876 to 900 of 1,255 Kafka Jobs

pipelines, implementing data storage solutions, and ensuring data security. Ideal candidates should have strong Python skills, experience with Azure Data Factory, and knowledge of Kafka for real-time data streams. The company offers a collaborative environment, 25 days of annual leave, and various benefits including flexible working. #J ...

STEM degree and strong Java or Python expertise, plus hands-on experience with AI-assisted development, distributed systems and messaging middleware such as Kafka #J-18808-Ljbffr ...

Python development experience. Experience building or working with RESTful microservices. Experience working with large-scale datasets. Exposure to big data technologies such as Spark, Kafka, or similar. Previous experience within financial services is advantageous but not essential. A strong academic background, ideally with a degree in Computer Science ...

written)Additional InformationSubstantial prior experience with implementing or working with a Risk & PnL engineInterest in financial and commodities marketsSysAdmin experience, e.g. cloud infrastructure, Redis, Kafka, CMake, network sockets techCandidate would have architected and delivered complex systems against ambiguous high level requirements and built high performance algorithms and grid/ ...

responsive and user-friendly interfacesIntegration & Backend Awareness: Basic understanding of backend services and API-driven architecturesExposure to integration concepts and messaging is a plus (Kafka, MQ)Experience with Loan IQ integration, APIs, and data model is a strong plusDevOps & Tooling: Exposure to CI/CD tools (e.g., GitLab, Jenkins ...

autonomy, and commitment to engineering best practice Collaborative mindset and continuous‐learning approach Financial services or regulated‐industry exposure Docker/Snowpark Streaming tech (Kafka, Event Hub) In return In return, they’re offering a fantastic package including £100k salary plus 10% bonus, 9% pension, LTIP and hybrid working ...

technical topics clearly to both technical and non-technical stakeholders. Fluent in English, both written and spoken. What makes you stand outExperience with Java, Kafka, and OpenShift. Knowledge of ITIL practices and service management processes. ITIL Foundation certification, or willingness to obtain it. Experience supporting large-scale, business-critical ...

Kinesis Databricks and Snowflake running on top of AWS Spark and distributed processing frameworks for large-scale data Streaming technologies such as Kinesis or Kafka You're expected to pick the right tools for the problem within the AWS ecosystem, not just default to whatever you know best. What ...

cost management for cloud environments - Experience communicating technical concepts to diverse audiences in pre-sales environments - Experience in database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) - Bachelor's degree in computer science, engineering, mathematics or equivalent Amazon is an equal opportunity employer and does not discriminate on the basis ...

software delivery and elevating code quality. This role is eligible for inclusion in the companys hybrid work from home policy. Qualifications Solid understanding of Kafka, SQL, .NET, Golang, and React (or similar technologies). Experience developing scalable systems, preferably in a cloud environment (GCP experience is a plus). ...

software delivery and elevating code quality. This role is eligible for inclusion in the companys hybrid work from home policy. Qualifications Solid understanding of Kafka, SQL, .NET, Golang, and React (or similar technologies). Experience developing scalable systems, preferably in a cloud environment (GCP experience is a plus). ...

driven development (TDD) principles (e.g., Vitest, Playwright, Jest). Distributed Systems Knowledge: Familiarity of distributed systems, including building scalable and resilient services (e.g., Redis, Kafka, AWS infrastructure). Problem-Solving & Collaboration: Strong problem-solving skills and effective collaboration with immediate and cross-functional team members. About ...

designing, building, and operating backend software systems in production environments. Strong Java development skills and experience building production grade backend services, as well as Kafka, MySQL or comparable backend technologies. Experience technically leading a small engineering team while remaining an active contributor to the codebase. Experience coaching and mentoring ...

SystemsOpen source based distributed systems on Linux, Kubernetes, KafkaExperience with one or more of Linux, Unix, MVS, VM, SuperVision, HMC, ServiceNow, CoPilot, ChatGPT, Kubernetes, Kafka, Opera, DB2, ClickHouse/Splunk or CassandraStrong troubleshooting, critical-thinking and incident management skillsExcellent verbal/written communication, organizational skills; ability to prioritize ...

building a production-grade runtime, compiler, workflow engine, distributed training system, database, debugger, or orchestration platform Meaningful contributions to systems such as Ray, Temporal, Kafka, Erlang/BEAM, PyTorch, JAX, TensorFlow, or comparable projects Strong API design judgement, open-source collaboration, and disciplined approaches to testing, versioning, compatibility ...

raise the collective technical bar Solid understanding of cloud infrastructure (AWS/GCP), distributed systems, container orchestration, data engineering (batch pipeline, feature store, Kafka) People-first culture — Be part of a team that values authenticity, champions collaboration, and supports each other—no egos, just teamwork. Work alongside top talent ...

better-rounded professional. BASIC QUALIFICATIONS - 7+ years of technical specialist, design and architecture experience - 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience - 7+ years of consulting, design and implementation of serverless distributed solutions experience - 5+ years of software development with object oriented language experience - 3+ ...

