201 to 225 of 645 Kafka Jobs

Applications. Proven experience with protocols and technologies common in communication or high‐availability systems (e.g., TCP/IP, gRPC, messaging services like Kafka or RabbitMQ). Expertise in performance tuning, concurrency, and multithreading to achieve low‐latency processing. Strong understanding of security principles related to critical infrastructure. Excellent problem ...

Looking ForStrong commercial experience in data engineering and modern data platforms.Advanced programming skills in Java or Python.Expertise working with technologies such as Kafka, Spark, Flink or similar distributed data frameworks.Experience delivering solutions within AWS or other major cloud platforms.Strong understanding of data architecture, scalability and performance optimisation.Experience working with ...

. Proven experience testing functions and decision logic defined as code , including policy-as-code. Experience validating event-driven platforms (Pub/Sub, queues, Kafka, etc.) and batch processing. Experience with identity warehousing and protocols/formats for data ingestion including SCIM, REST API, LDAP, OIDC, and CSV . ...

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 We recognize that our people ...

architectures Experience developing, debugging, and maintaining code with modern programming languages and database querying languages Experience in large‐scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal) Proficiency in automation, continuous delivery methods, and all aspects of the Software ...

open-source Flyte orchestration framework and are deployed to AWS. Pipeline code is written in Python. We use SQS and Kafka to automate data connections and leverage BigQuery and ElasticSearch for data storage. We believe strongly in automation and testing to ensure delivery of robust and correct systems. ...

architectures Experience developing, debugging, and maintaining code with modern programming languages and database querying languages Experience in large‐scale data processing, microservices, API design, Kafka, Redis, MemCached, Observability tools (Dynatrace, Splunk, Grafana), and Orchestration tools (Airflow, Temporal) Demonstrated experience leading effective use of enterprise‐authorized AI‐assist­ed software development ...

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 ...

backed by solid SQL and data‐driven product decisions You’ve worked with a cloud platform (GCP, AWS, or similar) and event systems like Kafka, RabbitMQ, or Pub/Sub You write automated tests, review code thoughtfully, and use logs, metrics, dashboards, and tracing to understand how your systems ...

Good product mindset with experience contributing to end-to-end product development, including exposure to frontend technologies or UI design. Experience with Docker, Kubernetes, Kafka, RabbitMQ, AWS, GCP, Azure, JWT authentication, or monitoring platforms is considered an advantage. Excellent communication, collaboration, problem-solving, and mentoring skills, with a commitment ...

Experience building APIs, services, and integrations. Experience with SQL and data-backed product behavior. Experience with GCP, AWS, or another cloud platform. Experience with Kafka, RabbitMQ, Pub/Sub, or similar event systems. Experience with logs, metrics, dashboards, alerts, and tracing. Experience writing automated tests and reviewing code. Useful ...

Jaeger/Opentelemetry/Service Meshes etc.) Experience with configuration management tools (Ansible/Puppet/Kapitan/Terraform) Experience with distributed data platforms (Kafka/Flink/Airflow) Comfortable using cloud native and containerisation technologies (Kubernetes/Docker) Good Linux systems knowledge (experience with RHEL desirable) Broad knowledge ...

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 ...

Glue, SQS, SNS, Personalize) Familiarity with developing and deploying Spark and ML pipelines Hands-on experience with big data technologies such as Databricks, Kinesis, Kafka Proven leadership, coaching, and mentoring skills, with the ability to inspire and empower a team towards achieving business goals Experience with observability tools ...

with AKS or containerized workloads interacting with databases. Knowledge of data governance, retention, and archival strategies. Exposure to streaming and integration patterns (Event Hubs, Kafka) and ETL/ELT workflows. Experience supporting highly regulated environments with robust controls and documentation. Education and Certifications: Bachelor's degree in Computer Science ...

JavaScript/TypeScript, or Golang. Experience with specific frameworks like Spring (AI, Boot), N8N, or Flask. Familiarity with messaging and integration platforms such as Kafka or JMS/MQ. Experience with UI development using modern frameworks like React JS or StreamLit for interactive AI applications. Practical experience in model ...

skills and attention to detail. Exposure to Docker, Kubernetes, and cloud services in an enterprise environment is beneficial. Experience with message brokers such as Kafka a plus. A friendly, positive, and can do attitude. A Bachelor's degree in Computer Science, Engineering, or a related field. Our benefits ...

decisions, review code meaningfully, and set the standard for your squad. Familiarity with our core stack – Node/TypeScript, React, Java, AWS, Kubernetes, and Kafka – or a comparable modern stack; deep expertise in some areas, with the breadth to engage credibly across the rest. A strong grasp of software ...

Certifications in relevant technologies, such as Azure Data Engineer or Databricks Certified Developer Experience with real-time data processing and streaming technologies like Apache Kafka or Azure Event Hubs Knowledge of data visualization tools, such as Power BI or Tableau Contributions to open-source projects or active participation ...

technical reports. MOD or Defence security standards and accreditation processes. Working with secure or safety-critical systems. Exposure to technologies such as Apache Kafka, Apache NiFi, Node.js, TypeScript, MongoDB, AI or Machine Learning would also be beneficial. Security Clearance Due to the nature of the work, candidates must already ...

applications. Strong Python development skills. Data & Infrastructure: Experience with some of the following technologies is highly desirable: Frameworks & Infrastructure: Apache Spark Apache Airflow Kafka Elasticsearch/OpenSearch Databases: PostgreSQL MongoDB Vector databases such as Qdrant, Milvus, or pgvector Python Ecosystem: Pandas Polars Engineering Skills: Experience building highly scalable backend ...

relevant experience and the ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes‐based deployment ...

relevant experience and the ability to work across comparable technologies. Examples of technologies in scope include: Data processing and logic: ANSI SQL, Apache Spark, Kafka Platforms and storage: Snowflake, Apache Iceberg, Databricks, Hadoop ecosystem technologies, Sybase IQ Engineering and deployment: CI/CD tooling, containerised or Kubernetes‐based deployment ...

traditional data warehouses An understanding of machine learning model development lifecycle, feature engineering, training and testing Good understanding or hands‐on experience of Kafka Experience as a DBA or developer on RDBMS such as PostgreSQL, MySQL, Oracle or SQL Server Experience designing data applications to meet non‐functional requirements ...

security assurance bodies. Understanding of defence, national security, or safety‐critical environments. Familiarity with technologies such as: Azure and AWS Docker and Kubernetes Apache Kafka and NiFi Node.js and TypeScript MongoDB AI and Machine Learning technologies Security Requirements Due to the nature of the work, candidates must either hold ...