Evolving our Python runtime and stack by improving performance, concurrency, memory use, and dependency management.
Building and scaling core platform services that provide the foundation for reliability, scalability, and developer velocity across engineering.
Optimizing storage systems for consistency, scale, and performance.
Embedding observability and reliability patterns into the platform by default.
Refactoring and modularizing large-scale codebases to maintain developer velocity and ensure our primary codebases remain a productive environment at scale.
Partnering with product and infra teams to deliver platform APIs and abstractions that strike the right balance between velocity and long-term stability.
Laying the groundwork for future platform needs, from global expansion to enabling new product capabilities.
Requirements
7+ years of backend engineering experience (10+ for Staff-level).
Strong experience with large-scale backend systems, ideally Python, but experience in other stacks (Java, Go, Elixir, etc.) welcome.
Deep expertise with storage systems (Postgres, DynamoDB, Planetscale).
Proven experience building or scaling messaging, notification, or caching systems.
Background in refactoring large codebases for scale, performance, and maintainability.
Hands-on with runtime and platform optimization such as concurrency models, async patterns, and memory tuning.
Familiarity with service reliability and observability practices such as metrics, tracing, circuit breakers, and failure isolation.
Comfortable operating in a cloud-native environment such as AWS or GCP with Kubernetes, Docker, and Terraform.
Known for setting strong technical standards and for building patterns that other engineers adopt.
Additional Instructions
Evolving our Python runtime and stack by improving performance, concurrency, memory use, and dependency management.
Building and scaling core platform services that provide the foundation for reliability, scalability, and developer velocity across engineering.
Optimizing storage systems for consistency, scale, and performance.
Embedding observability and reliability patterns into the platform by default.
Refactoring and modularizing large-scale codebases to maintain developer velocity and ensure our primary codebases remain a productive environment at scale.
Partnering with product and infra teams to deliver platform APIs and abstractions that strike the right balance between velocity and long-term stability.
Laying the groundwork for future platform needs, from global expansion to enabling new product capabilities.
Perks and Benefits
Generous Holiday and Time off Policy
Health Insurance options including Medical, Dental, Vision
Work From Home Support
Home office setup allowance
Monthly allowance for cell phone and internet
Care benefits
Monthly allowance for wellness
Annual allowance towards Childcare
Lifetime benefit for family planning, such as adoption or fertility expenses
Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally
Monthly allowance to dogfood the app
Parental Leave
16 weeks of paid parental leave + one month gradual return to work *company leave allowances run concurrently with country leave requirements which take precedence.
