DevOps (Data Platform Group)

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 that includes American Express, Barclays, Citi Ventures, and National Australia Bank, helps BioCatch identify creative and cutting-edge ways to leverage the unique attributes of behavior for fraud prevention. With over a decade of data analysis, 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.

Main responsibilities:

• Data Architecture Direction: Provide strategic direction for our data architecture, selecting the appropriate components for various tasks. Collaborate on requirements and make final decisions on system design and implementation.
• Project Management: Manage end-to-end execution of high-performance, large-scale, data-driven projects, including design, implementation, and ongoing maintenance.
• Cost Optimization: Monitor and optimize cloud costs associated with data infrastructure and processes.
• Efficiency and Reliability: Design and build monitoring tools to ensure data processes and systems' efficiency, reliability, and performance.
• DevOps Integration: Implement and manage DevOps practices to streamline development and operations, focusing on infrastructure automation, continuous integration/continuous deployment (CI/CD) pipelines, containerization, orchestration, and infrastructure as code. Ensure scalable, reliable, and efficient deployment processes.

Our stack: Azure, GCP, Kubernetes, ArgoCD, Jenkins, Databricks, Snowflake, Airflow, RDBMS, Spark, Kafka, Micro-Services, bash, Python, SQL.

Requirement

Mandatory Qualification

• 3+ Years of Experience: Demonstrated experience as a DevOps professional, with a strong focus on big data environments, or Data Engineer with strong DevOps skills
• Data Components Management: Experience managing and designing data infrastructure such as Snowflake, PostgreSQL, Kafka, Aerospike, and Object Stores
• DevOps Expertise: Proven experience in creating, establishing, and managing big data tools, including automation tasks. Extensive knowledge of DevOps concepts and tools, including Docker, Kubernetes, Terraform, ArgoCD, Linux OS, Networking, Load Balancing, Nginx, etc.
• Programming Skills: Proficiency in programming languages such as Python and Object-Oriented Programming (OOP) with an emphasis on big data processing (like PySpark). Experience with scripting languages like Bash and Shell for automation tasks
• Cloud Platforms: Hands-on experience with major cloud providers such as Azure, Google Cloud, or AWS

Preferred Qualifications

• Performance Optimization: Experience in optimizing performance for big data tools and pipelines - Big Advantage.
• Security Expertise: Experience in identifying and addressing security vulnerabilities within the data platform - Big Advantage.
• CI/CD Pipelines: Experience in designing, implementing, and maintaining Continuous Integration/Continuous Deployment (CI/CD) pipelines – Advantage.
• Data Pipelines: Experience in building big data pipelines - Advantage.