376 to 400 of 590 Kafka Jobs in the UK

optimise data platforms to ensure performance and reliability. Skills and Experience Required: ETL development using Python or similar languages Apache Spark, NiFi, or Kafka Relational (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra) databases AWS and cloud-based data services Palantir Foundry Stakeholder Engagement Why Apply? Work on mission-critical ...

Experience as a technical specialist in customer‐facing roles Experience designing or operating messaging and event‐driven systems in production environments (e.g., RabbitMQ, Apache Kafka, ActiveMQ, Amazon SQS/SNS, or similar) Preferred Qualifications Experience implementing cloud services including migrations and modernization projects or equivalent Experience designing or architecting ...

/MS in Computer Science or related field. Familiarity with any or some of tech stack and languages: Java, Golang, No-SQL databases, Apache kafka, caching technologies like Redis, authN/AuthZ. Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive ...

collaborative agile team. The role targets graduates and early-career developers with solid fundamentals in data structures, algorithms, and distributed systems, plus exposure to Kafka, Docker, or Kubernetes. Hybrid work in the UK is offered. #J-18808-Ljbffr ...

build and evolve pricing and promotions services powering multiple customer channels. You'll develop scalable microservices and APIs using Java or Kotlin, participate in Kafka-based event-driven architectures, and design GraphQL APIs while ensuring performance and operations across high-volume systems. Collaborative culture in a fast-paced environment ...

latency environment and collaborate with product teams to deliver reliable, scalable systems. You’ll work on event‐driven data processing with Flink and Kafka, develop Java and .NET APIs, and drive observability and cost‐efficient operations while #J-18808-Ljbffr ...

time, low-latency payment platforms and contribute across the full software lifecycle in a high-performance environment. You will design scalable microservices, work with Kafka/JMS/Akka for event-driven architectures, and collaborate with architects, engineers, and client teams to deliver robust solutions. #J-18808-Ljbffr ...

Chainalysis, we are at the forefront of this development. Technologies in Use Technologies we use include: AWS serverless architectures Kubernetes PostgreSQL Spark Typescript Terraform Kafka Github (including Github Actions) Java Data Platform Development We are building the data platform for blockchain, cryptocurrency, and web3. The Protocol Acquisition (PA) team ...

Chainalysis, we are at the forefront of this development. Technologies in Use Technologies we use include: AWS serverless architectures Kubernetes PostgreSQL Spark Typescript Terraform Kafka Github (including Github Actions) Java Data Platform Development We are building the data platform for blockchain, cryptocurrency, and web3. The Protocol Acquisition (PA) team ...

will have Go experience, Java is also beneficial. The platform you'd be working on is built using modern tools such as Go, Java, Kafka and Docker. You'll be you will be building and enhancing features and coordinate and work with other Engineers across the platform to share ...

other experience can be considered) Comfortable/experienced with back-end micro-service architecture and communication, specifically REST and asynchronous messaging services (e.g., Kafka, RabbitMQ etc.) Comfortable/experience within a Scrum framework working with as part of a team to deliver business functions and customer journeys that ...

fast-paced startup or scale-up environments Passion for solving customer problems and influencing product direction Technical Environment: Go, TypeScript, React, Next.js, PostgreSQL, Kafka, Redis, AWS, GCP, AI/LLMs If you're a Senior Full Stack Engineer looking to join a high-growth product business where ...

evolve the end-to-end domain architecture. You will have hands‐on implementation experience as an architect. Skills Required Event‐driven architecture at scale – Kafka, Pub/Sub, SNS/SQS. API‐led design – REST and/or gRPC. Distributed data stores – operational non‐relational stores. Cloud platforms ...

Strong experience with the SQL Server platform and T-SQL querying. Familiarity with cloud data platforms (e.g., AWS, Azure) and big data technologies (e.g., Kafka, Spark, Databricks, Snowflake). Expert-level knowledge of building ETL processes in Python. Expert-level knowledge of performance tuning and optimization in a Python ...

telemetry implementation. Strong Java application troubleshooting skills, including JVM performance analysis, garbage collection and thread investigation. Experience supporting messaging technologies such as ActiveMQ, Kafka or RabbitMQ. Linux administration (CentOS/RHEL), including patching, package management, security remediation and system troubleshooting. Experience building deployment automation and configuration management solutions. Strong ...

Working knowledge of CDN/WAF platforms (Akamai Ion, Kona, Cloudflare) and WAF-as-code automation Experience with PostgreSQL (HA, connection pooling, PITR) and Kafka (MSK, Schema Registry, DLQ patterns) Familiarity with DNS steering (GeoDNS, Akamai GTM, health-check routing) and TLS certificate lifecycle (cert-manager, HSM/ ...

deliver well tested, well monitored software in a hands‐on role Preferred Relational and analytic databases (e.g. Postgres, Clickhouse) Messaging and middleware (e.g. Aeron, Kafka) Personal Attributes: You are a smart, self‐driven professional with a curious mind. You are comfortable working at multiple levels of abstraction. You enjoy ...

Strong background in data platforms, platform engineering or cloud infrastructure (ideally AWS). Experience with distributed systems, event‐driven architectures and streaming technologies (e.g., Kafka). Excellent stakeholder management and communication skills, with experience working across cross‐functional teams. A balanced approach to technical leadership and people development, with ...

distributed systems and cloud‐native architectures, with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg ...

Modern tech stack and commitment to engineering excellence Professional development opportunities and conference attendance Technology Stack Primary language: Rust Additional tools: C++, Python, Kubernetes, Kafka, ClickHouse Infrastructure: AWS, bare metal colocation in strategic locations Monitoring: Prometheus, Grafana, custom observability tools #J-18808-Ljbffr ...

ownership from a product based company. Primarily you’ll be working on the backend of their stack with Node.JS, Ruby, and Kafka, impacting everything from the development of APIs and the user interface to the database. However, they know that a good developer can pick up a new language ...

distributed systems and cloud-native architectures, with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg ...

implement efficient data structures and algorithms Experience with any SQL/No SQL databases (Oracle, MySql, Postgres, Mongo, Cassandra, etc) Experience with any MQ (Kafka, Tibco, Solace, etc) Good understanding of how Linux/JVM works Passion to write code using TDD and be ready for L3 support Qualifications ...

distributed systems and cloud-native architectures, with experience shaping technical direction across teams and stakeholders Solid expertise in relevant technologies such as AWS, Terraform, Kafka/MSK, Airflow, Glue or Spark, and building scalable data solutions Experience with modern data ecosystems including data lakes/lakehouse architectures, Iceberg ...

Strong background in data platforms, platform engineering or cloud infrastructure (ideally AWS). Experience with distributed systems, event-driven architectures and streaming technologies (e.g. Kafka). Excellent stakeholder management and communication skills, with experience working across cross-functional teams. A balanced approach to technical leadership and people development, with ...