Staff Software Engineer — Scalable Distributed Systems

Sentry

United States

À distance

USD 240 000 - 400 000

Plein temps

Il y a 2 jours
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Avantages offerts par ce poste

Equity grants
Paid time off
Health insurance

Résumé du poste

Sentry is seeking Staff Software Engineers to tackle challenging infrastructure and distributed systems problems. You will work on scaling real-time event processing, improving cloud infrastructure reliability, and building foundational services supporting our products.

In this role, you will identify important technical problems, lead design through production, and influence engineering decisions beyond your team. Hands-on coding and collaboration are essential.

Qualifications

  • 8+ years of software engineering experience with distributed systems or infrastructure.
  • Proficiency in Python, Go, Java, or comparable languages.
  • Experience designing and implementing technically complex systems.
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure).
  • Independently own complex technical projects from design to production.
  • Strong architectural judgment and tradeoff analysis.

Responsabilités

  • Design, build, and operate reliable distributed systems.
  • Own technically complex projects from problem identification to production.
  • Collaborate across teams to influence engineering direction and standards.
  • Mentor engineers and share technical knowledge.

Connaissances

Distributed systems
Cloud infrastructure
Programming languages
System design
Operational excellence
Engineering leadership

Outils

Kubernetes
Terraform
Kafka

Description du poste

Sentry is seeking Staff Software Engineers to tackle challenging infrastructure and distributed systems problems. You will work on scaling real-time event processing, improving cloud infrastructure reliability, and building foundational services supporting our products.

In this role, you will identify important technical problems, lead design through production, and influence engineering decisions beyond your team. Hands-on coding and collaboration are essential.

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