Middle Java Developer
Ciklum
Gdansk, Wroclaw or Remote, Poland
About the role
As a Middle Java Developer, become a part of a cross-functional development team engineering experiences of tomorrow.
The client is a trailblazer in AI-powered Anti-Money Laundering (AML) solutions, offering cutting-edge technology to fintechs, banks, and regulatory bodies worldwide. Our mission is to enhance trust in financial transactions, ensuring compliant and innovative business growth. Our technology empowers customers to expand into new markets and introduce groundbreaking products.
You'll be part of a dynamic global team committed to redefining the financial services sector through technological innovation. You will contribute to creating safer financial environments and have the opportunity to work with some of the brightest minds in AI, ML, and financial technology. We offer a collaborative, inclusive, and forward-thinking work environment where your ideas and contributions are valued and encouraged.
Responsibilities
- Design and develop a scalable data processing and ML pipeline using the latest big data technologies in a fast paced agile environment
- Investigate new technological areas and understand them in depth through rapid self-learning
- Demonstrates strong analytical problem-solving skills to support scalable and sustainable design solutions
- Ability to take ownership of product development including all life cycle stages: translating product requirements into actionable designs and tasks, development, UT, and production troubleshooting
Requirements
- At least 3 years of hands-on development experience
- Experience developing data-oriented products preferably using Java- must, python – an advantage
- Experience in data processing FW – Spark
- Experience in Distributed Databases (Such as Elasticsearch, Mongo, Redis, etc)
- Experience with developing microservices-based architecture
- Experience working in container-based environments using tools such as K8s, helm
- Experience working as a software developer in an Agile environment
Desirable
- Experience in data processing FW such as Pandas, Hadoop, Airflow
- Experience in machine learning FWs such as SKLearn, Tensorflow
- Experience with RedHat OpenShift
- Dev Environment knowledge: GIT, Jenkins, Docker
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