BioCatch

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 coexist.Today, 32 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships.. 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. We are looking for a Backend Engineer to join our Data Engineering team and build backend components and data-focused infrastructure for large-scale data processing. You will design and maintain core microservices and data pipelines that power our products and provide reliable data sources to teams across the company. Your work will focus on customer-facing features that depend on complex data assets, with an emphasis on reliability, clear SLAs, observability, and flexibility. What you will do Design and implement infrastructure for high-volume data processing Continuously improve performance, cost, and reliability at scale Collaborate with frontend teams on customer-facing features and applications Work with stakeholders across the company to ensure data processes meet their requirements Maintain high engineering standards: testing, observability, clean code, and solid CI/CD practices What you will do • Design and implement infrastructure for high-volume data processing • Continuously improve performance, cost, and reliability at scale • Collaborate with frontend teams on customer-facing features and applications • Work with stakeholders across the company to ensure data processes meet their requirements • Maintain high engineering standards: testing, observability, clean code, and solid CI/CD practices Requirements • 3–5 years of experience in backend development • Strong hands-on experience with Python • Experience building high-scale, low-latency, robust services deployed across multiple AKS namespaces/regions with different configurations • Experience with at least one major cloud platform (Azure preferred) • Advantages / Nice to Have • Experience with modern data platforms – Snowflake / Delta Lake / Iceberg • Experience with distributed data processing (Databricks, PySpark, or similar) • Experience with leadership — team management, project ownership, or task management • Personal Attributes • Ownership mindset and accountability • Passion for performance, scale, and cost-efficiency • Strong communication skills and effective collaboration with cross-functional teams

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 coexist.Today, 32 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships.. 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. What we're looking for: BioCatch delivers advanced behavioral insights, providing global organizations with actionable intelligence to create a secure and frictionless digital customer journey. We are looking for a talented DevOps Engineer to join our team, learn develop and grow with us. In this role you will work collaboratively with our RnD teams to empower the operations and infrastructure array, which is essential to support our ambitious goals. Build and maintain a scalable cloud infrastructure in Production (Azure, GCP) Troubleshoot and fix Production infrastructure/platform issues Proactively and continuously improve Production stability and robustness to assure our infrastructure components are always up and available Develop end to end projects in order to make our infrastructure better in large-scale including design, implementation, and ongoing maintenance. Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes. Requirements • 5+ years of experience as SRE /DevOps engineer - Must • 5+ years of experience with cloud environments such as Azure, GCP or AWS - Must • Programming Skills: Proficiency in programming languages such as Python etc. - Must • Kubernetes: Proven experience working with Kubernetes in production environments. • Linux distributions familiarity: Ubuntu / CentOS • Networking & Security: Solid understanding of computer networking fundamentals and cloud security principles • CDN and DNS systems – AWS CloudFront / Azure Front door • Deep Understanding of web servers (Nginx preferred) • Experience with logging monitoring services (such as Prometheus, Grafana,Datadog and Coralogix). • Experience working with Infrastructure as Code (IaC) tools (Terraform preferred).

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 coexist.Today, 32 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships.. 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. BioCatch is looking for a Data Scientist to join our team. The ideal candidate is a highly motivated and self-driven individual with strong analytical and problem-solving skills. The Data Scientist will be responsible for analyzing data and developing models to help inform decisions and strategies for new products and business initiatives. Responsibilities: Work closely with stakeholders to understand business requirements and develop predictive models to detect fraud. Develop and implement statistical models, machine learning and deep learning algorithms to solve complex problems in a production environment. Perform exploratory data analysis and data visualization to gain insights and communicate findings. Collaborate with cross-functional teams, including data engineers and software developers, to design and implement end-to-end solutions that can be deployed in production. Implement advanced analytics tools and technologies to enhance reporting capabilities. Requirements • Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field. • Minimum of 5 years of experience as a Data Scientist or in a related field, with experience working in a production environment or PHD with relevant experience • Strong programming skills in Python and proficiency in SQL. • Deep understanding of statistical analysis, machine learning, deep learning and data visualization techniques. • Strong communication and collaboration skills to work effectively in a team environment. • Skills in developing AI agents, such as LLM-based assistants or autonomous workflows - advantage