Snowflake experience is relevant and transferable but Databricks experience is preferred. Experience with Python, SQL and production analytics workflows; familiarity with big-data engineering, Kafka, Power BI, dashboards, APIs or workflow automation would be advantageous. Experience in data modelling, semantic layers, canonical data views, data catalogues, data quality, lineage ...

integration with enterprise systems. Data Engineering & Platforms Ability to build and maintain data pipelines ingestion, transformation, serving, and monitoring using tools such as Airflow, Kafka, dbt, or equivalents. Working familiarity with modern data platforms (Snowflake, Databricks, BigQuery, or similar), including data modeling and performance fundamentals. Strong debugging instincts with ...

years of experience deploying and operating cloud applications, including AWS and GCP. Azure experience is a plus. 3+ years of experience managing high‐availability Kafka clusters, with a strong understanding of Kafka internals, including brokers, producers, consumers, and partitions. 3+ years of database administration experience with technologies such ...

seriesProficiency in SQL and NoSQL databasesAzure Services & Integration: Significant experience with Azure Functions, Web Apps, distributed/event-driven architecture (event hub, event bus, Kafka), ELKIntermediate to advanced exposure to Azure Active Directory, Azure Data Factory, Azure Data Lake, Azure Storage, Azure Kubernetes Service, CosmosDB, Azure SQLIntegration experience with … Confluent/Kafka, API Management, Logic AppsCI/CD & DevOps: Brings substantial experience in CI/CD delivery, working with tools such as Git, GitHub, VSTS/Azure DevOps, Terraform, and AnsibleAgile & Engineering Standards: Practical agile experience in both start-up and enterprise environmentsLead the engineering community to follow ...

Spring technologies. 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 … maintain Back End microservices using Java 17+ and Spring Boot 3 Design and implement clean, well-documented REST APIs Build event-driven services using Kafka for asynchronous communication Apply domain-driven design principles to structure services around business capabilities Use MapStruct for clean object mapping and Feign for service ...

easy for other engineers to use. In this role, you’ll: Design, operate, and continuously improve highly available platform services, including managed Kubernetes clusters, Kafka, CI/CD systems, artifact management, and related shared infrastructure Build secure, scalable infrastructure across AWS and other cloud environments using infrastructure as code … Lambda, VPC, and networking Experience administering and scaling multi-tenant Kubernetes clusters and streaming platforms such as Kafka in production, including upgrades, workload isolation, reliability, security, and incident response Experience building and maintaining infrastructure as code, pipeline-as-code, containerization, and cloud-native systems using tools such as Terraform ...

enterprise applications and AI services Develop microservices-based architectures supporting orchestration, workflow automation and knowledge access Implement event-driven solutions using technologies such as Kafka and Pub/Sub Develop enterprise authentication and authorisation solutions using OAuth, SAML and SSO Build and manage integrations through API Gateways , focusing … highly available platforms . Strong experience in several of the following would be highly beneficial: Java, Python or Node.js REST APIs and microservices Kafka, Pub/Sub or other event-driven technologies Kubernetes/OpenShift and containerisation OAuth, SAML and SSO API Gateways and enterprise integrations Cloud-native development ...

enterprise applications and AI services Develop microservices-based architectures supporting orchestration, workflow automation and knowledge access Implement event-driven solutions using technologies such as Kafka and Pub/Sub Develop enterprise authentication and authorisation solutions using OAuth, SAML and SSO Build and manage integrations through API Gateways , focusing … highly available platforms . Strong experience in several of the following would be highly beneficial: Java, Python or Node.js REST APIs and microservices Kafka, Pub/Sub or other event-driven technologies Kubernetes/OpenShift and containerisation OAuth, SAML and SSO API Gateways and enterprise integrations Cloud-native development ...