Backend Big Data Team Leader

Israel, Hod HaSharon
DESCRIPTION

ThetaRay is the leading provider of AI-based Big Data analytics.

We are dedicated to helping financial organizations combat financial crimes through money laundering and facilitating malicious crimes such as terrorist financing, narco-trafficking, and human trafficking which negatively impact the global economy.

Our Unsupervised and Semi-Supervised Intuitive AI solutions enable clients to manage risk, detect money laundering schemes, uncover operational issues, and reveal valuable new growth opportunities.

About the Role:

In this leadership role, you will play a critical part in designing, developing, and implementing our cutting-edge solutions.

You will lead a talented team of developers, fostering a collaborative and innovative environment that drives impactful results.

Responsibilities:

Lead the team in the design and development using the latest big data technologies in an agile environment.
Take a significant hands-on role in the development effort
Provide strong technical leadership through problem-solving and guiding the team toward sustainable and scalable design solutions.
Oversee all stages of the product development lifecycle, from translating requirements into actionable plans to development, unit testing, and production troubleshooting.
Set project goals and timelines, ensuring efficient and successful project delivery.
Collaborate effectively with cross-functional teams to ensure alignment and achieve common objectives.

REQUIREMENTS
Minimum 5 years of hands-on experience in software development, with a focus on data-oriented products using Python/Java.
Minimum 2 years of experience leading a team of developers, on-site and abroad.
Strong leadership and communication skills, ability to build relationships with internal and external stakeholders.
Strong analytical problem-solving skills and the ability to translate complex technical concepts into clear instructions for your team.
In-depth knowledge of data processing frameworks like Spark, Pandas, Hadoop, and Airflow.
Experience with Distributed Databases (Elasticsearch, Mongo, Redis, etc.).
Experience with developing microservices-based architecture.
Experience working in container-based environments with tools like Kubernetes and Helm.
Experienced with cloud environments.
Agile development methodology expertise.
Experienced with high availability and real-time development.

Nice to Have:

Experience with machine learning frameworks like Scikit-learn and TensorFlow.

Experience with RedHat OpenShift.

Proficiency with development environment tools (GIT, Jenkins, Docker).