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 coexist.Today, 32 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships.. 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. Responsibilities • Provide the direction of our data architecture. Determine the right tools for the right jobs. We collaborate on the requirements and then you call the shots on what gets built. • Manage end-to-end execution of high-performance, large-scale data-driven projects, including design, implementation, and ongoing maintenance. • Optimize and monitor the team-related cloud costs. • Design and construct monitoring tools to ensure the efficiency and reliability of data processes. • Implement CI/CD for Data Workflows Requirements • 5+ Years of Experience in data engineering and big data at large scales. - Must • Extensive experience with modern data stack - Must: 1. Snowflake, Delta Lake, Iceberg, BigQuery, Redshift 2.Kafka, RabbitMQ, or similar for real-time data processing. 3.Pyspark, Databricks • Strong software development background with Python/OOP and hands-on experience in building large-scale data pipelines. - Must • Hands-on experience with Docker and Kubernetes. - Must • Expertise in ETL development, data modeling, and data warehousing best practices. • Knowledge of monitoring & observability (Datadog, Prometheus, ELK, etc) • Experience with infrastructure as code, deployment automation, and CI/CD. • Practices using tools such as Helm, ArgoCD, Terraform, GitHub Actions, and Jenkins. Our stack: Azure, GCP, Databricks, Snowflake, Airflow, Spark, Kafka, Kubernetes, Neo4J, AeroSpike, ELK, DataDog, Micro-Services, Python, SQL Your stack: Proven strong back-end software engineering skills, ability to think for yourself and challenge common assumptions, commitment to high-quality execution, and embrace collaboration

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 coexist.Today, 32 of the world's largest 100 banks and 210 total financial institutions rely on BioCatch Connect™ to combat fraud, facilitate digital transformation, and grow customer relationships.. 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. About the Role We’re looking for a highly skilled Web Solutions Engineer—someone who lives and breathes the web, thrives on solving complex puzzles, and enjoys navigating the intricacies of modern browsers, networks, and hybrid environments. In this role, you will become the expert behind BioCatch’s Web SDK integrations for enterprise customers worldwide. You will troubleshoot and resolve technical challenges across browsers, WebViews, and customer environments; enable seamless integrations; and partner with both internal and external engineering teams to ensure high-quality deployments. If you enjoy diving deep into the “why” behind system behavior and have a passion for making complex things simple, this role is for you. What You’ll Do Lead Web SDK integrations for global enterprise customers, primarily in the banking and financial sectors. Investigate and resolve advanced web issues including CORS, cookies, storage, CSP, CDN failures, ad blockers, redirects, caching, and hybrid/WebView behaviors. Support Solution Engineers, R&D, and BioCatch customers, by providing high-level technical expertise, root cause analysis, guidance on complex edge cases, and ensure successful deployments Manage SDK configurations and version upgrades, including bootstrapping, NPM delivery, session continuity, and environment tuning. Create and maintain technical guides, best practices, and internal training to empower SE teams across regions. Ensure integrations are secure, resilient, and optimized across browsers, devices, and customer environments. About You Curious, analytical, and naturally driven to understand how systems behave under the hood. You excel at context switching, thrive in complex environments, and enjoy working at the intersection of engineering, product, and customer success. Requirements • 5+ years of hands-on experience with JavaScript/TypeScript and modern web development (ES6+, DOM APIs, async patterns). • Strong experience with React, Next.js, and production-grade web applications. • Deep understanding of browser fundamentals, including Chrome/Safari/Firefox differences, WebView nuances, event loops, and rendering behavior. • Excellent knowledge of network mechanics - headers, cookies, CORS, CSP, redirects, caching layers. • Proven ability to troubleshoot complex, multi-layered web issues end-to-end. • Strong communication skills, especially in enterprise-facing environments. • Ability to explain complex technical concepts clearly to both technical and non-technical audiences. • High proficiency in English, both written and verbal. • Experience working in a global, cross‑time‑zone environment. • Independent, resourceful, and comfortable owning high-impact technical investigations. Optional but Advantageous • Experience integrating or supporting SDKs, libraries, or SaaS platforms. • Familiarity with mobile WebView behavior (iOS/Android, hybrid apps). • Experience collaborating with cross-functional engineering groups. • Understanding of data collection patterns or instrumentation frameworks. • If you’re excited by deep technical challenges, love decoding browser behavior, and want to impact the world’s largest financial institutions, we’d love to meet you.