Original listing text, shown exactly as published by the company.
WHAT you'll do
- Design and improve systems with resilience and graceful degradation in mind. Plan for capacity and possible failure modes.
- Define and measure SLOs and SLIs that reflect customer experience and help teams make better reliability tradeoffs.
- Use observability tools such as Datadog, CloudWatch, logs, metrics, traces, and APM. Build signal-heavy, noise-light visibility into production systems.
- Configure and improve alerting and routing through incident management workflows. Make sure pages are actionable, well-routed, and worth human attention.
- Participate in incident response from detection and triage through communication, resolution, postmortems, and follow-up.
- Continuously improve the incident lifecycle. Focus on better detection, clearer runbooks, stronger postmortems, and concrete remediations.
- Construct or optimize infrastructure, reliability tooling, and automation that eliminate toil and ensure operational consistency.
- Use AI-assisted tools to accelerate coding and documentation. Speed up root-cause exploration, runbook improvement, infrastructure-as-code workflows, and operational tasks.
- Help engineering teams improve production readiness and deployment safety. Support service ownership and operational clarity.
- Communicate reliability concepts clearly across technical and non-technical teams.
- Document operational knowledge to reduce silos. Make it easier for engineers to respond with confidence.
- Contribute to a culture where reliability is shared by SRE and product engineering teams.
WHAT we're looking for
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field, or equivalent industry experience.
- 3+ years of experience in SRE, Software Engineering, Infrastructure Engineering, or a related role.
- Hands-on coding experience in Python, Go, or similar production-oriented programming languages.
- Experience operating production systems and contributing to reliability, observability, incident response, infrastructure, or automation improvements.
- Working knowledge of SLIs, SLOs, error budgets, MTTR, and how reliability data informs engineering tradeoffs.
- Experience using logs, metrics, dashboards, traces, and alerts to diagnose production issues.
- Experience with distributed systems concepts such as retries, backoff, timeouts, graceful degradation, capacity planning, and failure isolation.
- Experience improving alert quality, runbooks, incident processes, and follow-through after production issues.
- Ability to communicate clearly, write useful documentation, and explain reliability concepts in plain language.
- Experience using AI-assisted development tools such as GitHub Copilot, Cursor, ChatGPT, Claude, or similar tools as part of your software development or operational workflow.
- Interest in using AI-assisted workflows to reduce toil, accelerate investigation, improve infrastructure-as-code workflows, and strengthen operational practices.
- Interest in mentoring peers and growing your impact across teams over time.
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At EarnIn, we believe that the best way to build a financial system that works for everyday people is by hiring a team that represents our diverse community. Our team is diverse not only in background and experience but also in perspective. We celebrate our diversity and strive to create a culture of belonging. EarnIn does not unlawfully discriminate based on race, color, religion, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, national origin, ancestry, citizenship, age, physical or mental disability, legally protected medical condition, family care status, military or veteran status, marital status, registered domestic partner status, sexual orientation, genetic information, or any other basis protected by local, state, or federal laws. EarnIn is an E-Verify participant.
EarnIn does not accept unsolicited resumes from individual recruiters or third-party recruiting agencies in response to job postings. No fee will be paid to third parties who submit unsolicited candidates directly to our hiring managers or HR team.
