551 to 575 of 971 Kafka Jobs

enjoy writing testable code and believe in Test Driven Development Nice to have: You have experience with Spring boot You have experience with Kafka You have worked with BFFs (Backend-for-Frontends) Additional Information Interested? Find out more: How we work – a practical guide DEI @ Wise Wise Tech Stack ...

tooling to accelerate your workflow and automate where necessary Nice-to-haves Experience meeting WCAG accessibility requirements React Native experience Event-driven systems utilising Kafka, Kinesis, Rabbit MQ Serverless architecture Exposure to Python and Flask/Django What Unibuddy offer Highly flexible work culture Private healthcare Life insurance coverage ...

must Ability to meet deadlines You will have an advantage if you also have: SSAS/SSRS/SSIS Newer data/streaming platforms: Kafka, MSK, Snowflake, Aurora DB, SNS AWS, AWS CLI management MS Azure database management MCSE/MCDBA/OCP NET technologies PowerShell C# Rubrik ...

experience in software engineering, MLOps, and deploying machine learning models at scale. Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure). Industry knowledge: Experience in gaming or digital entertainment is a strong plus. This ...

experience in software engineering, MLOps, and deploying machine learning models at scale.* Proficiency in SQL, Python, and familiarity with big data technologies (e.g., Kafka, Spark) and/or cloud platforms (e.g., GCP, AWS, or Azure).* Industry knowledge: Experience in gaming or digital entertainment is a strong plus. ...

auction systems Excellent communication skills, able to explain complex technical systems to commercial, operations and senior leadership teams. Experience with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse or similar production infrastructure Experience owning product roadmaps, release governance or cross-functional delivery across distributed teams and time zones. What ...

auction systems Excellent communication skills, able to explain complex technical systems to commercial, operations and senior leadership teams. Experience with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse or similar production infrastructure Experience owning product roadmaps, release governance or cross-functional delivery across distributed teams and time zones. Experience ...

bordereaux standards.* Experience with delegated authority or Lloyd’s ecosystem platforms.* Experience with tools such as Azure Integration Services, MuleSoft, Boomi, IBM MQ, Kafka, REST/SOAP, XML, JSON, and managed file transfer solutions.* Knowledge of cloud and hybrid integration architecture.* TOGAF or similar architecture framework knowledge.* Degree ...

growing team, and you know when to ask for help. Bonus points for Experience with streaming or real-time data (such as Kafka or Kinesis) Exposure to CDPs, product analytics or customer data tooling Python, or experience presenting analysis in notebooks Experience selling into retail, media, iGaming or financial ...

Observability Platforms (example products IBM Netcool, (Watson CloudPak AiOps), Tivoli, SCOM, SMARTS, Dynatrace, Splunk, Elastic, Prometheus, Grafana or Messaging systems for telemetry transport like Kafka, OTEL) Formal training or certification onsoftware engineeringconcepts and expert applied experience. In addition, advanced experience leading technologists to manage, anticipate and solve complex technical ...

using Node.js . Platform & API architecture: Deep experience with REST/GraphQL APIs, microservices, Backend-for-Frontend (BFF) patterns, and data persistence (PostgreSQL, Elasticsearch, Kafka) . Pragmatic delivery & platform mindset: Eagerness to balance high architectural quality with rapid, iterative product delivery that enables both end-users and developer teams ...

driven mindset, with the ability to work closely with engineering teams Hands-on experience with high-performance messaging or sequencing platforms such as Aeron, Kafka, Hydra, or equivalent — including an understanding of message ordering, state machine replication, and fault-tolerant distributed systems Demonstrable exposure to low-latency or high ...

Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) a plus. Domain Knowledge: Exceptional understanding of the Funds business lifecycle, financial instruments, market data, and investment operations. In-depth knowledge of regulatory reporting ...

services using Node.js. Platform & API architecture: Deep experience with REST/GraphQL APIs, microservices, Backend-for-Frontend (BFF) patterns, and data persistence (PostgreSQL, Elasticsearch, Kafka). Pragmatic delivery & platform mindset: Eagerness to balance high architectural quality with rapid, iterative product delivery that enables both end-users and developer teams. ...

security, databases, machine learning, and serverless technologies - Experience in performance optimization and cost management for cloud environments - Database experience (e.g. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Experience with automation and scripting (e.g., Terraform, Python) - Knowledge of security and compliance standards (e.g., HIPAA, GDPR) - Experience with AWS data/file ...

