Remote-First Senior Backend Engineer, Distributed SQL

Affirm

New York (NY)

À distance

USD 180 000 - 240 000

Plein temps

Il y a 5 jours
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Avantages offerts par ce poste

Remote-first compensation
Generous time off
Health benefits
Learning & Development

Résumé du poste

Affirm is seeking a Senior Software Engineer to architect and scale relational and distributed SQL databases, spanning MySQL, TiDB and PostgreSQL. You will own the control plane for provisioning, failover, backups, and upgrades in a large production environment.

You will design zero-downtime migrations, optimize SQL performance, and ensure robust networking between services and storage on Kubernetes. Collaboration with product, design and analytics is essential.

Qualifications

  • 5+ years of experience as a software engineer.
  • Experience with large-scale database deployments in production environments.
  • Expertise in distributed databases (MySQL, TiDB, Postgres, Spanner, Vitess, CockroachDB).
  • Experience with Kubernetes networking, service discovery and TLS.

Responsabilités

  • Architect, build and scale relational and distributed SQL databases.
  • Own control plane for databases, automating provisioning, failover, backups and upgrades.
  • Design and execute zero-downtime migrations across multi-tenant clusters.
  • Own networking stack connecting services to storage on Kubernetes.
  • Deliver quarterly team goals and mentor engineers.
  • Collaborate with product, design and analytics through the lifecycle.

Connaissances

ProxySQL
RDS Proxy
PgBouncer
Zero-downtime migrations
Large-scale deployments
Kubernetes networking
DB automation tooling
Technical planning
Distributed databases
Python
Kotlin
AWS
Terraform
SQL tuning
Quality code

Formation

Bachelor’s degree in a related field

Outils

Terraform
CLI tooling

Description du poste

Affirm is seeking a Senior Software Engineer to architect and scale relational and distributed SQL databases, spanning MySQL, TiDB and PostgreSQL. You will own the control plane for provisioning, failover, backups, and upgrades in a large production environment.

You will design zero-downtime migrations, optimize SQL performance, and ensure robust networking between services and storage on Kubernetes. Collaboration with product, design and analytics is essential.

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