76 to 100 of 183 Permanent Kafka Jobs

principles, routing, and connectivity in cloud-native architectures. Programming or scripting skills (Python preferred). Familiarity with databases (MySQL/PostgreSQL, MongoDB, Redis) and Kafka or similar event systems. A problem-solving mindset, comfortable taking ownership and learning new things on the fly. Nice to have Experience supporting ...

infrastructure support and migration experience Desirable knowledge and experience: AWS accreditation Knowledge of COTS products (including but not limited to; Elasticsearch, NiFi, Rabbit, Kafka, MongoDB, Hadoop, Ansible, Git and Kubernetes) Development of dashboards for monitoring and alerting through Grafana, Splunk, Prometheus and OpenText Om and Ops Bridge On prem ...

scalable solutions. Knowledge of financial industry regulations and standards, particularly around data security and privacy. Familiarity with event-driven architectures or message queues (eg, Kafka, RabbitMQ) for Real Time data processing. Experience with automated testing frameworks and continuous delivery tools like Jenkins, GitLab CI, or CircleCI. Understanding of performance … Bank Banking Finance Financial Services Crypto Blockchain Web3 Trading Exchange Digital Assets Hybrid Flexible Developer Software Engineer Backend Developer Golang Engineer Kafka Apache Kafka RabbitMQ AWS Lambda Cloud Platform ...

Kubernetes containerisation and orchestration Elasticsearch/Kibana Cloud services (AWS or Azure) Helm charts MongoDB Experience building enterprise level web applications or services Apache Kafka Responsibilities Perform system administration and backup tasks Assist in the investigation and resolution of issues relating to applications, networks and services Contribute to maintenance ...

Finance Data Strategy for large financial institutions, developing future state architecture. Delivery experience in Big Data technologies and Apache ecosystem technologies such as Spark, Kafka, Hive etc and have experience building end to end data pipelines using on-premise or cloud-based data platforms. Hands on experience with data ...

communications across multiple digital touchpoints Collaborate with Product, Data, Marketing, and Engineering teams across multiple locations Tech stack Node.js (TypeScript), Ruby Event-driven systems (Kafka), APIs AWS/GCP, Kubernetes Why it’s exciting Work at scale in a high-traffic, consumer-facing environment Strong engineering culture: automated testing ...

creatively solve problems and find solutions to challenges Small company can-do mentality Ability to work calmly under pressure Desired Skills: Docker Linux Microservices Kafka Azure or other Cloud applications Machine Learning ...

Solution Architecture. 5+ years in Banking/Financial Services, preferably Payments. Strong expertise in microservices architecture, cloud platforms (AWS/Azure/GCP), containers, Kafka, and distributed systems. Proven experience designing high-throughput, low-latency applications. Strong background in architecture governance , design reviews, and decision documentation. Experience working across ...

Solution Architecture. 5+ years in Banking/Financial Services, preferably Payments. Strong expertise in microservices architecture, cloud platforms (AWS/Azure/GCP), containers, Kafka, and distributed systems. Proven experience designing high-throughput, low-latency applications. Strong background in architecture governance , design reviews, and decision documentation. Experience working across ...

familiarity with frameworks (e.g. Flask, Django) Experience building and orchestrating ETL pipelines (e.g. Airflow, Luigi, Argo) Exposure to big data technologies (e.g. Spark, Kafka, Hadoop) Experience working in Agile environments Solid understanding of data architecture and data quality best practices ...

query optimisation. Preferred Qualifications Snowflake certifications (SnowPro Core or Advanced). Experience with DBT Cloud and custom macros. Exposure to real-time streaming (Kafka, Kinesis). Familiarity with data observability tools and BI integrations (Tableau, Power BI). On offer Opportunity to work with modern data technologies and large ...

lives. Nice to have Exposure to Node.js/NestJS services (or similar), authentication flows, and fintech integrations. Familiarity with Postgres , event-driven systems (e.g., Kafka ), and cloud infrastructure (e.g., AWS , Docker, CI/CD). How You’ll Make a Difference Build core mobile features: Deliver secure, scalable React ...

last 5–6 years, with further scaling planned.This is business-critical software, reliability, accuracy and performance genuinely matter.The technology: Java, Springboot, Microservices, AWS, Kafka, CI/CD.The role goes beyond writing code, you’ll contribute to system design, architectural decisions, and long-term platform evolution.What they’re looking ...

