101 to 125 of 595 Kafka Jobs

skills in Python. Proven experience designing and building distributed systems and APIs at scale. Hands‐on experience with real‐time data processing frameworks (e.g. Kafka, Flink, Spark Streaming, Pulsar). Experience working with cloud platforms (AWS, GCP, or Azure) and containerisation/orchestration (Docker, Kubernetes). Strong understanding ...

Microsoft 365 and exposure to AI productivity tooling is advantageous Desirable Experience: Vector databases and embedding-based pipelines Real-time data streaming technologies (e.g. Kafka, Flink) RPA tools such as UiPath or Power Automate Data transformation tools such as dbt Exposure to modern AI tooling and frameworks (e.g. Claude ...

approach, working alongside architects while retaining ownership of technical delivery Experience with any of the following would be advantageous: Cilium Istio ArgoCD or Flux Kafka or Redpanda Helm and Kustomize Python automation Policy as Code (OPA/Gatekeeper or Kyverno) What's on Offer Salary ...

intensity environment, including an open-floor plan, with timely responsiveness and the ability to work beyond normal business hours when required. Technical Skills Python, Kafka, Java (J2EE), JavaScript, Spring Framework, SQL (AWS Redshift, Oracle, Sybase, DB2), Oracle PL/SQL, Rest API, Angular or React, Scripting (Windows, Linux ...

with DevOps exposure). Strong technical foundations in backend, data or distributed systems, with significant experience using Java. Proven experience with streaming technologies either Kafka or Flink. Ability to work effectively with Product, engineering and domain stakeholders to translate business priorities into clear technical and delivery outcomes. Deep understanding ...

requirements Understanding of software design principles and engineering best practices Experience with cloud platforms (AWS, GCP), object storage (S3), or event/streaming systems (Kafka, Redis) Familiarity with Git for version control and deployment tooling such as GitLab CI/CD Desirable Experience Experience with system monitoring and observability ...

design. Experience with cloud platforms and containerization technologies. Strong knowledge of modern programming languages (e.g., Java), database technologies (Oracle, MSSQL), and messaging systems (e.g., Kafka). Expertise in building and scaling data-intensive applications and data analytics platforms. Leadership & Management: Exceptional leadership and communication skills, with the ability ...

experience architecting distributed, high-performance systems Hands‐on experience with SQL/NoSQL databases (Oracle, MySQL, PostgreSQL, MongoDB, Cassandra) Experience with message queuing systems (Kafka, Tibco, Solace, or similar) Deep understanding of Linux and JVM internals Strong advocate for Test-Driven Development (TDD) and automated testing Extensive production support ...

application development Familiarity with relational databases (e.g., Postgres) and AWS services such as S3, EKS, SageMaker, and Bedrock Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps and Large Language Model Operations (LLMOps) Experience working on AIML systems and/or prior experience collaborating with data scientists ABOUT US J.P. ...

enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real ...

enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real ...

enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real ...

enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing vector databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real ...

hands on experience in front office trading environments or similarly high pressure, low latency domains. Proficiency with SRE tooling and techniques, including FIX messaging, Kafka, Grafana, Splunk, ITRS Geneos, Dynatrace, InfluxDB, MQ (IBM MQ or similar), Oracle DB Demonstrated experience using enterprise-authorized AI capabilities within the work environment ...

moving towards a cloud-first architecture with a strong focus on AWS, working with technologies such as Java/Spring, AWS Lambda, Node.js, Kafka, SQL/NoSQL databases, and more. Key Tasks Work within a small, collaborative team using agile methodologies and practices Take ownership of applications across ...

review* Strong Java/Spring Boot background with demonstrable experience designing cloud-native microservices at scale* Experience designing and operating event-driven systems using Kafka or equivalent messaging platforms* Hands-on exposure to API gateway technologies and federated API management across multiple consumer profiles* Experience operating in a regulated ...

