
51 - 200 employees
💼 Consulting
🏥 Healthcare
📣 Marketing
Consulting • Healthcare • Marketing
Dreamix is a bespoke software development company specializing in creating tailored software solutions for businesses across various industries. With over 18 years of experience, Dreamix excels in digital transformation, legacy system modernization, and API integrations, providing end-to-end product development services. Their expertise extends to industries such as aviation, fintech, healthcare, and ESG. Dreamix supports its clients with ongoing maintenance and managed services, ensuring robust, scalable, and secure software solutions. With a strong focus on AI & ML development, data science, and DevOps, Dreamix aims to empower organizations with innovative technology to streamline operations and improve efficiency. Their commitment to operational excellence is reflected in their successful collaborations with high-profile clients like Coca-Cola HBC, CERN, and CloudCar, among others.
Selected: 🆕 Date Added.
🕒 October 7
Java Engineer developing secure, scalable Java applications for Dreamix’s enterprise software clients. Building Spring Boot services, APIs, database solutions, and production-ready code.
🕒 September 17
QA Engineer testing Dreamix’s enterprise Java and web software solutions. Designing manual and automated tests, reporting defects, and improving QA coverage.
🇧🇬 Bulgaria – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🔧 QA Engineer (Quality Assurance)
👻 Ghost score 10%
🕒 August 29
Senior Product Owner shaping software products for Dreamix’s global enterprise clients. Managing backlogs, releases, requirements, and delivery across aviation, transportation, fintech, and healthcare.
🕒 August 28
Senior DevOps Engineer maintaining Dreamix’s Azure, Kubernetes, Linux, and CI/CD infrastructure. Automating deployments and improving reliability for enterprise software solutions.
🕒 July 17
Senior Data Engineer at Dreamix, designing production-grade data pipelines for enterprise clients. Collaborate on data engineering solutions using Databricks and modern data architectures.