Sardine Tech Stack

Real-time fraud and AML detection platform for fintech

Financial Services San Francisco 201–500 employees Founded 2020 Privately Held

Sardine operates a real-time fraud and AML platform built on a polyglot stack (Go, Python, Spark, Kafka, Flink) designed for ultra-low-latency decision-making. The tech shape reveals an engineering organization optimized for streaming data pipelines and high-throughput processing—confirmed by active projects around real-time feature computation and rules engines, and by hiring that skews 18 senior engineers to 4 mid-level, suggesting they're scaling depth rather than breadth. Pain points around massive real-time data processing and fraud model deployment indicate they're moving past detection-only toward continuous ML retraining across customer use cases.

Tech Stack 52 technologies

Core StackGo Python Apache Spark Tableau Metabase Datadog Slack Asana Rippling Kafka Apache Flink AWS Kubernetes TypeScript React Node.js Ruby PostgreSQL BigQuery GCP JAMF 1Password Chrome macOS AWS SQS Google Cloud Pub/Sub Ramp Bigtable Google Cloud Dataflow Apache Beam+22 more

What Sardine Is Building

◆Challenges

Evolving fraud threats
Reducing fraud losses
Improving risk strategy performance
Maintaining secure remote it infrastructure
Ultra-low-latency backend services
Massive real-time data processing
Scaling professional services function
Managing contractor network
Financial analysis speed
Standardizing modeling workflows

▲Active Projects

Api and sdk documentation
Real-time feature computation pipelines
High-throughput rules engine
Ultra-low-latency backend services
Build sardineai integration partner program
Proof of concept data science projects for enterprise customers
Customer success team building
Deploying fraud detection models across fintech use cases
Standardizing modeling workflows
Streamlining backend systems

Hiring Activity

Accelerating35 roles · 20 in 30d

Department

Engineering

Data

Sales

Support

Finance

Ops

Security

Seniority

Senior

Lead

Mid

Staff

Manager

Notable leadership hires: Chief Information Security Officer

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About Sardine

Sardine provides an integrated fraud detection and anti-money laundering platform for fintech, payments, and financial services companies. The product combines real-time transaction monitoring, device fingerprinting, behavior biometrics, and case management to help risk and compliance teams operate at speed. Operating from San Francisco with 201–500 employees, Sardine is scaling engineering and data teams while building out customer success and a partner integration program. Active development focuses on backend performance, model deployment workflows, and enterprise proof-of-concept data science engagements.

HeadquartersSan Francisco

Company Size201–500 employees

Founded2020

Hiring MarketsUnited States, Brazil, Bulgaria, Germany, Canada, India, Australia, Ireland

Frequently Asked Questions

What tech stack does Sardine use?

Sardine's stack spans Go, Python, Apache Spark, Kafka, Apache Flink for real-time processing; GCP and AWS for compute; BigQuery, Bigtable, PostgreSQL for storage; and Datadog, Tableau, Metabase for observability and analytics.

What is Sardine currently building?

Active projects include real-time feature computation pipelines, high-throughput rules engines, ultra-low-latency backend services, fraud detection model deployment, and a partner integration program. Data science and customer success are scaling to support enterprise PoC work.

How this profile is built

Sardine's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →

This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.