# Platform Engineer (AI Automation) at EarnIn

EarnIn is hiring a Platform Engineer (AI Automation) in Mexico City, Mexico. Level rates it Builds AI ●●●●; you can [apply on EarnIn](https://jobsbylevel.com/go/55816e12-dbd2-4fe6-875d-03d41e046632?utm_medium=ai-agent).

AI Level 4, AI centrality 85 out of 100. Remote (Mexico City, Mexico).

## Details

- Company: [EarnIn](https://jobsbylevel.com/companies/earnin)
- AI level: AI Level 4 (score 85 out of 100)
- Location: Remote (Mexico City, Mexico)
- Posted: November 2, 2026
- Apply: https://jobsbylevel.com/go/55816e12-dbd2-4fe6-875d-03d41e046632?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=platform-engineer-ai-automation-at-earnin-b1675f

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/platform-engineer-ai-automation-at-earnin-b1675f

## Description

ABOUT EARNIN As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We’re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We’re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY We're seeking a Platform Engineer (I3) who is an AI-native builder, someone who doesn't just use AI tools but designs and deploys AI agents to eliminate toil, accelerate developer workflows, and multiply what a lean team can deliver. You will own solutions across Kubernetes (AWS EKS), GitOps (Argo CD), CI/CD (GitHub Actions), and our developer portal (Cortex), while relentlessly automating repetitive operational work through agentic AI. As an I3 engineer, you are a professional contributor who effectively represents the team's perspective and communicates across functions. You will collaborate with DevX, SRE, and Product Engineering peers to turn fragmented workflows into AI-powered golden paths, building agents that handle incident triage, environment provisioning, config generation, and developer self-service so engineers can focus on high-value work instead of tickets, aligned with our Platform Engineer growth matrix. This position will ideally be hybrid at our Mexico City office as part of our expanding site, though remote work is possible. EarnIn offers excellent employee benefits, including healthcare, internet and cell phone reimbursement, a learning and development stipend, and potential opportunities to travel to our headquarters in Mountain View. Our salary ranges depend on role, level, and location. WHAT YOU'LL DO AI-Agent Development: Design, build, and iterate on AI agents that automate platform operations, from service and infra bootstrap, intelligent incident diagnosis, automated runbook execution, to self-healing infrastructure and PR-review bots. Own the agent lifecycle: prompt engineering, tool/function-call orchestration, evaluation, and production monitoring. Workflow Automation with AI: Identify and eliminate repetitive human-in-the-loop workflows across CI/CD, environment management, access provisioning, and change management. Developer Self-Service: Evolve our developer control plane (Cortex) into an AI-augmented self-service platform where engineers interact with intelligent assistants, not just dashboards, to scaffold services, debug deployments, query platform health, and resolve issues without filing tickets. Delivery & GitOps: Implement and maintain GitOps-based continuous delivery with Argo CD, integrating AI into CI pipelines for intelligent test selection, automated config validation, and deployment risk scoring. Kubernetes Infrastructure: Operate and evolve our Kubernetes platform on AWS EKS, focusing on environment hygiene, security, and cost efficiency, leveraging AI for anomaly detection, capacity recommendations, and automated remediation. Observability & Operational Excellence: Strengthen reliability by monitoring SLOs/error budgets and utilizing Datadog for metrics, traces, and logs, building AI-driven alerting and root-cause-analysis agents that reduce mean-time-to-resolution. Service Standardization: Maintain service scaffolds and templates that encode standards for testing and telemetry, using AI to auto-generate and validate configurations against platform baselines. WHAT WE'RE LOOKING FOR Bachelor's or Master's degree in Computer Science, Engineering, or a related field. 3+ years in platform, infrastructure, or backend engineering with

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Source: https://jobsbylevel.com/jobs/platform-engineer-ai-automation-at-earnin-b1675f

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Level. https://jobsbylevel.com/jobs/platform-engineer-ai-automation-at-earnin-b1675f.

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