401 to 425 of 1,226 Kafka Jobs

experience with cloud‐native and distributed SQL databases such as Aurora, YugabyteDB or TiDB Desirable: knowledge of data streaming and integration tools such as Kafka, Debezium and CDC pipelines Desirable: experience with security and compliance in database environments, covering encryption, auditing and RBAC Desirable: familiarity with DataOps practices ...

Preferred Qualifications, Capabilities, and Skills Experience with Java 21 Familiarity with Spring framework and Spring Boot Knowledge of RDBMS and NoSQL databases Experience with Kafka Expertise in microservices architecture Ability to leverage AI tools like MCP servers and Claude to enhance productivity ABOUT US J.P. Morgan is a global ...

authentication technologies such as LDAP, certificates and similar security frameworks. Hands-on experience with messaging and event-driven architectures, using technologies such as Kafka, AMQP or equivalent platforms. Deep understanding of object-oriented design and SOLID principles, combined with experience using modern DevOps and containerisation tools such as Jenkins ...

Golang Familiarity with at least one of the following: Observability Tools (e.g. Prometheus, OpenTelemetry, Grafana) Databases (e.g. Postgres, DuckDB) Event Streaming platforms (e.g. Kafka) Container Orchestration (e.g. Docker, Kubernetes) Familiarity with cloud platforms such as AWS, Azure or GCP Experience with CI/CD systems (e.g. Jenkins, CircleCI, GitLab ...

observability : Practical experience instrumenting tracing (LangSmith, Arize) and building CI/CD pipelines built specifically for LLMs. Engineering foundations : Distributed systems, scalable data pipelines (Kafka, SQL), and cloud‐native infrastructure. Cloud‐native deployment: Deep familiarity with shipping agentic workloads into production environments, ideally leveraging Kubernetes for enterprise scale. ...

creation and maintenancePractical experience using Terraform, Kubernetes and HelmRequired: AWS, Terraform, Kubernetes, HelmGood to have: GitLab CI/CD, Bash scripting, ArgoCD, Java (Spring), Kafka, LiquibaseExtensive experience of cloud computing, and best practices/emerging technologiesExperienced with multiple eco-system databases, architecture and integrationExperience with monitoring tools to ensure ...

home in system design and in low-level implementation detail. Experience building and deploying services on AWS or GCP. Hands-on exposure to Kafka, Flink, Redis or clustered Postgres, and an appetite for more. Comfortable with agent-based development tools. We use Claude Code; any equivalent is fine. ...

Data technologies including Spark, Hadoop, or similar distributed processing frameworks. Practical experience building real-time event streaming pipelines using technologies such as Kafka, Spark Streaming, or Amazon Kinesis within AWS environments. Proven expertise designing modern Data Lakehouse and Data Warehousing architectures, alongside a solid understanding of CI/ ...

experience of Big Data technologies including Spark, Hadoop, or similar distributed processing frameworks. Experience building real-time event streaming solutions using technologies such as Kafka, Spark Streaming, or Amazon Kinesis within AWS environments. Proven expertise designing modern data architectures including Data Lakehouse and Data Warehousing solutions, alongside CI/ ...

excel at working across team boundaries and with third parties to untangle dependencies and move projects forward. Familiarity with cloud technologies (AWS), messaging systems (Kafka, SQS), or data warehouse tools (Snowflake) is a significant plus. #LI-SK1 At Quantcast, we craft offers that reflect your unique skills, expertise ...

with big data concepts, such as Lakehouse, ETL data pipelines (e.g. Spark, AWS Glue) Experience with near real time and event-based systems like Kafka Goldman Sachs Highlights At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve ...

cloud platform: Azure (Synapse, Data Factory, Databricks)AWS (S3, Glue, Redshift, Lambda)GCP (BigQuery, Dataflow)Data Platform ExpertiseExperience with: Data warehousing solutionsStreaming technologies (Kafka, Kinesis, Pub/Sub)Familiarity with DevOps/DataOps practicesCI/CD pipelinesInfrastructure as Code (Terraform, ARM, CloudFormation)About NTT DATANTT DATA ...

Test-Driven Development are essential. Experience in any number of additional technologies (listed below) is advantageous: Kotlin Cloud Technologies (Kubernetes, Open Shift) Messaging Technologies (Kafka, Solace, TIBCO) Database/Data Store/Data Query Technologies (SQL Server, S3) Observability Technologies (OpenTelemetry, Elastic Stack/ELK, Grafana) Qualifications: Proven experience ...

event-driven architectures, cloud platforms, containers, and relational databases, with the ability to understand technical designs and engage effectively with Engineering. Familiarity with Java, Kafka, and Kubernetes/Docker is a plus. Experience defining functional and non-functional product requirements covering scalability, performance, availability, resiliency, security, IAM, auditing, data ...

team leadership or mentorship role. Strong technical background in building and maintaining data pipelines and platforms using tools like Spark, dbt, Airflow, Kafka, or Databricks. Proficiency in one or more programming languages (e.g., Python, Scala, or Java) and SQL.Experience with cloud data platforms (e.g., AWS, GCP, or Azure).Experience ...

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 ...

with core Technologies and Architectures - Java Enterprise Technologies, Spring Boot, Spring Frameworks, Restful Web services, SOA, Angular, HTML/CSS, SQL, DB2/Oracle, Kafka, Cloud Technologies Experience in leading teams in custom development, evaluating, selecting, integrating, and implementing application software (package) solutions when appropriate Strong interpersonal and decision ...

improving system reliability. Desirable Experience building cloud-agnostic solutions running across AWS, Azure, and GCP. Technical depth in databases or event-streaming platforms (e.g., Kafka, Postgres, DuckDB). A deep interest in the internals of infrastructure tools, with a track record of troubleshooting, extending, or optimizing them within ...

Including EC2 & S3 experienceAirflow/MWAA or equivalent job scheduler experienceKubernetes, EKS, Lambda or serverless experience in AWS as beneficialMessaging layer experience ZMQ, RabbitMQ, Kafka etc. Personal AttributesTeam player with strong analytical and problem-solving skills, including the ability to troubleshoot and resolve complex pricing issues and risk issuesStrong ...

observability: Practical experience instrumenting tracing (LangSmith, Arize) and building CI/CD pipelines built specifically for LLMs. Engineering foundations: Distributed systems, scalable data pipelines (Kafka, SQL), and cloud-native infrastructure. Cloud-native deployment: Deep familiarity with shipping agentic workloads into production environments, ideally leveraging Kubernetes for enterprise scale. What ...

during interview stage Experience in REST API and authentication mechanisms (OAuth/Basic Authentication) Messaging Systems experience in any of the following middleware technologies (Kafka preferrable, Nats, Solace, TiBCo, RabbitMQ etc.) Experience working with SQL and databases such as Oracle, SQL Server, Hadoop etc. Experience with Java Multithreading/ ...

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 ...

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 ...

observability : Practical experience instrumenting tracing (LangSmith, Arize) and building CI/CD pipelines built specifically for LLMs. Engineering foundations : Distributed systems, scalable data pipelines (Kafka, SQL), and cloud-native infrastructure. Cloud-native deployment: Deep familiarity with shipping agentic workloads into production environments, ideally leveraging Kubernetes for enterprise scale. What ...