126 to 150 of 618 Kafka Jobs

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 ...

Data Engineering and Analytics: Work closely with data teams to define robust data pipelines and scalable cloud-based data platforms using tools like Apache Kafka, Snowflake, or Databricks. Monitoring and Performance Tuning: Implement advanced monitoring and observability solutions using tools like Prometheus, Grafana, or Datadog to proactively identify ...

Data Engineering and Analytics: Work closely with data teams to define robust data pipelines and scalable cloud-based data platforms using tools like Apache Kafka, Snowflake, or Databricks. Monitoring and Performance Tuning: Implement advanced monitoring and observability solutions using tools like Prometheus, Grafana, or Datadog to proactively identify ...

ESXi Infrastructure as Code (Terraform, Ansible) Docker and Kubernetes AWS and/or Azure Atlassian toolset Concourse CI/CD Elasticsearch/Kibana Apache Kafka Helm MongoDB Enterprise web applications and services TOGAF, MODAF or model-based systems engineering Networking monitoring and Red Hat migrations What's on Offer ...

premise/edge environments, using platforms such as AWS or Azure, with a strong understanding of distributed systems and event‐driven architectures (e.g. Apache Kafka, AWS Kinesis, messaging and streaming patterns). Experience designing architectures for high volume, time critical, or sensor driven data, including streaming, time series ...

design and development. Familiarity with version control systems like Git. Strong knowledge of Docker for application containerization. Familiarity with event streaming platforms like Apache Kafka, RabbitMQ, or Azure Event Hub for building and maintaining event pipelines. Familiarity with banking systems and protocols, especially related to Open Banking standards ...

with considerable depth in one or more disciplines (e.g., cloud, AI/ML, data engineering) Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake ...

technical processes, with depth in disciplines such as cloud, AI/ML, or data engineering Experience in large-scale data processing, microservices, API design, Kafka, Redis, MemCached, observability tools (Dynatrace, Splunk, Grafana), and orchestration frameworks (Airflow, Temporal) Advanced working knowledge of relational and NoSQL databases, vector stores, data lake ...

platform stack — from data ingestion and event processing to REST services and internal tooling. Build and maintain streaming and batch processing systems (Flink, Spark, Kafka) that power real‐time and analytical workloads. Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with a CI/ ...

pipelines. Design Principles: Strong grasp of software design principles and patterns. Preferred Skills Experience with public cloud platforms (AWS, Azure, GCP). Familiarity with Kafka, MQ, or other streaming services. Exposure to AI-assisted development tools such as Co-pilot. ...

/ELT processes and data pipeline development Experience working with cloud platforms such as AWS, Azure or GCP Knowledge of technologies such as Spark, Kafka, Airflow or similar Experience with databases, data modelling and data warehouse solutions Understanding of CI/CD, software engineering best practices and secure development ...

architectures (Azure, AWS, GCP). • Strong knowledge of performance testing methodologies and tools (such as JMeter, LoadRunner). Desirable Criteria • Knowledge of middleware systems (Kafka, IBM MQ). • Experience with ELK stack and reporting tools (e.g., Tableau). • Exposure to CI/CD tools (Github Actions, Jenkins) and version ...

data ownership and delivery Providing technical leadership across complex enterprise initiatives Technical Environment Experience in several of the following areas would be beneficial: Snowflake Kafka or other streaming technologies Azure, AWS or GCP Kubernetes and container-based platforms Data Warehousing and Data Lake technologies CI/CD tooling ...

Experience with configuration management and infrastructure as code tools (Ansible, Git, Vault) Knowledge of container orchestration tools, virtualisation and observability stacks e.g. Kubernetes, Grafana, Kafka, Docker, OpenStack, OLVM. Experience implementing platform and application observability solutions including monitoring, logging, tracing, alerting and telemetry. Awareness of secure software development and DevSecOps ...

Qualifications*** Experience of working in investment bank or financial services industry* Experience of using cloud services such as AWS and distributed systems such as Kafka, Kubernetes, S3, DynamoDB, MongoDB or any other NoSQL database**What we’ll provide you:**By joining Citi, you will not only be part ...

high‐intensity environment, with strong ownership and responsiveness. Technical Expertise Architecture and design of distributed systems and integration frameworks Event‐driven and messaging architectures (Kafka, IBM MQ, TIBCO, JMS) Java and enterprise application frameworks (J2EE, Spring) Data platforms and databases (Oracle, AWS Redshift, PL/SQL) API design ...

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 ...