TL;DR
Senior Backend Engineer (Distributed Systems): Building and operating large-scale distributed storage and database infrastructure to support hirify.global’s core services with an accent on high-performance data ingestion, backup, and service reliability. Focus on designing robust frameworks for NewSql databases, simplifying data schematization, and ensuring system scalability for millions of global users.
Location: Must be based in the United States and reside in a state where hirify.global has a registered entity (Remote Eligible with occasional office/offsite attendance).
Salary: $191,000–$225,000 USD
Company
A global platform connecting millions of hosts and guests through unique stays and experiences.
What you will do
- Design, build, and operate core distributed storage services, including open-source NewSql databases on Kubernetes.
- Develop and maintain frameworks for monitoring, service discovery, and database permissions.
- Create generalized data schematization solutions to simplify data management for internal engineering teams.
- Analyze and debug complex production systems to ensure high performance and reliability.
- Collaborate with cross-functional teams to deliver multi-month infrastructure projects.
Requirements
- Must reside in the United States in a state where hirify.global has a registered entity.
- 5+ years of professional experience in building and operating large-scale backend distributed systems.
- Expertise in storage infrastructure, data ingestion, backup/restore, and streaming.
- Ability to own and dive deeply into complex, large-scale codebases.
- Experience in maintaining, analyzing, and debugging production-level services.
- Strong communication skills suitable for a collaborative, remote-working environment.
Culture & Benefits
- Competitive base pay with potential for bonus and equity.
- Comprehensive health and wellness benefits.
- Employee Travel Credits for hirify.global stays and experiences.
- Supportive environment fostering inclusion and diverse ideas.
- Opportunities to solve large-scale technical challenges in a distributed organization.
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