6 of 6 Permanent Kafka Jobs in County Down

what they ship: every service running in production is the direct responsibility of the team behind it. ️ Our Stack: AWS, PostgreSQL, Redis, Docker, Kafka, Temporal, Datadog, Terraform, gRPC, GraphQL, Kotlin You should apply if you: have strong demonstrable experience and passion for backend development like working together in multidisciplinary ...

scale, complex systems. Architecture & Design Expertise: In-depth understanding of architectural principles and patterns, particularly for distributed systems (e.g., microservices, event-driven architecture using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps ...

scale, complex systems. Architecture & Design Expertise: In-depth understanding of architectural principles and patterns, particularly for distributed systems (e.g., microservices, event-driven architecture using Kafka). Resilience & Performance Optimisation: Skilled in applying resilience mechanisms and performance tuning practices to ensure system stability and efficiency at scale. Cloud Infrastructure & DevOps ...

workflows. Nice to Haves: Web3 Infrastructure: Specific experience in blockchain or decentralised finance (DeFi). Event-Driven Systems: Knowledge of message brokers such as Kafka or NATS. Chaos Engineering: Experience with resilience testing and fault-injection practices. Edge Computing: Familiarity with CDN optimisation and edge-based service delivery. Ecosystem ...

bare-metal systems, hardware failure modes, BMC/IPMI, or cluster schedulers Graph databases Event-driven systems and messaging platforms such as NATS or Kafka Observability platforms such as Prometheus and Grafana Building evaluation frameworks or improving the quality and reliability of LLM-powered systems About Together AI Together ...

drive your journey. What we’re looking for Expert in batch, distributed data processing and near real-time streaming data pipelines with technologies like Kafka, Flink, Spark etc. Experience in Databricks is a plus. Experience in Data Lake/Big Data Analytics platform implementation with cloud based solution ...