TL;DR

Engineering Manager (Data Pipeline): Lead the design, scaling, and reliability of %hirify_global%'s data pipeline infrastructure processing petabytes of data daily with an accent on distributed systems, scalability, and cross-team collaboration. Focus on building and growing a high-performing engineering team, driving technical excellence, and ensuring low latency and high reliability at massive scale.

Location: Remote - United States

Salary: $217,000 - $303,900 USD

Company

%hirify_global% is a large internet community platform hosting over 100,000 active communities and 116 million daily active users, operating complex multi-cloud infrastructure.

What you will do

Lead design and evolution of %hirify_global%’s Data Pipeline to support scale and growth.
Drive high-impact projects aligned with engineering and business goals.
Build and mentor a high-performing engineering team fostering technical excellence.
Establish best practices for data production, consumption, and governance.
Ensure pipeline reliability and low latency at massive scale.
Collaborate with Ads, ML, and Consumer teams to support data needs.

Requirements

Location: Must be based in the United States (remote role limited to US).
2-4 years people management experience of engineering teams.
7+ years experience in large scale backend distributed systems.
Strong focus on scalability, performance, and quality.
Experience with Go, Kubernetes, Flink, Kafka, BigQuery is a plus.
BS degree in Computer Science or equivalent experience.

Culture & Benefits

Comprehensive healthcare and income replacement programs.
401k match and family planning support.
Gender-affirming care and mental health benefits.
Flexible vacation, global days off, and generous parental leave.
Paid volunteer time off.