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.
At Cloudera, our Data Services Pillar is the heart of data innovation. We don’t just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI.
We are looking for a passionate Software Engineer in Test 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 an SDET, you will collaborate with engineers and stakeholders across Hungary, the United States, and other global locations.
As a Senior Software Engineer in Test 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.
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:
BS/MS in Computer Science or a related field, and/or 5+ years of relevant work experience.
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 Apache Flink, Spark and/or Kafka
Experience with Cloud technologies (AWS, Azure, GCP)
Experience with containerization orchestration technologies: Kubernetes, Docker.
Experience with Python and/or Javascript
Why this role matters:
This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You’ll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data.
We believe in the power of open source. You’ll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You’ll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments. Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet.
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
EEO/VEVRAA
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