in following Application Development areas: " Expertise in application architecture using modern technologies such as cloud native development, 12 factor Apps, microservices, serverless, API management, Kafka, etc. " Deep knowledge of Microservices, Containers, REST APIs development, API Management tools (e.g. MuleSoft, Apigee), Kafka " Solution architect with broad expertise in wide more »
in following Application Development areas: Expertise in application architecture using modern technologies such as cloud native development, 12 factor Apps, microservices, serverless, API management, Kafka, etc. Deep knowledge of Microservices, Containers, REST APIs development, API Management tools (e.g. MuleSoft, Apigee), Kafka Solution architect with broad expertise in wide more »
Software Engineer London Bridge (2 days office based, 3 days remote working) Up to £80,000 We are looking to recruit a Software Engineer. We are one of the UKs leading and award-winning providers of affordable homes in London more »
HELM and associated deployment technologies Proven track record through the full product cycle from design to deployment Experience with middleware technologies such as AMQP, Kafka, JMS Knowledge of data storage systems like S3, Couchbase, MongoDB Practical experience with CI/CD pipelines and DevOps engineering Why Join the Client more »
platforms In-depth knowledge on key technologies like Big Query/Redshift/Synapse/Pub Sub/Kinesis/MQ/Event Hubs, Kafka Dataflow/Airflow/ADF etc Strong proven knowledge of Kimball/Dimensional data modelling and/or Data vault If you are interested more »
with minimal supervision Desirable Requirements: Experience with: CI/CD pipelines setup and config Document-based/No-SQL databases The ELK stack ApacheKafka Spring Security and OAuth2 flows React React Native Keycloak Camunda OpenAPI/Swagger Nginx setup and config The company offers fantastic benefits including; Hybrid more »
Java components using JUnit or similar testing tools. Collaborate with the existing development team to ensure seamless integration with our current technology stack, including Kafka or RabbitMQ for messaging. Implement and maintain database solutions with PostgreSQL or other relational databases, and Redis Utilize Docker Compose for defining and running more »
London, England, United Kingdom Hybrid / WFH Options
BlackRock
building distributed applications using SQL and/or NOSQL technologies like MS SQL, Sybase, Cassandra or Redis Prior experience in message brokers such as Kafka or messaging frameworks such as gRPC is a plus Understanding of relational databases is a must Strong analytical and software architecture design skills with more »
datasets, and transitioning towards event-driven architecture Utilizing Java 17+ with Spring/Spring Boot 3+, SQL/Oracle Effective experience with Redis, ApacheKafka, Flink or similar Striving for Serverless solutions utilizing Linux, virtualization, containers, docker, Kubernetes, potentially in production environments, but at least for testing purposes Production more »
central London office - the 2 days you work are totally up to you! Essential Skills: Java (ideally 8 or 11) Experience within Finance Blockchain Kafka Kubernetes CI/CD and relevant tooling (Jenkins) TDD Docker Desirable: Kotlin Blockchain technologies Benefits: Salary up to £130 000 pa Private medical Discretionary more »
moderate-to-complex data flows as part of a development team in collaboration with others. You’ll be confident using technologies such as: ApacheKafka, Apache NiFi, SAS DI Studio, or other data integration platforms. You can implement, deliver, and translate several data models, including unstructured data, document formats more »
for you. They're seeking a skilled Java Engineers to help create meaningful solutions using modern Java related technologies such as Spring Boot, Microservices, Kafka, Kubernetes, Docker all while harnessing the power of AWS. Key Responsibilities : Develop and maintain Java applications with Spring Boot and microservices. Collaborate with cross more »
Kubernetes, Terraform, CI/CD tools strong observability experience, ideally with more modern approaches like Prometheus, Grafana, Open Telemetry comfortable with databases exposure to Kafka would be ideal more »
stack Experience - 7+ yrs Contract duration - 12 Months Location - Hybrid ( 2 days a week) JD : Experience of working with Streaming & Batch technology stack – Confluent Kafka, Mongdb , Streamsets, IBM CDC, Hive, Hadoop, API, Informatica, Airflow, and other similar technologies SME level skills and experience of designing/architecting test automation more »
Greater London, England, United Kingdom Hybrid / WFH Options
Fabric
platforms like AWS, GCP, or Azure Comfortable working with message queues and/or event-driven architectures (e.g. SQS/SNS, Pub/Sub, Kafka, RabbitMQ) Experience with Docker Familiarity with Redis Excellent written communications skills (necessary for remote work) Desirable: Experience with Elasticsearch and search in general Knowledge more »
systematic strategies in production, build tools to monitor strategies, build research infrastructure - with a heavy focus on data engineering. Tech stack: Python, Pandas, AWS, Kafka Requirements: Bachelors or Masters in an engineering or quantitative subject Strong Python production coding skills (deployed to AWS) Strong data engineering skills (e.g. ETL more »
particularly .NET 5+. Mathematics skills such as dealing with matrices, probabilities, and statistics. Familiarity with SQL and experience working with relational databases. Experience using Kafka or equivalent distributed event store and stream-processing platform. Experience working with Redis or equivalent in-memory storage. Experience working with AWS S3, Athena more »
Databricks Data Warehousing Data Engineering Very strong with the Microsoft Stack ESSENTIAL knowledge of PySpark clusters Python & C# Scripting experience Experience of message queues (Kafka) Experience of containerization (Docker) FINANCIAL SERVICES EXPERIENCE (Energy/commodities trading) If you have the above, please do apply right away. archie.odonovan@harringtonstarr.com more »
for FIS On-Prem products such as POM & TWR Exposure to technology stacks such as Java, Standard Application servers, Kubernetes, Dockers, Elastic Search, MQ. Kafka, RESTFUL API, Transformer, API GWY & Microservice adapters such as CBIS, FSIS. Experience in deriving BCP plan for FIS PaaS Solution & Products Ideally some knowledge more »
with AWS and Snowflake. Experience with various programming languages, such as Python and Java. Familiarity with streaming/event-driven architecture, including tools like Kafka and Kinesis/Firehose. Expertise in data ingestion techniques, encompassing both stream and batch processing. Proficiency using tools like Terraform for Infrastructure-as-Code more »
record of delivering production-ready distributed systems. Extensive experience in designing high-availability systems with swift recovery mechanisms. Familiarity with messaging systems such as Kafka (or alternative messaging systems). Proficiency in working with containerized microservices architectures and Kubernetes. Previous exposure to Asset Management systems or Algo-based financial more »
Management, Incident Response, and Capacity Planning for a number of their core services. Some of their key technologies are: AWS Cloud, Dynatrace, Terraform, Biztalk, Kafka Key Responsibilities: Part of the Platform Operations team with a heavy focus on platform and system operations in Production. Collaborate with Client Services, Application more »
London, England, United Kingdom Hybrid / WFH Options
Harnham
As a Machine Learning Engineer: Apply Machine Learning Engineering project You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will be working with a team of … of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. A more »
London, England, United Kingdom Hybrid / WFH Options
Harnham
As a Machine Learning Engineer: Apply Machine Learning Engineering project You will build the Machine Learning Infrastructures interacting with CI/CD pipelines, MLFlow, Kafka, and Kubernetes. Lead a Team of ML Engineers. You will be developing and Deploying Advanced Analytical algorithms/scalable solutions using Cloud. You will … of Machine Learning and clustering techniques with commercial experience as a Data Scientist. DevOps experience in CI/CD. Experience using Tensorflow, Kubernetes, MLFlow, Kafka, and Airflow. Experience using Python is a must (tools like AWS and Spark are beneficial) Excellent communication skills and team and colleague engagement. A more »
