Senior Software Engineer - Apache Flink

Cloudera
2 LocationsPosted 31 March 2026

Job Description

Business Area: Engineering Seniority Level: Mid-Senior level Job 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 searching for a passionate Software Engineer to join our development team, where you'll play a crucial role in shaping Cloudera's successful Streams Messaging and Streaming Analytics products. This includes working with industry-leading technologies like Apache Flink and related components. Your work will empower customers with an easy-to-use, secure and scalable platform to ingest, process and analyze massive message streams in their data driven applications from Edge to AI. As a Senior Software Engineer, you will take part in our product development journey, collaborating with talented engineers and stakeholders across Hungary, the United States, and other global locations. Join us and make a real impact on the future of data streaming! As a Senior Software Engineer you will: Develop deep proficiency in Apache Flink and the Cloudera products built on these technologies. Design, implement, test and release new features and enhancements for our cloud-native Cloudera Streaming platform products with hybrid cloud deployment capabilities. 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 engineers, product managers, support experts, 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 understanding of software design and architecture principles. Strong Java skills and proficiency across the Java ecosystem. Experience with containerization orchestration technologies: Kubernetes, Docker. Self-driven and highly motivated, with a strong sense of ownership and craftsmanship. Strong written and verbal English and communication skills. Experience with Apache Flink You may also have: Experience with Cloud technologies (AWS, Azure, GCP) Experience with Scala, Python and/or Javascript Experience with delivery pipeline tools, CI/CD solutions, and automated testing. 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 b ... (truncated, view full listing at source)
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