Staff Data Ingestion Engineer: Scale & Architecture Lead

Aledade PBC

États-Unis

À distance

USD 140 000 - 200 000

Plein temps

14 jours+

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Résumé du poste

Aledade PBC is seeking a Staff Software Engineer to lead the evolution of our backend architecture, focusing on refactoring and optimizing data pipelines. You will drive next‑generation distributed data storage and processing systems designed to scale indefinitely and outperform traditional query performance.

You will design clean interfaces, mentor engineers, and set engineering standards to deliver high‑quality infrastructure that supports core web apps, analytics, and AI initiatives.

Qualifications

  • BS/BTech in Computer Science or a related field.
  • 8+ years of production‑level experience building highly scalable systems.
  • 4+ years as a trusted technical decision‑maker in a team setting.
  • 4+ years of experience with SQL on large multi‑table data sets.
  • Experience architecting, developing, and deploying large‑scale distributed systems.

Responsabilités

  • Identify scalable and performant solutions.
  • Shape product strategy and execution across teams.
  • Develop the foundations of code architecture and quality.
  • Mentor and coach engineers.
  • Set and uphold engineering processes to support high‑quality engineering.

Connaissances

Distributed systems
Backend development
SQL
Cloud platforms
CI/CD
Mentoring
Java
Python
Scala
C#
C++
Go

Formation

BS/BE in CS or related field

Outils

Docker
Kubernetes
Snowflake
Redshift
Databricks
AWS
Azure
GCP
CI/CD tooling

Description du poste

Aledade PBC is seeking a Staff Software Engineer to lead the evolution of our backend architecture, focusing on refactoring and optimizing data pipelines. You will drive next‑generation distributed data storage and processing systems designed to scale indefinitely and outperform traditional query performance.

You will design clean interfaces, mentor engineers, and set engineering standards to deliver high‑quality infrastructure that supports core web apps, analytics, and AI initiatives.

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