familiar with, and able to install, configure and manage various persistence technologies, including database technologies (NoSQL/SQL) and broker/queuing systems (e.g. Kafka, SQS), including knowledge of HA/clustering. You are comfortable with various logging, monitoring and alerting platforms and have expertise in the usage (and More ❯
C#, Go with an emphasis on writing clean, maintainable, and efficient code. API Design & Development : Solid understanding of RESTful APIs, gRPC, and asynchronous messaging (Kafka, RabbitMQ, etc.). CI/CD & DevOps : Strong experience with CI/CD pipelines, automation, and DevOps practices. Familiarity with tools like Jenkins, GitLab More ❯
Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products. As a Senior Lead Software Engineer at JPMorgan Chase within the Asset and Wealth Management Technology team More ❯
creating thread-safe concurrent code in Java or another JVM based language Hands-on experience with event driven architecture and distributed messaging technologies (e.g. Kafka ) Experience with Docker and running Production workloads on Kubernetes Experience using and designing schemas/data structures in SQL and NoSQL databases (e.g. Oracle More ❯
Monitoring and Logging: Experience with monitoring and logging tools like DataDog, Prometheus, or Grafana Data Engineering Skills: Knowledge of event streaming platforms (e.g., ApacheKafka) and SQL database management Strong Communication and Collaboration: Excellent communication skills and the ability to work effectively in a remote, collaborative environment Nice to More ❯
strong technical background leading application development - with experience in some or all of the following technologies: Python, Java, Spring Boot, TensorFlow, PyTorch, Apache Spark, Kafka, Jenkins, Git/Bitbucket, Terraform, Docker, ECS/EKS, IntelliJ, JIRA, Confluence, React/Typescript, Selenium, Redux, Junit, Cucumber/Gherkin. About Datalex Datalex More ❯
with relational and non-relational databases (e.g. Snowflake, BigQuery, PostgreSQL, MySQL, MongoDB). Hands-on experience with big data technologies such as Apache Spark, Kafka, Hive, or Hadoop. Proficient in at least one programming language (e.g. Python, Scala, Java, R). Experience deploying and maintaining cloud infrastructure (e.g. AWS More ❯
Spring Boot, Spring Cloud) Expertise in cloud platforms (Google Cloud preferred, AWS or Azure also relevant) Experience with microservices architecture and event-driven systems ( Kafka, RabbitMQ ) Proficiency in containerisation (Docker, Kubernetes) Familiarity with CI/CD pipelines and infrastructure automation This is an exciting role for a proactive developer More ❯
a production environment. Some experience with relational and non-relational databases. Qualifications/Nice to have Experience with a messaging middleware platform like Solace, Kafka or RabbitMQ. Experience with Snowflake and distributed processing technologies (e.g., Hadoop, Flink, Spark More ❯
London offices. Responsibilities include: Applying extensive expertise in application development areas such as cloud-native development, 12-factor apps, microservices, serverless computing, API management, Kafka, etc. Deep knowledge of microservices, containers, REST API development, API management tools (e.g., MuleSoft, Apigee), Kafka. Broad expertise in digital technologies including application platform More ❯
governance (GDPR, privacy regulations) Build and automate CI/CD pipelines for efficient data operations Work with real-time data processing tools such as Kafka, AWS Kinesis, or Azure Stream Analytics Partner with data analysts, product teams, and engineers to ensure seamless data accessibility Research emerging technologies to improve More ❯
governance (GDPR, privacy regulations) Build and automate CI/CD pipelines for efficient data operations Work with real-time data processing tools such as Kafka, AWS Kinesis, or Azure Stream Analytics Partner with data analysts, product teams, and engineers to ensure seamless data accessibility Research emerging technologies to improve More ❯
scalable solutions. Knowledge of financial industry regulations and standards, particularly around data security and privacy. Familiarity with event-driven architectures or message queues (eg, Kafka , RabbitMQ ) for Real Time data processing. Experience with automated testing frameworks and continuous delivery tools like Jenkins, GitLab CI, or CircleCI. Understanding of performance More ❯
Preferred Qualifications, Capabilities, and Skills Knowledge of distributed systems and microservices architecture. Experience with cloud platforms (AWS, GCP, Azure). Understanding messaging frameworks like Kafka or RabbitMQ. Experience with CI/CD pipelines for deployment, testing, and releases. About the Team J.P. Morgan is a global leader in financial More ❯
understanding of SQL (PostgreSQL or MS SQL Server) and data-driven services. Strong grasp of event-driven designs and messaging (Pub/Sub, RabbitMQ, Kafka, etc.). Comfortable operating in a fast-moving, fully-remote start-up environment with high autonomy. Excellent communication skills and a track record of More ❯
solving skills. Excellent communication interpersonal and presentation skills. Desired Skills: Experience with containerization technologies (e.g. Docker Kubernetes). Experience with data streaming platforms (e.g. Kafka Kinesis). Experience with data visualization and business intelligence tools. Experience with Agile development methodologies. AWS Certifications (e.g. AWS Certified Data Analytics - Specialty AWS More ❯
transformations, and message processors. • Familiarity with cloud platforms (AWS, Azure, or GCP) and on-prem hybrid integrations. • Knowledge of event-driven architecture, messaging systems (Kafka, RabbitMQ, JMS), and ETL processes. • Experience with OAuth, JWT, SAML, and API security best practices. • Strong understanding of CI/CD tools (Jenkins, GitHub More ❯
transformations, and message processors. • Familiarity with cloud platforms (AWS, Azure, or GCP) and on-prem hybrid integrations. • Knowledge of event-driven architecture, messaging systems (Kafka, RabbitMQ, JMS), and ETL processes. • Experience with OAuth, JWT, SAML, and API security best practices. • Strong understanding of CI/CD tools (Jenkins, GitHub More ❯
architecture. Experience in working with a relational database. Experience provisioning infrastructure with Terraform and Cloud Formation. Understanding of messaging systems like MQ, Rabbit MQ, Kafka, or Kinesis. Effective communication and collaboration skills to be able to partner with business stakeholders and other technical teams. AWS and Java Certifications. External More ❯
creating thread-safe concurrent code in Java or another JVM based language Hands-on experience with event driven architecture and distributed messaging technologies (e.g. Kafka ) Experience with Docker and running Production workloads on Kubernetes Experience using and designing schemas/data structures on relational databases (e.g. PostgreSQL , MySQL , Aurora More ❯
containerisation tools (Docker, Kubernetes). Experience with CI/CD tools (e.g., Jenkins, Concourse, GitHub Actions) to integrate performance testing. Familiarity with message queues (Kafka, RabbitMQ). Experience accessibility testing. Benefits We offer an excellent benefits package that includes: a generous 30 days annual leave plus 8 bank holidays More ❯
