafka). Domain experience within Fintech, E-commerce, or fast-scaling tech companies. Additional Information Interested? Find out more: How we work – a practical guide ...

Discipline: Able to scope an engagement, hold it, and upscale? Willing to travel to customer sites one to two times per month. Desired Skills Kafka or event-streaming experience. Exposure to LLM Gateways, MCP, A2A, or agent identity/authorisation patterns. Scripting or development background (Java, Python). Startup ...

Oracle, Snowflake, Databricks).Experience with data integration (ETL/ELT, APIs).Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) a plus. Domain Knowledge: Exceptional understanding of the Funds business lifecycle, financial instruments, market data, and investment operations. In-depth knowledge of regulatory reporting ...

part of our modernisation journey, will continue to introduce new technologies. Current technologies include: Java, Micronaut, PL/SQLReactJS, Next.jsAzure Cloud, Dynatrace (Observability)Mule, Kafka, MQBlue Yonder DispatcherWhat's in it for you? Working at M&S means being part of something bigger – helping to deliver quality, value ...

trading platform, including reference data, market data & FIX. Ability to balance multiple, time-sensitive projects while maintaining a longer term, strategic focus. Knowledge of Kafka, Python, SQL and/or Linux would be beneficial. Prior experience of a sequencer/event-based architecture, and/or Zero-GC Java. ...

design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks* Ability to think strategically and relate architectural ...

plus A strong understanding of observability, SLOs, alerting and cost management for large-scale systems Operational experience with our key infrastructure components: Kafka, MongoDB, PostgreSQL, Elasticsearch, and Istio Familiarity with LLMOps is a plus; helping shape how we operate LLM-powered systems at scale (model gateways and routing with ...

regulated industry experienceHigh-scale performance tuning (100k+ QPS, large user bases, strict latency SLAs)Multi-tenant SaaS or platform architecture backgroundProficiency with PostgreSQL, Redis, Kafka, or cloud platforms (AWS/GCP/Azure)Experience with OAuth2.0, API design, or developer documentationCross-region deployment or data residency compliance experienceSolutions engineering ...

with traders and salespeople Preferred Qualifications: Experience in Java or Python (5+ years) Experience in Slang/SecDB Experience in messaging middleware such as Kafka or RabbitMQ Experience in developing and testing distributed systems Daily Activities: Engage with users to understand business workflows and define requirements. Implement new software ...

technical team members In addition to the above, any of the following would be beneficial: Experience working on geospatial visualisation products Experience using Kafka and/or Kubernetes within a service-based architecture Experience working with relational and/or non-relational databases Benefits Private Medical Insurance Subsided ...

ability to connect functional requirements with technical implementation. Understanding of interfaces and integration concepts; experience with APIs and modern technologies such as Java, Kotlin, Kafka, cloud platforms or CI/CD is advantageous. Structured analytical thinking, careful attention to detail and a pragmatic approach to solving complex problems. Clear ...

formal authority. Deep expertise designing, building, and operating distributed systems and platforms at scale, in any domain Strong Familiarity with event-driven architectures (e.g. Kafka) and the tradeoffs of distributed systems at scale. Strong judgment on when to go deep versus when to zoom out: you can flex between ...

legacy source systems, structures and unstructured data) Proficiency with Parquet/Delta Lake or other modern data storage formats Experience with streaming architectures using Kafka, Event Hubs, or Kinesis for real-time data processing Knowledge of data architectures supporting AI/ML workloads, including vector databases, feature stores ...

about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit holeComfort operating across cloud-native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput — able to reason about trade-offs with confidence, without needing to be the most technically specialist ...