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Description:
Design, implement, and optimize DevOps processes within the company
Build and maintain automated deployment and monitoring processes to increase engineering team velocity
Develop fault detection infrastructure and systems running 24x7 with minimal downtime
Automate operational tasks and address risks proactively
Create statistical and machine learning models for fraud prevention and other use cases
Utilize data and models to develop risk mitigation strategies while enhancing user experience
Terraform SardineAI’s infrastructure and migrate existing infrastructure to Kubernetes
Implement unique automation tools like Datadog as code
Enhance monitoring, resilience, scalability, reliability, and performance of infrastructure
Write high-quality code in languages like Python, Ruby, Scala, Go
Build CI/CD pipelines, security controls, monitoring capabilities, and integration processes
Improve telemetry tooling for architecture
Requirements:
Bachelor’s degree in Computer Science, Computer Engineering, or related field, with 1 year of experience in:
Python and Terraform development
Google Cloud Platform and Sentry usage
Kubernetes and Helm for deployments
Linux and Bash scripting
GoLang programming
Git and Docker utilization
PostgreSQL
CI/CD pipeline structure and workflows
Container orchestration and cloud deployments
Data structures, algorithms, and automated workflows
API integration and dashboard architecture
OR
3 years of experience in the same requirements as mentioned above
Benefits:
Competitive compensation in cash and equity
Extended post-termination option exercise period of 7 years
Early exercise for all options, including pre-vested
Remote-first work culture
Flexible paid time off
Health insurance, dental, and vision coverage for employees and dependents (US and Canada)