Software Engineer II

EarnIn

Platform Engineer automating infrastructure operations and building AI agents for EarnIn's financial products. Collaborating with teams for improved developer workflows and operational excellence.

Posted 6/4/2026full-timeMexico City • 🇲🇽 MexicoMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSCloudGoKubernetesPython

About the role

Key responsibilities & impact

Design, build, and iterate on AI agents that automate platform operations.
Identify and eliminate repetitive human-in-the-loop workflows across CI/CD, environment management, access provisioning, and change management.
Support our Kubernetes platform on AWS EKS, with a focus on environment hygiene and security.
Utilize our developer control plane (Cortex) to maintain paved paths and self-service actions.
Strengthen operational excellence by monitoring SLOs/error budgets and utilizing Datadog for metrics, traces, and logs to improve system reliability.
Develop platform services using industry best practices that enable operational excellence for Data, CI/CD, and Security.
Maintain service scaffolds and templates that encode testing and telemetry standards.

Requirements

What you’ll need

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).
Track record of automating away repetitive workflows with AI. You should be able to point to specific examples in which you replaced manual processes with AI-driven automation, enabling a team to do more with fewer resources.
Experience in GitOps (Argo CD) 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 issues and advocate for both the team's and the customer's 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?"
Experience with service mesh (e.g., Linkerd) and traffic management patterns is a plus.
Hands-on contributions to developer productivity insights and observability for cost-aware engineering decisions are a plus.

Benefits

Comp & perks

healthcare
internet and cell phone reimbursement
learning and development stipend
potential opportunities to travel to our Mountain View headquarters

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

KubernetesAWS EKSAI agentsGitOpsArgo CDCIGitHub ActionsGoPythonLLM orchestration frameworks

Soft Skills

communicationadvocacyinitiativeproblem-solvingoperational excellence

Certifications

Bachelor's degreeMaster's degree