DevOps Engineer

Who we are:

We are a leader in financial crime prevention. Using unparalleled device intelligence and behavior biometrics, we apply machine learning to detect and stop fraud before it happens. The platform includes tools for identity verification, fraud prevention and investigation, AML monitoring, and case management. Over 250 companies use Sardine to prevent fake account creation, social engineering scams, account takeovers, bot attacks, payment fraud, and money laundering. We raised $75M, led by Andreessen Horowitz Growth, XYZ Capital, Google Ventures, Visa, Activant Capital, Experian, and ING Ventures.

Our culture:

• We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we have a remote-first work culture. #WorkFromAnywhere

• We hire talented, self-motivated people and get out of their way

• We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, or doctor's appointments for the sake of adhering to an arbitrary work schedule.

Location: 524 Broadway, Floor 10, New York, New York 10012. This position allows for telecommuting and can be performed 100% remotely from anywhere within the U.S.

Position Duties: Design, implement and optimize DevOps processes within the company; Design, build and maintain automated deployment and monitoring processes to increase the velocity of the engineering team; Design automated fault detection infrastructure and systems that run in 24x7 mode with yearly downtime measured in minutes; Automating operational tasks and proactively identifying and addressing risks; Develop statistical and machine learning models for fraud prevention and other use cases; Use data and models to support the development of risk mitigation strategies and interventions while preserving and improving the user experience; Terraform SardineAI’s entire infrastructure; Migrating existing infrastructure to Kubernetes; Implementing unique automation tools like Datadog as a code; Improving the monitoring and resilience of the infrastructure; Improving the scalability, reliability, and performance of the infrastructure; Writing high quality code in programming languages (e.g. Python, Ruby, Scala, Go) and create reusable simplified code for engineers to use to build up dashboards for their team; Building CI/CD pipelines, security controls, monitoring capabilities, build configuration, integration processes and pipeline and ensuring CI/CD pipelines are built well with future proofing solutions; Improving telemetry tooling i.e. Tracing support for our architecture.

Requirements: : Bachelor’s degree in Computer Science, Computer Engineering or closely

related field, plus one (1) year of experience required in the following:

• Developing in Python and Terraform

• Using Google Cloud Platform and Sentry

• Utilizing Kubernetes …