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Budapest, Magyarország
Hybrid
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 Senior Software Engineers for our Streams Messaging Engineering Team in Hungary. Our team is responsible for the development of Streams Messaging products of Cloudera (featuring Kafka, Schema Registry, Streams Replication Manager and several other components related to streaming) and making it easily usable by the customers of our platform. Kafka is a general purpose distributed messaging/streaming technology designed for low latency, high throughput, massive scalability and high reliability. Kafka is the fundamental streaming technology in our platform, frequently used together with Apache Flink, Spark and NiFi to ingest, process and analyze large scale message streams.
As a Senior Software Engineer, you will collaborate with other engineers and stakeholders in Hungary, the United States and other countries around the globe.
Expertize in the Kafka ecosystem, identify improvement areas and define a roadmap to make Kafka more feature-rich, more robust and more supportable resulting in an enterprise grade distribution of Kafka for our customers
Extend monitoring and management capabilities of our platform to make Kafka easy to adopt and operate
Modify and update software application after delivery to correct errors and to improve performance
Develop and maintain automated test framework, tools, and processes
Integrate with other components of our component stack (like Flink, NiFi, etc.)
Develop our big data and large scale streaming data processing platforms targeting on-premise, private/public cloud and hybrid customer environments.
Analyze complex requirements, collaborate with other engineers and other stakeholders internally and in the open source community from around the world to design and implement solutions
Focusing on both functional and non-functional aspects and deliver high-quality products using agile software development lifecycle practices
Help customers adopting new versions of our software
Help troubleshooting customer issues, find the root cause of complex technical problems and provide guidance to system engineers for fixing those in production systems
Help releasing our software for Public Cloud and Private Cloud platforms
Learn continuously to build an extensive knowledge about the Kafka ecosystem, large scale stream processing technologies and become the go-to person in a wide range of questions related to the technology
Demonstrate an open, agile mindset, suggest and implement ideas to continuously improve processes used by the team in a collaborative manner
Relevant studies / BS or MS in Computer Science or related field.
Experience with Kafka or other distributed messaging technology
4+ years of experience in designing, developing and testing software solutions
Strong Java skills and proficiency across the Java ecosystem
Hands-on experience with Python for data processing, automation or backend development
Experience in the Linux environment
Experience with delivery pipeline tools, CI/CD solutions, automated testing
Analytical mindset to be able to understand complex software systems
Self-driven, proactive and motivated personality, with the ability to effectively work even on loosely defined tasks independently and in a team
Open, agile attitude, focusing on continuous improvement
Excellent verbal and written communication skills in English
Experience with cloud platforms (AWS, Azure, GCE)
Experience with private cloud technologies and containerization orchestration technologies: Kubernetes, Docker, Helm
Big data experience
Experience in designing, implementing and debugging multithreaded and distributed systems
Experience in open source software development
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.
This role is not eligible for immigration sponsorship.
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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