Scala/C++ a plus) Experience with orchestration and workflow tools (Airflow, Cloud Composer, Dagster, etc.) Familiarity with modern data stack components (BigQuery, dbt, Kafka/PubSub, Spark, etc.) Knowledge of data security, access control, and best practices for handling sensitive data Experience collaborating across engineering, analytics, and product ...

drive technical initiatives, influence the team's direction, and guide key architectural decisions Hands-on experience with event-driven architectures, and message brokers like Kafka or ZeroMQ - you know how to keep data flowing seamlessly Bonus points if you've worked with AWS, have an interest in crypto, blockchain ...

handling large-scale structured/semi-structured data. Strong problem-solving, optimization, and debugging skills. Good to Have Skills Knowledge of AWS Lake Formation , Kafka/Kinesis , Airflow , or Delta/Apache Hudi . Experience with ML workflows in telecom (churn, network prediction). Exposure to 5G network data ...

components, or Python for data and ML workflows. Distributed Systems Expertise: Deep experience building high-throughput, fault-tolerant systems using modern messaging standards (e.g., Kafka , ZeroMQ , NATS ). Systems-Level Intuition: You are comfortable debugging and profiling at the OS level, understanding memory management, CPU architecture, and network stack ...

warehouse technologies (Databricks, Snowflake) Experience with database technologies such as RDBMS (SQL Server, Oracle) or NoSQL (MongoDB) Knowledge in Apache technologies such as Spark, Kafka and Airflow to build scalable and efficient data pipelines Ability to design, build, and deploy data solutions that explore, capture, transform, and utilise data ...

around code quality, testing and reliability Participate in team support and operational responsibilities Technology Environment Core Java (deep JVM knowledge – minimal reliance on frameworks) Kafka & event-driven architectures Low-latency, high-throughput systems Kubernetes (services, deployments, stateful sets) Terraform Hazelcast/Hazelcast Jet (bonus) Get in touch! - Darnell@Thyme.Global ...

familiarity with frameworks (e.g. Flask, Django) Experience building and orchestrating ETL pipelines (e.g. Airflow, Luigi, Argo) Exposure to big data technologies (e.g. Spark, Kafka, Hadoop) Experience working in Agile environments Solid understanding of data architecture and data quality best practices ...

with digital twin frameworks (topology/graph modeling, intent-based orchestration), AIOps platforms (anomaly detection, noise reduction, predictive insights), and streaming/data pipelines (Kafka, Pub/Sub, Dataflow) Familiarity with cloud-native (GCP/Azure/AWS), Kubernetes, API-first integration, and observability stacks (metrics, logs, traces) Experience ...

client systems within a microservices environment (300 services). You'll be working with a modern tech stack using C# .Net Core, AWS, Kubernetes, Kafka, Redis and TypeScript/Angular; using the right tool for the job, you'll be able to pick up new technologies and make recommendations ...

skilled in practices like TDD, CI/CD, IaC and Observability. Skills: TypeScript/Node.js Backend APIs AWS or GCP Streaming systems experience (Flink, Kafka, Kinesis, Spark etc.) In return, you'll be given real ownership in an early-stage start-up environment where you can shape direction ...

cloud platforms such as AWS, Azure, or GCP. Exposure to modern data tools such as Snowflake, Databricks, or BigQuery. Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage. Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform. What ...

their workplaces. Tech stack used by this team: Java 17, Spring (Spring Boot, Spring Web Stack, Spring Data or Spring JDBC), RESTful webservices, Apache Kafka, Apache Camel, AWS, Terraform, API, Oracle, Postgres, NoSQL DB, PL/SQL, JMeter, Jenkins, Sonar, Maven, Git, Docker/Containerization, AWS OpenSearch, AWS Lambda … Elasticsearch), Amazon MSK/Kafka, or AWS Lambda as part of infrastructure, monitoring, or event-driven architectures. Familiarity with Apache Camel or Apache Kafka is advantageous, especially for designing event-driven architectures and microservice communication. Achievements: You have the ability to mentor team members, sharing your knowledge ...