Jobs at Sardine

Design, implement, and maintain high-performance backend services in Go deployed on GCP and AWS. Build banking/payment APIs and compliance-focused fraud detection products. Collaborate cross-functional teams, own full product lifecycle, produce technical documentation, and implement end-to-end test automation using Cypress, JUnit, or Mockito to ensure reliability and quality.

Manage customer accounts, optimize product use, provide strategic guidance, and ensure compliance with risk and fraud solutions. Collaborate with internal teams for client needs.

The Integration Engineer will lead client onboarding for fraud and compliance products, manage integrations, analyze requirements, and support clients throughout the process.

As a backend Software Engineer, you'll design and maintain APIs and services, develop features, and enhance internal tooling in a remote-first company.

Embed with clients to gather requirements and design AI-driven solutions for fraud and fincrime. Architect, train, evaluate, and deploy custom AI agents and workflows, optimize model performance, establish risk metrics and evaluation pipelines, and collaborate with engineering/product teams to scale into production.

Manage customer accounts, maximizing ROI on Sardine products, while collaborating with teams to meet customer needs in fraud and compliance.

The Senior Account Executive will develop sales strategies, cultivate relationships with clients, and manage the sales process to close deals with banks and fintechs.

Lead federal sales engineering efforts: deliver tailored demos, respond to federal RFPs/RFIs, navigate agency security reviews and ATO processes, produce solution designs aligned to federal frameworks (FedRAMP, NIST), and advise product/GT M strategy for federal use cases in fraud, identity, and AML.

Provide commercial legal support across Sales, Product, Partnerships, Procurement, and Engineering: draft and negotiate NDAs, SaaS and vendor agreements, advise on product and privacy/regulatory risks (GDPR, CCPA/CPRA, GLBA), improve contract lifecycle management, and respond to day-to-day legal inquiries and ad hoc projects.

The Staff Software Engineer will design, build, and maintain compliance systems for fraud prevention, managing KYC workflows and regulatory reporting. They will mentor engineers and drive technical strategy while collaborating with various stakeholders.

As a Backend Engineer, design and maintain APIs and services, develop new features collaboratively, and ensure high engineering standards in a remote team environment.

Lead the PoC data science team, delivering POCs for enterprise clients, mentoring team members, and driving fraud analytics and ML solutions.

The DevOps Engineer will evolve infrastructure, manage CI/CD pipelines, improve observability, and enhance developer productivity in a remote-first team.

Manage key customer accounts and ensure satisfaction by maximizing ROI from Sardine's fraud prevention products, while collaborating with internal teams.

The Data Platform Engineer will design and implement ETL pipelines, develop APIs for data retrieval, and manage scalable storage, contributing to backend engineering efforts and data product development.

The Controller will oversee accounting operations, manage audits, financial reporting, internal controls, and support strategic decisions for a SaaS company.

The Support Engineer will provide technical support and customer assistance for the platform, troubleshoot issues, and collaborate with internal teams to enhance customer satisfaction and product quality.

As an FP&A Analyst, you'll manage budget analysis, partner with departments on financial planning, develop operating models, and leverage AI for financial insights.

As a Data Scientist, you will design and deploy data-driven fraud prevention solutions, working directly with clients to tackle unique challenges. You'll build machine learning models and collaborate with engineering to enhance backend systems.

Lead the development of device intelligence and fingerprinting systems by designing backend services, collaborating on integrations, and applying advanced machine learning algorithms to enhance security and combat fraud.