Staff Site Reliability Engineer, Earnin
$252-308k
+ Equity
2 days a week in office (Mountain View, CA)
Paycheck advance service for employees
Open for applications
Paycheck advance service for employees
501-1000 employees
Open for applications
$252-308k
+ Equity
2 days a week in office (Mountain View, CA)
501-1000 employees
Company mission
To build a financial system that works for people.
Role
Who you are
- 7+ years in SRE, Software Engineering, or Infrastructure Engineering with increasing scope and cross-org influence. Track record of KPI driven reliability and operational excellence improvements at scale
- Demonstrated experience applying AI/LLMs to operational workflows in production: alert triage/resolution, runbook automation, incident investigation, postmortem, or agentic operations tooling. Not a theoretical interest, but shipped work
- Significant expertise with SLOs/SLIs, error budgets, incident command, and blameless postmortems in large-scale distributed systems. You have driven follow-through that actually prevented recurrence
- Meaningful software engineering ability (Python, Go, or similar). You build tools and automation, not just dashboards
- Deep observability experience (Datadog, CloudWatch, OpenTelemetry) with pragmatic, signal-heavy alerting designed for real human response, enhanced by AI-driven noise reduction
- Solid infrastructure-as-code proficiency (Terraform, Kubernetes, AWS) with safe, reversible deployment practices
- Proficiency with AI-assisted development tools (Cursor, Claude Code, Copilot) to accelerate your own engineering work and to model that behavior for the teams you partner with, and experience using AI-assisted development tools as part of your software development workflow
- Experience in fintech or regulated environments (SOC 2, PCI), and familiarity with FinOps or cost/performance tradeoffs in high-scale systems is a plus
What the job involves
- Lead EarnIn's shift to AI-first reliability engineering. Define how AI transforms on-call, incident response, alert triage, postmortems, and production investigations across SRE and product engineering teams, while setting SLO-driven standards and resilience patterns that enable the company to ship fast and stay safe
- Set a reliability strategy with AI at the center. Define SLIs, SLOs, and error budgets across critical services. Use AI to surface trends, predict capacity risks, and auto-generate reliability scorecards so teams act on data
- Redesign the incident lifecycle around AI-assisted speed. Lead high-severity incident response as IC. Build AI-driven alert correlation and triage that reduces noise and accelerates root-cause identification. Drive adoption of AI-generated postmortems that surface systemic patterns and automatically track corrective actions through to completion
- Improve on-call fundamentally better through automation. Build AI agents that draft runbook responses, pull relevant context from Datadog, incident.io, and Slack during pages, and recommend remediation steps, so on-call engineers spend less time deciding and searching
- Push AI-first operations into product engineering teams. Partner with product engineering to embed AI-assisted investigation, alerting, and production readiness into their workflows. Make AI tooling the default path for every team that owns a service, not an SRE-only capability
- Architect for resilience at scale. Guide service designs for graceful degradation, failure isolation, and capacity planning across EarnIn's AWS footprint (EKS, Kafka, DynamoDB, RDS, SQS). Use AI-driven analysis to identify architectural weak points before they become incidents
- Raise the bar through mentorship and standards. Coach engineers on reliability practices, run design and incident reviews, and build documentation and tooling that makes reliability knowledge accessible. Set the expectation that AI-assisted workflows are how EarnIn operates, not an experiment
Our take
Paying bills is an inevitable part of life, but paying them late or dipping into overdrafts can result in fees. This is the reality for millions of workers who have to wait for their paychecks to arrive – and the problem that companies like EarnIn are trying to solve. By allowing hourly workers access to their pay as it is earned rather than on a fixed date, it hopes to provide all Americans with the ability to deal with immediate costs without going into arrears.
Unlike competitors in this growing space, Earnin charges no mandatory fees, instead gaining revenue through a voluntary tipping system. It also requires no credit checks to access its services, which puts it ahead of the growing number of digital banking solutions. This approach has garnered it a strong user base of business customers who offer Earnin as an employee benefit.
Earnin has managed to continue its steady growth even while the wider tech landscape suffered setbacks, which suggests a wise leadership. It also continues to improve its offering and expand its network of businesses, aiming to give every employee in America control of the money they've earned.
Freddie
Company Specialist at Welcome to the Jungle
Insights
42% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Dec 2018
$125m
SERIES C
Sep 2017
$39m
SERIES B
Total funding: $190.1m
Company benefits
- 401k
- FSA
- Mental health resources
- Employee Resource Groups
- Stipend for growth opportunities
- Pet friendly office
- Work from home opportunities
- Health insurance
Company HQ
Evergreen Park, Palo Alto, CA
Leadership
Ram Palaniappan
(Founder & CEO)Was Senior Operations Manager at Reflect.com, a P&G company. Served as President of UniRush from 2004 to 2012.
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