The Software Engineer role leads and participates in solving business problems by building robust, high-performance large-scale enterprise applications. You will leverage your deep technical knowledge to design and code scalable and easily maintainable solutions as well as mentor More ❯
with Kafka (setup, maintenance, stream processing) Proficiency with containerisation tools such as Docker and Kubernetes Strong working knowledge of RDBMS (SQL Server, Oracle, DB2) and/or NoSQL (e.g., MongoDB) Experience in building CI/CD pipelines and DevOps tooling Solid background in the payments, fintech, or financial services sectors preferred Familiarity with Agile methodologies and ability to lead scrum More ❯
SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform, CloudFormation) Expertise in building real-time streaming architectures Experience building production AI systems handling sensitive data More ❯
SageMaker/Bedrock) Deep understanding of distributed systems and microservices architecture Expert in data pipeline platforms (Apache Kafka, Airflow, Spark) Proficient in both SQL (PostgreSQL, MySQL) and NoSQL (Elasticsearch, MongoDB) databases Strong containerization and orchestration skills (Docker, Kubernetes) Experience with infrastructure as code (Terraform, CloudFormation) Expertise in building real-time streaming architectures Experience building production AI systems handling sensitive data More ❯
Java (Java 8 or above) Strong understanding of microservices architecture and platform engineering Proficiency in Spring, Micronaut, or equivalent Java frameworks Experience with Relational and NoSQL databases (e.g., PostgreSQL, MongoDB) Familiarity with unit testing frameworks (e.g., JUnit, Spock) Experience working with build tools such as Gradle or Maven Comfortable using Docker in development environments Proven ability to write clean, maintainable More ❯
Java (Java 8 or above) Strong understanding of microservices architecture and platform engineering Proficiency in Spring, Micronaut, or equivalent Java frameworks Experience with Relational and NoSQL databases (e.g., PostgreSQL, MongoDB) Familiarity with unit testing frameworks (e.g., JUnit, Spock) Experience working with build tools such as Gradle or Maven Comfortable using Docker in development environments Proven ability to write clean, maintainable More ❯
Java (Java 8 or above) Strong understanding of microservices architecture and platform engineering Proficiency in Spring, Micronaut , or equivalent Java frameworks Experience with Relational and NoSQL databases (e.g., PostgreSQL, MongoDB) Familiarity with unit testing frameworks (e.g., JUnit, Spock) Experience working with build tools such as Gradle or Maven Comfortable using Docker in development environments Proven ability to write clean, maintainable More ❯
Preferred Qualifications Experience of working in investment bank or financial services industry Experience of using cloud services such as AWS and distributed systems such as Kafka, Kubernetes, S3, DynamoDB, MongoDB or any other NoSQL database Job Family Group: Technology Job Family: Applications Development Time Type: Full time Citi is an equal opportunity and affirmative action employer. Qualified applicants will receive More ❯
through to delivery Strong sense of writing quality maintainable code Commercial experience in Java (8+) Use of Micronaut/Spring (or equivalent) Frameworks Developing against Relational and NoSQL Database (MongoDB, Postgres etc) Experience with unit testing methodologies and frameworks – e.g Spock, Junit Build systems – Gradle/Maven Use of Docker Other desirables are: Developing using reactive/functional patterns, (RXJava More ❯
a related field. Proficiency in programming languages such as Python, Scala or Java. SQL knowledge for database querying and management. Strong knowledge of relational and NoSQL databases (e.g., PostgreSQL, MongoDB) and data modeling principles. Proven ability to design, build, and maintain scalable data pipelines and workflows using tools like Apache Airflow or similar. Strong problem-solving and analytical skills. Excellent More ❯
messaging systems like Kafka and Solace. Proficiency in Spring framework and cloud technologies (Docker/Kubernetes/OpenShift). Familiarity with Jira, Bitbucket, and Gradle. Experience with document databases (MongoDB). Experience developing multi-threaded, distributed systems. Experience with testing frameworks like JUnit and Cucumber. Solid understanding of the FIX protocol. Beneficial Skills and Experience Experience with Chronicle framework or More ❯
not essential. Nice to have but not essential: Service monitoring and graphing tools (Prometheus + Grafana, Nagios, Datadog) Elastic Stack Repository solutions (JFrog Artifactory, JFrog Bintray) OpenVPN SQL Databases (MongoDB, PostgreSQL, MySQL) Our Values: We work together We believe in people We won't accept the "way it has always been done" We listen to learn We're trying to More ❯
Zustand, Context API) Experience with Node.js and back-end technologies (e.g., Express, NestJS) Familiarity with serverless platforms (e.g., AWS Lambda, Google Cloud Functions) Experience with database technologies (e.g., PostgreSQL, MongoDB) Exposure to CI/CD pipelines. Native module integration with Expo for example Experience with Golang What We Offer: Competitive compensation Opportunity for equity ownership Private health insurance option Employee More ❯
Belfast, Northern Ireland, United Kingdom Hybrid / WFH Options
Noir
.NET Developer, .NET 9 - Social Networking Site – Belfast (Tech stack: .NET Developer, .NET 9, C#, Web API 2, Entity Framework, Microservices, Azure, Programmer, Full Stack Engineer, Architect, .NET Developer) Our client is the world’s largest social-networking web site More ❯
Python and associated Data Science tooling. Experience in technical communication with both business stakeholders and technical peers. Experience working with big data concepts, strategies, methodologies, and tools such as MongoDB, Snowflake, Spark, or Hadoop. Knowledge and experience of deploying enterprise scale data science products. Experience in coaching and mentoring team members. Experience and skills we'd love: Computer Vision Expertise More ❯