DevOps Engineer

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Sardine

51 - 200 employees

Founded 2020

🔒 Cybersecurity

📋 Compliance

💳 Fintech

Cybersecurity • Compliance • Fintech

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.

📋 Description

• Own and evolve our DevOps and platform engineering function, from build and deployment pipelines to monitoring, infrastructure as code, and cost optimization. • Design and maintain CI/CD pipelines that are secure, scalable, and built to support rapid product iterations without sacrificing stability. • Improve observability via Datadog, GCP, and custom dashboards, including FinOps focused observability outcomes. • Implement and maintain FinOps governance, including showback and chargeback models, to drive cost accountability across engineering teams. • Enable developer productivity by creating internal tooling, reusable modules, and simplifying infrastructure for other engineering teams. • Help teams define and measure SLOs setting the standard for how we think about system health and reliability. • Serve as a FinOps thought leader, collaborating with Product and Engineering to define the most cost-effective architectural patterns for new services and features. • Play a key role in shaping our engineering culture, DevOps best practices, and influencing our long-term DevOps roadmap. • Work cross-functionally with product engineering, security, finance, and other teams to align technical spending with business unit economics and financial goals.

🎯 Requirements

• 6+ years of experience in DevOps, SRE, or software engineering roles, ideally in high-growth startup environments • Proficiency in Python or Go, with strong software engineering fundamentals • Proven ownership of production infrastructure and platform tooling, with strong debugging skills and the ability to troubleshoot complex distributed systems and diagnose unforeseen financial spikes • Demonstrated experience in designing and implementing highly secure and robust infrastructure, particularly in environments with stringent regulatory requirements such as those used by government agencies and major financial institutions • Deep experience with Kubernetes and tools like ArgoCD, Helm, and Terraform • Familiarity with GCP (preferred) or other major cloud providers, with a deep focus on cloud cost management, leveraging reserved instances/savings plans, and implementing cost anomaly detection • Hands-on experience with dedicated FinOps tooling (e.g., Kubecost, AWS Cost Explorer, GCP Cloud Billing, DoIT Cloud Intelligence) or building custom tooling for cost allocation and reporting. • Strong experience building CI/CD pipelines and internal developer tooling from the ground up • Hands-on experience with observability tools like Prometheus or Datadog, and participation in an on-call rotation

🏖️ 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 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

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