451 to 475 of 1,263 Kafka Jobs

working with MOD Accreditors; and Knowledge of Onsite/project tech stack includes but is not limited to Azure, AWS, Docker, Kubernetes, Apache (NiFi, Kafka), NodeJS, Typescript, MongoDB, AI, Machine Learning etc. Just as important are curiosity, strong problem solving ability, and the motivation to continuously improve how technology ...

ElastiCache).* Understand the AWS ecosystem and basic DevOps practices.* Apply knowledge of microservices, microfrontends, BFFs, and asynchronous communication systems (e.g., RabbitMQ, Apache Kafka, Amazon SQS).* Think in terms of business and product impact, not only implementation.* Demonstrate eagerness to learn and share knowledge with others.* Show independence ...

investment experience. You will work in squads, apply Java/Springboot with Kotlin, DynamoDB, Aurora/MySQL and AWS, design event-driven architectures with Kafka, and contribute to high-quality software through tests and code reviews. #J-18808-Ljbffr ...

tech lead. Ownership/Accountability: Have been responsible for the end to end delivery of technical products. The Key technologies: Java, Spring Boot, Azure, Kafka, React/Typescript, React Native, (Using AI Tools is a big Plus). Experience with API's, Microservices, Event Driven Architecture. (Greenfield Next Generation ...

performance systems Experience with microservices architecture, event-driven systems, and cloud platforms (AWS) Proficiency with Docker, CI/CD (GitHub Actions), and Git Bonus: Kafka/SQS, Terraform/CloudFormation, serverless (Lambda), or MLOps experience Interested? Apply now or send me a message for a confidential chat about ...

systems they work on, from design through to deployment and supporting them in production. Skills: Java and Spring Boot REST APIs and Kafka event-driven systems AWS (including S3, Lambda, ECS, EKS, MSK) TDD, CI/CD and IaC Observability AI assisted engineering The money is good ...

releases. Drive continual improvement in release processes, collaborating with agile delivery teams and leveraging knowledge of tools like Swagger/OpenAPI, Gradle, Liquibase, Kafka, React and Typescript. Nice to have: Immediate availability What you need to do now If you're interested in this role, click 'apply ...

building from scratch in a fast-moving, product-led environment Experience with vector databases and vector search in modern AI systems Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures Cloud experience (AWS, GCP or Azure), GCP is a plus Why join High impact and ownership ...

primary focus, but you'll also work across the core trading platform as it develops. Technology stack: Java/Python, AWS, Linux, Postgres, Kafka, Git. Requirements Solid working knowledge of Python and/or Java. Practical experience with relational databases and SQL (e.g. Postgres). Working command of Linux. ...

building from scratch in a fast-moving, product-led environment Experience with vector databases and vector search in modern AI systems Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures Cloud experience (AWS, GCP or Azure), GCP is a plus Why join High impact and ownership ...

plus. Nice to have experience: AWS Aurora Databricks PostgreSQL Exposure to or interest in the cryptocurrency technology ecosystem Technologies we use: PostgreSQL Java Kafka Terraform, K8, CDK Cloud Technologies including AWS We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. ...

deliver scalable, secure and maintainable solutions, while guiding the wider team on best practice You will need strong experience with Java, Spring Boot, AWS, Kafka and MongoDB, with a strong focus on modern engineering standards, service reliability and scalable cloud-based delivery. Key Responsibilities Design and lead strategies ...

Java 11+) and Spring BootProven ability to design and lead backend architecture for complex platformsStrong experience with AWSExperience with Kubernetes and containerised environmentsKnowledge of Kafka and event-driven architecturesExperience designing RESTful APIs and microservice architecturesStrong understanding of SQL and NoSQL databasesExperience building and maintaining CI/CD pipelinesComfortable working ...

Familiarity with developing, testing and deploying with cloud providers (e.g. AWS, GCP, Azure). Experience with integrating with external/vendor APIs. Familiarity with Kafka messaging. Firm Mirae Asset Securities Co., Ltd. is the largest investment banking and stock brokerage company by market capitalisation in South Korea. It provides ...

teams to deliver secure, scalable solutions. Guiding broader teams on best practice is central to the position, requiring expertise in Java, Spring Boot, AWS, Kafka, and MongoDB. Responsibilities include leading strategies for reusable libraries and components while shaping technical direction. A strong focus on modern engineering standards, service reliability ...

fixed income tech stack Act as a technical leader, raising the bar across engineering standards and design decisions Tech Environment Java | React (Vite, NX) | Kafka/Solace/RabbitMQ | WebSockets/SSE | Rx | Kubernetes | SQL About You You are a strong technologist and technical leader with a passion ...

ElastiCache, IAM, CloudWatch Experience in developing and supporting backend systems for data processing within AWS Knowledge of implementing and maintaining Kafka-based event-driven services Knowledge of Jenkins and developing CI/CD pipelines Demonstratable ability to work effectively in a collaborative team environment, mentoring junior team members ...

/CD for data pipelines Nice to have AWS certification (Data Analytics Specialty or Data Engineer Associate) Experience with streaming data (Kinesis, MSK/Kafka) Familiarity with Infrastructure as Code (Terraform/CloudFormation) Experience with orchestration tools (Airflow, dbt) Experience in financial domain #J-18808-Ljbffr ...

modern API patterns. Strong understanding of RESTful API design, schema validation, and OpenAPI/Swagger. Experience working with messaging and eventing platforms such as Kafka, RabbitMQ, Azure Service Bus, MQTT, or similar. Cloud-native development experience is essential (ideally on Azure). Hands-on experience with containerisation (Docker ...

high‐performance, high‐concurrency, and highly available systems. Familiar with distributed systems and core backend technologies such as microservices architecture, message queues (such as Kafka/RabbitMQ), and service discovery (such as Etcd/ZooKeeper). Experienced with both SQL (such as MySQL/PostgreSQL) and NoSQL (such ...

skills in both high-level and low-level languages (Python & C++ or similar).Familiarity with modern distributed computing platforms (specifically: docker, kubernetes, ceph, mongodb & kafka).Theoretical proficiency in numerical computing, online algorithms, data structures, networking, databases, and operating systems. Familiarity with typical quantitative research toolchains including Numpy, Polars, Scikitlearn ...

Applications. Proven experience with protocols and technologies common in communication or high‐availability systems (e.g., TCP/IP, gRPC, messaging services like Kafka or RabbitMQ). Expertise in performance tuning, concurrency, and multithreading to achieve low‐latency processing. Strong understanding of security principles related to critical infrastructure. Excellent problem ...

security data strategy aligned with business and regulatory requirements Qualifications Strong experience with Elastic Stack and data engineering technologies such as Logstash, Beats, Kafka or similar Expertise in Elastic data modelling, indexing and performance optimisation Experience designing scalable log collection and processing architectures Knowledge of data governance, retention ...

ideal candidate will have the following skills and experience: Strong experience with Elastic Stack and data engineering technologies such as Logstash, Beats, Kafka or similarExpertise in Elastic data modelling, indexing and performance optimisationExperience designing scalable log collection and processing architecturesKnowledge of data governance, retention and security telemetry across cloud ...

areas would be advantageous: Conversational AI and dialogue management. Prompt engineering and Retrieval-Augmented Generation (RAG) . Real-time data streaming platforms such as Kafka . Vector databases including Pinecone, Milvus or Qdrant . Model compression and optimisation techniques including INT8/FP4 quantisation, pruning and knowledge distillation . ...