About the job
Business Area:
Engineering
Seniority Level:
Associate
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 worlds largest enterprises.
We are looking for passionate software engineers for our Streaming Platform Engineering Team in Hungary. Our team is responsible for the development of Streams Messaging products of Cloudera (featuring Kafka, Schema Registry, 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 software engineer, you will be collaborating with other engineers and stakeholders in Hungary, the United States and other countries around the globe.
As a Software Engineer you will
- 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, management capabilities of our platform as well as integrate with other components (like Flink, Spark, NiFi, etc.) to make Kafka robust and easy to adopt
- Develop our big data and large scale streaming data processing platforms targeting on-premise, cloud and hybrid customer environments.
- Analyze complex requirements, collaborate with other engineers 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 troubleshooting customer issues, find the root cause of complex technical problems and provide guidance to system engineers for fixing those in production systems
- Help customers adopting new versions of our software
- 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
- 2+ years of experience in designing, developing and testing software solutions
- Expertise with Java development
- Experience with cloud platforms (AWS, Azure, GCE)
- Analytical mindset to be able to understand large, distributed software systems
- Experience with delivery pipeline tools, CI/CD solutions, automated testing
- Self-driven, proactive and motivated personality, with the ability to effectively work on loosely defined tasks
- Ability to clearly communicate and present your ideas effectively to a wide audience
- Ability to work independently as well as working collaboratively in a team
- Excellent verbal and written communication skills in English
- Experience with Kafka or other distributed messaging technology (e.g. RabbitMQ)
- Experience in designing, implementing and debugging multithreaded and distributed systems
- Experience with private cloud technologies and container platforms (Docker, Kubernetes)
- Development experience with Scala and/or Python
- Good understanding of the Hadoop ecosystem
- Experience in open source software development
- 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
- Paid Volunteer Time
- Employee Resource Groups
