- A minimum of 3 years of practical development experience
- Experience in creating data-oriented products, preferably using Java
- Willingness to work with Python
- Experience with distributed databases like Elasticsearch, MongoDB, or Redis
- Experience in developing microservices-based architecture
- Proficiency in container-based environments, using tools such as Kubernetes and Helm.
- Experience as a software developer in an Agile setting.
- Experience developing using Python
- Proficiency with data processing frameworks such as Spark, Pandas, Hadoop, or Airflow
- Experience with machine learning frameworks like SKLearn or TensorFlow.
- Familiarity with RedHat OpenShift.
- Knowledge of development environments including GIT, Jenkins, and Docker.
Nice to have:
Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.
About the Product:
An AI-driven Big Data transaction monitoring and analytics solution, committed to assisting financial institutions in combating economic crimes, including money laundering and activities that fund terrorism, narcotics trade, and human trafficking, all of which harm the global economy. The technology empowers clients to manage risks, identify money laundering operations, address operational challenges, and discover new growth opportunities.
About the Role:
As a Senior Java Engineer, you will design and implement a scalable data processing and machine learning pipeline using cutting-edge big data technologies within a dynamic agile setting. Explore and deeply understand new technological domains through quick self-directed learning. Exhibit strong analytical and problem-solving skills to support robust and sustainable design solutions. Take full responsibility for product development across all stages, including translating product requirements into actionable designs and tasks, development, unit testing, and production troubleshooting.
,[Designing, developing, and implementing cutting-edge solutions, Play a key role in creating safer financial environments and collaborating with some of the brightest minds in AI, machine learning, and financial technology, Investigate new technological areas and understand them in depth through rapid self-learning] Requirements: Java, Python, Elasticsearch, MongoDB, Redis, Kubernetes, OpenShift, Git, Jenkins, Docker, TensorFlow, Spark, pandas, Hadoop, Airflow Tools: . Additionally: Private healthcare, International projects, Flat structure.
Git scikit-learn kubernetes-helm pandas Python Apache Spark MongoDB Elasticsearch Docker Airflow Kubernetes Java Redis TensorFlow Hadoop Jenkins