Senior Software Developer at Thetaray

Hod HaSharon, Center District, Israel -

Full Time

Start Date

Immediate

Expiry Date

04 Jul, 26

Salary

0.0

Posted On

05 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, PySpark, Apache Spark, Distributed Systems, Data Pipelines, ETL, Machine Learning, NumPy, Scikit-learn, TensorFlow, PyTorch, Software Engineering, Algorithm Engineering, Data Engineering, Performance Tuning, Debugging

Industry

Software Development

Description

ThetaRay provides AI-driven anti-financial crime technology used by global banks and fintechs to detect money laundering and financial crimes. Our Israel office is a key R&D hub where engineering, data, and research teams work together to build scalable, production-ready systems that power ThetaRay’s platform. We are looking for a Senior Software Developer to join our team in Israel and help build the next generation of AI-driven financial crime detection. In this role, you will work at the intersection of software engineering, algorithms, and large-scale data processing, building scalable production systems that power mission-critical financial crime detection solutions. You will design efficient architectures, develop high-quality code, and turn data-driven and machine learning models into robust real-world applications. Technology: Python, PySpark, Apache Spark, NumPy, scikit-learn, TensorFlow / PyTorch, ETL pipelines, distributed systems, large-scale data processing What you’ll work on: Designing and developing scalable data processing pipelines and backend systems Writing efficient, high-quality, and maintainable code in Python and PySpark Optimizing large-scale data workflows and distributed computing processes Implementing and integrating machine learning solutions into production systems Translating analytical and algorithmic models into scalable applications Improving the performance, reliability, and scalability of data and ML pipelines Collaborating with data scientists, analysts, engineers, and R&D teams to bring solutions into production Conducting code reviews and promoting software engineering best practices Requirements 3+ years of experience in software development, algorithm engineering, or data engineering Expert-level Python programming skills Strong experience with PySpark / Apache Spark Experience working with large-scale distributed data processing Ability to write high-performance, optimized, and production-grade code Solid understanding of machine learning algorithms and concepts Experience implementing ML models in production environments Familiarity with supervised and unsupervised learning, feature engineering, and model evaluation and validation Experience with libraries such as NumPy, scikit-learn, TensorFlow, or PyTorch Strong understanding of data pipelines, ETL processes, and distributed systems Experience working with large and complex datasets Strong debugging, optimization, and performance tuning skills Strong analytical and problem-solving skills High attention to detail, code quality, and maintainability Strong communication and collaboration skills, with the ability to work independently and take ownership of technical solutions Advantages Familiarity with cloud environments or big data platforms

Responsibilities

You will design and develop scalable data processing pipelines and backend systems to power mission-critical financial crime detection. Additionally, you will integrate machine learning models into production environments and collaborate with cross-functional teams to optimize system performance.