126 to 150 of 257 Remote Kafka Jobs

with the ability to clearly articulate technical concepts to both technical and non-technical stakeholders. An interest (or experience) in any Distributed Systems or Event-Driven Architectures (using Apache Kafka). Proven track record of designing and implementing software architecture for complex applications, including considerations for scalability, maintainability, and security. Familiarity with CI/CD pipelines and deployment strategies More ❯

YouYou'll bring: Proven experience in data architecture, data modelling, and database design. Strong knowledge of cloud platforms (Azure, AWS, or GCP) and modern data technologies (e.g., Snowflake, Databricks, Kafka). Expertise in SQL, Python, or other data-centric programming languages. Familiarity with data governance, security, and compliance frameworks. Excellent communication and stakeholder management skills. Why Join Us? Competitive More ❯

YouYou'll bring: Proven experience in data architecture, data modelling, and database design. Strong knowledge of cloud platforms (Azure, AWS, or GCP) and modern data technologies (e.g., Snowflake, Databricks, Kafka). Expertise in SQL, Python, or other data-centric programming languages. Familiarity with data governance, security, and compliance frameworks. Excellent communication and stakeholder management skills. Why Join Us? Competitive More ❯

data products. Ensure solutions meet governance, compliance, and security standards. Skills & Experience: Proven experience as a Data Solution Architect or similar senior-level data architecture role. Strong knowledge of Kafka, Confluent, Databricks, Unity Catalog, and cloud-native architecture. Skilled in Data Mesh, Data Fabric, and product-led data strategy design. Experience with big data tools (e.g., Spark), ETL/ More ❯

stakeholder communication * Currently DV (Developed Vetting) Cleared Bonus if you have: DevSecOps, Agile or CI/CD experience, or exposure to tools like Azure, AWS, Kubernetes, NodeJS, MongoDB, or Kafka Do you want to work on some of the best projects in the MOD & Defence world for a high-growth company with long-term project pipelines and career opportunities More ❯

stakeholder communication * Currently DV (Developed Vetting) Cleared Bonus if you have: DevSecOps, Agile or CI/CD experience, or exposure to tools like Azure, AWS, Kubernetes, NodeJS, MongoDB, or Kafka Do you want to work on some of the best projects in the MOD & Defence world for a high-growth company with long-term project pipelines and career opportunities More ❯

Software Engineering, or a related Science, Engineering or Mathematics field and 5+ years of job-related experience, or a Master's degree plus 3 years of job-related experience Kafka (required) Linux (required) Java (required) React (required) Docker/Kubernetes (required) Preferred Qualifications: DevSecOps (preferred) Cloud Services (preferably AWS) MPLS/Networking (preferred) GitLab/Jenkins (preferred) Jira (preferred More ❯

efficiency and scalability. Skills & experience we are looking for: Tech Stack Expertise - Skilled in TypeScript (Node.js mainly but also React) & Cloud technologies such as AWS. Familiarity of Kubernetes, GraphQL, Kafka, and Mongo would be desirable. Leadership Experience - You have a strong track record in designing large-scale, cloud-based distributed systems and have previous experience leading an engineering team More ❯

efficiency and scalability. Skills & experience we are looking for: Tech Stack Expertise - Skilled in TypeScript (Node.js mainly but also React) & Cloud technologies such as AWS. Familiarity of Kubernetes, GraphQL, Kafka, and Mongo would be desirable. Leadership Experience - You have a strong track record in designing large-scale, cloud-based distributed systems and have previous experience leading an engineering team More ❯

Experience with automated test tools such as Selenium WebDriver or Cucumber. Proficiency in Java. Experience testing UI and large data sets. Understanding of microservices architecture. Other desirable skills Kubernetes, Kafka, BDD/TDD tools, accessibility standards, AWS, Postgres. Benefits Competitive pension, employee share plans, flexible health and lifestyle benefits, private health plans, shopping discounts, and potential annual incentives. Why More ❯

contexts. Strong .NET software engineering background. Deep expertise in Kubernetes (on-prem and cloud) and Terraform . Experience with real-time, event-driven systems and message brokers (e.g., RabbitMQ, Kafka). Strong grasp of telemetry, observability, and performance monitoring in distributed systems. Track record of technical leadership and setting engineering standards. Nice to Have: Experience with OpenTelemetry , Prometheus, Grafana More ❯

contexts. Strong .NET software engineering background. Deep expertise in Kubernetes (on-prem and cloud) and Terraform . Experience with real-time, event-driven systems and message brokers (e.g., RabbitMQ, Kafka). Strong grasp of telemetry, observability, and performance monitoring in distributed systems. Track record of technical leadership and setting engineering standards. Nice to Have: Experience with OpenTelemetry , Prometheus, Grafana More ❯

an Agile environment Nice-to-Have Good knowledge of functional programming languages Professional experience with at least one of Rust or Elixir Knowledge of TDD Knowledge of RabbitMQ/Kafka Why you'll love it here We want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty More ❯

process and protocols. Work with Global Teams and Citi Teams Qualifications: Experience in programming/debugging used in business applications knowledge of Java, react for front end, spring boot, Kafka, Distributed Cache/Systems Working knowledge of industry practice and standards Comprehensive knowledge of specific business area for application development Hands on experience on relational databases like Oracle with More ❯

