Product Manager – SRE, Data Engineer

🕒 Julho 8

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Sardine

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2020

🔒 Cibersegurança

📋 Conformidade

💳 Fintech

Cybersecurity • Compliance • Fintech

Sardine é uma plataforma de ponta focada em prevenção à fraude e compliance. A empresa oferece um sistema baseado em comportamento para detecção de fraudes, verificação de identidade e monitoramento de transações, ajudando grandes bancos, varejistas online e fintechs a se protegerem contra golpes e crimes financeiros. A tecnologia da Sardine integra biometria comportamental avançada e inteligência de dispositivos para combater fraude de identidade, fraude em pagamentos e sequestro de conta (Account Takeover — ATO). A plataforma também agiliza verificações de compliance, como KYC (Know Your Customer) e monitoramento de transações AML (Anti-Money Laundering). A solução abrangente da Sardine capacita seus clientes a automatizar decisões de risco, identificar precocemente usuários de alto risco e gerenciar fraudes de forma eficaz em toda a jornada do cliente.

Descrição

• Define, monitor, and enforce error budgets to ensure 99.99% product availability. • Create and execute production system scaling strategies and lead cloud infrastructure operational maintenance (e.g., Google Kubernetes Engine (GKE) cluster consolidation). • Own the GCP cloud computing budget. Analyze pricing structures and identify process flows to improve productivity and reduce operational costs (e.g., achieving 25% cost reductions). • Work with Data Engineers to prioritize performance tuning- such as partitioning and clustering BigQuery tables or optimizing ETL/ELT pipelines—so business users get their data faster. • Ensure the data architecture is structured to support advanced analytics and Machine Learning models, and prepare clean, accessible datasets for Data Scientists. • Partner with Legal and Security teams to ensure the AWS/GCP environment complies with privacy regulations (GDPR, CCPA) using Cloud IAM (Identity and Access Management) and strict data access policies.

🎯 Requisitos

• Deep understanding of cloud computing (GCP), infrastructure as code (Terraform), container orchestration (Kubernetes/GKE), and Site Reliability Engineering principles. • Extensive experience with Data Warehousing, Data Lakes, Business Intelligence (BI), and AI/Machine Learning product deployment. • Proven ability to manage large cloud budgets, analyze cost/pricing structures, and optimize infrastructure spend within the Google Cloud ecosystem. • Demonstrated experience directly managing technical personnel (engineers, SREs) and leading cross-functional teams without direct authority. • Exceptional ability to translate complex technical infrastructure and data concepts into clear business value for executive stakeholders.

🏖️ Benefícios

• Generous compensation in cash and equity • Early exercise for all options, including pre-vested • Work from anywhere: Remote-first Culture • Flexible paid time off and Year-end break • 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