Sardine is a cutting-edge platform focused on fraud prevention and compliance. The company offers a behavior-based system for fraud detection, identity verification, and transaction monitoring that helps leading banks, online retailers, and fintechs protect themselves from scams and financial crime. Sardine's technology integrates advanced behavioral biometrics and device intelligence to combat identity fraud, payment fraud, and account takeovers. The platform also streamlines compliance checks such as KYC (Know Your Customer) and AML (Anti-Money Laundering) transaction monitoring. Sardine's comprehensive solution empowers its clients to automate risk decisioning, identify high-risk users early, and manage fraud across the customer journey effectively.
January 9
Airflow
Apache
AWS
Azure
BigQuery
Cloud
Distributed Systems
Docker
DynamoDB
ElasticSearch
ETL
Google Cloud Platform
Java
Kubernetes
NoSQL
Python
Spark
SQL
Go
Sardine is a cutting-edge platform focused on fraud prevention and compliance. The company offers a behavior-based system for fraud detection, identity verification, and transaction monitoring that helps leading banks, online retailers, and fintechs protect themselves from scams and financial crime. Sardine's technology integrates advanced behavioral biometrics and device intelligence to combat identity fraud, payment fraud, and account takeovers. The platform also streamlines compliance checks such as KYC (Know Your Customer) and AML (Anti-Money Laundering) transaction monitoring. Sardine's comprehensive solution empowers its clients to automate risk decisioning, identify high-risk users early, and manage fraud across the customer journey effectively.
• We are seeking a Senior Data Platform Engineer to design and build scalable, data-intensive applications. • This role requires expertise in ingesting and transforming large datasets, creating APIs for efficient data retrieval, and developing data products. • The ideal candidate bridges the gap between traditional data engineering and backend development, building ETL pipelines, APIs, and data-driven solutions. • Architect and manage scalable storage solutions (e.g., Bigtable, BigQuery, ElasticSearch, or other NoSQL/SQL systems). • Collaborate with teams to turn raw data into actionable products, driving insights and business value.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. • 5+ years of experience in backend or data engineering roles. • Proven experience building APIs for data access and processing large-scale datasets. • Familiarity with credit or financial data and related compliance considerations. • Expertise in a modern programming language such as Go, Python, or Java. • Strong knowledge of database systems (SQL and NoSQL), with a focus on scalable solutions like Bigtable, BigQuery, or DynamoDB. • Deep understanding of API design principles and best practices for performance and scalability. • Familiarity with cloud platforms (AWS, GCP, or Azure) and associated data services. • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines. • Strong analytical and problem-solving skills. • Excellent communication skills to convey complex technical concepts. • Ability to work collaboratively in a fast-paced environment.
• Generous compensation in cash and equity • Early exercise for all options, including pre-vested • Work from anywhere: Remote-first Culture • Flexible paid time off, Year-end break, Self care days off • Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific • 4% matching in 401k / RRSP - US and Canada specific • MacBook Pro delivered to your door • One-time stipend to set up a home office — desk, chair, screen, etc. • Monthly meal stipend • Monthly social meet-up stipend • Annual health and wellness stipend • Annual Learning stipend • Unlimited access to an expert financial advisory
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