owners to translate user needs into functional and intuitive applications. Develop and maintain robust Java applications using Spring Boot and microservices architecture. Implement real-time data streaming solutions using Kafka to ensure timely and accurate data delivery. Optimize application performance to handle large datasets and complex financial calculations. Ensure the reliability, scalability, and security of our applications. Write high More ❯
and can support the team by demonstrating approaches such as CI/CD standard methodology, Pair Programming, TDD, and BDD. Technical understanding of: Spring boot, Maven, GitHub, Jenkins, JSON, Kafka, WMQ, REST APIs, Database SQL, Docker and Kubernetes Experience working on any one of the cloud-based tools - GCP, MS Azure, AWS Nice to have skills: Experience in Banking More ❯
ability to work independently with little supervision. Basic Qualifications: Proficiency and/or knowledge of the following: Angular, JavaScript, CSS, & HTML, & Material UI, JAVA etc AWS Cloud, EKS, Kubernetes, Kafka, Jenkins, Ansible, Docker, GIT, Red Hat Enterprise Linux (RHEL) Oracle/MySQL/Postgres, microservices, Springboot, Java. KABANA or Dynatrace dashboard for monitoring and alerting. Security tools like Anchore More ❯
Git, Maven, Jenkins, CI/CD) Excellent communication and teamwork skills Bonus Points For Experience in payments, financial services, or fraud detection Familiarity with Big Data tools (Hadoop, Spark, Kafka) Exposure to cloud-native architecture (AWS, GCP, Azure) Understanding of TDD/BDD and modern testing frameworks What's On Offer Hybrid Working - Flexibility with 2 remote days per More ❯
procedures, triggers, performance tuning) and experience with NoSQL (MongoDB, Cassandra). Experience migrating RDBMS to cloud/NoSQL is a significant plus. Middleware: Hands-on experience with Tibco EMS, Kafka, MQ, JMS. Cloud & DevOps: Developing/deploying applications to cloud platforms (AWS, GCP, PCF). Strong experience with Agile/SCRUM, CI/CD automation (Jenkins, Bamboo, UrbanCode), and More ❯
ability to work independently with little supervision. • Proficiency and/or knowledge of the following: o Angular, JavaScript, CSS, & HTML, & Material UI, JAVA etc o AWS Cloud, EKS, Kubernetes, Kafka, Jenkins, Ansible, Docker, GIT, Red Hat Enterprise Linux (RHEL) o Oracle/MySQL/Postgres, microservices, Springboot, Java. • KABANA or Dynatrace dashboard for monitoring and alerting. • Security tools like More ❯
Numpy or OpenCV. Knowledge of ML model serving infrastructure (TensorFlow Serving, TorchServe, MLflow). Knowledge of WebGL, Canvas API, or other graphics programming technologies. Familiarity with big data technologies (Kafka, Spark, Hadoop) and data engineering practices. Background in computer graphics, media processing, or VFX pipeline development. Experience with performance profiling, system monitoring, and observability tools. Understanding of network protocols More ❯
Hands-on knowledge in designing, writing, and reviewing high performant reactive clean code • Solid experience in building cloud native, event driven, scalable, distributed systems or services using .net, C#, Kafka, ELK Stack & Kubernetes Full stack experience with Front end development experience using HTML, VUE.js • Strong hands-on experience in performant and scalable database design in SQL, NOSQL and GRAPH More ❯
such as Spring, Hibernate/JPA Experience working with Object Relational Mapping (ORM) or NoSQL databases, such as MySQL, PostgreSQL, and Elasticsearch Familiarity with message queue implementations, such as Kafka Good understanding of Git, GitLab, CI/CD pipelines, and CM best practices Experience developing ETL/Big Data applications Experience designing RESTful web services Experience with Agile development More ❯
methodology - Working knowledge with Collaboration tools, such as, Jira and Confluence Preferred Qualifications: - Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS/SNS, Kafka, AWS Lambda, NiFi, - Working knowledge with public keys and digital certificates - Experience with automated testing patterns and tools, such as, Mocha/Chai, JUnit, NUnit, TestNG - Experience with DevOps More ❯
methodology Working knowledge with Collaboration tools, such as, Jira and Confluence Desired Qualifications: Working knowledge with software platforms and services, such as, Docker, Kubernetes, JMS/SQS/SNS, Kafka, AWS Lambda, NiFi, Working knowledge with public keys and digital certificates Experience with automated testing patterns and tools, such as, Mocha/Chai, JUnit, NUnit, TestNG Experience with DevOps More ❯
Fort Meade, Florida, United States Hybrid / WFH Options
Global Enterprise Services, LLC
other applicable tools. Design, develop, document, test and deploy software written in Python, JavaScript, Java and SQL. Assist with the deployment, configuration, testing, troubleshooting, maintenance, updates/upgrades of Kafka and Elastic clusters and environments. Work with an Agile team, attend daily scrums and demonstrate working software while collaborating with a geographically distributed (remote) team, communicating and collaborating frequently More ❯
