Infrastructure Engineer, Scale & Security

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United States

Remote

USD 164,000 - 229,000

Full time

14 hours ago
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Benefits offered by this job

Comprehensive Healthcare Benefits
401k with Employer Match
Paid Parental Leave
Mental Health & Coaching Benefits
Flexible Vacation
Career Development Support

Job summary

Reddit is seeking an experienced Infrastructure Engineer to join the cross-functional architecture and end-to-end delivery teams. You will translate business and user needs into reliable, low-latency technical solutions and own major product initiatives from design through rollout and observability.

The role emphasizes distributed systems, API performance, mentoring teammates, and applying data-driven decisions using experiments and tools like BigQuery, HEX, or Firebase.

Qualifications

  • 3+ years of experience building internet-scale software, preferably distributed systems infrastructure or infrastructure security.
  • Proficiency in one or more general purpose programming languages: Golang, Python, C++, Java.
  • Experience with essential cloud infrastructure (Kubernetes, CI/CD, AWS, GCP).

Responsibilities

  • Collaborate with Product Management, Design, Data Science, and Client Engineers to translate needs into reliable, low-latency solutions.
  • Own the full software lifecycle for major product initiatives from design docs to rollout and observability.
  • Design and evaluate A/B experiments and analyze user behavior using tools like BigQuery, HEX, or Firebase.

Skills

Distributed systems
Golang
Python
C++
Java
Cloud infrastructure
Kubernetes
CI/CD
AWS
GCP

Education

Bachelor's degree in Computer Science or equivalent

Tools

Kubernetes
AWS
GCP
CI/CD
REST/GraphQL/gRPC

Job description

Reddit is seeking an experienced Infrastructure Engineer to join the cross-functional architecture and end-to-end delivery teams. You will translate business and user needs into reliable, low-latency technical solutions and own major product initiatives from design through rollout and observability.

The role emphasizes distributed systems, API performance, mentoring teammates, and applying data-driven decisions using experiments and tools like BigQuery, HEX, or Firebase.

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