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stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, Redis, and many others. The front end is a React.js presentation that drives web UIs for historical analytics, real-time status information, and data replays ...

experience w/Stored Procedures, Functions and PLSQL or Transactions Linq JavaScript, JQuery , HTML Nice To Have Git Repository/GitLab ASP.NET Core (Web) Postgres Internet Information Services (IIS) CSS/Bootstrap Telerik/other UI Framework IIS Docker CI/CD AWS The Software Engineer is responsible ...

delivering service migrations and platform go-lives into production Nice to haves: Helm chart authoring and advanced Argo CD usage Event-driven microservices (Kafka) PostgreSQL in cloud environments Advanced CI/CD pipeline design Experience with Internal Developer Platforms (e.g. Backstage) Multi-cloud exposure and/or Python development ...

team members to support and develop their skills Our stack: Backend: NestJS/NodeJS/Typescript Frontend: Vue 3/Typescript Cloud: AWS DB: PostgreSQL/MongoDB Utilities: Rush (monorepo)/Github Tasks & Knowledge-base: Notion/Linear Communication: Slack/Zoom/Around We are looking for someone ...

Python Deep experience working with AWS , including services such as Lambda, S3, and cloud‐native architectures Experience integrating with data stores such as PostgreSQL, Redis , or similar Strong understanding of data pipelines, data modelling, and distributed systems Proven experience leading technical designs and mentoring engineers Comfortable working in client‐facing ...