Backend Engineer - Scale Reliable SaaS Services (Remote)

Pantera Capital

San Francisco (CA)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Fully remote
Competitive compensation
Growth opportunities

Job summary

Fathom is seeking a backend engineer who can improve reliability, scalability, and efficiency of mission-critical services while building new capabilities. You will work across backend, infrastructure, and applications teams, addressing both core systems and long-tail problems with existing services.

You’ll help scale our services across regions, participate in architecture discussions, and deliver customer-focused improvements with a strong emphasis on async, high-throughput workloads.

Qualifications

  • Proficiency with Rails, ActiveRecord, and SQL performance optimization.
  • Experience with Kubernetes and Go or a systems language; GC and profiling know-how.
  • Familiarity with GCP/GKE, Linux, Docker, Redis, and streaming tech is a plus.
  • Experience at scale in SaaS or PaaS environments handling large async workloads.

Responsibilities

  • Improve reliability, scalability, and efficiency of mission-critical services.
  • Develop new services and tackle long-tail issues with existing ones.
  • Collaborate with backend, infra, and customer-support teams to enhance user experiences.
  • Lead architecture discussions and evaluate technology candidates for evolution.

Skills

Rails/ActiveRecord
Go
k8s
Systems programming
Cloud fundamentals
SaaS scale
Cross-functional collaboration

Tools

Docker
Linux
GKE / GCP
ffmpeg
Redis
Ruby on Rails

Job description

Fathom is seeking a backend engineer who can improve reliability, scalability, and efficiency of mission-critical services while building new capabilities. You will work across backend, infrastructure, and applications teams, addressing both core systems and long-tail problems with existing services.

You’ll help scale our services across regions, participate in architecture discussions, and deliver customer-focused improvements with a strong emphasis on async, high-throughput workloads.

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