dependability and scalability of trading systems. Tech Stack Snapshot: Kubernetes, Docker, Helm, Multi-Public Cloud (AWS, Azure, GCP) Terraform, Jenkins , Python, Java, Go, Rust, Kafka, Prometheus, Grafana, Kubecost etc The successful candidate will have strong experience managing large clusters at scale and a deep understanding of the challenges of more »
with microservices, cloud technologies (AWS, Azure, Snowflake), and service-oriented architecture (REST, WebApi, JSON). Familiarity with Agile, SQL, GraphQL, messaging/streaming technologies (Kafka, MQ), and DevOps practices. Strong testing background, communication skills, and ability to handle high data volumes. Preferred Skills: Experience with enterprise caching, behavior-driven more »
best practices. Monitoring & Databases : Hands-on experience with tools like ELK, CloudWatch, or Fluentd, alongside SQL/NoSQL databases and queuing systems such as Kafka or SQS. If interested please apply! Important Note Please note that sponsorship is not available for this role. Candidates must have the right to more »
Azure Data Factory, Event Hub, etc. Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc. Familiarity with Networking, Windows/Linux virtual machines, Container, Storage more »
in lieu of a degree. US Citizenship and an active TS/SCI with Polygraph security clearance required. Desired Skills: Experience in Debezium and Kafka Experience with container and container orchestration technologies like Docker and Kubernetes Experience with AWS workflow tools and PowerBI/Tableau reporting tools Ability to more »
Scala, Python, and Golang. Supporting experience to execute against database technologies such as PostgreSQL. Supporting experience to execute against cloud technologies such as Hadoop, Kafka, HBase, Accumulo. Experienced with software version control systems, in particular, git. DESIRED SKILLS AND EXPERIENCE: Experience with Computer Vision systems and intelligence collection. CI more »
Scala, Python, and Golang. Supporting experience to execute against database technologies such as PostgreSQL. Supporting experience to execute against cloud technologies such as Hadoop, Kafka, HBase, Accumulo. Experienced with software version control systems, in particular, git. PREFERRED SKILLS AND QUALIFICATIONS: Experience with Computer Vision systems and intelligence collection. CI more »
radar, lidar, GPS, or cameras. Deployment technologies such as: Docker, Kubernetes, Knative, Helm, Rancher. Supporting experience to execute against cloud technologies such as Hadoop, Kafka, HBase, Accumulo. Knowledge of cloud computing platforms and services, such as Amazon Web Services (AWS) or Microsoft Azure. Interested in maintaining and adapting existing more »
radar, lidar, GPS, or cameras. Deployment technologies such as: Docker, Kubernetes, Knative, Helm, Rancher. Supporting experience to execute against cloud technologies such as Hadoop, Kafka, HBase, Accumulo. Knowledge of cloud computing platforms and services, such as Amazon Web Services (AWS) or Microsoft Azure. Interested in maintaining and adapting existing more »
low code/no code platforms like Appian and Decisions, Cloud Computing AWS or Azure (Compute, Storage, Database, Deployment and Application Services, EKS, SharePoint, Kafka, Microservices etc.). Experience in Financial Services or another regulated industry. Strong academic background, educated to degree level, ideally in computer science or engineering. more »
low code/no code platforms like Appian and Decisions, Cloud Computing AWS or Azure (Compute, Storage, Database, Deployment and Application Services, EKS, SharePoint, Kafka, Microservices etc.). Experience in Financial Services or another regulated industry. Strong academic background, educated to degree level, ideally in computer science or engineering. more »
and must meet eligibility requirements for access to classified information. U.S. citizenship is required. Desired Skills and Experience Experience and or knowledge of OpenShift, Kafka, AWS, Azure, implementations Basic knowledge of satellite operations, signal processing, digital communications theory, network communications, Oracle data base experience Unix Shell Scripting Structured Query more »
Kubernetes. Hands-on experience with AWS services (EC2, RDS, ElastiCache, etc.). Experience with relational databases (i.e. PostgreSQL). Experience with messaging services (i.e. Kafka, ActiveMQ, Camel Route, etc.). Experience with remote debugging (JDWP). Experience working within Linux. Experience with Jira, Confluence, and GIT.Desired Qualifications: Experience working more »
