251 to 275 of 2,706 Kafka Jobs

GCP) and local cluster deployments, and experience in deploying and managing ML services on these platforms. Knowledge of distributed computing frameworks (e.g., Spark) and big data technologies (e.g., Hadoop, Kafka). Proficiency in Python, Shell, Ruby, Golang, or C++ and experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation). Hands-on experience with containerization technologies (e.g., Docker) and More ❯

GCP) and local cluster deployments, and experience in deploying and managing ML services on these platforms. Knowledge of distributed computing frameworks (e.g., Spark) and big data technologies (e.g., Hadoop, Kafka). Proficiency in Python, Shell, Ruby, Golang, or C++ and experience with infrastructure-as-code tools (e.g., Terraform, CloudFormation). Hands-on experience with containerization technologies (e.g., Docker) and More ❯

advantageous to the candidate to have experience with the following technologies: Experience with Spark (AWS Glue) Snowflake Native Applications or AWS Marketplace solutions. Experience using Trusted Execution Environments (TEEs) Kafka Automated cloud infrastructure provisioning Basic understanding of encryption protocols We are committed to using the best technology for the task at hand. Other technologies used within the wider team More ❯

technologies such as cloud, AI/ML, or mobile platforms Frontend experience with React or Angular, TypeScript, CSS, JavaScript, and Micro Frontend frameworks Backend expertise in Java, Spring Framework, Kafka, and NoSQL databases (e.g., MongoDB, Cassandra) Preferred Qualifications Exposure to cloud technologies and services Experience designing and developing microservices-based architecture Commitment to continuous learning and innovation, especially in More ❯

EC2, Lambda, S3, EBS/EFS, VPC, DNS, IAM, KMS, CloudWatch, CloudTrail Configuration management: Ansible, Terragrunt, ArgoCD Build/Development: VS Code, Maven Event streaming platform (nice to have): Kafka messaging Container orchestration: Kubernetes, Docker, Security, Monitoring and logging: ACAS/Grype vulns scanning, SIEM (Splunk) Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana) Version control: Git Infrastructure as Code More ❯

Degree or 5+ years of relevant experience in lieu of a degree US citizenship and an active TS/SCI with Polygraph security clearance required Desired Experience: Experience with Kafka Experience with container and container orchestration technologies like Docker Experience with AWS workflow tools and PowerBI/Tableau reporting tools Ability to engage with stakeholders at all levels to More ❯

practices. Experience with monitoring tools such as Grafana, Prometheus or ELK stack. Experience with configuration management tools such as Puppet, Ansible and Chef. Experience with building Event-Driven applications (Kafka) and API solutions. Experience with data engineering, including SQL and NoSQL databases, and data services ecosystems (ADF, SQL DWH, Data Bricks). Experience in Distributed Data Computing and Big More ❯

up systems/new technologies and quickly get up to speed. Ability to diagnose faults and remedy under time pressure. Additional beneficial skills or experience: Experience with stream processing (Kafka, Flink). Experience with dbt, Snowflake, Airflow. Experience with other programming languages Python, Java, Scala, F#. Kubernetes/OpenShift/Docker, helm templates. PERKS & BENEFITS Annual Discretionary Bonuses. Annual More ❯

skills with a keen eye for detail. Preferred Qualifications Deep knowledge of SQL performance tuning, indexing, and query optimization. Experience with message brokers and asynchronous communication patterns (e.g., RabbitMQ, Kafka). Exposure to CI/CD pipelines and DevOps practices, particularly using Azure DevOps. Familiarity with containerization and orchestration tools like Docker and Kubernetes. Experience with business process automation More ❯

7+ years of hands-on full-stack programming experience using Java, Javascript, Scala/Python Experience working with big-data stack, including (but not limited to) spark/hadoop, kafka, Aerospike/Dynamodb Experience with AWS tech stack, including but not limited to EMR, Athena, EKS Expert knowledge of multi-threading, memory model, etc. Understanding of database fundamentals and More ❯

a similar role, with a focus on data infrastructure management Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure). Ideally some programming skills in languages like Python, Java, or Scala, with experience in automation and scripting. Experience with containerization and More ❯

their customers on familiar messaging platforms while meeting regulatory requirements. Tech stack: Micro-services Container Platforms (Kubernetes, CRC, Docker) NoSQL Databases (CockroachDB, Cassandra, Zookeeper, ArangoDB) Large-scale data processing (Kafka) Dependency injection frameworks (Guice) Splunk CI/CD Build tools: Maven, Git, Jenkins Frameworks: Spring Boot Real-time communication APIs (WebRTC, SIP, XMPP) Your responsibilities: Design, implement, and provide More ❯

particularly for integration with performance-critical or legacy systems Familiarity with frontend frameworks (React, Vue.js, or Angular) Experience with databases (PostgreSQL, DynamoDB, Redis, etc.) Exposure to microservices, messaging queues (Kafka, SQS), and event-driven architecture Understanding of authentication (OAuth2, JWT), API security, and access control Bachelor's degree in Computer Science, Engineering, or related field (or equivalent practical experience More ❯

stage Docker files. Proficiency with Azure DevOps Pipeline (YAML) or GitHub Actions. Experience with databases like Azure SQL, Azure Cosmos DB, PostgreSQL, or Redis. Knowledge of event-driven architectures, Kafka, or Azure Service Bus. Understanding of High Availability and Disaster Recovery design. Experience in incident response and root cause analysis. Expertise in cloud network security. Working knowledge of NGINX More ❯