and/or other applicable tools. Design, develop, document, test and deploy software written in Python, JavaScript, Java and SQL. Deploy, configure, test, troubleshoot, maintain, update/upgrade of Kafka and Elastic clusters and environments. Work with an Agile team, attend daily scrums and demonstrate working software while collaborating with a geographically distributed (remote) team, communicating and collaborating frequently More ❯
clearance such as Top Secret, TS/SCI, and/or TS/SCI with CI Polygraph Desired Experience: Experience with distributed data platforms and streaming tools (e.g., NiFi, Kafka) - Hands-on experience with cloud platforms such as AWS or Azure Familiarity with containerization and orchestration (e.g., Docker, Kubernetes) Experience with NoSQL databases and full-text search engines (e.g. More ❯
clearance such as Top Secret, TS/SCI, and/or TS/SCI with CI Polygraph Desired Experience: Experience with distributed data platforms and streaming tools (e.g., NiFi, Kafka) - Hands-on experience with cloud platforms such as AWS or Azure Familiarity with containerization and orchestration (e.g., Docker, Kubernetes) Experience with NoSQL databases and full-text search engines (e.g. More ❯
Woking, Surrey, United Kingdom Hybrid / WFH Options
Arrow McLaren IndyCar
building sophisticated plots/charting (Plotly, Matplotlib) and reporting systems (PowerBI). Experience of failure prediction/MTBF analysis. Experience with Manufacturing Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with Linux and running containers on Kubernetes. Experience with cloud technologies e.g. Microsoft Azure, AWS, or Google Cloud. Personal Attributes: Self-motivated with high More ❯
environment Experience delivering change through Build, Dev and QA to Production, using automation Technical Skills Java Development including Domain Driven Design, Test Driven Development and tech training presentation skills. Kafka, Mongo, Elastic Search and Redis Architecture and Design Skills Distributed Systems and architectural experience of microservices, event driven architectures and serverless. AWS Cloud including step functions, lambda and general More ❯
such as MySQL, that utilize SQL queries. Familiar with using Java for data processing, manipulation or querying (SQL or NoSQL) Familiar with ETL/Data Integration using Spring, NiFi, Kafka, and Elasticsearch. Familiar with development in Commercial Cloud Platforms (ex, AWS, Google Cloud, Azure) Familiar with development leveraging cloud data services (ex: S3, RDS, EFS) Excellent communication skills (written More ❯
on Azure cloud infrastructure with Docker, Kubernetes, automation testing and DevOps (ideally terraform + github actions). Create, monitor and maintain data pipelines and batch processes (databricks, pyspark, lakehouses, kafka). Productionise quant models into software applications, ensuring robust day-to-day operation, monitoring and back testing are in place. Stakeholder engagement: Elicit, validate and translate business requirements from More ❯
to non-technical stakeholders. Team Player: Ability to work effectively in a collaborative team environment, as well as independently. Preferred Qualifications: Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with AWS and its data services (e.g. S3, Athena, AWS Glue). Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Knowledge of containerization and orchestration More ❯
priorities Preferred Qualifications Experience with SpringBoot and the broader Spring ecosystem Knowledge of non-relational databases (e.g., DynamoDB), and caching solutions (Redis, Memcached) Experience with streaming technologies like ApacheKafka or Amazon Kinesis Familiarity with Terraform, Docker, and Kubernetes Proficiency in at least one major cloud platform (AWS, Azure, or GCP) Exposure to performance tuning and testing of distributed More ❯
and maintaining REST APIs. Hands-on experience with cloud platforms (AWS, GCP, or Azure). Familiarity with Kubernetes, Docker, and containerized applications. Proficiency in working with event-driven architectures (Kafka preferred). Solid understanding of CI/CD, GitOps, and agile development practices. Comfortable with various database types: relational, NoSQL, and search engines. Preferred Qualifications BS or MS in More ❯
applications on a cloud service provider, such as Google Cloud, Amazon Web Services, or Microsoft Cloud Preferred qualifications, capabilities and skills Experience with event-driven architectures and tools like Kafka for messaging and streaming Familiarity with orchestration frameworks like Temporal.io or similar workflow engines Knowledge of cloud-native technologies, including Kubernetes and containerization best practices. Experience optimizing database performance More ❯
solving, has excellent attnetion to detail, and can work effectively in a fast-paced,agile environment. • Familiarity with serverless architecture is beneficial. • Experience with messaging systems like RabbitMQ or Kafka is a plus. • Experience implementing two-factor authentication (2FA) for user logins • Experience with performance optimisation for high-traffic scenarios and a large number of concurrent users. More ❯