Redwood City, California, United States Hybrid / WFH Options
Karius
and third-party data sources - Batch and Stream Processing : Experience in building scalable infrastructure for batch processing (e.g., Spark, Hadoop) and stream processing (e.g., Kafka, Kinesis) for large volumes of data • Developer Toolset : Proficiency in programming languages for data engineering (i.e. Python and SQL) applied in conjunction with SDLC more »
compute, preferably Apache Spark. Experience with high-performance table formats, e.g., Apache Iceberg; proficiency in different databases. Expertise in distributed event streaming platforms, e.g., Kafka; experience building microservices as containerized applications. Expertise in building real-time or near real-time software handling extremely high volumes. Demonstrated prior experience with more »
Cramlington, Northumberland, United Kingdom Hybrid / WFH Options
Tech4 Ltd
integration across various systems Streaming Data Platform Development: Lead the development and maintenance of a real-time data streaming platform using tools like ApacheKafka, Databricks, Kinesis. Ensure the integration of streaming data with batch processing systems for comprehensive data management Cloud Infrastructure Management: Utilize AWS data engineering services more »
Northumberland, North East, United Kingdom Hybrid / WFH Options
Tech 4
integration across various systems Streaming Data Platform Development: Lead the development and maintenance of a real-time data streaming platform using tools like ApacheKafka, Databricks, Kinesis. Ensure the integration of streaming data with batch processing systems for comprehensive data management Cloud Infrastructure Management: Utilize AWS data engineering services more »
Data Engineering and Analytics: Work closely with data teams to define robust data pipelines and scalable cloud-based data platforms using tools like ApacheKafka, Snowflake, or Databricks. Monitoring and Performance Tuning: Implement advanced monitoring and observability solutions using tools like Prometheus, Grafana, or Datadog to proactively identify and more »
Data Engineering and Analytics: Work closely with data teams to define robust data pipelines and scalable cloud-based data platforms using tools like ApacheKafka, Snowflake, or Databricks. Monitoring and Performance Tuning: Implement advanced monitoring and observability solutions using tools like Prometheus, Grafana, or Datadog to proactively identify and more »
Data Engineering and Analytics: Work closely with data teams to define robust data pipelines and scalable cloud-based data platforms using tools like ApacheKafka, Snowflake, or Databricks. br Monitoring and Performance Tuning: Implement advanced monitoring and observability solutions using tools like Prometheus, Grafana, or Datadog to proactively identify more »
Based Certifications. - Experience developing custom visualizations and dashboards (preferably in Kibana) - Experience with implementation and maintaining event streaming technologies, such as Apache or Confluent Kafka - Experience with JIRA, Confluence, and Git - Experience with JSON, NodeJS, AngularJS, and DB/data query - Logical problem-solving approach and the ability to more »
onsite every week FTC or Contract Inside JD Skills:- Must Have practical experience in these AWS, Kubernetes, Docker, Istio, Terraform, Java, Spring, Spring Boot, Kafka, GitLab, Helm, Maven and Argo CD AWS Services, Docker, Kubernetes, Istio, Java, Spring, Springboot, Kafka. This is because one of the major parts of more »
with top industry professionals to tackle complex security challenges and contribute to the development of robust security frameworks. 💻 Tech stack: Java, SpringBoot, AWS, microservices, Kafka, Docker, Kubernetes, CI/CD, Agile 📍 Hybrid (1-3 days a week in the London office – very flexible) 💰 £80-£120k + bonus + benefits more »
Physics, Computer Science, Engineering etc Software Development experience in Python or Scala An understanding of Big Data technologies such as Spark, messaging services like Kafka or RabbitMQ, and workflow management tools like Airflow SQL & NoSQL expertise, ideally including Postgres, Redis, MongoDB etc Experience with AWS, and with tools like more »
Azure, API versioning, Docker, authentication protocols, Git Attributes : Excellent problem-solving, communication, and collaboration skills Nice to have: Experience with message queues (RabbitMQ or Kafka) Knowledge of service discovery and API gateway patterns Familiarity with WebSocket services for real-time features Experience with data warehousing and analytics solutions Understanding more »