Maven or Gradle Bonus Points Experience with Spring Boot (used for DI and config management) Experience with ORMs (we use Spring Data over JPA/Hibernate) Basic understanding of Kafka Soft Skills Thinks critically and spots gaps in test coverage Can read and extend existing test code Cares about test value, not just coverage numbers What's in it More ❯

Development Ability to adjust priorities quickly as circumstances dictate Key Skills and Experience required Extensive development experience, specifically with building User Interface's Technical skills in React, C#, DotNet, Kafka, SQL, Git Experience in performing QA Proven ability to work in high pressure environment Flexibility to work with a global team, across geographies and time zones Strong problem-solving More ❯

Uses database migration patterns, such as, "expand and contract" using go-migrate Writing observable and testable code using libraries such as testify and mockgen Publishing and consuming Avro formatted Kafka messages CI/CD GitHub Actions Trunk Based Development & Continuous Delivery Soft skills: Good collaboration skills at all levels with cross-functional teams Highly developed ownerships and creative thinking More ❯

accuracy and throughput Transform prototypes into production-ready data and ML applications that meet throughput and latency requirements Deploy and manage data and ML infrastructure necessary for productionising code (Kafka, Docker, Terraform, etc) Build efficient data pipelines between on-premise and cloud environments to handle text and audio data processing loads for ML models Deploy NLP models in cloud More ❯

including building, deploying, scaling and securing ML infrastructure in cloud-native environments. • Strong experience with AWS services including SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, DynamoDB, Kafka, CloudFormation and associated technologies such as Python • Proven ability to drive cross functional technical initiatives and deliver results through collaboration and alignment. Disclaimer This job description is a written More ❯

for? 5+ years of experience in engineering Strong node.js knowledge AWS or similar cloud experience Kubernetes, Helm and Docker knowledge Experience with Postgres/Mysql, RabbitMq/Nats/Kafka Strong system design and problem solving skills, we often deal with the "unknown" Strong communication skills, we often need to orchestrate projects with 20+ teams You are hands-on More ❯

our interview process can be completed in any language: Go to write our application code (there's an excellent interactive Go tutorial here ) Cassandra for most persistent data storage Kafka for our asynchronous message queue Kubernetes and Docker to schedule and run our services AWS for most of our production infrastructure and GCP for most of our data infrastructure. More ❯

specifications Build and evolve automated test suites using custom frameworks in Kotlin/Java Lead frontend testing (React/Playwright) and backend/API testing in an event-driven Kafka-based architecture Integrate testing into CI/CD pipelines using Docker, Kubernetes, GitHub Actions, and GitLab Contribute to strategies for non-functional testing, including performance, resilience, and security Collaborate … writing feature files and executable test specifications Hands-on experience with automated testing in Kotlin/Java Deep knowledge of testing APIs, services, and user interfaces Experience working with Kafka-based event-driven systems Solid understanding of CI/CD pipelines, cloud infrastructure, and containerized applications Strong problem-solving and debugging skills, especially in distributed systems Excellent communication and More ❯

reinforcement learning methods. Experience with GCP services such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc. Solid knowledge of distributed systems, data streaming (e.g., Apache Beam, Kafka), and large-scale data processing. ML Ops: Hands-on experience with continuous integration/deployment (CI/CD) for ML, model versioning, and monitoring. Business Acumen: Ability to understand More ❯

reinforcement learning methods. Experience with GCP services such as Vertex AI, BigQuery ML, Dataflow, AI Platform Pipelines, and Dataproc. Solid knowledge of distributed systems, data streaming (e.g., Apache Beam, Kafka), and large-scale data processing. ML Ops: Hands-on experience with continuous integration/deployment (CI/CD) for ML, model versioning, and monitoring. Business Acumen: Ability to understand More ❯

data needs Optimise data storage and retrieval for performance Work with batch and real-time processing frameworks Implement and manage ETL processes Use tools like Python, SQL, Spark, Airflow, Kafka, dbt, Snowflake, Redshift, BigQuery Requirements Bachelors degree in Computer Science, Engineering, or a related field 1+ year in a Data Engineer or similar role Proficiency in SQL and Python More ❯