Platform Engineer

Earnin; Ciudad de México; Hybrid; MXN 1,117,000 - 2,048,000; Full time

Job summary

EarnIn in Mexico City is seeking a Platform Engineer (I3) to design and deploy AI agents that automate platform operations and streamline developer workflows. You will own Kubernetes (AWS EKS), Argo CD, GitHub Actions, and our Cortex portal, building AI-powered workflows that reduce toil and enable rapid delivery.

The role emphasizes agentic AI, GitOps delivery, observability with Datadog, and strong collaboration with DevX, SRE, and Product Engineering teams to turn complex processes into

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 3+ years in platform, infrastructure, or backend engineering with deep knowledge of Kubernetes (EKS) and AWS.
• Experience building AI agents or agentic workflows, not just using AI tools.
• Proven automation of repetitive workflows with AI to improve team productivity.
• Experience with GitOps (ArgoCD) and CI (GitHub Actions).
• Strong Go and/or Python coding skills; treat infrastructure as software.
• Excellent communication and cross-team collaboration skills.
• Experience with LLM orchestration frameworks (LangChain, LlamaIndex, CrewAI) and prompt engineering.

Responsibilities

• Design, build, and iterate on AI agents that automate platform operations and workflows.
• Eliminate repetitive human-in-the-loop tasks across CI/CD, environment management, and provisioning.
• Evolve Cortex into an AI-augmented self-service platform for developers.
• Implement and maintain GitOps-based delivery with Argo CD and AI-enhanced CI pipelines.
• Operate and evolve Kubernetes on AWS EKS with AI-driven optimization and remediation.
• Strengthen reliability by monitoring SLOs with Datadog and building AI-driven alerts.

Skills

Kubernetes

Go

Python

GitHub Actions

ArgoCD

AI agents

LangChain

LlamaIndex

CrewAI

CI/CD

Education

Bachelor's or Master's in Computer Science/Engineering

Tools

ArgoCD

GitHub Actions

Datadog

Cortex

Kubernetes

Job description

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 deep knowledge of Kubernetes (EKS) and cloud‑native architectures on AWS.
• Demonstrated experience building AI agents or agentic workflows, not just using Copilot or ChatGPT, but designing multi‑step AI systems that autonomously perform operational tasks (e.g., LLM‑powered runbook agents, intelligent CI/CD bots, self‑service assistants with tool‑use/function‑calling).
• A track record of automating repetitive workflows with AI. You should be able to point to specific examples where you replaced manual processes with AI‑driven automation that let a team do more with fewer resources.
• Experience in GitOps (ArgoCD) and CI (GitHub Actions) for multi‑service systems.
• Strong coding skills in Go and/or Python, treating infrastructure as software.
• Excellent communication skills; able to clearly convey technical problems and advocate for both team and customer needs.
• Experience with LLM orchestration frameworks (e.g., LangChain, LlamaIndex, CrewAI, or custom agent architectures) and prompt engineering for production systems.
• Mission‑Driven: A strong advocate for the customer who takes initiative to fix issues and constantly asks, "Can an AI agent do this instead of a human?"

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.

A Note on AI in the Hiring Process:

EarnIn may use Artificial Intelligence (AI)-powered tools during the hiring process, including tools that (i) generate summaries or notes for interviewers, (ii) review resumes, (iii) assist with scheduling interviews, (iv) help identify themes across candidate responses and profiles for a given role, and (v) assist with populating the interview scorecard.

Final hiring decisions are made by human interviewers and hiring managers.