Senior Backend Engineer (Go) - Scalable Systems, Remote

Customer.io; United States; Remote; USD 150,000 - 200,000; Full time

Benefits offered by this job

Medical coverage

Dental coverage

Vision coverage

Mental health coverage

Parental leave (16 weeks)

Unlimited PTO

Remote work stipend

Professional development budget

Wellness stipend

Job summary

Customer.io, a United States–based company, seeks experienced backend engineers who value reliability, performance, and scalability. You will design, build, and evolve systems powering communications at massive scale, pushing engineering boundaries.

Work in Go to craft distributed services, collaborate across teams, own problems end to end—from architecture to monitoring—and share progress publicly through videos and writing, with mentorship and AI-assisted workflows.

Qualifications

• 7+ years of experience building scalable, distributed systems in Go or similar languages.
• Experience operating production systems in cloud-native environments (AWS, GCP).
• Familiarity with relational databases (MySQL) and understanding of performance tradeoffs.

Responsibilities

• Design and build distributed systems in Go that handle high-scale communications.
• Collaborate across teams to debug issues and deliver reliable solutions.
• Own problems end to end—from architecture and schema design to testing, deployment, and monitoring.

Skills

Distributed systems

Go

AWS / GCP

MySQL

Observability tooling

Ownership / bias for action

Education

Bachelor's degree in a relevant field

Tools

Prometheus

Grafana

CI/CD

Job description

Customer.io, a United States–based company, seeks experienced backend engineers who value reliability, performance, and scalability. You will design, build, and evolve systems powering communications at massive scale, pushing engineering boundaries.

Work in Go to craft distributed services, collaborate across teams, own problems end to end—from architecture to monitoring—and share progress publicly through videos and writing, with mentorship and AI-assisted workflows.