NoSQL). Experience with client/server software architectures & networking, or microservice architectures. Experience using orchestration tools such as Kubernetes or Mesos. Experience with streaming architectures and tools (e.g. Kafka) About Us J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. More ❯

management skills to inspire, guide & motivate a team architects Deep expertise in cloud-based microservice and real-time architectures on AWS Proficiency with modern technologies: Kubernetes, Java, Go, Kotlin, Kafka, related tools & frameworks Solid grasp of SDLC, agile methodologies, and DevOps practices at scale Strong problem-solving and strategic thinking abilities Exceptional communication and interpersonal skills, with the ability More ❯

ReactJS + TypeScript). Solid background in data structure and algorithms. Knowledge of Web development will be a plus. Knowledge of Equity Derivatives will be a plus. Knowledge of Kafka, Kubernetes, Docker, SQL, KDB, Excel/VBA and Unix programming will be a plus. Good understanding of testing and familiarity with different testing approaches. Familiarity of TDD/BDD More ❯

collaborative environment. It would be a plus if you also possess previous experience in: TDD/ATDD/BDD, DDD, Pair/Ensemble Programming Oracle SQL, Docker/Kubernetes, Kafka, Jenkins GWT, Jest, Vite, Cypress, Playwright, eslint, esbuild, webpack, web components At IDBS we believe in designing a better, more sustainable workforce. We recognize the benefits of flexible working More ❯

in Python and deployed with Docker & Kubernetes. Integrate with enterprise ecosystems- enterprise software systems such as SAP and Oracle ERP, GraphQL/REST APIs, SFTP feeds, and event buses (Kafka, Pulsar). Wrangle large, heterogeneous data sets —model, transform, and index multi-modal, multi-terabyte enterprise datasets for advanced AI workloads Develop enterprise-level next generation AI systems with More ❯

in Python and deployed with Docker & Kubernetes. Integrate with enterprise ecosystems- enterprise software systems such as SAP and Oracle ERP, GraphQL/REST APIs, SFTP feeds, and event buses (Kafka, Pulsar). Wrangle large, heterogeneous data sets —model, transform, and index multi-modal, multi-terabyte enterprise datasets for advanced AI workloads Develop enterprise-level next generation AI systems with More ❯

learn, Hugging Face Transformers, Keras, etc.). Familiarity with Python for AI/ML development is a significant advantage. Experience with data engineering pipelines or big data technologies (e.g., Kafka, Spark) is a plus. The recruitment process you can expect for this role is an initial call with your dedicated Talent Acquisition Partner who will chat with you about More ❯

cloud-based architectures. Knowledge of containerisation tools (Docker, Kubernetes). Experience with CI/CD tools (e.g., Jenkins, Concourse, GitHub Actions) to integrate performance testing. Familiarity with message queues (Kafka, RabbitMQ). Experience accessibility testing. We offer an excellent benefits package that includes: a generous 30 days annual leave plus 8 bank holidays and 1 privilege day enrolment into More ❯

/business data. Experience architecting, building, or managing components of an ontology or/and metadata platform. Deep experience supporting industry standard big data technologies e.g., Spark, BigQuery, Cassandra, Kafka, HDFS, Snowflake. Experience with event-driven architectures and implementing event hooks/triggers in API systems. Familiarity with webhooks, message queues, and pub/sub systems. Ability to design More ❯

Strong hands-on experience in APIs, webservices and Microservices. Experience with processes and deliverables in an Agile/SCRUM environment What Would Make You Stand Out: Experience working with Kafka data streams, Big data, Postgres DB and Data lake is a plus Experience working with Amazon AWS services like Athena, S3, Glue, Lambda, Starburst etc., is a plus Understanding More ❯

ability to develop engineering colleagues Tech Stack Java 17+ Rest APIs with Micronaut and Spring Boot Relational database (Azure SQL/SQL Server/PostgreSQL) MongoDB Event processing with Kafka CI/CD with GitHub Actions and Azure pipelines Code quality with Sonar Microservice architecture Azure DevOps, Kubernetes, Docker Azure storage, Redis Observability Tools Dynatrace, New Relic Git, GitHub More ❯