Platform Reliability Engineer (Staff)

JobCubby; Northern (KY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Equity

Health benefits

Job summary

Attentive’s Platform Infrastructure team seeks a Staff Engineer to drive reliability and scalability across our event-driven platform serving 100M+ customers daily. You will design systems, mentor engineers, and influence roadmaps for high-impact initiatives.

You will collaborate with AI/ML, Data, Platform, and Product teams to deliver robust services, improve observability, and optimize costs while upholding security and performance standards.

Qualifications

• 7+ years of experience in Production Engineering, Backend Engineering, SRE, DevOps or similar role.
• Strong technical background enabling long-term architectural planning.
• Proficient problem-solver with coding skills in at least one language (Golang, Python, Java, Typescript).
• Track record delivering medium to large-scale reliability improvements.
• Deep understanding of production reliability concepts: SLIs, SLOs, incident management.

Responsibilities

• Design and deliver high-impact solutions improving reliability, observability, traceability, and incident management.
• Lead cross-team initiatives with technical leadership and guidance.
• Collaborate with AI/ML, Data, Platform, and Product teams to build best-in-class services.
• Define and enforce production standards, tools, and processes.
• Champion reliability goals and implement SLIs/SLOs across the org.
• Mentor team members and help develop future engineering leaders.
• Drive continuous improvement and challenging the status quo.

Skills

Backend Engineering

SRE

DevOps

Golang

Python

Java

Typescript

System Design

Job description

Attentive’s Platform Infrastructure team seeks a Staff Engineer to drive reliability and scalability across our event-driven platform serving 100M+ customers daily. You will design systems, mentor engineers, and influence roadmaps for high-impact initiatives.

You will collaborate with AI/ML, Data, Platform, and Product teams to deliver robust services, improve observability, and optimize costs while upholding security and performance standards.