# Site Reliability Engineer II

**Company**: EarnIn
**Location**: Mexico City, Mexico; Remote, Mexico
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: Competitive salary and benefits package
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/earnin/jobs/7895723?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_f9b3f6a8-26e

## Description

## About EarnIn

EarnIn is a pioneer in earned wage access, providing financial flexibility for individuals living paycheck to paycheck.

## Position Summary

We have a real passion for delivering the best product experience for our community members. We work closely with all teams and share responsibility for rapidly delivering production-ready features to our community. We build or contribute to infrastructure, reliability tooling, and practices that help teams ship quickly and safely.

## Responsibilities

- Design systems with resilience, graceful degradation, and capacity in mind.

- Define and measure SLOs and SLIs that actually reflect what our customers feel.

- Use Datadog (logging, metrics, APM) together with CloudWatch to build signal-heavy, noise-light observability.

- Configure alerting and routing that reach engineers through incident.io, where we run incident management and on-call, so that when a human gets paged, it really matters.

- Continuously improve our incident lifecycle, from fast detection and solid triage, through clear communication, to blameless, actionable follow-ups.

- Combine solid software fundamentals with reliability thinking so our systems are highly available, easy to debug, and a joy to work on.

## Requirements

- A bachelor's or master's degree in computer science or equivalent industry experience.

- 3+ years of experience in an SRE or Software Engineering role.

- Hands-on coding experience in Python and/or Go.

- Distributed Systems Expertise , Proven experience designing, operating, and shepherding large-scale distributed systems from design through production, including incident learnings that make on-call quieter over time.

- Reliability Engineering Mindset , Deep fluency in SLOs, SLIs, error budgets, and MTTR , using them to drive decisions and explain tradeoffs, not just decorate dashboards.

- Observability & Incident Response , Treats observability as essential, not optional; stays calm under pressure; can diagnose incidents from logs and metrics and translate findings into durable process and technical improvements.

- Cross-functional Communication , Able to work across technical and non-technical teams, reduce silos through documentation and runbooks, and explain reliability concepts in plain language.

- Operational Tooling & AI Fluency , Selects the right tools for production management and leverages AI-assisted development to reduce toil, accelerate RCA, and streamline infrastructure-as-code workflows.

- Leadership & Mentorship , Can plan and lead strategic reliability initiatives across engineering, and invests in mentoring engineers as a high-leverage path to long-term reliability improvements.

## What We're Looking For

A bachelors or masters degree in computer science or equivalent industry experience, 3+ years of experience in an SRE or Software Engineering role, hands-on coding experience in Python and/or Go, distributed systems expertise, reliability engineering mindset, observability and incident response, cross-functional communication, operational tooling and AI fluency, and leadership and mentorship.

## Benefits

EarnIn offers excellent employee benefits, including healthcare, internet and cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our Mountain View headquarters.

## Skills

### Required
- Python
- Go
- Datadog
- CloudWatch
- incident.io
- SLOs
- SLIs
- error budgets
- MTTR

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/earnin/jobs/7895723?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)