Business Area:
EngineeringSeniority Level:
Mid-Senior levelJob Description:
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.
The Data Platform Pillar is the bedrock of Cloudera’s technology, where we design and build the core components that let our customers store, manage, and process data with unmatched scalability, security, and performance.
We are looking for passionate Software Engineers to join our Hungary-based team, focusing on the development of Cloudera's Streaming Analytics products, including Apache Flink, SQL Stream Builder, and related stream processing components. Flink is a general-purpose distributed data processing technology known for its low latency, high throughput, massive scalability, and high reliability. SQL Stream Builder offers customers a powerful, SQL-oriented interface for developing and deploying large-scale stream processing jobs on Flink. As a Software Engineer, you will collaborate with engineers and stakeholders across Hungary, the United States, and other global locations.
As a Staff Software Engineer you will:
Develop deep proficiency in Apache Flink and the Cloudera products built on this technology.
Design, implement, test and release new features and enhancements for the Cloudera Streaming Analytics product suite, supporting both on-premise and cloud deployments.
Contribute to a cross-functional software development team, covering all aspects of software product delivery to ensure high-quality, secure, and maintainable software.
Informally manage technical projects, priorities, and resources, and plan work for other team members to ensure effective project delivery.
Collaborate with product management, engineering, support, UX, and documentation teams to deliver projects.
Provide support to our field team and customers, facilitating product adoption, smooth implementation and troubleshooting of use cases.
We’re excited about you if you have:
Bachelor’s degree in Computer Science or equivalent, and 6+ years of experience; OR Master’s degree and 4-6 years of experience; OR PhD and 2-4 years of experience
Experience with Apache Flink, Spark and/or Kafka
Proven experience in building scalable, robust distributed software systems.
Strong Java skills and proficiency across the Java ecosystem.
Strong understanding of software design and architecture principles.
Experience with delivery pipeline tools, CI/CD solutions, and automated testing.
Self-driven and highly motivated, with a strong sense of ownership and craftsmanship.
Strong written and verbal English and communication skills.
You may also have:
Experience with Cloud technologies (AWS, Azure, GCP)
Experience with containerization orchestration technologies: Kubernetes, Docker.
Experience with Python and/or Javascript
This role is not eligible for immigration sponsorship or relocation.
Why this role matters:
You will tackle complex distributed systems challenges, crafting the foundational software for the control and data planes that powers CDP and keeps it running at massive scale. Working at the forefront of hybrid and multi-cloud technology, you will empower data scientists, engineers, and analysts with the tools and infrastructure they need for advanced analytics and modeling.
Collaboration is key, you will work alongside brilliant minds across product, data science, and engineering to drive innovation, standardize best practices, and shape the future of enterprise AI and data platforms. This is your chance to build the future of data and see your work make a global impact.
What you can expect from us:
Generous PTO Policy
Support work life balance with Unplugged Days
Flexible WFH Policy
Mental & Physical Wellness programs
Phone and Internet Reimbursement program
Access to Continued Career Development
Comprehensive Benefits and Competitive Packages
Employee Resource Groups
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