BioCatch is the leader in Behavioral Biometrics, a technology that leverages machine learning to analyze an online user’s physical and cognitive digital behavior to protect individuals online. BioCatch’s mission is to unlock the power of behavior and deliver actionable insights to create a digital world where identity, trust and ease seamlessly co-exist. Today, BioCatch counts over 25 of the top 100 global banks as customers who use BioCatch solutions to fight fraud, drive digital transformation, and accelerate business growth. BioCatch’s Client Innovation Board, an industry-led initiative including American Express, Barclays, Citi Ventures, and National Australia Bank, helps BioCatch to identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of analyzing data, more than 80 registered patents, and unparalleled experience, BioCatch continues to innovate to solve tomorrow’s problems. For more information, please visit www.biocatch.com.

Are you an experienced backend developer with a passion for cutting-edge technology? Do you have an interest or background in machine learning, data science, or working with models? BioCatch is looking for a backend developer to join a newly formed team and help build core services from the ground up.

As a backend developer at BioCatch, you will work with a team of highly curious and innovative professionals. You will be responsible for developing core services and APIs that handle high volumes of real-time traffic and meet strict SLA response times. Your role will involve complex data processing, aggregation, and research of big data.

While experience in ML/DS is not a requirement, familiarity with ML-based architectures, model deployment, or data-driven decision-making will be considered a strong advantage

• Degree in Mathematics, Computer Science, Electrical Engineering, or equivalent military experience in a technology unit.
• At least 5 years of experience developing software for large-scale systems.
• At least 3 years of experience with Python.
• Experience in cloud architecture and microservices.
• Background in ML/DS, experience working with models or data processing – Advantage.
• Experience working in CI/CD and Dockerized environments – Advantage.

Soft Skills

• Responsible, well-organized, and self-learning.
• A strong team player.
• Capable of managing large-scale tasks.
• Fast learner, adaptable, and persistent.
• Comfortable handling a variety of unfamiliar challenges.