Senior Software Engineer

Summary

Join Sardine, a leader in fraud prevention and AML compliance, as a Senior Software Engineer, Data Platform. Design and build scalable, data-intensive applications, ingesting and transforming large datasets, creating APIs for efficient data retrieval, and developing data products. You will be a key player in shaping our data platform and contributing to backend engineering initiatives. This role requires expertise in ETL pipelines, APIs, and data-driven solutions. We offer a remote-first work culture and a competitive compensation package. The ideal candidate has 5+ years of experience in building scalable backend systems and processing large-scale datasets.

Requirements

• 5+ years of experience building scalable backend systems, designing high-performance APIs, and processing large-scale datasets
• Expertise in Go, Python, or Java, with a strong foundation in SQL and NoSQL databases (Bigtable, BigQuery, DynamoDB) for scalable storage solutions
• Hands-on experience with AWS or GCP, containerization (Docker, Kubernetes), and CI/CD pipelines to support efficient deployments
• Strong analytical skills, ability to work in a fast-paced, team-driven environment, and communicate complex technical concepts effectively
• Familiarity with credit or financial data and the regulatory considerations involved in handling sensitive information

Responsibilities

• Design and implement ETL pipelines capable of processing terabytes of credit data efficiently
• Develop and optimize APIs to support fast and reliable data retrieval, including both exact and partial matches
• 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
• Perform analysis on data to figure out the best use of data to provide value to clients
• Work closely with both internal and external stakeholders, including data science, product, and operation
• Document processes, architectures, and APIs
• Mentor junior engineers and foster a culture of technical excellence

Preferred Qualifications

• Proficiency with data processing tools (e.g., Apache Beam, Spark, Flink as well as orchestrators like Airflow)
• Knowledge of data product lifecycle management
• Experience with schema design and managing data integrity in distributed systems
• Familiarity with modern monitoring and observability tools

Benefits

• 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