design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks Ability to think strategically and relate architectural ...

driven mindset, with the ability to work closely with engineering teams. Hands-on experience with high-performance messaging or sequencing platforms such as Aeron, Kafka, Hydra, or equivalent — including an understanding of message ordering, state machine replication, and fault-tolerant distributed systems Demonstrable exposure to low-latency or high ...

following tools and technologies:- Go to write our application code (there’s an excellent interactive Go tutorial here)- Cassandra for most persistent data storage- Kafka for our asynchronous message queue- Kubernetes and Docker to schedule and run our services- AWS for most of our production infrastructure ...

formal authority. Deep expertise designing, building, and operating distributed systems and platforms at scale, in any domain Strong Familiarity with event-driven architectures (e.g. Kafka) and the tradeoffs of distributed systems at scale. Strong judgment on when to go deep versus when to zoom out: you can flex between ...

system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud-native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput — able to reason about trade-offs with confidence, without needing to be the most technically specialist ...

BigQuery, Dataflow, Cloud Storage, Pub/Sub, and related GCP services. Develop data-processing components and integrations using Java or Python, SQL, REST APIs, Kafka, and containerized services on GKE. Implement reusable ingestion and transformation frameworks supporting full, incremental, and event-driven loads. Design data models and optimize BigQuery … production support. Good understanding of ETL/ELT, data warehousing, data lakes, dimensional modelling, batch processing, and stream processing. Experience with Apache Beam, Kafka, REST APIs, Docker, Kubernetes, or GKE. Experience with data formats such as JSON, CSV, Avro, and Parquet. Working knowledge of Git, automated testing, CI/ ...

backend development – enough to lead by example and contribute to technical decisions. Experience with our core stack — a Java Spring Boot, AWS, Kubernetes and Kafka back end, with a TypeScript/React front end. Experience designing and building services within a microservices or domain‐driven architecture — defining service boundaries … working with asynchronous, event‐driven communication (e.g. via Kafka) — and an understanding of how those decisions play out once services are running in production. CI/CD, containerisation, and modern DevOps practices applied as part of everyday delivery. Security best practices embedded in day‐to‐day development. An interest ...

codified cloud infrastructure throughout. You will need proven experience working with the following: Recent Java development on AWS Building microservices and RESTful APIs Kafka and event-driven architecture Containerisation with Docker Infrastructure as Code (Terraform) and GitLab CI pipelines TDD, BDD and agile delivery Node.js experience would be beneficial … obtain SC clearance; active SC is highly desirable. Interested? Please apply below. Senior Java Developer, Java Engineer, Software Engineer, Java, AWS, Microservices, REST APIs, Kafka, Docker, Terraform, GitLab CI, TDD, BDD, Agile, Glasgow, Newcastle, Leeds, Sheffield, Manchester, Birmingham, Blackpool, Cardiff, Hybrid/Remote, Contract, Inside IR35 ...

codified cloud infrastructure throughout. You will need proven experience working with the following: Recent Java development on AWS Building microservices and RESTful APIs Kafka and event-driven architecture Containerisation with Docker Infrastructure as Code (Terraform) and GitLab CI pipelines TDD, BDD and agile delivery Node.js experience would be beneficial … obtain SC clearance; active SC is highly desirable. Interested? Please apply below. Senior Java Developer, Java Engineer, Software Engineer, Java, AWS, Microservices, REST APIs, Kafka, Docker, Terraform, GitLab CI, TDD, BDD, Agile, Glasgow, Newcastle, Leeds, Sheffield, Manchester, Birmingham, Blackpool, Cardiff, Hybrid/Remote, Contract, Inside IR35 ...

Gradle, Java, Kafka, REST APIs, Spring Boot An established global financial institution renowned for providing innovative banking, investment, and financial services to millions of customers worldwide. The company undertakes large-scale technology initiatives while prioritizing digital transformation, security, and continuous innovation. We're looking for an experienced Backend Engineer … #LI-OK4 Requirements Strong hands-on experience with Java 17+ and Spring Boot 3 Proven experience building and maintaining microservices architectures Practical experience with Kafka (producers, consumers, event-driven patterns) Strong understanding of REST API design best practices Proficiency with Gradle for build management Familiarity with MapStruct and Feign ...