operating complex, large-scale distributed systems. You should have specific experience with both synchronous (e.g. REST APIs) and asynchronous (e.g. WebSockets, message queues like Kafka or RabbitMQ, event streams) communication patterns. Operational Resilience: Experience with High Availability or sophisticated disaster recovery strategies for global, 24/7 financial systems. ...

popular ORM tools Used NoSQL databases such as cosmos DB, Mongo or Cassandra Enterprise Expertise: Experience with messaging such as Service Bus, MQ or Kafka Data Analytics: Experience with Data Analytics and Business Intelligence What we can offer- Scale, some of our clients are well known global brands ...

popular ORM tools Used NoSQL databases such as cosmos DB, Mongo or Cassandra Enterprise Expertise: Experience with messaging such as Service Bus, MQ or Kafka Data Analytics: Experience with Data Analytics and Business Intelligence What we can offer- Scale, some of our clients are well known global brands ...

enterprise API integrations, and implementing agentic guardrails. Data Engineering (30%): Practical experience implementing components of data pipelines, including real-time streaming tools (AWS Kinesis, Kafka), data orchestration (dbt, Airflow), and managing Vector Databases for RAG architectures. Observability & Cost Management: SRE/Platform experience with the practical application of real ...

operations on AWS (or equivalent), with strong DevOps, CI/CD and infrastructure-as-code practice; FinOps/cloud cost management. Familiarity with Kafka, NGINX, load balancing and ELK; and with modern AI/ML engineering tooling and AI-assisted development. Education and Experience Bachelor’s degree (or equivalent ...

multi‐agent architectures Enterprise AI Integration & Data API‐ and event‐driven integration of AI into enterprise workflows Data platforms: Databricks, Spark, Snowflake; streaming via Kafka Backend & Distributed Systems Languages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus) Architecture: Microservices, domain‐driven design, event‐driven systems APIs & Integration … REST/gRPC; Apigee, Kong Data & Messaging: PostgreSQL/Oracle, MongoDB/Cassandra, Kafka Cloud & DevSecOps Cloud Platforms: Strong experience with GCP (preferred); working knowledge of AWS; Azure exposure optional (not a dependency) Containers: Docker, Kubernetes (GKE/EKS) IaC: Terraform CI/CD: GitHub Actions, Jenkins Observability: Splunk ...

/MRM compliance Enterprise AI Integration & Data API- and event‐driven integration of AI into enterprise workflows Data platforms: Databricks, Spark, Snowflake; streaming via Kafka Backend & Distributed Systems Languages: Python (expert), Java/Spring Boot (enterprise standard), Go (plus) Architecture: Microservices, domain‐driven design, event‐driven systems APIs & Integration … REST/gRPC; Apigee, Kong Data & Messaging: PostgreSQL/Oracle, MongoDB/Cassandra, Kafka Cloud & DevSecOps Cloud Platforms: Strong experience with GCP (preferred); working knowledge of AWS; Azure exposure optional (not a dependency) Containers: Docker, Kubernetes (GKE/EKS) IaC: Terraform CI/CD: GitHub Actions, Jenkins Observability: Splunk ...

platform components using Java 8+/Spring Boot and Python/FastAPI. Build, enhance, and operate event‐driven, real‐time data pipelines using Kafka and related streaming technologies. Provide deep technical expertise in distributed systems, data architecture, and scalable platform design. Design, implement, and maintain Java‐based APIs … preferably with FastAPI or similar modern API frameworks. Proven experience designing and building cloud‐native, distributed, scalable, and resilient systems. Hands‐on experience with Kafka or similar event streaming technologies. Strong understanding of API design and service integration patterns, including REST, OpenAPI, GraphQL, and gRPC. Practical experience with relational ...

ideally in a consumer or marketplace environment. Deep understanding of distributed systems and modern data ecosystems — including extensive experience with Databricks, Apache Spark, Apache Kafka, Apache Flink, Apache Beam and DBT. Demonstrated success in designing, building, and operating data platforms at scale, encompassing both batch processing and real-time ...