Staff Backend Observability Engineer - Remote

Affirm, Inc.

Phoenix (AZ)

Remote

USD 204,000 - 264,000

Full time

35 hours ago
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Benefits offered by this job

Health coverage
Stipends for tech setup
Flexible time off
ESPP stock purchase

Job summary

AFFIRM is seeking a Staff Software Engineer to lead Observability. You’ll own the telemetry pipeline architecture, design log sampling, and shape how observability integrates into agentic development.

You’ll mentor six engineers and partner with product and infrastructure teams while setting long-term technical strategy. You will spend most of your time hands-on and define roadmaps, ensuring code quality and operational excellence across the platform.

Qualifications

  • 8+ years designing backend systems at scale.
  • Distributed systems with high availability (AWS, MySQL, Flink, Kubernetes).
  • Telemetry systems (metrics/logs/traces) using OpenTelemetry, Kafka, Terraform.

Responsibilities

  • Own the telemetry pipeline architecture for 200+ TB/day, balancing reliability, performance and cost.
  • Design log sampling strategies to reduce volume and cost without losing signal during incidents.
  • Shape observability integration into agentic development for AI coding agents and code review.

Skills

Backend architecture
Telemetry systems design
Cross-functional collaboration
Mentoring engineers
Roadmap planning
Communication
Adaptability
Problem solving under ambiguity
Leadership
Strategic thinking

Education

Bachelor's degree or equivalent

Tools

AWS
MySQL
Flink
Kubernetes
OpenTelemetry
Kafka
Terraform

Job description

AFFIRM is seeking a Staff Software Engineer to lead Observability. You’ll own the telemetry pipeline architecture, design log sampling, and shape how observability integrates into agentic development.

You’ll mentor six engineers and partner with product and infrastructure teams while setting long-term technical strategy. You will spend most of your time hands-on and define roadmaps, ensuring code quality and operational excellence across the platform.

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