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 job

Data Infrastructure team is seeking a talented Data (Infra) Engineer to join us.

In this role, you’ll play a key part in shaping the strategic direction of our data infrastructure, driving high-impact projects across the organization. You’ll lead the development of robust, scalable systems that support massive data flows, optimize cloud resource usage, and implement modern DevOps practices to improve system reliability, performance, and efficiency.

We’re looking for someone who thrives in a fast-paced, collaborative environment and is passionate about building the infrastructure that powers cutting-edge data products.

In This Role, You Will

• Shape Data Architecture: Guide strategic decisions around data infrastructure components, collaborate on requirements, and own system design and implementation.
• Lead Projects: Drive end-to-end delivery of high-scale, data-intensive projects from design through deployment and maintenance.
• Optimize Cloud Costs: Monitor and fine-tune cloud usage to ensure cost-effective performance across environments.
• Enhance Reliability: Build tools and processes to ensure data systems are efficient, reliable, and highly available.
• Integrate DevOps Practices: Automate and streamline workflows with CI/CD, container orchestration, and Infrastructure as Code for scalable, reliable deployments.
• Work with a Modern Stack: Azure, GCP, Kubernetes, ArgoCD, Jenkins, Databricks, Snowflake, Aerospike, Neo4J, Airflow, RDBMS, Spark-operator, Kafka, Microservices, Bash, Python, SQL.

Requirements

• 5+ Years of Experience: Solid background as a Data Engineer or Data Infrastructure Engineer.
• Data Infrastructure Expertise: Proficient in working with tools like Snowflake, PostgreSQL, Kafka, Aerospike, Spark, and object storage systems.
• Cloud Experience: Hands-on experience with cloud platforms like Azure, GCP, or AWS, and know-how to navigate cloud-native architectures.
• Coding & Scripting: Skilled in Python (or similar languages) and comfortable using Bash/Shell for automation tasks.
• DevOps Skills (Nice to Have): Experience with Docker, Kubernetes, Terraform, ArgoCD, and Linux. Knowledge of networking and load balancing is a bonus.