401 to 425 of 1,218 Permanent Kafka Jobs

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. ...

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 ...

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/ ...

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. ...

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 ...

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 ...

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-SK1At Quantcast, we craft offers that reflect your unique skills, expertise, and geographic location. ...

helpful, but not essential: Languages: Python, SQL, Terragrunt, JavaScriptCloud: AWS (primary), some GCPWarehouse & Storage: Snowflake, S3/ParquetData & ETL: dbt, FivetranPlatform & Infra: Kubernetes, Kafka, RabbitMQ, Argo, GitHub Actions, HashiCorp VaultObservability: Datadog, GrafanaDashboarding: PresetOther: ClaudeWhat we're looking forStrong fundamentals and the ability to apply them pragmatically: Solid programming ability ...

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 ...

ecosystem — service based solutions Event-driven — real-time data driven solutions Cloud deployments — Azure, Kubernetes, ArgoCD High-performance data & messaging — Graph, Vector, Postgres & Kafka About You We’re looking for exceptional AI engineers to help build and scale Kinsworth, our AI-native financial intelligence platform. You’ll play ...

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 ...

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 ...

/sub patterns. Proven experience designing and operating microservices architectures , including inter-service communication (REST/gRPC/event-driven via SQS/Kafka,ELK,New relic, Mixpanel), service discovery, and API contract design. Solid understanding of CI/CD pipelines , with hands-on experience using Jenkins (pipeline ...

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 ...

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 ...

modern data stack, building data ingestion pipelines and working with ETL and orchestration tools (e.g., Airflow, Luigi, Argo, dbt), big data technologies (Spark, Kafka, Parquet), and web frameworks for model serving (e.g. Flask or FastAPI).Data Science: Familiarity or experience with classical NLP techniques (BERT, topic modelling, summarisation), statistical ...

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 ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve ...