151 to 175 of 415 Remote/Hybrid Kafka Jobs

Spring Boot, Spring Framework and related ecosystems. Extensive experience developing scalable, event‐driven and domain‐driven solutions, applying DDD principles and technologies such as Kafka or RabbitMQ Strong knowledge of data persistence and database technologies, including Spring Data JPA, Hibernate, relational databases and NoSQL platforms such as PostgreSQL, MongoDB ...

Spring Boot, Spring Framework and related ecosystems. Extensive experience developing scalable, event‐driven and domain‐driven solutions, applying DDD principles and technologies such as Kafka or RabbitMQ Strong knowledge of data persistence and database technologies, including Spring Data JPA, Hibernate, relational databases and NoSQL platforms such as PostgreSQL, MongoDB ...

concepts to technical and non-technical stakeholders. Hands on experience of some or all of the following: Linux/Unix administration, e.g. Ubuntu, Debian Kafka PostgreSQL Kubernetes Istio Experience with automation/configuration management, e.g. Terraform, Puppet, Chef, Ansible Experience with AWS or GCP Desirable Experience with at least ...

testing and promote a thoughtful, test-driven approach across the team. A Typical Week Might Involve: Building and improving microservices usingJava, Spring Boot, Elasticsearch, Kafka, Gradle, Hibernate, Couchbase, SQL, and Docker Working with your team to design APIs and services that power our mobile experiences Contributing to technical discussions ...

quality software that is unit tested, code reviewed and checked in regularly for continuous integration. Bonus Points: Existing exposure to Python, Go, AWS, Cassandra, Kafka, Elasticsearch. Prior experience in the cybersecurity or intelligence fields. Front-end experience#LI-MZ1Benefits of Working at CrowdStrike: Market leader in compensation and equity awardsComprehensive ...

relational databases) and NoSQL databases. Experience with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working on AI or Machine ...

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 ...

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. ...

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 ...

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 ...

workflows, Azure DevOps (or similar), and SQL or document databases. Knowledge of modern software architecture and engineering practices. Experience with cloud platforms, microservices, Kubernetes, Kafka, stream processing or React would be advantageous. Experience providing technical guidance, knowledge sharing, and informal mentoring to other engineers. For the fixed-term opportunity ...

scalable, high-quality data solutions to support analytics, reporting and machine learning. Familiarity with real-time data processing, APIs and streaming technologies such as Kafka or Azure Event Hubs. Experience with CI/CD, Azure DevOps, GitHub Actions and Infrastructure as Code. Strong understanding of data governance, security ...

scalable, high-quality data solutions to support analytics, reporting and machine learning. Familiarity with real-time data processing, APIs and streaming technologies such as Kafka or Azure Event Hubs. Experience with CI/CD, Azure DevOps, GitHub Actions and Infrastructure as Code. Strong understanding of data governance, security ...

design exploration, prototyping and embedding AI capabilities into product workflows and services Event Driven Design: Experience designing systems using event-driven approaches (e.g. Solace, Kafka, Web Sockets, or similar technologies), with a solid grounding in Domain-Driven Design. Engineering Fundamentals: Strong grasp of SOLID principles, design patterns, dependency injection ...

Java with strong experience in Big Data technologies such as: Spark, Hadoop etc. Practical knowledge of building real-time event streaming pipelines (e.g., Kafka, Spark Streaming, Kinesis). Proficiency in AWS cloud environments. Proven experience developing modern data architectures including Data Lakehouse and Data Warehousing. A solid understanding ...

Quality; Reference Data. Cloud Platforms: Microsoft Azure; AWS; GCP. Modern Data Platforms: Databricks; Microsoft Fabric; PostgreSQL. Data Integration: Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures. Architecture & Modelling: TOGAF; DAMA; ArchiMate; Sparx Enterprise Architect. Data Governance: Microsoft Purview; Collibra; Informatica; Security ...

Quality. Reference Data. Cloud Platforms Microsoft Azure; AWS; GCP Modern Data Platforms Databricks; Microsoft Fabric; PostgreSQL Data Integration Azure Data Factory; API-led Integration; Kafka; ETL/ELT; Streaming and Event-Driven Architectures Architecture & Modelling TOGAF; DAMA; ArchiMate; Sparx Enterprise Architect Microsoft Purview, Collibra, Informatica, Security by Design, Data ...

delivering new features and improving/automating existing ones. Collaborate with your team members and engineering leaders to design complex event-driven services (using Kafka/SNS/SQS) and components using our Request For Comments (RFC) process. Coach and mentor less experienced team members, positively changing the trajectory ...

bottleneck is a process, not a pipelineYou're comfortable in the NGA stack or can get there fast: Go (backend), React/Next.js (frontend), Kafka/RedPanda (event-driven), PostgreSQL, running on Kubernetes (AKS)You communicate clearly with engineering leaders and product directors, this role shapes platform strategy ...

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 tools ...

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 ...

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 ...